Week+3.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "_You are currently looking at **version 1.0** of this notebook. To download notebooks and datafiles, as well as get help on Jupyter notebooks in the Coursera platform, visit the [Jupyter Notebook FAQ](https://www.coursera.org/learn/python-data-analysis/resources/0dhYG) course resource._\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Merging Dataframes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cost</th>\n",
       "      <th>Item Purchased</th>\n",
       "      <th>Name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Store 1</th>\n",
       "      <td>22.5</td>\n",
       "      <td>Sponge</td>\n",
       "      <td>Chris</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Store 1</th>\n",
       "      <td>2.5</td>\n",
       "      <td>Kitty Litter</td>\n",
       "      <td>Kevyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Store 2</th>\n",
       "      <td>5.0</td>\n",
       "      <td>Spoon</td>\n",
       "      <td>Filip</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Cost Item Purchased   Name\n",
       "Store 1  22.5         Sponge  Chris\n",
       "Store 1   2.5   Kitty Litter  Kevyn\n",
       "Store 2   5.0          Spoon  Filip"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.DataFrame([{'Name': 'Chris', 'Item Purchased': 'Sponge', 'Cost': 22.50},\n",
    "                   {'Name': 'Kevyn', 'Item Purchased': 'Kitty Litter', 'Cost': 2.50},\n",
    "                   {'Name': 'Filip', 'Item Purchased': 'Spoon', 'Cost': 5.00}],\n",
    "                  index=['Store 1', 'Store 1', 'Store 2'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cost</th>\n",
       "      <th>Item Purchased</th>\n",
       "      <th>Name</th>\n",
       "      <th>Delivered</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Store 1</th>\n",
       "      <td>22.5</td>\n",
       "      <td>Sponge</td>\n",
       "      <td>Chris</td>\n",
       "      <td>True</td>\n",
       "      <td>December 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Store 1</th>\n",
       "      <td>2.5</td>\n",
       "      <td>Kitty Litter</td>\n",
       "      <td>Kevyn</td>\n",
       "      <td>True</td>\n",
       "      <td>January 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Store 2</th>\n",
       "      <td>5.0</td>\n",
       "      <td>Spoon</td>\n",
       "      <td>Filip</td>\n",
       "      <td>True</td>\n",
       "      <td>mid-May</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Cost Item Purchased   Name Delivered        Date\n",
       "Store 1  22.5         Sponge  Chris      True  December 1\n",
       "Store 1   2.5   Kitty Litter  Kevyn      True   January 1\n",
       "Store 2   5.0          Spoon  Filip      True     mid-May"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Date'] = ['December 1', 'January 1', 'mid-May']\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cost</th>\n",
       "      <th>Item Purchased</th>\n",
       "      <th>Name</th>\n",
       "      <th>Delivered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Store 1</th>\n",
       "      <td>22.5</td>\n",
       "      <td>Sponge</td>\n",
       "      <td>Chris</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Store 1</th>\n",
       "      <td>2.5</td>\n",
       "      <td>Kitty Litter</td>\n",
       "      <td>Kevyn</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Store 2</th>\n",
       "      <td>5.0</td>\n",
       "      <td>Spoon</td>\n",
       "      <td>Filip</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Cost Item Purchased   Name Delivered\n",
       "Store 1  22.5         Sponge  Chris      True\n",
       "Store 1   2.5   Kitty Litter  Kevyn      True\n",
       "Store 2   5.0          Spoon  Filip      True"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Delivered'] = True\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cost</th>\n",
       "      <th>Item Purchased</th>\n",
       "      <th>Name</th>\n",
       "      <th>Delivered</th>\n",
       "      <th>Date</th>\n",
       "      <th>Feedback</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Store 1</th>\n",
       "      <td>22.5</td>\n",
       "      <td>Sponge</td>\n",
       "      <td>Chris</td>\n",
       "      <td>True</td>\n",
       "      <td>December 1</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Store 1</th>\n",
       "      <td>2.5</td>\n",
       "      <td>Kitty Litter</td>\n",
       "      <td>Kevyn</td>\n",
       "      <td>True</td>\n",
       "      <td>January 1</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Store 2</th>\n",
       "      <td>5.0</td>\n",
       "      <td>Spoon</td>\n",
       "      <td>Filip</td>\n",
       "      <td>True</td>\n",
       "      <td>mid-May</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Cost Item Purchased   Name Delivered        Date  Feedback\n",
       "Store 1  22.5         Sponge  Chris      True  December 1  Positive\n",
       "Store 1   2.5   Kitty Litter  Kevyn      True   January 1      None\n",
       "Store 2   5.0          Spoon  Filip      True     mid-May  Negative"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Feedback'] = ['Positive', None, 'Negative']\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Cost</th>\n",
       "      <th>Item Purchased</th>\n",
       "      <th>Name</th>\n",
       "      <th>Delivered</th>\n",
       "      <th>Date</th>\n",
       "      <th>Feedback</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Store 1</td>\n",
       "      <td>22.5</td>\n",
       "      <td>Sponge</td>\n",
       "      <td>Chris</td>\n",
       "      <td>True</td>\n",
       "      <td>December 1</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Store 1</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Kitty Litter</td>\n",
       "      <td>Kevyn</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Store 2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Spoon</td>\n",
       "      <td>Filip</td>\n",
       "      <td>True</td>\n",
       "      <td>mid-May</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     index  Cost Item Purchased   Name Delivered        Date  Feedback\n",
       "0  Store 1  22.5         Sponge  Chris      True  December 1  Positive\n",
       "1  Store 1   2.5   Kitty Litter  Kevyn      True         NaN      None\n",
       "2  Store 2   5.0          Spoon  Filip      True     mid-May  Negative"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adf = df.reset_index()\n",
    "adf['Date'] = pd.Series({0: 'December 1', 2: 'mid-May'})\n",
    "adf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                 Role\n",
      "Name                 \n",
      "Kelly  Director of HR\n",
      "Sally  Course liasion\n",
      "James          Grader\n",
      "\n",
      "            School\n",
      "Name              \n",
      "James     Business\n",
      "Mike           Law\n",
      "Sally  Engineering\n"
     ]
    }
   ],
   "source": [
    "staff_df = pd.DataFrame([{'Name': 'Kelly', 'Role': 'Director of HR'},\n",
    "                         {'Name': 'Sally', 'Role': 'Course liasion'},\n",
    "                         {'Name': 'James', 'Role': 'Grader'}])\n",
    "staff_df = staff_df.set_index('Name')\n",
    "student_df = pd.DataFrame([{'Name': 'James', 'School': 'Business'},\n",
    "                           {'Name': 'Mike', 'School': 'Law'},\n",
    "                           {'Name': 'Sally', 'School': 'Engineering'}])\n",
    "student_df = student_df.set_index('Name')\n",
    "print(staff_df.head())\n",
    "print()\n",
    "print(student_df.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Role</th>\n",
       "      <th>School</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>James</th>\n",
       "      <td>Grader</td>\n",
       "      <td>Business</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kelly</th>\n",
       "      <td>Director of HR</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mike</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Law</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sally</th>\n",
       "      <td>Course liasion</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Role       School\n",
       "Name                              \n",
       "James          Grader     Business\n",
       "Kelly  Director of HR          NaN\n",
       "Mike              NaN          Law\n",
       "Sally  Course liasion  Engineering"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.merge(staff_df, student_df, how='outer', left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Role</th>\n",
       "      <th>School</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>James</th>\n",
       "      <td>Grader</td>\n",
       "      <td>Business</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sally</th>\n",
       "      <td>Course liasion</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Role       School\n",
       "Name                              \n",
       "James          Grader     Business\n",
       "Sally  Course liasion  Engineering"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.merge(staff_df, student_df, how='inner', left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Role</th>\n",
       "      <th>School</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Kelly</th>\n",
       "      <td>Director of HR</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sally</th>\n",
       "      <td>Course liasion</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>James</th>\n",
       "      <td>Grader</td>\n",
       "      <td>Business</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Role       School\n",
       "Name                              \n",
       "Kelly  Director of HR          NaN\n",
       "Sally  Course liasion  Engineering\n",
       "James          Grader     Business"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.merge(staff_df, student_df, how='left', left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Role</th>\n",
       "      <th>School</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>James</th>\n",
       "      <td>Grader</td>\n",
       "      <td>Business</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mike</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Law</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sally</th>\n",
       "      <td>Course liasion</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Role       School\n",
       "Name                              \n",
       "James          Grader     Business\n",
       "Mike              NaN          Law\n",
       "Sally  Course liasion  Engineering"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.merge(staff_df, student_df, how='right', left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Role</th>\n",
       "      <th>School</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Kelly</td>\n",
       "      <td>Director of HR</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sally</td>\n",
       "      <td>Course liasion</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>James</td>\n",
       "      <td>Grader</td>\n",
       "      <td>Business</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Name            Role       School\n",
       "0  Kelly  Director of HR          NaN\n",
       "1  Sally  Course liasion  Engineering\n",
       "2  James          Grader     Business"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "staff_df = staff_df.reset_index()\n",
    "student_df = student_df.reset_index()\n",
    "pd.merge(staff_df, student_df, how='left', left_on='Name', right_on='Name')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Location_x</th>\n",
       "      <th>Name</th>\n",
       "      <th>Role</th>\n",
       "      <th>Location_y</th>\n",
       "      <th>School</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>State Street</td>\n",
       "      <td>Kelly</td>\n",
       "      <td>Director of HR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Washington Avenue</td>\n",
       "      <td>Sally</td>\n",
       "      <td>Course liasion</td>\n",
       "      <td>512 Wilson Crescent</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Washington Avenue</td>\n",
       "      <td>James</td>\n",
       "      <td>Grader</td>\n",
       "      <td>1024 Billiard Avenue</td>\n",
       "      <td>Business</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Location_x   Name            Role            Location_y       School\n",
       "0       State Street  Kelly  Director of HR                   NaN          NaN\n",
       "1  Washington Avenue  Sally  Course liasion   512 Wilson Crescent  Engineering\n",
       "2  Washington Avenue  James          Grader  1024 Billiard Avenue     Business"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "staff_df = pd.DataFrame([{'Name': 'Kelly', 'Role': 'Director of HR', 'Location': 'State Street'},\n",
    "                         {'Name': 'Sally', 'Role': 'Course liasion', 'Location': 'Washington Avenue'},\n",
    "                         {'Name': 'James', 'Role': 'Grader', 'Location': 'Washington Avenue'}])\n",
    "student_df = pd.DataFrame([{'Name': 'James', 'School': 'Business', 'Location': '1024 Billiard Avenue'},\n",
    "                           {'Name': 'Mike', 'School': 'Law', 'Location': 'Fraternity House #22'},\n",
    "                           {'Name': 'Sally', 'School': 'Engineering', 'Location': '512 Wilson Crescent'}])\n",
    "pd.merge(staff_df, student_df, how='left', left_on='Name', right_on='Name')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Role</th>\n",
       "      <th>School</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sally</td>\n",
       "      <td>Brooks</td>\n",
       "      <td>Course liasion</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  First Name Last Name            Role       School\n",
       "0      Sally    Brooks  Course liasion  Engineering"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "staff_df = pd.DataFrame([{'First Name': 'Kelly', 'Last Name': 'Desjardins', 'Role': 'Director of HR'},\n",
    "                         {'First Name': 'Sally', 'Last Name': 'Brooks', 'Role': 'Course liasion'},\n",
    "                         {'First Name': 'James', 'Last Name': 'Wilde', 'Role': 'Grader'}])\n",
    "student_df = pd.DataFrame([{'First Name': 'James', 'Last Name': 'Hammond', 'School': 'Business'},\n",
    "                           {'First Name': 'Mike', 'Last Name': 'Smith', 'School': 'Law'},\n",
    "                           {'First Name': 'Sally', 'Last Name': 'Brooks', 'School': 'Engineering'}])\n",
    "staff_df\n",
    "student_df\n",
    "pd.merge(staff_df, student_df, how='inner', left_on=['First Name','Last Name'], right_on=['First Name','Last Name'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Idiomatic Pandas: Making Code Pandorable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SUMLEV</th>\n",
       "      <th>REGION</th>\n",
       "      <th>DIVISION</th>\n",
       "      <th>STATE</th>\n",
       "      <th>COUNTY</th>\n",
       "      <th>STNAME</th>\n",
       "      <th>CTYNAME</th>\n",
       "      <th>CENSUS2010POP</th>\n",
       "      <th>ESTIMATESBASE2010</th>\n",
       "      <th>POPESTIMATE2010</th>\n",
       "      <th>...</th>\n",
       "      <th>RDOMESTICMIG2011</th>\n",
       "      <th>RDOMESTICMIG2012</th>\n",
       "      <th>RDOMESTICMIG2013</th>\n",
       "      <th>RDOMESTICMIG2014</th>\n",
       "      <th>RDOMESTICMIG2015</th>\n",
       "      <th>RNETMIG2011</th>\n",
       "      <th>RNETMIG2012</th>\n",
       "      <th>RNETMIG2013</th>\n",
       "      <th>RNETMIG2014</th>\n",
       "      <th>RNETMIG2015</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4779736</td>\n",
       "      <td>4780127</td>\n",
       "      <td>4785161</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002295</td>\n",
       "      <td>-0.193196</td>\n",
       "      <td>0.381066</td>\n",
       "      <td>0.582002</td>\n",
       "      <td>-0.467369</td>\n",
       "      <td>1.030015</td>\n",
       "      <td>0.826644</td>\n",
       "      <td>1.383282</td>\n",
       "      <td>1.724718</td>\n",
       "      <td>0.712594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Autauga County</td>\n",
       "      <td>54571</td>\n",
       "      <td>54571</td>\n",
       "      <td>54660</td>\n",
       "      <td>...</td>\n",
       "      <td>7.242091</td>\n",
       "      <td>-2.915927</td>\n",
       "      <td>-3.012349</td>\n",
       "      <td>2.265971</td>\n",
       "      <td>-2.530799</td>\n",
       "      <td>7.606016</td>\n",
       "      <td>-2.626146</td>\n",
       "      <td>-2.722002</td>\n",
       "      <td>2.592270</td>\n",
       "      <td>-2.187333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Baldwin County</td>\n",
       "      <td>182265</td>\n",
       "      <td>182265</td>\n",
       "      <td>183193</td>\n",
       "      <td>...</td>\n",
       "      <td>14.832960</td>\n",
       "      <td>17.647293</td>\n",
       "      <td>21.845705</td>\n",
       "      <td>19.243287</td>\n",
       "      <td>17.197872</td>\n",
       "      <td>15.844176</td>\n",
       "      <td>18.559627</td>\n",
       "      <td>22.727626</td>\n",
       "      <td>20.317142</td>\n",
       "      <td>18.293499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Barbour County</td>\n",
       "      <td>27457</td>\n",
       "      <td>27457</td>\n",
       "      <td>27341</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.728132</td>\n",
       "      <td>-2.500690</td>\n",
       "      <td>-7.056824</td>\n",
       "      <td>-3.904217</td>\n",
       "      <td>-10.543299</td>\n",
       "      <td>-4.874741</td>\n",
       "      <td>-2.758113</td>\n",
       "      <td>-7.167664</td>\n",
       "      <td>-3.978583</td>\n",
       "      <td>-10.543299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Bibb County</td>\n",
       "      <td>22915</td>\n",
       "      <td>22919</td>\n",
       "      <td>22861</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.527043</td>\n",
       "      <td>-5.068871</td>\n",
       "      <td>-6.201001</td>\n",
       "      <td>-0.177537</td>\n",
       "      <td>0.177258</td>\n",
       "      <td>-5.088389</td>\n",
       "      <td>-4.363636</td>\n",
       "      <td>-5.403729</td>\n",
       "      <td>0.754533</td>\n",
       "      <td>1.107861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Blount County</td>\n",
       "      <td>57322</td>\n",
       "      <td>57322</td>\n",
       "      <td>57373</td>\n",
       "      <td>...</td>\n",
       "      <td>1.807375</td>\n",
       "      <td>-1.177622</td>\n",
       "      <td>-1.748766</td>\n",
       "      <td>-2.062535</td>\n",
       "      <td>-1.369970</td>\n",
       "      <td>1.859511</td>\n",
       "      <td>-0.848580</td>\n",
       "      <td>-1.402476</td>\n",
       "      <td>-1.577232</td>\n",
       "      <td>-0.884411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Bullock County</td>\n",
       "      <td>10914</td>\n",
       "      <td>10915</td>\n",
       "      <td>10887</td>\n",
       "      <td>...</td>\n",
       "      <td>-30.953709</td>\n",
       "      <td>-5.180127</td>\n",
       "      <td>-1.130263</td>\n",
       "      <td>14.354290</td>\n",
       "      <td>-16.167247</td>\n",
       "      <td>-29.001673</td>\n",
       "      <td>-2.825524</td>\n",
       "      <td>1.507017</td>\n",
       "      <td>17.243790</td>\n",
       "      <td>-13.193961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Butler County</td>\n",
       "      <td>20947</td>\n",
       "      <td>20946</td>\n",
       "      <td>20944</td>\n",
       "      <td>...</td>\n",
       "      <td>-14.032727</td>\n",
       "      <td>-11.684234</td>\n",
       "      <td>-5.655413</td>\n",
       "      <td>1.085428</td>\n",
       "      <td>-6.529805</td>\n",
       "      <td>-13.936612</td>\n",
       "      <td>-11.586865</td>\n",
       "      <td>-5.557058</td>\n",
       "      <td>1.184103</td>\n",
       "      <td>-6.430868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Calhoun County</td>\n",
       "      <td>118572</td>\n",
       "      <td>118586</td>\n",
       "      <td>118437</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.155670</td>\n",
       "      <td>-4.611706</td>\n",
       "      <td>-5.524649</td>\n",
       "      <td>-4.463211</td>\n",
       "      <td>-3.376322</td>\n",
       "      <td>-5.791579</td>\n",
       "      <td>-4.092677</td>\n",
       "      <td>-5.062836</td>\n",
       "      <td>-3.912834</td>\n",
       "      <td>-2.806406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Chambers County</td>\n",
       "      <td>34215</td>\n",
       "      <td>34170</td>\n",
       "      <td>34098</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.731639</td>\n",
       "      <td>3.849092</td>\n",
       "      <td>2.872721</td>\n",
       "      <td>-2.287222</td>\n",
       "      <td>1.349468</td>\n",
       "      <td>-1.821092</td>\n",
       "      <td>4.701181</td>\n",
       "      <td>3.781439</td>\n",
       "      <td>-1.290228</td>\n",
       "      <td>2.346901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Cherokee County</td>\n",
       "      <td>25989</td>\n",
       "      <td>25986</td>\n",
       "      <td>25976</td>\n",
       "      <td>...</td>\n",
       "      <td>6.339327</td>\n",
       "      <td>1.113180</td>\n",
       "      <td>5.488706</td>\n",
       "      <td>-0.076806</td>\n",
       "      <td>-3.239866</td>\n",
       "      <td>6.416167</td>\n",
       "      <td>1.420264</td>\n",
       "      <td>5.757384</td>\n",
       "      <td>0.230419</td>\n",
       "      <td>-2.931307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Chilton County</td>\n",
       "      <td>43643</td>\n",
       "      <td>43631</td>\n",
       "      <td>43665</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.372935</td>\n",
       "      <td>-2.653369</td>\n",
       "      <td>0.480044</td>\n",
       "      <td>0.456017</td>\n",
       "      <td>-2.253483</td>\n",
       "      <td>-0.823761</td>\n",
       "      <td>-2.447504</td>\n",
       "      <td>0.868651</td>\n",
       "      <td>0.957636</td>\n",
       "      <td>-1.752709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Choctaw County</td>\n",
       "      <td>13859</td>\n",
       "      <td>13858</td>\n",
       "      <td>13841</td>\n",
       "      <td>...</td>\n",
       "      <td>-15.455274</td>\n",
       "      <td>-0.737028</td>\n",
       "      <td>-8.766391</td>\n",
       "      <td>-1.274984</td>\n",
       "      <td>-5.291205</td>\n",
       "      <td>-15.528177</td>\n",
       "      <td>-0.737028</td>\n",
       "      <td>-8.766391</td>\n",
       "      <td>-1.274984</td>\n",
       "      <td>-5.291205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Clarke County</td>\n",
       "      <td>25833</td>\n",
       "      <td>25840</td>\n",
       "      <td>25767</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.194363</td>\n",
       "      <td>-17.667705</td>\n",
       "      <td>-0.318345</td>\n",
       "      <td>-8.686428</td>\n",
       "      <td>-5.613667</td>\n",
       "      <td>-6.077488</td>\n",
       "      <td>-17.509958</td>\n",
       "      <td>-0.159172</td>\n",
       "      <td>-8.486280</td>\n",
       "      <td>-5.411736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Clay County</td>\n",
       "      <td>13932</td>\n",
       "      <td>13932</td>\n",
       "      <td>13880</td>\n",
       "      <td>...</td>\n",
       "      <td>-10.744102</td>\n",
       "      <td>-13.345130</td>\n",
       "      <td>4.902871</td>\n",
       "      <td>5.702648</td>\n",
       "      <td>3.912450</td>\n",
       "      <td>-10.816697</td>\n",
       "      <td>-13.345130</td>\n",
       "      <td>4.977157</td>\n",
       "      <td>5.776708</td>\n",
       "      <td>3.986270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Cleburne County</td>\n",
       "      <td>14972</td>\n",
       "      <td>14972</td>\n",
       "      <td>14973</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.673524</td>\n",
       "      <td>-5.151880</td>\n",
       "      <td>7.345821</td>\n",
       "      <td>3.654485</td>\n",
       "      <td>-3.123961</td>\n",
       "      <td>-3.673524</td>\n",
       "      <td>-5.151880</td>\n",
       "      <td>7.345821</td>\n",
       "      <td>3.654485</td>\n",
       "      <td>-3.123961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Coffee County</td>\n",
       "      <td>49948</td>\n",
       "      <td>49948</td>\n",
       "      <td>50177</td>\n",
       "      <td>...</td>\n",
       "      <td>0.377640</td>\n",
       "      <td>7.675579</td>\n",
       "      <td>-13.146535</td>\n",
       "      <td>-3.602859</td>\n",
       "      <td>2.214774</td>\n",
       "      <td>2.166460</td>\n",
       "      <td>11.513368</td>\n",
       "      <td>-10.438741</td>\n",
       "      <td>-0.767822</td>\n",
       "      <td>5.350738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>33</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Colbert County</td>\n",
       "      <td>54428</td>\n",
       "      <td>54428</td>\n",
       "      <td>54514</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.073423</td>\n",
       "      <td>1.065051</td>\n",
       "      <td>1.762390</td>\n",
       "      <td>1.835688</td>\n",
       "      <td>-0.110260</td>\n",
       "      <td>0.513964</td>\n",
       "      <td>1.469035</td>\n",
       "      <td>2.276420</td>\n",
       "      <td>2.533249</td>\n",
       "      <td>0.588052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>35</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Conecuh County</td>\n",
       "      <td>13228</td>\n",
       "      <td>13228</td>\n",
       "      <td>13208</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.861559</td>\n",
       "      <td>-7.504690</td>\n",
       "      <td>-6.107224</td>\n",
       "      <td>-14.645416</td>\n",
       "      <td>2.684140</td>\n",
       "      <td>-4.861559</td>\n",
       "      <td>-7.504690</td>\n",
       "      <td>-6.107224</td>\n",
       "      <td>-14.645416</td>\n",
       "      <td>2.684140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Coosa County</td>\n",
       "      <td>11539</td>\n",
       "      <td>11758</td>\n",
       "      <td>11758</td>\n",
       "      <td>...</td>\n",
       "      <td>-33.930581</td>\n",
       "      <td>-10.291443</td>\n",
       "      <td>-4.313831</td>\n",
       "      <td>-22.958017</td>\n",
       "      <td>-5.387581</td>\n",
       "      <td>-34.017138</td>\n",
       "      <td>-10.380162</td>\n",
       "      <td>-4.403703</td>\n",
       "      <td>-23.049483</td>\n",
       "      <td>-5.387581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>39</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Covington County</td>\n",
       "      <td>37765</td>\n",
       "      <td>37765</td>\n",
       "      <td>37796</td>\n",
       "      <td>...</td>\n",
       "      <td>6.696899</td>\n",
       "      <td>-4.612668</td>\n",
       "      <td>0.740271</td>\n",
       "      <td>3.697932</td>\n",
       "      <td>-0.316945</td>\n",
       "      <td>6.881460</td>\n",
       "      <td>-4.559952</td>\n",
       "      <td>0.793147</td>\n",
       "      <td>3.750759</td>\n",
       "      <td>-0.264121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>41</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Crenshaw County</td>\n",
       "      <td>13906</td>\n",
       "      <td>13906</td>\n",
       "      <td>13853</td>\n",
       "      <td>...</td>\n",
       "      <td>1.729792</td>\n",
       "      <td>3.950156</td>\n",
       "      <td>-1.864936</td>\n",
       "      <td>3.084648</td>\n",
       "      <td>3.439504</td>\n",
       "      <td>2.666763</td>\n",
       "      <td>5.099293</td>\n",
       "      <td>-0.502098</td>\n",
       "      <td>4.734577</td>\n",
       "      <td>5.087600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>43</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Cullman County</td>\n",
       "      <td>80406</td>\n",
       "      <td>80410</td>\n",
       "      <td>80473</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.404233</td>\n",
       "      <td>-1.019628</td>\n",
       "      <td>4.071247</td>\n",
       "      <td>5.087142</td>\n",
       "      <td>7.915406</td>\n",
       "      <td>-1.031427</td>\n",
       "      <td>-0.634159</td>\n",
       "      <td>4.542916</td>\n",
       "      <td>5.593387</td>\n",
       "      <td>8.417777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Dale County</td>\n",
       "      <td>50251</td>\n",
       "      <td>50251</td>\n",
       "      <td>50358</td>\n",
       "      <td>...</td>\n",
       "      <td>-10.749798</td>\n",
       "      <td>-5.277150</td>\n",
       "      <td>-15.236079</td>\n",
       "      <td>-11.979785</td>\n",
       "      <td>-5.107706</td>\n",
       "      <td>-9.575283</td>\n",
       "      <td>-0.776637</td>\n",
       "      <td>-12.640155</td>\n",
       "      <td>-9.503292</td>\n",
       "      <td>-1.998668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>47</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Dallas County</td>\n",
       "      <td>43820</td>\n",
       "      <td>43820</td>\n",
       "      <td>43803</td>\n",
       "      <td>...</td>\n",
       "      <td>-15.635599</td>\n",
       "      <td>-11.308243</td>\n",
       "      <td>-16.745678</td>\n",
       "      <td>-9.344789</td>\n",
       "      <td>-14.687232</td>\n",
       "      <td>-15.727573</td>\n",
       "      <td>-11.378047</td>\n",
       "      <td>-16.792849</td>\n",
       "      <td>-9.368689</td>\n",
       "      <td>-14.711389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>49</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>DeKalb County</td>\n",
       "      <td>71109</td>\n",
       "      <td>71115</td>\n",
       "      <td>71142</td>\n",
       "      <td>...</td>\n",
       "      <td>0.294677</td>\n",
       "      <td>-9.302391</td>\n",
       "      <td>-1.748807</td>\n",
       "      <td>0.267830</td>\n",
       "      <td>0.028141</td>\n",
       "      <td>1.375159</td>\n",
       "      <td>-8.656001</td>\n",
       "      <td>-1.029539</td>\n",
       "      <td>1.198187</td>\n",
       "      <td>0.956790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>51</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Elmore County</td>\n",
       "      <td>79303</td>\n",
       "      <td>79296</td>\n",
       "      <td>79465</td>\n",
       "      <td>...</td>\n",
       "      <td>3.235576</td>\n",
       "      <td>0.822717</td>\n",
       "      <td>1.760531</td>\n",
       "      <td>-1.507057</td>\n",
       "      <td>2.067820</td>\n",
       "      <td>3.674511</td>\n",
       "      <td>1.558176</td>\n",
       "      <td>2.306047</td>\n",
       "      <td>-0.951175</td>\n",
       "      <td>2.757093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>53</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Escambia County</td>\n",
       "      <td>38319</td>\n",
       "      <td>38319</td>\n",
       "      <td>38309</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.449988</td>\n",
       "      <td>-3.855889</td>\n",
       "      <td>-4.822706</td>\n",
       "      <td>-1.189831</td>\n",
       "      <td>1.190902</td>\n",
       "      <td>-3.397716</td>\n",
       "      <td>-3.803428</td>\n",
       "      <td>-4.769999</td>\n",
       "      <td>-1.136950</td>\n",
       "      <td>1.243830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>55</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Etowah County</td>\n",
       "      <td>104430</td>\n",
       "      <td>104427</td>\n",
       "      <td>104442</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.015919</td>\n",
       "      <td>2.062637</td>\n",
       "      <td>-1.931884</td>\n",
       "      <td>-1.726932</td>\n",
       "      <td>-2.082234</td>\n",
       "      <td>-0.632554</td>\n",
       "      <td>2.446383</td>\n",
       "      <td>-1.518596</td>\n",
       "      <td>-1.234901</td>\n",
       "      <td>-1.588308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>57</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Fayette County</td>\n",
       "      <td>17241</td>\n",
       "      <td>17241</td>\n",
       "      <td>17231</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.015601</td>\n",
       "      <td>-0.646640</td>\n",
       "      <td>-3.725937</td>\n",
       "      <td>0.296745</td>\n",
       "      <td>-2.797536</td>\n",
       "      <td>-5.132243</td>\n",
       "      <td>-0.705426</td>\n",
       "      <td>-3.785079</td>\n",
       "      <td>0.237396</td>\n",
       "      <td>-2.857058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3163</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>131</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Washington County</td>\n",
       "      <td>131887</td>\n",
       "      <td>131885</td>\n",
       "      <td>131967</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.794876</td>\n",
       "      <td>0.785279</td>\n",
       "      <td>-2.215465</td>\n",
       "      <td>1.601149</td>\n",
       "      <td>-0.434498</td>\n",
       "      <td>-0.431504</td>\n",
       "      <td>1.162817</td>\n",
       "      <td>-1.763330</td>\n",
       "      <td>2.104796</td>\n",
       "      <td>0.059931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3164</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>133</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Waukesha County</td>\n",
       "      <td>389891</td>\n",
       "      <td>389938</td>\n",
       "      <td>390076</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.765799</td>\n",
       "      <td>2.128860</td>\n",
       "      <td>0.038132</td>\n",
       "      <td>0.760109</td>\n",
       "      <td>-0.719858</td>\n",
       "      <td>0.102448</td>\n",
       "      <td>3.180527</td>\n",
       "      <td>1.189727</td>\n",
       "      <td>2.077633</td>\n",
       "      <td>0.593567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3165</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>135</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Waupaca County</td>\n",
       "      <td>52410</td>\n",
       "      <td>52410</td>\n",
       "      <td>52422</td>\n",
       "      <td>...</td>\n",
       "      <td>3.111756</td>\n",
       "      <td>-2.241873</td>\n",
       "      <td>6.292687</td>\n",
       "      <td>-0.441031</td>\n",
       "      <td>-0.480617</td>\n",
       "      <td>3.359933</td>\n",
       "      <td>-2.011937</td>\n",
       "      <td>6.561277</td>\n",
       "      <td>-0.134227</td>\n",
       "      <td>-0.173022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3166</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>137</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Waushara County</td>\n",
       "      <td>24496</td>\n",
       "      <td>24496</td>\n",
       "      <td>24506</td>\n",
       "      <td>...</td>\n",
       "      <td>4.930022</td>\n",
       "      <td>-2.404973</td>\n",
       "      <td>-4.097017</td>\n",
       "      <td>-4.906711</td>\n",
       "      <td>-4.397793</td>\n",
       "      <td>5.174486</td>\n",
       "      <td>-2.160399</td>\n",
       "      <td>-3.810226</td>\n",
       "      <td>-4.535615</td>\n",
       "      <td>-4.024395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3167</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>139</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Winnebago County</td>\n",
       "      <td>166994</td>\n",
       "      <td>166994</td>\n",
       "      <td>167059</td>\n",
       "      <td>...</td>\n",
       "      <td>0.316712</td>\n",
       "      <td>2.889873</td>\n",
       "      <td>0.833819</td>\n",
       "      <td>-2.406192</td>\n",
       "      <td>-4.557985</td>\n",
       "      <td>0.842573</td>\n",
       "      <td>3.502335</td>\n",
       "      <td>1.531624</td>\n",
       "      <td>-1.545153</td>\n",
       "      <td>-3.685304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3168</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>141</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Wood County</td>\n",
       "      <td>74749</td>\n",
       "      <td>74749</td>\n",
       "      <td>74807</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.081523</td>\n",
       "      <td>-5.019090</td>\n",
       "      <td>-6.901200</td>\n",
       "      <td>-5.596471</td>\n",
       "      <td>-3.958322</td>\n",
       "      <td>-3.733590</td>\n",
       "      <td>-4.562809</td>\n",
       "      <td>-6.442917</td>\n",
       "      <td>-5.040889</td>\n",
       "      <td>-3.414223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3169</th>\n",
       "      <td>40</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>563626</td>\n",
       "      <td>563767</td>\n",
       "      <td>564516</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.381530</td>\n",
       "      <td>9.636214</td>\n",
       "      <td>4.487115</td>\n",
       "      <td>-4.788275</td>\n",
       "      <td>-3.221091</td>\n",
       "      <td>0.289680</td>\n",
       "      <td>10.694870</td>\n",
       "      <td>5.440390</td>\n",
       "      <td>-3.727831</td>\n",
       "      <td>-2.091573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3170</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Albany County</td>\n",
       "      <td>36299</td>\n",
       "      <td>36299</td>\n",
       "      <td>36428</td>\n",
       "      <td>...</td>\n",
       "      <td>3.708956</td>\n",
       "      <td>2.637812</td>\n",
       "      <td>-3.544634</td>\n",
       "      <td>-3.334877</td>\n",
       "      <td>-9.911169</td>\n",
       "      <td>6.736119</td>\n",
       "      <td>6.433032</td>\n",
       "      <td>0.719587</td>\n",
       "      <td>1.429233</td>\n",
       "      <td>-5.166460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3171</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>3</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Big Horn County</td>\n",
       "      <td>11668</td>\n",
       "      <td>11668</td>\n",
       "      <td>11672</td>\n",
       "      <td>...</td>\n",
       "      <td>4.868258</td>\n",
       "      <td>2.804930</td>\n",
       "      <td>16.815908</td>\n",
       "      <td>-8.026420</td>\n",
       "      <td>5.095861</td>\n",
       "      <td>4.868258</td>\n",
       "      <td>3.144921</td>\n",
       "      <td>17.236306</td>\n",
       "      <td>-7.608378</td>\n",
       "      <td>5.513554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3172</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>5</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Campbell County</td>\n",
       "      <td>46133</td>\n",
       "      <td>46133</td>\n",
       "      <td>46244</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.843479</td>\n",
       "      <td>15.601020</td>\n",
       "      <td>-5.895711</td>\n",
       "      <td>-8.550911</td>\n",
       "      <td>10.916963</td>\n",
       "      <td>-2.649606</td>\n",
       "      <td>15.558684</td>\n",
       "      <td>-5.916543</td>\n",
       "      <td>-8.509402</td>\n",
       "      <td>10.978525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3173</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>7</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Carbon County</td>\n",
       "      <td>15885</td>\n",
       "      <td>15885</td>\n",
       "      <td>15837</td>\n",
       "      <td>...</td>\n",
       "      <td>-7.581980</td>\n",
       "      <td>-13.081441</td>\n",
       "      <td>3.178134</td>\n",
       "      <td>-2.970641</td>\n",
       "      <td>-23.300971</td>\n",
       "      <td>-7.392431</td>\n",
       "      <td>-12.636926</td>\n",
       "      <td>3.623073</td>\n",
       "      <td>-2.338590</td>\n",
       "      <td>-22.600668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3174</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>9</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Converse County</td>\n",
       "      <td>13833</td>\n",
       "      <td>13833</td>\n",
       "      <td>13826</td>\n",
       "      <td>...</td>\n",
       "      <td>-12.847499</td>\n",
       "      <td>15.493820</td>\n",
       "      <td>19.035533</td>\n",
       "      <td>-20.550587</td>\n",
       "      <td>-0.070403</td>\n",
       "      <td>-12.774915</td>\n",
       "      <td>16.502720</td>\n",
       "      <td>20.093063</td>\n",
       "      <td>-19.358233</td>\n",
       "      <td>1.126443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3175</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>11</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Crook County</td>\n",
       "      <td>7083</td>\n",
       "      <td>7083</td>\n",
       "      <td>7114</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.544618</td>\n",
       "      <td>-4.202564</td>\n",
       "      <td>1.397819</td>\n",
       "      <td>6.378258</td>\n",
       "      <td>18.629317</td>\n",
       "      <td>-0.982939</td>\n",
       "      <td>-3.642222</td>\n",
       "      <td>2.096729</td>\n",
       "      <td>7.071547</td>\n",
       "      <td>19.309219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3176</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>13</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Fremont County</td>\n",
       "      <td>40123</td>\n",
       "      <td>40123</td>\n",
       "      <td>40222</td>\n",
       "      <td>...</td>\n",
       "      <td>2.747083</td>\n",
       "      <td>7.782673</td>\n",
       "      <td>-4.990688</td>\n",
       "      <td>-12.331633</td>\n",
       "      <td>-13.673610</td>\n",
       "      <td>3.093562</td>\n",
       "      <td>8.027411</td>\n",
       "      <td>-4.747240</td>\n",
       "      <td>-12.013555</td>\n",
       "      <td>-13.352750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3177</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>15</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Goshen County</td>\n",
       "      <td>13249</td>\n",
       "      <td>13247</td>\n",
       "      <td>13408</td>\n",
       "      <td>...</td>\n",
       "      <td>14.293649</td>\n",
       "      <td>3.961413</td>\n",
       "      <td>-8.079028</td>\n",
       "      <td>-7.017803</td>\n",
       "      <td>-11.899450</td>\n",
       "      <td>14.886132</td>\n",
       "      <td>4.841727</td>\n",
       "      <td>-6.903896</td>\n",
       "      <td>-5.761986</td>\n",
       "      <td>-10.635133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3178</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>17</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Hot Springs County</td>\n",
       "      <td>4812</td>\n",
       "      <td>4812</td>\n",
       "      <td>4813</td>\n",
       "      <td>...</td>\n",
       "      <td>3.322604</td>\n",
       "      <td>6.208609</td>\n",
       "      <td>3.095336</td>\n",
       "      <td>-6.017222</td>\n",
       "      <td>-5.454164</td>\n",
       "      <td>5.191569</td>\n",
       "      <td>6.001656</td>\n",
       "      <td>2.888981</td>\n",
       "      <td>-6.224712</td>\n",
       "      <td>-5.663940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3179</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>19</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Johnson County</td>\n",
       "      <td>8569</td>\n",
       "      <td>8569</td>\n",
       "      <td>8581</td>\n",
       "      <td>...</td>\n",
       "      <td>4.995063</td>\n",
       "      <td>-4.058912</td>\n",
       "      <td>-0.812583</td>\n",
       "      <td>-10.715742</td>\n",
       "      <td>0.933652</td>\n",
       "      <td>5.227392</td>\n",
       "      <td>-4.058912</td>\n",
       "      <td>-0.812583</td>\n",
       "      <td>-10.715742</td>\n",
       "      <td>0.933652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3180</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>21</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Laramie County</td>\n",
       "      <td>91738</td>\n",
       "      <td>91881</td>\n",
       "      <td>92271</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.200428</td>\n",
       "      <td>15.547274</td>\n",
       "      <td>4.787847</td>\n",
       "      <td>-1.226133</td>\n",
       "      <td>0.278940</td>\n",
       "      <td>-0.973320</td>\n",
       "      <td>17.914554</td>\n",
       "      <td>6.003143</td>\n",
       "      <td>-0.207819</td>\n",
       "      <td>1.673640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3181</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>23</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Lincoln County</td>\n",
       "      <td>18106</td>\n",
       "      <td>18106</td>\n",
       "      <td>18091</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.802564</td>\n",
       "      <td>-11.566801</td>\n",
       "      <td>13.564556</td>\n",
       "      <td>6.125989</td>\n",
       "      <td>1.555544</td>\n",
       "      <td>-9.691801</td>\n",
       "      <td>-11.566801</td>\n",
       "      <td>13.619696</td>\n",
       "      <td>6.234414</td>\n",
       "      <td>1.662823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3182</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>25</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Natrona County</td>\n",
       "      <td>75450</td>\n",
       "      <td>75450</td>\n",
       "      <td>75472</td>\n",
       "      <td>...</td>\n",
       "      <td>7.189319</td>\n",
       "      <td>23.066162</td>\n",
       "      <td>24.322042</td>\n",
       "      <td>-0.958472</td>\n",
       "      <td>-0.061057</td>\n",
       "      <td>7.689674</td>\n",
       "      <td>23.749508</td>\n",
       "      <td>25.085233</td>\n",
       "      <td>-0.110593</td>\n",
       "      <td>0.793743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3183</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>27</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Niobrara County</td>\n",
       "      <td>2484</td>\n",
       "      <td>2484</td>\n",
       "      <td>2492</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.401849</td>\n",
       "      <td>0.806452</td>\n",
       "      <td>29.066295</td>\n",
       "      <td>-12.603387</td>\n",
       "      <td>7.492114</td>\n",
       "      <td>-0.401849</td>\n",
       "      <td>0.806452</td>\n",
       "      <td>29.066295</td>\n",
       "      <td>-12.603387</td>\n",
       "      <td>7.492114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3184</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>29</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Park County</td>\n",
       "      <td>28205</td>\n",
       "      <td>28205</td>\n",
       "      <td>28259</td>\n",
       "      <td>...</td>\n",
       "      <td>4.582951</td>\n",
       "      <td>8.057765</td>\n",
       "      <td>7.641997</td>\n",
       "      <td>-9.252437</td>\n",
       "      <td>-2.878980</td>\n",
       "      <td>6.486639</td>\n",
       "      <td>11.127389</td>\n",
       "      <td>10.877797</td>\n",
       "      <td>-5.585731</td>\n",
       "      <td>0.856839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3185</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>31</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Platte County</td>\n",
       "      <td>8667</td>\n",
       "      <td>8667</td>\n",
       "      <td>8678</td>\n",
       "      <td>...</td>\n",
       "      <td>4.373094</td>\n",
       "      <td>5.392073</td>\n",
       "      <td>2.634593</td>\n",
       "      <td>6.055759</td>\n",
       "      <td>4.662270</td>\n",
       "      <td>4.373094</td>\n",
       "      <td>4.933173</td>\n",
       "      <td>2.176403</td>\n",
       "      <td>5.598720</td>\n",
       "      <td>4.207414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3186</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>33</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Sheridan County</td>\n",
       "      <td>29116</td>\n",
       "      <td>29116</td>\n",
       "      <td>29146</td>\n",
       "      <td>...</td>\n",
       "      <td>0.958559</td>\n",
       "      <td>8.425487</td>\n",
       "      <td>4.546373</td>\n",
       "      <td>3.678069</td>\n",
       "      <td>-3.298406</td>\n",
       "      <td>2.122524</td>\n",
       "      <td>9.342778</td>\n",
       "      <td>5.523001</td>\n",
       "      <td>4.781489</td>\n",
       "      <td>-2.198937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3187</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>35</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Sublette County</td>\n",
       "      <td>10247</td>\n",
       "      <td>10247</td>\n",
       "      <td>10244</td>\n",
       "      <td>...</td>\n",
       "      <td>-23.741784</td>\n",
       "      <td>15.272374</td>\n",
       "      <td>-40.870074</td>\n",
       "      <td>-16.596273</td>\n",
       "      <td>-22.870900</td>\n",
       "      <td>-21.092907</td>\n",
       "      <td>16.828794</td>\n",
       "      <td>-39.211861</td>\n",
       "      <td>-14.409938</td>\n",
       "      <td>-20.664059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3188</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>37</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Sweetwater County</td>\n",
       "      <td>43806</td>\n",
       "      <td>43806</td>\n",
       "      <td>43593</td>\n",
       "      <td>...</td>\n",
       "      <td>1.072643</td>\n",
       "      <td>16.243199</td>\n",
       "      <td>-5.339774</td>\n",
       "      <td>-14.252889</td>\n",
       "      <td>-14.248864</td>\n",
       "      <td>1.255221</td>\n",
       "      <td>16.243199</td>\n",
       "      <td>-5.295460</td>\n",
       "      <td>-14.075283</td>\n",
       "      <td>-14.070195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3189</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>39</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Teton County</td>\n",
       "      <td>21294</td>\n",
       "      <td>21294</td>\n",
       "      <td>21297</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.589565</td>\n",
       "      <td>0.972695</td>\n",
       "      <td>19.525929</td>\n",
       "      <td>14.143021</td>\n",
       "      <td>-0.564849</td>\n",
       "      <td>0.654527</td>\n",
       "      <td>2.408578</td>\n",
       "      <td>21.160658</td>\n",
       "      <td>16.308671</td>\n",
       "      <td>1.520747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3190</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>41</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Uinta County</td>\n",
       "      <td>21118</td>\n",
       "      <td>21118</td>\n",
       "      <td>21102</td>\n",
       "      <td>...</td>\n",
       "      <td>-17.755986</td>\n",
       "      <td>-4.916350</td>\n",
       "      <td>-6.902954</td>\n",
       "      <td>-14.215862</td>\n",
       "      <td>-12.127022</td>\n",
       "      <td>-18.136812</td>\n",
       "      <td>-5.536861</td>\n",
       "      <td>-7.521840</td>\n",
       "      <td>-14.740608</td>\n",
       "      <td>-12.606351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3191</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>43</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Washakie County</td>\n",
       "      <td>8533</td>\n",
       "      <td>8533</td>\n",
       "      <td>8545</td>\n",
       "      <td>...</td>\n",
       "      <td>-11.637475</td>\n",
       "      <td>-0.827815</td>\n",
       "      <td>-2.013502</td>\n",
       "      <td>-17.781491</td>\n",
       "      <td>1.682288</td>\n",
       "      <td>-11.990126</td>\n",
       "      <td>-1.182592</td>\n",
       "      <td>-2.250385</td>\n",
       "      <td>-18.020168</td>\n",
       "      <td>1.441961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3192</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>45</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Weston County</td>\n",
       "      <td>7208</td>\n",
       "      <td>7208</td>\n",
       "      <td>7181</td>\n",
       "      <td>...</td>\n",
       "      <td>-11.752361</td>\n",
       "      <td>-8.040059</td>\n",
       "      <td>12.372583</td>\n",
       "      <td>1.533635</td>\n",
       "      <td>6.935294</td>\n",
       "      <td>-12.032179</td>\n",
       "      <td>-8.040059</td>\n",
       "      <td>12.372583</td>\n",
       "      <td>1.533635</td>\n",
       "      <td>6.935294</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3193 rows × 100 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      SUMLEV  REGION  DIVISION  STATE  COUNTY     STNAME             CTYNAME  \\\n",
       "0         40       3         6      1       0    Alabama             Alabama   \n",
       "1         50       3         6      1       1    Alabama      Autauga County   \n",
       "2         50       3         6      1       3    Alabama      Baldwin County   \n",
       "3         50       3         6      1       5    Alabama      Barbour County   \n",
       "4         50       3         6      1       7    Alabama         Bibb County   \n",
       "5         50       3         6      1       9    Alabama       Blount County   \n",
       "6         50       3         6      1      11    Alabama      Bullock County   \n",
       "7         50       3         6      1      13    Alabama       Butler County   \n",
       "8         50       3         6      1      15    Alabama      Calhoun County   \n",
       "9         50       3         6      1      17    Alabama     Chambers County   \n",
       "10        50       3         6      1      19    Alabama     Cherokee County   \n",
       "11        50       3         6      1      21    Alabama      Chilton County   \n",
       "12        50       3         6      1      23    Alabama      Choctaw County   \n",
       "13        50       3         6      1      25    Alabama       Clarke County   \n",
       "14        50       3         6      1      27    Alabama         Clay County   \n",
       "15        50       3         6      1      29    Alabama     Cleburne County   \n",
       "16        50       3         6      1      31    Alabama       Coffee County   \n",
       "17        50       3         6      1      33    Alabama      Colbert County   \n",
       "18        50       3         6      1      35    Alabama      Conecuh County   \n",
       "19        50       3         6      1      37    Alabama        Coosa County   \n",
       "20        50       3         6      1      39    Alabama    Covington County   \n",
       "21        50       3         6      1      41    Alabama     Crenshaw County   \n",
       "22        50       3         6      1      43    Alabama      Cullman County   \n",
       "23        50       3         6      1      45    Alabama         Dale County   \n",
       "24        50       3         6      1      47    Alabama       Dallas County   \n",
       "25        50       3         6      1      49    Alabama       DeKalb County   \n",
       "26        50       3         6      1      51    Alabama       Elmore County   \n",
       "27        50       3         6      1      53    Alabama     Escambia County   \n",
       "28        50       3         6      1      55    Alabama       Etowah County   \n",
       "29        50       3         6      1      57    Alabama      Fayette County   \n",
       "...      ...     ...       ...    ...     ...        ...                 ...   \n",
       "3163      50       2         3     55     131  Wisconsin   Washington County   \n",
       "3164      50       2         3     55     133  Wisconsin     Waukesha County   \n",
       "3165      50       2         3     55     135  Wisconsin      Waupaca County   \n",
       "3166      50       2         3     55     137  Wisconsin     Waushara County   \n",
       "3167      50       2         3     55     139  Wisconsin    Winnebago County   \n",
       "3168      50       2         3     55     141  Wisconsin         Wood County   \n",
       "3169      40       4         8     56       0    Wyoming             Wyoming   \n",
       "3170      50       4         8     56       1    Wyoming       Albany County   \n",
       "3171      50       4         8     56       3    Wyoming     Big Horn County   \n",
       "3172      50       4         8     56       5    Wyoming     Campbell County   \n",
       "3173      50       4         8     56       7    Wyoming       Carbon County   \n",
       "3174      50       4         8     56       9    Wyoming     Converse County   \n",
       "3175      50       4         8     56      11    Wyoming        Crook County   \n",
       "3176      50       4         8     56      13    Wyoming      Fremont County   \n",
       "3177      50       4         8     56      15    Wyoming       Goshen County   \n",
       "3178      50       4         8     56      17    Wyoming  Hot Springs County   \n",
       "3179      50       4         8     56      19    Wyoming      Johnson County   \n",
       "3180      50       4         8     56      21    Wyoming      Laramie County   \n",
       "3181      50       4         8     56      23    Wyoming      Lincoln County   \n",
       "3182      50       4         8     56      25    Wyoming      Natrona County   \n",
       "3183      50       4         8     56      27    Wyoming     Niobrara County   \n",
       "3184      50       4         8     56      29    Wyoming         Park County   \n",
       "3185      50       4         8     56      31    Wyoming       Platte County   \n",
       "3186      50       4         8     56      33    Wyoming     Sheridan County   \n",
       "3187      50       4         8     56      35    Wyoming     Sublette County   \n",
       "3188      50       4         8     56      37    Wyoming   Sweetwater County   \n",
       "3189      50       4         8     56      39    Wyoming        Teton County   \n",
       "3190      50       4         8     56      41    Wyoming        Uinta County   \n",
       "3191      50       4         8     56      43    Wyoming     Washakie County   \n",
       "3192      50       4         8     56      45    Wyoming       Weston County   \n",
       "\n",
       "      CENSUS2010POP  ESTIMATESBASE2010  POPESTIMATE2010     ...       \\\n",
       "0           4779736            4780127          4785161     ...        \n",
       "1             54571              54571            54660     ...        \n",
       "2            182265             182265           183193     ...        \n",
       "3             27457              27457            27341     ...        \n",
       "4             22915              22919            22861     ...        \n",
       "5             57322              57322            57373     ...        \n",
       "6             10914              10915            10887     ...        \n",
       "7             20947              20946            20944     ...        \n",
       "8            118572             118586           118437     ...        \n",
       "9             34215              34170            34098     ...        \n",
       "10            25989              25986            25976     ...        \n",
       "11            43643              43631            43665     ...        \n",
       "12            13859              13858            13841     ...        \n",
       "13            25833              25840            25767     ...        \n",
       "14            13932              13932            13880     ...        \n",
       "15            14972              14972            14973     ...        \n",
       "16            49948              49948            50177     ...        \n",
       "17            54428              54428            54514     ...        \n",
       "18            13228              13228            13208     ...        \n",
       "19            11539              11758            11758     ...        \n",
       "20            37765              37765            37796     ...        \n",
       "21            13906              13906            13853     ...        \n",
       "22            80406              80410            80473     ...        \n",
       "23            50251              50251            50358     ...        \n",
       "24            43820              43820            43803     ...        \n",
       "25            71109              71115            71142     ...        \n",
       "26            79303              79296            79465     ...        \n",
       "27            38319              38319            38309     ...        \n",
       "28           104430             104427           104442     ...        \n",
       "29            17241              17241            17231     ...        \n",
       "...             ...                ...              ...     ...        \n",
       "3163         131887             131885           131967     ...        \n",
       "3164         389891             389938           390076     ...        \n",
       "3165          52410              52410            52422     ...        \n",
       "3166          24496              24496            24506     ...        \n",
       "3167         166994             166994           167059     ...        \n",
       "3168          74749              74749            74807     ...        \n",
       "3169         563626             563767           564516     ...        \n",
       "3170          36299              36299            36428     ...        \n",
       "3171          11668              11668            11672     ...        \n",
       "3172          46133              46133            46244     ...        \n",
       "3173          15885              15885            15837     ...        \n",
       "3174          13833              13833            13826     ...        \n",
       "3175           7083               7083             7114     ...        \n",
       "3176          40123              40123            40222     ...        \n",
       "3177          13249              13247            13408     ...        \n",
       "3178           4812               4812             4813     ...        \n",
       "3179           8569               8569             8581     ...        \n",
       "3180          91738              91881            92271     ...        \n",
       "3181          18106              18106            18091     ...        \n",
       "3182          75450              75450            75472     ...        \n",
       "3183           2484               2484             2492     ...        \n",
       "3184          28205              28205            28259     ...        \n",
       "3185           8667               8667             8678     ...        \n",
       "3186          29116              29116            29146     ...        \n",
       "3187          10247              10247            10244     ...        \n",
       "3188          43806              43806            43593     ...        \n",
       "3189          21294              21294            21297     ...        \n",
       "3190          21118              21118            21102     ...        \n",
       "3191           8533               8533             8545     ...        \n",
       "3192           7208               7208             7181     ...        \n",
       "\n",
       "      RDOMESTICMIG2011  RDOMESTICMIG2012  RDOMESTICMIG2013  RDOMESTICMIG2014  \\\n",
       "0             0.002295         -0.193196          0.381066          0.582002   \n",
       "1             7.242091         -2.915927         -3.012349          2.265971   \n",
       "2            14.832960         17.647293         21.845705         19.243287   \n",
       "3            -4.728132         -2.500690         -7.056824         -3.904217   \n",
       "4            -5.527043         -5.068871         -6.201001         -0.177537   \n",
       "5             1.807375         -1.177622         -1.748766         -2.062535   \n",
       "6           -30.953709         -5.180127         -1.130263         14.354290   \n",
       "7           -14.032727        -11.684234         -5.655413          1.085428   \n",
       "8            -6.155670         -4.611706         -5.524649         -4.463211   \n",
       "9            -2.731639          3.849092          2.872721         -2.287222   \n",
       "10            6.339327          1.113180          5.488706         -0.076806   \n",
       "11           -1.372935         -2.653369          0.480044          0.456017   \n",
       "12          -15.455274         -0.737028         -8.766391         -1.274984   \n",
       "13           -6.194363        -17.667705         -0.318345         -8.686428   \n",
       "14          -10.744102        -13.345130          4.902871          5.702648   \n",
       "15           -3.673524         -5.151880          7.345821          3.654485   \n",
       "16            0.377640          7.675579        -13.146535         -3.602859   \n",
       "17           -0.073423          1.065051          1.762390          1.835688   \n",
       "18           -4.861559         -7.504690         -6.107224        -14.645416   \n",
       "19          -33.930581        -10.291443         -4.313831        -22.958017   \n",
       "20            6.696899         -4.612668          0.740271          3.697932   \n",
       "21            1.729792          3.950156         -1.864936          3.084648   \n",
       "22           -1.404233         -1.019628          4.071247          5.087142   \n",
       "23          -10.749798         -5.277150        -15.236079        -11.979785   \n",
       "24          -15.635599        -11.308243        -16.745678         -9.344789   \n",
       "25            0.294677         -9.302391         -1.748807          0.267830   \n",
       "26            3.235576          0.822717          1.760531         -1.507057   \n",
       "27           -3.449988         -3.855889         -4.822706         -1.189831   \n",
       "28           -1.015919          2.062637         -1.931884         -1.726932   \n",
       "29           -5.015601         -0.646640         -3.725937          0.296745   \n",
       "...                ...               ...               ...               ...   \n",
       "3163         -0.794876          0.785279         -2.215465          1.601149   \n",
       "3164         -0.765799          2.128860          0.038132          0.760109   \n",
       "3165          3.111756         -2.241873          6.292687         -0.441031   \n",
       "3166          4.930022         -2.404973         -4.097017         -4.906711   \n",
       "3167          0.316712          2.889873          0.833819         -2.406192   \n",
       "3168         -4.081523         -5.019090         -6.901200         -5.596471   \n",
       "3169         -0.381530          9.636214          4.487115         -4.788275   \n",
       "3170          3.708956          2.637812         -3.544634         -3.334877   \n",
       "3171          4.868258          2.804930         16.815908         -8.026420   \n",
       "3172         -2.843479         15.601020         -5.895711         -8.550911   \n",
       "3173         -7.581980        -13.081441          3.178134         -2.970641   \n",
       "3174        -12.847499         15.493820         19.035533        -20.550587   \n",
       "3175         -1.544618         -4.202564          1.397819          6.378258   \n",
       "3176          2.747083          7.782673         -4.990688        -12.331633   \n",
       "3177         14.293649          3.961413         -8.079028         -7.017803   \n",
       "3178          3.322604          6.208609          3.095336         -6.017222   \n",
       "3179          4.995063         -4.058912         -0.812583        -10.715742   \n",
       "3180         -1.200428         15.547274          4.787847         -1.226133   \n",
       "3181         -9.802564        -11.566801         13.564556          6.125989   \n",
       "3182          7.189319         23.066162         24.322042         -0.958472   \n",
       "3183         -0.401849          0.806452         29.066295        -12.603387   \n",
       "3184          4.582951          8.057765          7.641997         -9.252437   \n",
       "3185          4.373094          5.392073          2.634593          6.055759   \n",
       "3186          0.958559          8.425487          4.546373          3.678069   \n",
       "3187        -23.741784         15.272374        -40.870074        -16.596273   \n",
       "3188          1.072643         16.243199         -5.339774        -14.252889   \n",
       "3189         -1.589565          0.972695         19.525929         14.143021   \n",
       "3190        -17.755986         -4.916350         -6.902954        -14.215862   \n",
       "3191        -11.637475         -0.827815         -2.013502        -17.781491   \n",
       "3192        -11.752361         -8.040059         12.372583          1.533635   \n",
       "\n",
       "      RDOMESTICMIG2015  RNETMIG2011  RNETMIG2012  RNETMIG2013  RNETMIG2014  \\\n",
       "0            -0.467369     1.030015     0.826644     1.383282     1.724718   \n",
       "1            -2.530799     7.606016    -2.626146    -2.722002     2.592270   \n",
       "2            17.197872    15.844176    18.559627    22.727626    20.317142   \n",
       "3           -10.543299    -4.874741    -2.758113    -7.167664    -3.978583   \n",
       "4             0.177258    -5.088389    -4.363636    -5.403729     0.754533   \n",
       "5            -1.369970     1.859511    -0.848580    -1.402476    -1.577232   \n",
       "6           -16.167247   -29.001673    -2.825524     1.507017    17.243790   \n",
       "7            -6.529805   -13.936612   -11.586865    -5.557058     1.184103   \n",
       "8            -3.376322    -5.791579    -4.092677    -5.062836    -3.912834   \n",
       "9             1.349468    -1.821092     4.701181     3.781439    -1.290228   \n",
       "10           -3.239866     6.416167     1.420264     5.757384     0.230419   \n",
       "11           -2.253483    -0.823761    -2.447504     0.868651     0.957636   \n",
       "12           -5.291205   -15.528177    -0.737028    -8.766391    -1.274984   \n",
       "13           -5.613667    -6.077488   -17.509958    -0.159172    -8.486280   \n",
       "14            3.912450   -10.816697   -13.345130     4.977157     5.776708   \n",
       "15           -3.123961    -3.673524    -5.151880     7.345821     3.654485   \n",
       "16            2.214774     2.166460    11.513368   -10.438741    -0.767822   \n",
       "17           -0.110260     0.513964     1.469035     2.276420     2.533249   \n",
       "18            2.684140    -4.861559    -7.504690    -6.107224   -14.645416   \n",
       "19           -5.387581   -34.017138   -10.380162    -4.403703   -23.049483   \n",
       "20           -0.316945     6.881460    -4.559952     0.793147     3.750759   \n",
       "21            3.439504     2.666763     5.099293    -0.502098     4.734577   \n",
       "22            7.915406    -1.031427    -0.634159     4.542916     5.593387   \n",
       "23           -5.107706    -9.575283    -0.776637   -12.640155    -9.503292   \n",
       "24          -14.687232   -15.727573   -11.378047   -16.792849    -9.368689   \n",
       "25            0.028141     1.375159    -8.656001    -1.029539     1.198187   \n",
       "26            2.067820     3.674511     1.558176     2.306047    -0.951175   \n",
       "27            1.190902    -3.397716    -3.803428    -4.769999    -1.136950   \n",
       "28           -2.082234    -0.632554     2.446383    -1.518596    -1.234901   \n",
       "29           -2.797536    -5.132243    -0.705426    -3.785079     0.237396   \n",
       "...                ...          ...          ...          ...          ...   \n",
       "3163         -0.434498    -0.431504     1.162817    -1.763330     2.104796   \n",
       "3164         -0.719858     0.102448     3.180527     1.189727     2.077633   \n",
       "3165         -0.480617     3.359933    -2.011937     6.561277    -0.134227   \n",
       "3166         -4.397793     5.174486    -2.160399    -3.810226    -4.535615   \n",
       "3167         -4.557985     0.842573     3.502335     1.531624    -1.545153   \n",
       "3168         -3.958322    -3.733590    -4.562809    -6.442917    -5.040889   \n",
       "3169         -3.221091     0.289680    10.694870     5.440390    -3.727831   \n",
       "3170         -9.911169     6.736119     6.433032     0.719587     1.429233   \n",
       "3171          5.095861     4.868258     3.144921    17.236306    -7.608378   \n",
       "3172         10.916963    -2.649606    15.558684    -5.916543    -8.509402   \n",
       "3173        -23.300971    -7.392431   -12.636926     3.623073    -2.338590   \n",
       "3174         -0.070403   -12.774915    16.502720    20.093063   -19.358233   \n",
       "3175         18.629317    -0.982939    -3.642222     2.096729     7.071547   \n",
       "3176        -13.673610     3.093562     8.027411    -4.747240   -12.013555   \n",
       "3177        -11.899450    14.886132     4.841727    -6.903896    -5.761986   \n",
       "3178         -5.454164     5.191569     6.001656     2.888981    -6.224712   \n",
       "3179          0.933652     5.227392    -4.058912    -0.812583   -10.715742   \n",
       "3180          0.278940    -0.973320    17.914554     6.003143    -0.207819   \n",
       "3181          1.555544    -9.691801   -11.566801    13.619696     6.234414   \n",
       "3182         -0.061057     7.689674    23.749508    25.085233    -0.110593   \n",
       "3183          7.492114    -0.401849     0.806452    29.066295   -12.603387   \n",
       "3184         -2.878980     6.486639    11.127389    10.877797    -5.585731   \n",
       "3185          4.662270     4.373094     4.933173     2.176403     5.598720   \n",
       "3186         -3.298406     2.122524     9.342778     5.523001     4.781489   \n",
       "3187        -22.870900   -21.092907    16.828794   -39.211861   -14.409938   \n",
       "3188        -14.248864     1.255221    16.243199    -5.295460   -14.075283   \n",
       "3189         -0.564849     0.654527     2.408578    21.160658    16.308671   \n",
       "3190        -12.127022   -18.136812    -5.536861    -7.521840   -14.740608   \n",
       "3191          1.682288   -11.990126    -1.182592    -2.250385   -18.020168   \n",
       "3192          6.935294   -12.032179    -8.040059    12.372583     1.533635   \n",
       "\n",
       "      RNETMIG2015  \n",
       "0        0.712594  \n",
       "1       -2.187333  \n",
       "2       18.293499  \n",
       "3      -10.543299  \n",
       "4        1.107861  \n",
       "5       -0.884411  \n",
       "6      -13.193961  \n",
       "7       -6.430868  \n",
       "8       -2.806406  \n",
       "9        2.346901  \n",
       "10      -2.931307  \n",
       "11      -1.752709  \n",
       "12      -5.291205  \n",
       "13      -5.411736  \n",
       "14       3.986270  \n",
       "15      -3.123961  \n",
       "16       5.350738  \n",
       "17       0.588052  \n",
       "18       2.684140  \n",
       "19      -5.387581  \n",
       "20      -0.264121  \n",
       "21       5.087600  \n",
       "22       8.417777  \n",
       "23      -1.998668  \n",
       "24     -14.711389  \n",
       "25       0.956790  \n",
       "26       2.757093  \n",
       "27       1.243830  \n",
       "28      -1.588308  \n",
       "29      -2.857058  \n",
       "...           ...  \n",
       "3163     0.059931  \n",
       "3164     0.593567  \n",
       "3165    -0.173022  \n",
       "3166    -4.024395  \n",
       "3167    -3.685304  \n",
       "3168    -3.414223  \n",
       "3169    -2.091573  \n",
       "3170    -5.166460  \n",
       "3171     5.513554  \n",
       "3172    10.978525  \n",
       "3173   -22.600668  \n",
       "3174     1.126443  \n",
       "3175    19.309219  \n",
       "3176   -13.352750  \n",
       "3177   -10.635133  \n",
       "3178    -5.663940  \n",
       "3179     0.933652  \n",
       "3180     1.673640  \n",
       "3181     1.662823  \n",
       "3182     0.793743  \n",
       "3183     7.492114  \n",
       "3184     0.856839  \n",
       "3185     4.207414  \n",
       "3186    -2.198937  \n",
       "3187   -20.664059  \n",
       "3188   -14.070195  \n",
       "3189     1.520747  \n",
       "3190   -12.606351  \n",
       "3191     1.441961  \n",
       "3192     6.935294  \n",
       "\n",
       "[3193 rows x 100 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv('census.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>SUMLEV</th>\n",
       "      <th>REGION</th>\n",
       "      <th>DIVISION</th>\n",
       "      <th>STATE</th>\n",
       "      <th>COUNTY</th>\n",
       "      <th>CENSUS2010POP</th>\n",
       "      <th>Estimates Base 2010</th>\n",
       "      <th>POPESTIMATE2010</th>\n",
       "      <th>POPESTIMATE2011</th>\n",
       "      <th>POPESTIMATE2012</th>\n",
       "      <th>...</th>\n",
       "      <th>RDOMESTICMIG2011</th>\n",
       "      <th>RDOMESTICMIG2012</th>\n",
       "      <th>RDOMESTICMIG2013</th>\n",
       "      <th>RDOMESTICMIG2014</th>\n",
       "      <th>RDOMESTICMIG2015</th>\n",
       "      <th>RNETMIG2011</th>\n",
       "      <th>RNETMIG2012</th>\n",
       "      <th>RNETMIG2013</th>\n",
       "      <th>RNETMIG2014</th>\n",
       "      <th>RNETMIG2015</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STNAME</th>\n",
       "      <th>CTYNAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">Alabama</th>\n",
       "      <th>Autauga County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54571.0</td>\n",
       "      <td>54571.0</td>\n",
       "      <td>54660.0</td>\n",
       "      <td>55253.0</td>\n",
       "      <td>55175.0</td>\n",
       "      <td>...</td>\n",
       "      <td>7.242091</td>\n",
       "      <td>-2.915927</td>\n",
       "      <td>-3.012349</td>\n",
       "      <td>2.265971</td>\n",
       "      <td>-2.530799</td>\n",
       "      <td>7.606016</td>\n",
       "      <td>-2.626146</td>\n",
       "      <td>-2.722002</td>\n",
       "      <td>2.592270</td>\n",
       "      <td>-2.187333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Baldwin County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>182265.0</td>\n",
       "      <td>182265.0</td>\n",
       "      <td>183193.0</td>\n",
       "      <td>186659.0</td>\n",
       "      <td>190396.0</td>\n",
       "      <td>...</td>\n",
       "      <td>14.832960</td>\n",
       "      <td>17.647293</td>\n",
       "      <td>21.845705</td>\n",
       "      <td>19.243287</td>\n",
       "      <td>17.197872</td>\n",
       "      <td>15.844176</td>\n",
       "      <td>18.559627</td>\n",
       "      <td>22.727626</td>\n",
       "      <td>20.317142</td>\n",
       "      <td>18.293499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Barbour County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>27457.0</td>\n",
       "      <td>27457.0</td>\n",
       "      <td>27341.0</td>\n",
       "      <td>27226.0</td>\n",
       "      <td>27159.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.728132</td>\n",
       "      <td>-2.500690</td>\n",
       "      <td>-7.056824</td>\n",
       "      <td>-3.904217</td>\n",
       "      <td>-10.543299</td>\n",
       "      <td>-4.874741</td>\n",
       "      <td>-2.758113</td>\n",
       "      <td>-7.167664</td>\n",
       "      <td>-3.978583</td>\n",
       "      <td>-10.543299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bibb County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>22915.0</td>\n",
       "      <td>22919.0</td>\n",
       "      <td>22861.0</td>\n",
       "      <td>22733.0</td>\n",
       "      <td>22642.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.527043</td>\n",
       "      <td>-5.068871</td>\n",
       "      <td>-6.201001</td>\n",
       "      <td>-0.177537</td>\n",
       "      <td>0.177258</td>\n",
       "      <td>-5.088389</td>\n",
       "      <td>-4.363636</td>\n",
       "      <td>-5.403729</td>\n",
       "      <td>0.754533</td>\n",
       "      <td>1.107861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blount County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>57322.0</td>\n",
       "      <td>57322.0</td>\n",
       "      <td>57373.0</td>\n",
       "      <td>57711.0</td>\n",
       "      <td>57776.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.807375</td>\n",
       "      <td>-1.177622</td>\n",
       "      <td>-1.748766</td>\n",
       "      <td>-2.062535</td>\n",
       "      <td>-1.369970</td>\n",
       "      <td>1.859511</td>\n",
       "      <td>-0.848580</td>\n",
       "      <td>-1.402476</td>\n",
       "      <td>-1.577232</td>\n",
       "      <td>-0.884411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bullock County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10914.0</td>\n",
       "      <td>10915.0</td>\n",
       "      <td>10887.0</td>\n",
       "      <td>10629.0</td>\n",
       "      <td>10606.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-30.953709</td>\n",
       "      <td>-5.180127</td>\n",
       "      <td>-1.130263</td>\n",
       "      <td>14.354290</td>\n",
       "      <td>-16.167247</td>\n",
       "      <td>-29.001673</td>\n",
       "      <td>-2.825524</td>\n",
       "      <td>1.507017</td>\n",
       "      <td>17.243790</td>\n",
       "      <td>-13.193961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Butler County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>20947.0</td>\n",
       "      <td>20946.0</td>\n",
       "      <td>20944.0</td>\n",
       "      <td>20673.0</td>\n",
       "      <td>20408.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-14.032727</td>\n",
       "      <td>-11.684234</td>\n",
       "      <td>-5.655413</td>\n",
       "      <td>1.085428</td>\n",
       "      <td>-6.529805</td>\n",
       "      <td>-13.936612</td>\n",
       "      <td>-11.586865</td>\n",
       "      <td>-5.557058</td>\n",
       "      <td>1.184103</td>\n",
       "      <td>-6.430868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Calhoun County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>118572.0</td>\n",
       "      <td>118586.0</td>\n",
       "      <td>118437.0</td>\n",
       "      <td>117768.0</td>\n",
       "      <td>117286.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.155670</td>\n",
       "      <td>-4.611706</td>\n",
       "      <td>-5.524649</td>\n",
       "      <td>-4.463211</td>\n",
       "      <td>-3.376322</td>\n",
       "      <td>-5.791579</td>\n",
       "      <td>-4.092677</td>\n",
       "      <td>-5.062836</td>\n",
       "      <td>-3.912834</td>\n",
       "      <td>-2.806406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chambers County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>34215.0</td>\n",
       "      <td>34170.0</td>\n",
       "      <td>34098.0</td>\n",
       "      <td>33993.0</td>\n",
       "      <td>34075.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.731639</td>\n",
       "      <td>3.849092</td>\n",
       "      <td>2.872721</td>\n",
       "      <td>-2.287222</td>\n",
       "      <td>1.349468</td>\n",
       "      <td>-1.821092</td>\n",
       "      <td>4.701181</td>\n",
       "      <td>3.781439</td>\n",
       "      <td>-1.290228</td>\n",
       "      <td>2.346901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cherokee County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>25989.0</td>\n",
       "      <td>25986.0</td>\n",
       "      <td>25976.0</td>\n",
       "      <td>26080.0</td>\n",
       "      <td>26023.0</td>\n",
       "      <td>...</td>\n",
       "      <td>6.339327</td>\n",
       "      <td>1.113180</td>\n",
       "      <td>5.488706</td>\n",
       "      <td>-0.076806</td>\n",
       "      <td>-3.239866</td>\n",
       "      <td>6.416167</td>\n",
       "      <td>1.420264</td>\n",
       "      <td>5.757384</td>\n",
       "      <td>0.230419</td>\n",
       "      <td>-2.931307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chilton County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>43643.0</td>\n",
       "      <td>43631.0</td>\n",
       "      <td>43665.0</td>\n",
       "      <td>43739.0</td>\n",
       "      <td>43697.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.372935</td>\n",
       "      <td>-2.653369</td>\n",
       "      <td>0.480044</td>\n",
       "      <td>0.456017</td>\n",
       "      <td>-2.253483</td>\n",
       "      <td>-0.823761</td>\n",
       "      <td>-2.447504</td>\n",
       "      <td>0.868651</td>\n",
       "      <td>0.957636</td>\n",
       "      <td>-1.752709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Choctaw County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>13859.0</td>\n",
       "      <td>13858.0</td>\n",
       "      <td>13841.0</td>\n",
       "      <td>13593.0</td>\n",
       "      <td>13543.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-15.455274</td>\n",
       "      <td>-0.737028</td>\n",
       "      <td>-8.766391</td>\n",
       "      <td>-1.274984</td>\n",
       "      <td>-5.291205</td>\n",
       "      <td>-15.528177</td>\n",
       "      <td>-0.737028</td>\n",
       "      <td>-8.766391</td>\n",
       "      <td>-1.274984</td>\n",
       "      <td>-5.291205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clarke County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25833.0</td>\n",
       "      <td>25840.0</td>\n",
       "      <td>25767.0</td>\n",
       "      <td>25570.0</td>\n",
       "      <td>25144.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.194363</td>\n",
       "      <td>-17.667705</td>\n",
       "      <td>-0.318345</td>\n",
       "      <td>-8.686428</td>\n",
       "      <td>-5.613667</td>\n",
       "      <td>-6.077488</td>\n",
       "      <td>-17.509958</td>\n",
       "      <td>-0.159172</td>\n",
       "      <td>-8.486280</td>\n",
       "      <td>-5.411736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clay County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>13932.0</td>\n",
       "      <td>13932.0</td>\n",
       "      <td>13880.0</td>\n",
       "      <td>13670.0</td>\n",
       "      <td>13456.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-10.744102</td>\n",
       "      <td>-13.345130</td>\n",
       "      <td>4.902871</td>\n",
       "      <td>5.702648</td>\n",
       "      <td>3.912450</td>\n",
       "      <td>-10.816697</td>\n",
       "      <td>-13.345130</td>\n",
       "      <td>4.977157</td>\n",
       "      <td>5.776708</td>\n",
       "      <td>3.986270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cleburne County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>14972.0</td>\n",
       "      <td>14972.0</td>\n",
       "      <td>14973.0</td>\n",
       "      <td>14971.0</td>\n",
       "      <td>14921.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.673524</td>\n",
       "      <td>-5.151880</td>\n",
       "      <td>7.345821</td>\n",
       "      <td>3.654485</td>\n",
       "      <td>-3.123961</td>\n",
       "      <td>-3.673524</td>\n",
       "      <td>-5.151880</td>\n",
       "      <td>7.345821</td>\n",
       "      <td>3.654485</td>\n",
       "      <td>-3.123961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coffee County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>49948.0</td>\n",
       "      <td>49948.0</td>\n",
       "      <td>50177.0</td>\n",
       "      <td>50448.0</td>\n",
       "      <td>51173.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.377640</td>\n",
       "      <td>7.675579</td>\n",
       "      <td>-13.146535</td>\n",
       "      <td>-3.602859</td>\n",
       "      <td>2.214774</td>\n",
       "      <td>2.166460</td>\n",
       "      <td>11.513368</td>\n",
       "      <td>-10.438741</td>\n",
       "      <td>-0.767822</td>\n",
       "      <td>5.350738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Colbert County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>54428.0</td>\n",
       "      <td>54428.0</td>\n",
       "      <td>54514.0</td>\n",
       "      <td>54443.0</td>\n",
       "      <td>54472.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.073423</td>\n",
       "      <td>1.065051</td>\n",
       "      <td>1.762390</td>\n",
       "      <td>1.835688</td>\n",
       "      <td>-0.110260</td>\n",
       "      <td>0.513964</td>\n",
       "      <td>1.469035</td>\n",
       "      <td>2.276420</td>\n",
       "      <td>2.533249</td>\n",
       "      <td>0.588052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conecuh County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>13228.0</td>\n",
       "      <td>13228.0</td>\n",
       "      <td>13208.0</td>\n",
       "      <td>13121.0</td>\n",
       "      <td>12996.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.861559</td>\n",
       "      <td>-7.504690</td>\n",
       "      <td>-6.107224</td>\n",
       "      <td>-14.645416</td>\n",
       "      <td>2.684140</td>\n",
       "      <td>-4.861559</td>\n",
       "      <td>-7.504690</td>\n",
       "      <td>-6.107224</td>\n",
       "      <td>-14.645416</td>\n",
       "      <td>2.684140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coosa County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>11539.0</td>\n",
       "      <td>11758.0</td>\n",
       "      <td>11758.0</td>\n",
       "      <td>11348.0</td>\n",
       "      <td>11195.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-33.930581</td>\n",
       "      <td>-10.291443</td>\n",
       "      <td>-4.313831</td>\n",
       "      <td>-22.958017</td>\n",
       "      <td>-5.387581</td>\n",
       "      <td>-34.017138</td>\n",
       "      <td>-10.380162</td>\n",
       "      <td>-4.403703</td>\n",
       "      <td>-23.049483</td>\n",
       "      <td>-5.387581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Covington County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>37765.0</td>\n",
       "      <td>37765.0</td>\n",
       "      <td>37796.0</td>\n",
       "      <td>38060.0</td>\n",
       "      <td>37818.0</td>\n",
       "      <td>...</td>\n",
       "      <td>6.696899</td>\n",
       "      <td>-4.612668</td>\n",
       "      <td>0.740271</td>\n",
       "      <td>3.697932</td>\n",
       "      <td>-0.316945</td>\n",
       "      <td>6.881460</td>\n",
       "      <td>-4.559952</td>\n",
       "      <td>0.793147</td>\n",
       "      <td>3.750759</td>\n",
       "      <td>-0.264121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Crenshaw County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>13906.0</td>\n",
       "      <td>13906.0</td>\n",
       "      <td>13853.0</td>\n",
       "      <td>13896.0</td>\n",
       "      <td>13951.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.729792</td>\n",
       "      <td>3.950156</td>\n",
       "      <td>-1.864936</td>\n",
       "      <td>3.084648</td>\n",
       "      <td>3.439504</td>\n",
       "      <td>2.666763</td>\n",
       "      <td>5.099293</td>\n",
       "      <td>-0.502098</td>\n",
       "      <td>4.734577</td>\n",
       "      <td>5.087600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cullman County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>80406.0</td>\n",
       "      <td>80410.0</td>\n",
       "      <td>80473.0</td>\n",
       "      <td>80469.0</td>\n",
       "      <td>80374.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.404233</td>\n",
       "      <td>-1.019628</td>\n",
       "      <td>4.071247</td>\n",
       "      <td>5.087142</td>\n",
       "      <td>7.915406</td>\n",
       "      <td>-1.031427</td>\n",
       "      <td>-0.634159</td>\n",
       "      <td>4.542916</td>\n",
       "      <td>5.593387</td>\n",
       "      <td>8.417777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dale County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>50251.0</td>\n",
       "      <td>50251.0</td>\n",
       "      <td>50358.0</td>\n",
       "      <td>50109.0</td>\n",
       "      <td>50324.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-10.749798</td>\n",
       "      <td>-5.277150</td>\n",
       "      <td>-15.236079</td>\n",
       "      <td>-11.979785</td>\n",
       "      <td>-5.107706</td>\n",
       "      <td>-9.575283</td>\n",
       "      <td>-0.776637</td>\n",
       "      <td>-12.640155</td>\n",
       "      <td>-9.503292</td>\n",
       "      <td>-1.998668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dallas County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>43820.0</td>\n",
       "      <td>43820.0</td>\n",
       "      <td>43803.0</td>\n",
       "      <td>43178.0</td>\n",
       "      <td>42777.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-15.635599</td>\n",
       "      <td>-11.308243</td>\n",
       "      <td>-16.745678</td>\n",
       "      <td>-9.344789</td>\n",
       "      <td>-14.687232</td>\n",
       "      <td>-15.727573</td>\n",
       "      <td>-11.378047</td>\n",
       "      <td>-16.792849</td>\n",
       "      <td>-9.368689</td>\n",
       "      <td>-14.711389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DeKalb County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>71109.0</td>\n",
       "      <td>71115.0</td>\n",
       "      <td>71142.0</td>\n",
       "      <td>71387.0</td>\n",
       "      <td>70942.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.294677</td>\n",
       "      <td>-9.302391</td>\n",
       "      <td>-1.748807</td>\n",
       "      <td>0.267830</td>\n",
       "      <td>0.028141</td>\n",
       "      <td>1.375159</td>\n",
       "      <td>-8.656001</td>\n",
       "      <td>-1.029539</td>\n",
       "      <td>1.198187</td>\n",
       "      <td>0.956790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elmore County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>79303.0</td>\n",
       "      <td>79296.0</td>\n",
       "      <td>79465.0</td>\n",
       "      <td>80012.0</td>\n",
       "      <td>80432.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.235576</td>\n",
       "      <td>0.822717</td>\n",
       "      <td>1.760531</td>\n",
       "      <td>-1.507057</td>\n",
       "      <td>2.067820</td>\n",
       "      <td>3.674511</td>\n",
       "      <td>1.558176</td>\n",
       "      <td>2.306047</td>\n",
       "      <td>-0.951175</td>\n",
       "      <td>2.757093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Escambia County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>38319.0</td>\n",
       "      <td>38319.0</td>\n",
       "      <td>38309.0</td>\n",
       "      <td>38213.0</td>\n",
       "      <td>38034.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.449988</td>\n",
       "      <td>-3.855889</td>\n",
       "      <td>-4.822706</td>\n",
       "      <td>-1.189831</td>\n",
       "      <td>1.190902</td>\n",
       "      <td>-3.397716</td>\n",
       "      <td>-3.803428</td>\n",
       "      <td>-4.769999</td>\n",
       "      <td>-1.136950</td>\n",
       "      <td>1.243830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Etowah County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>104430.0</td>\n",
       "      <td>104427.0</td>\n",
       "      <td>104442.0</td>\n",
       "      <td>104236.0</td>\n",
       "      <td>104235.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.015919</td>\n",
       "      <td>2.062637</td>\n",
       "      <td>-1.931884</td>\n",
       "      <td>-1.726932</td>\n",
       "      <td>-2.082234</td>\n",
       "      <td>-0.632554</td>\n",
       "      <td>2.446383</td>\n",
       "      <td>-1.518596</td>\n",
       "      <td>-1.234901</td>\n",
       "      <td>-1.588308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fayette County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>17241.0</td>\n",
       "      <td>17241.0</td>\n",
       "      <td>17231.0</td>\n",
       "      <td>17062.0</td>\n",
       "      <td>16960.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.015601</td>\n",
       "      <td>-0.646640</td>\n",
       "      <td>-3.725937</td>\n",
       "      <td>0.296745</td>\n",
       "      <td>-2.797536</td>\n",
       "      <td>-5.132243</td>\n",
       "      <td>-0.705426</td>\n",
       "      <td>-3.785079</td>\n",
       "      <td>0.237396</td>\n",
       "      <td>-2.857058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Franklin County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>31704.0</td>\n",
       "      <td>31709.0</td>\n",
       "      <td>31734.0</td>\n",
       "      <td>31729.0</td>\n",
       "      <td>31648.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.638750</td>\n",
       "      <td>-5.459394</td>\n",
       "      <td>-8.043702</td>\n",
       "      <td>-1.267849</td>\n",
       "      <td>-2.401719</td>\n",
       "      <td>0.063029</td>\n",
       "      <td>-3.471291</td>\n",
       "      <td>-5.700261</td>\n",
       "      <td>1.553115</td>\n",
       "      <td>0.442422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">Wisconsin</th>\n",
       "      <th>Washburn County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>15911.0</td>\n",
       "      <td>15911.0</td>\n",
       "      <td>15930.0</td>\n",
       "      <td>15784.0</td>\n",
       "      <td>15831.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.873936</td>\n",
       "      <td>7.338289</td>\n",
       "      <td>-6.732724</td>\n",
       "      <td>3.510452</td>\n",
       "      <td>-5.123279</td>\n",
       "      <td>-6.747809</td>\n",
       "      <td>7.464811</td>\n",
       "      <td>-6.605691</td>\n",
       "      <td>3.638104</td>\n",
       "      <td>-4.995197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>131887.0</td>\n",
       "      <td>131885.0</td>\n",
       "      <td>131967.0</td>\n",
       "      <td>132225.0</td>\n",
       "      <td>132649.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.794876</td>\n",
       "      <td>0.785279</td>\n",
       "      <td>-2.215465</td>\n",
       "      <td>1.601149</td>\n",
       "      <td>-0.434498</td>\n",
       "      <td>-0.431504</td>\n",
       "      <td>1.162817</td>\n",
       "      <td>-1.763330</td>\n",
       "      <td>2.104796</td>\n",
       "      <td>0.059931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Waukesha County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>389891.0</td>\n",
       "      <td>389938.0</td>\n",
       "      <td>390076.0</td>\n",
       "      <td>390808.0</td>\n",
       "      <td>392710.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.765799</td>\n",
       "      <td>2.128860</td>\n",
       "      <td>0.038132</td>\n",
       "      <td>0.760109</td>\n",
       "      <td>-0.719858</td>\n",
       "      <td>0.102448</td>\n",
       "      <td>3.180527</td>\n",
       "      <td>1.189727</td>\n",
       "      <td>2.077633</td>\n",
       "      <td>0.593567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Waupaca County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>52410.0</td>\n",
       "      <td>52410.0</td>\n",
       "      <td>52422.0</td>\n",
       "      <td>52342.0</td>\n",
       "      <td>52035.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.111756</td>\n",
       "      <td>-2.241873</td>\n",
       "      <td>6.292687</td>\n",
       "      <td>-0.441031</td>\n",
       "      <td>-0.480617</td>\n",
       "      <td>3.359933</td>\n",
       "      <td>-2.011937</td>\n",
       "      <td>6.561277</td>\n",
       "      <td>-0.134227</td>\n",
       "      <td>-0.173022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Waushara County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>24496.0</td>\n",
       "      <td>24496.0</td>\n",
       "      <td>24506.0</td>\n",
       "      <td>24581.0</td>\n",
       "      <td>24484.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.930022</td>\n",
       "      <td>-2.404973</td>\n",
       "      <td>-4.097017</td>\n",
       "      <td>-4.906711</td>\n",
       "      <td>-4.397793</td>\n",
       "      <td>5.174486</td>\n",
       "      <td>-2.160399</td>\n",
       "      <td>-3.810226</td>\n",
       "      <td>-4.535615</td>\n",
       "      <td>-4.024395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Winnebago County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>166994.0</td>\n",
       "      <td>166994.0</td>\n",
       "      <td>167059.0</td>\n",
       "      <td>167630.0</td>\n",
       "      <td>168717.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.316712</td>\n",
       "      <td>2.889873</td>\n",
       "      <td>0.833819</td>\n",
       "      <td>-2.406192</td>\n",
       "      <td>-4.557985</td>\n",
       "      <td>0.842573</td>\n",
       "      <td>3.502335</td>\n",
       "      <td>1.531624</td>\n",
       "      <td>-1.545153</td>\n",
       "      <td>-3.685304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wood County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>74749.0</td>\n",
       "      <td>74749.0</td>\n",
       "      <td>74807.0</td>\n",
       "      <td>74647.0</td>\n",
       "      <td>74384.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.081523</td>\n",
       "      <td>-5.019090</td>\n",
       "      <td>-6.901200</td>\n",
       "      <td>-5.596471</td>\n",
       "      <td>-3.958322</td>\n",
       "      <td>-3.733590</td>\n",
       "      <td>-4.562809</td>\n",
       "      <td>-6.442917</td>\n",
       "      <td>-5.040889</td>\n",
       "      <td>-3.414223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"23\" valign=\"top\">Wyoming</th>\n",
       "      <th>Albany County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>36299.0</td>\n",
       "      <td>36299.0</td>\n",
       "      <td>36428.0</td>\n",
       "      <td>36908.0</td>\n",
       "      <td>37396.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.708956</td>\n",
       "      <td>2.637812</td>\n",
       "      <td>-3.544634</td>\n",
       "      <td>-3.334877</td>\n",
       "      <td>-9.911169</td>\n",
       "      <td>6.736119</td>\n",
       "      <td>6.433032</td>\n",
       "      <td>0.719587</td>\n",
       "      <td>1.429233</td>\n",
       "      <td>-5.166460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Big Horn County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>11668.0</td>\n",
       "      <td>11668.0</td>\n",
       "      <td>11672.0</td>\n",
       "      <td>11745.0</td>\n",
       "      <td>11785.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.868258</td>\n",
       "      <td>2.804930</td>\n",
       "      <td>16.815908</td>\n",
       "      <td>-8.026420</td>\n",
       "      <td>5.095861</td>\n",
       "      <td>4.868258</td>\n",
       "      <td>3.144921</td>\n",
       "      <td>17.236306</td>\n",
       "      <td>-7.608378</td>\n",
       "      <td>5.513554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Campbell County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>46133.0</td>\n",
       "      <td>46133.0</td>\n",
       "      <td>46244.0</td>\n",
       "      <td>46600.0</td>\n",
       "      <td>47881.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.843479</td>\n",
       "      <td>15.601020</td>\n",
       "      <td>-5.895711</td>\n",
       "      <td>-8.550911</td>\n",
       "      <td>10.916963</td>\n",
       "      <td>-2.649606</td>\n",
       "      <td>15.558684</td>\n",
       "      <td>-5.916543</td>\n",
       "      <td>-8.509402</td>\n",
       "      <td>10.978525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Carbon County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>15885.0</td>\n",
       "      <td>15885.0</td>\n",
       "      <td>15837.0</td>\n",
       "      <td>15817.0</td>\n",
       "      <td>15678.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-7.581980</td>\n",
       "      <td>-13.081441</td>\n",
       "      <td>3.178134</td>\n",
       "      <td>-2.970641</td>\n",
       "      <td>-23.300971</td>\n",
       "      <td>-7.392431</td>\n",
       "      <td>-12.636926</td>\n",
       "      <td>3.623073</td>\n",
       "      <td>-2.338590</td>\n",
       "      <td>-22.600668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Converse County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13833.0</td>\n",
       "      <td>13833.0</td>\n",
       "      <td>13826.0</td>\n",
       "      <td>13728.0</td>\n",
       "      <td>14025.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-12.847499</td>\n",
       "      <td>15.493820</td>\n",
       "      <td>19.035533</td>\n",
       "      <td>-20.550587</td>\n",
       "      <td>-0.070403</td>\n",
       "      <td>-12.774915</td>\n",
       "      <td>16.502720</td>\n",
       "      <td>20.093063</td>\n",
       "      <td>-19.358233</td>\n",
       "      <td>1.126443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Crook County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7083.0</td>\n",
       "      <td>7083.0</td>\n",
       "      <td>7114.0</td>\n",
       "      <td>7129.0</td>\n",
       "      <td>7148.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.544618</td>\n",
       "      <td>-4.202564</td>\n",
       "      <td>1.397819</td>\n",
       "      <td>6.378258</td>\n",
       "      <td>18.629317</td>\n",
       "      <td>-0.982939</td>\n",
       "      <td>-3.642222</td>\n",
       "      <td>2.096729</td>\n",
       "      <td>7.071547</td>\n",
       "      <td>19.309219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fremont County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>40123.0</td>\n",
       "      <td>40123.0</td>\n",
       "      <td>40222.0</td>\n",
       "      <td>40591.0</td>\n",
       "      <td>41129.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.747083</td>\n",
       "      <td>7.782673</td>\n",
       "      <td>-4.990688</td>\n",
       "      <td>-12.331633</td>\n",
       "      <td>-13.673610</td>\n",
       "      <td>3.093562</td>\n",
       "      <td>8.027411</td>\n",
       "      <td>-4.747240</td>\n",
       "      <td>-12.013555</td>\n",
       "      <td>-13.352750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goshen County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>13249.0</td>\n",
       "      <td>13247.0</td>\n",
       "      <td>13408.0</td>\n",
       "      <td>13597.0</td>\n",
       "      <td>13666.0</td>\n",
       "      <td>...</td>\n",
       "      <td>14.293649</td>\n",
       "      <td>3.961413</td>\n",
       "      <td>-8.079028</td>\n",
       "      <td>-7.017803</td>\n",
       "      <td>-11.899450</td>\n",
       "      <td>14.886132</td>\n",
       "      <td>4.841727</td>\n",
       "      <td>-6.903896</td>\n",
       "      <td>-5.761986</td>\n",
       "      <td>-10.635133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hot Springs County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>4812.0</td>\n",
       "      <td>4812.0</td>\n",
       "      <td>4813.0</td>\n",
       "      <td>4818.0</td>\n",
       "      <td>4846.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.322604</td>\n",
       "      <td>6.208609</td>\n",
       "      <td>3.095336</td>\n",
       "      <td>-6.017222</td>\n",
       "      <td>-5.454164</td>\n",
       "      <td>5.191569</td>\n",
       "      <td>6.001656</td>\n",
       "      <td>2.888981</td>\n",
       "      <td>-6.224712</td>\n",
       "      <td>-5.663940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>8569.0</td>\n",
       "      <td>8569.0</td>\n",
       "      <td>8581.0</td>\n",
       "      <td>8636.0</td>\n",
       "      <td>8610.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.995063</td>\n",
       "      <td>-4.058912</td>\n",
       "      <td>-0.812583</td>\n",
       "      <td>-10.715742</td>\n",
       "      <td>0.933652</td>\n",
       "      <td>5.227392</td>\n",
       "      <td>-4.058912</td>\n",
       "      <td>-0.812583</td>\n",
       "      <td>-10.715742</td>\n",
       "      <td>0.933652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Laramie County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>91738.0</td>\n",
       "      <td>91881.0</td>\n",
       "      <td>92271.0</td>\n",
       "      <td>92663.0</td>\n",
       "      <td>94894.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.200428</td>\n",
       "      <td>15.547274</td>\n",
       "      <td>4.787847</td>\n",
       "      <td>-1.226133</td>\n",
       "      <td>0.278940</td>\n",
       "      <td>-0.973320</td>\n",
       "      <td>17.914554</td>\n",
       "      <td>6.003143</td>\n",
       "      <td>-0.207819</td>\n",
       "      <td>1.673640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lincoln County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>18106.0</td>\n",
       "      <td>18106.0</td>\n",
       "      <td>18091.0</td>\n",
       "      <td>18022.0</td>\n",
       "      <td>17943.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.802564</td>\n",
       "      <td>-11.566801</td>\n",
       "      <td>13.564556</td>\n",
       "      <td>6.125989</td>\n",
       "      <td>1.555544</td>\n",
       "      <td>-9.691801</td>\n",
       "      <td>-11.566801</td>\n",
       "      <td>13.619696</td>\n",
       "      <td>6.234414</td>\n",
       "      <td>1.662823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Natrona County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>75450.0</td>\n",
       "      <td>75450.0</td>\n",
       "      <td>75472.0</td>\n",
       "      <td>76420.0</td>\n",
       "      <td>78699.0</td>\n",
       "      <td>...</td>\n",
       "      <td>7.189319</td>\n",
       "      <td>23.066162</td>\n",
       "      <td>24.322042</td>\n",
       "      <td>-0.958472</td>\n",
       "      <td>-0.061057</td>\n",
       "      <td>7.689674</td>\n",
       "      <td>23.749508</td>\n",
       "      <td>25.085233</td>\n",
       "      <td>-0.110593</td>\n",
       "      <td>0.793743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Niobrara County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>2484.0</td>\n",
       "      <td>2484.0</td>\n",
       "      <td>2492.0</td>\n",
       "      <td>2485.0</td>\n",
       "      <td>2475.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.401849</td>\n",
       "      <td>0.806452</td>\n",
       "      <td>29.066295</td>\n",
       "      <td>-12.603387</td>\n",
       "      <td>7.492114</td>\n",
       "      <td>-0.401849</td>\n",
       "      <td>0.806452</td>\n",
       "      <td>29.066295</td>\n",
       "      <td>-12.603387</td>\n",
       "      <td>7.492114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Park County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>28205.0</td>\n",
       "      <td>28205.0</td>\n",
       "      <td>28259.0</td>\n",
       "      <td>28473.0</td>\n",
       "      <td>28863.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.582951</td>\n",
       "      <td>8.057765</td>\n",
       "      <td>7.641997</td>\n",
       "      <td>-9.252437</td>\n",
       "      <td>-2.878980</td>\n",
       "      <td>6.486639</td>\n",
       "      <td>11.127389</td>\n",
       "      <td>10.877797</td>\n",
       "      <td>-5.585731</td>\n",
       "      <td>0.856839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Platte County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>8667.0</td>\n",
       "      <td>8667.0</td>\n",
       "      <td>8678.0</td>\n",
       "      <td>8701.0</td>\n",
       "      <td>8732.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.373094</td>\n",
       "      <td>5.392073</td>\n",
       "      <td>2.634593</td>\n",
       "      <td>6.055759</td>\n",
       "      <td>4.662270</td>\n",
       "      <td>4.373094</td>\n",
       "      <td>4.933173</td>\n",
       "      <td>2.176403</td>\n",
       "      <td>5.598720</td>\n",
       "      <td>4.207414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sheridan County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>29116.0</td>\n",
       "      <td>29116.0</td>\n",
       "      <td>29146.0</td>\n",
       "      <td>29275.0</td>\n",
       "      <td>29594.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.958559</td>\n",
       "      <td>8.425487</td>\n",
       "      <td>4.546373</td>\n",
       "      <td>3.678069</td>\n",
       "      <td>-3.298406</td>\n",
       "      <td>2.122524</td>\n",
       "      <td>9.342778</td>\n",
       "      <td>5.523001</td>\n",
       "      <td>4.781489</td>\n",
       "      <td>-2.198937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sublette County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>10247.0</td>\n",
       "      <td>10247.0</td>\n",
       "      <td>10244.0</td>\n",
       "      <td>10142.0</td>\n",
       "      <td>10418.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-23.741784</td>\n",
       "      <td>15.272374</td>\n",
       "      <td>-40.870074</td>\n",
       "      <td>-16.596273</td>\n",
       "      <td>-22.870900</td>\n",
       "      <td>-21.092907</td>\n",
       "      <td>16.828794</td>\n",
       "      <td>-39.211861</td>\n",
       "      <td>-14.409938</td>\n",
       "      <td>-20.664059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sweetwater County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>43806.0</td>\n",
       "      <td>43806.0</td>\n",
       "      <td>43593.0</td>\n",
       "      <td>44041.0</td>\n",
       "      <td>45104.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.072643</td>\n",
       "      <td>16.243199</td>\n",
       "      <td>-5.339774</td>\n",
       "      <td>-14.252889</td>\n",
       "      <td>-14.248864</td>\n",
       "      <td>1.255221</td>\n",
       "      <td>16.243199</td>\n",
       "      <td>-5.295460</td>\n",
       "      <td>-14.075283</td>\n",
       "      <td>-14.070195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Teton County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>21294.0</td>\n",
       "      <td>21294.0</td>\n",
       "      <td>21297.0</td>\n",
       "      <td>21482.0</td>\n",
       "      <td>21697.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.589565</td>\n",
       "      <td>0.972695</td>\n",
       "      <td>19.525929</td>\n",
       "      <td>14.143021</td>\n",
       "      <td>-0.564849</td>\n",
       "      <td>0.654527</td>\n",
       "      <td>2.408578</td>\n",
       "      <td>21.160658</td>\n",
       "      <td>16.308671</td>\n",
       "      <td>1.520747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uinta County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>21118.0</td>\n",
       "      <td>21118.0</td>\n",
       "      <td>21102.0</td>\n",
       "      <td>20912.0</td>\n",
       "      <td>20989.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-17.755986</td>\n",
       "      <td>-4.916350</td>\n",
       "      <td>-6.902954</td>\n",
       "      <td>-14.215862</td>\n",
       "      <td>-12.127022</td>\n",
       "      <td>-18.136812</td>\n",
       "      <td>-5.536861</td>\n",
       "      <td>-7.521840</td>\n",
       "      <td>-14.740608</td>\n",
       "      <td>-12.606351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washakie County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>8533.0</td>\n",
       "      <td>8533.0</td>\n",
       "      <td>8545.0</td>\n",
       "      <td>8469.0</td>\n",
       "      <td>8443.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-11.637475</td>\n",
       "      <td>-0.827815</td>\n",
       "      <td>-2.013502</td>\n",
       "      <td>-17.781491</td>\n",
       "      <td>1.682288</td>\n",
       "      <td>-11.990126</td>\n",
       "      <td>-1.182592</td>\n",
       "      <td>-2.250385</td>\n",
       "      <td>-18.020168</td>\n",
       "      <td>1.441961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weston County</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>7208.0</td>\n",
       "      <td>7208.0</td>\n",
       "      <td>7181.0</td>\n",
       "      <td>7114.0</td>\n",
       "      <td>7065.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-11.752361</td>\n",
       "      <td>-8.040059</td>\n",
       "      <td>12.372583</td>\n",
       "      <td>1.533635</td>\n",
       "      <td>6.935294</td>\n",
       "      <td>-12.032179</td>\n",
       "      <td>-8.040059</td>\n",
       "      <td>12.372583</td>\n",
       "      <td>1.533635</td>\n",
       "      <td>6.935294</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3142 rows × 98 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              SUMLEV  REGION  DIVISION  STATE  COUNTY  \\\n",
       "STNAME    CTYNAME                                                       \n",
       "Alabama   Autauga County        50.0     3.0       6.0    1.0     1.0   \n",
       "          Baldwin County        50.0     3.0       6.0    1.0     3.0   \n",
       "          Barbour County        50.0     3.0       6.0    1.0     5.0   \n",
       "          Bibb County           50.0     3.0       6.0    1.0     7.0   \n",
       "          Blount County         50.0     3.0       6.0    1.0     9.0   \n",
       "          Bullock County        50.0     3.0       6.0    1.0    11.0   \n",
       "          Butler County         50.0     3.0       6.0    1.0    13.0   \n",
       "          Calhoun County        50.0     3.0       6.0    1.0    15.0   \n",
       "          Chambers County       50.0     3.0       6.0    1.0    17.0   \n",
       "          Cherokee County       50.0     3.0       6.0    1.0    19.0   \n",
       "          Chilton County        50.0     3.0       6.0    1.0    21.0   \n",
       "          Choctaw County        50.0     3.0       6.0    1.0    23.0   \n",
       "          Clarke County         50.0     3.0       6.0    1.0    25.0   \n",
       "          Clay County           50.0     3.0       6.0    1.0    27.0   \n",
       "          Cleburne County       50.0     3.0       6.0    1.0    29.0   \n",
       "          Coffee County         50.0     3.0       6.0    1.0    31.0   \n",
       "          Colbert County        50.0     3.0       6.0    1.0    33.0   \n",
       "          Conecuh County        50.0     3.0       6.0    1.0    35.0   \n",
       "          Coosa County          50.0     3.0       6.0    1.0    37.0   \n",
       "          Covington County      50.0     3.0       6.0    1.0    39.0   \n",
       "          Crenshaw County       50.0     3.0       6.0    1.0    41.0   \n",
       "          Cullman County        50.0     3.0       6.0    1.0    43.0   \n",
       "          Dale County           50.0     3.0       6.0    1.0    45.0   \n",
       "          Dallas County         50.0     3.0       6.0    1.0    47.0   \n",
       "          DeKalb County         50.0     3.0       6.0    1.0    49.0   \n",
       "          Elmore County         50.0     3.0       6.0    1.0    51.0   \n",
       "          Escambia County       50.0     3.0       6.0    1.0    53.0   \n",
       "          Etowah County         50.0     3.0       6.0    1.0    55.0   \n",
       "          Fayette County        50.0     3.0       6.0    1.0    57.0   \n",
       "          Franklin County       50.0     3.0       6.0    1.0    59.0   \n",
       "...                              ...     ...       ...    ...     ...   \n",
       "Wisconsin Washburn County       50.0     2.0       3.0   55.0   129.0   \n",
       "          Washington County     50.0     2.0       3.0   55.0   131.0   \n",
       "          Waukesha County       50.0     2.0       3.0   55.0   133.0   \n",
       "          Waupaca County        50.0     2.0       3.0   55.0   135.0   \n",
       "          Waushara County       50.0     2.0       3.0   55.0   137.0   \n",
       "          Winnebago County      50.0     2.0       3.0   55.0   139.0   \n",
       "          Wood County           50.0     2.0       3.0   55.0   141.0   \n",
       "Wyoming   Albany County         50.0     4.0       8.0   56.0     1.0   \n",
       "          Big Horn County       50.0     4.0       8.0   56.0     3.0   \n",
       "          Campbell County       50.0     4.0       8.0   56.0     5.0   \n",
       "          Carbon County         50.0     4.0       8.0   56.0     7.0   \n",
       "          Converse County       50.0     4.0       8.0   56.0     9.0   \n",
       "          Crook County          50.0     4.0       8.0   56.0    11.0   \n",
       "          Fremont County        50.0     4.0       8.0   56.0    13.0   \n",
       "          Goshen County         50.0     4.0       8.0   56.0    15.0   \n",
       "          Hot Springs County    50.0     4.0       8.0   56.0    17.0   \n",
       "          Johnson County        50.0     4.0       8.0   56.0    19.0   \n",
       "          Laramie County        50.0     4.0       8.0   56.0    21.0   \n",
       "          Lincoln County        50.0     4.0       8.0   56.0    23.0   \n",
       "          Natrona County        50.0     4.0       8.0   56.0    25.0   \n",
       "          Niobrara County       50.0     4.0       8.0   56.0    27.0   \n",
       "          Park County           50.0     4.0       8.0   56.0    29.0   \n",
       "          Platte County         50.0     4.0       8.0   56.0    31.0   \n",
       "          Sheridan County       50.0     4.0       8.0   56.0    33.0   \n",
       "          Sublette County       50.0     4.0       8.0   56.0    35.0   \n",
       "          Sweetwater County     50.0     4.0       8.0   56.0    37.0   \n",
       "          Teton County          50.0     4.0       8.0   56.0    39.0   \n",
       "          Uinta County          50.0     4.0       8.0   56.0    41.0   \n",
       "          Washakie County       50.0     4.0       8.0   56.0    43.0   \n",
       "          Weston County         50.0     4.0       8.0   56.0    45.0   \n",
       "\n",
       "                              CENSUS2010POP  Estimates Base 2010  \\\n",
       "STNAME    CTYNAME                                                  \n",
       "Alabama   Autauga County            54571.0              54571.0   \n",
       "          Baldwin County           182265.0             182265.0   \n",
       "          Barbour County            27457.0              27457.0   \n",
       "          Bibb County               22915.0              22919.0   \n",
       "          Blount County             57322.0              57322.0   \n",
       "          Bullock County            10914.0              10915.0   \n",
       "          Butler County             20947.0              20946.0   \n",
       "          Calhoun County           118572.0             118586.0   \n",
       "          Chambers County           34215.0              34170.0   \n",
       "          Cherokee County           25989.0              25986.0   \n",
       "          Chilton County            43643.0              43631.0   \n",
       "          Choctaw County            13859.0              13858.0   \n",
       "          Clarke County             25833.0              25840.0   \n",
       "          Clay County               13932.0              13932.0   \n",
       "          Cleburne County           14972.0              14972.0   \n",
       "          Coffee County             49948.0              49948.0   \n",
       "          Colbert County            54428.0              54428.0   \n",
       "          Conecuh County            13228.0              13228.0   \n",
       "          Coosa County              11539.0              11758.0   \n",
       "          Covington County          37765.0              37765.0   \n",
       "          Crenshaw County           13906.0              13906.0   \n",
       "          Cullman County            80406.0              80410.0   \n",
       "          Dale County               50251.0              50251.0   \n",
       "          Dallas County             43820.0              43820.0   \n",
       "          DeKalb County             71109.0              71115.0   \n",
       "          Elmore County             79303.0              79296.0   \n",
       "          Escambia County           38319.0              38319.0   \n",
       "          Etowah County            104430.0             104427.0   \n",
       "          Fayette County            17241.0              17241.0   \n",
       "          Franklin County           31704.0              31709.0   \n",
       "...                                     ...                  ...   \n",
       "Wisconsin Washburn County           15911.0              15911.0   \n",
       "          Washington County        131887.0             131885.0   \n",
       "          Waukesha County          389891.0             389938.0   \n",
       "          Waupaca County            52410.0              52410.0   \n",
       "          Waushara County           24496.0              24496.0   \n",
       "          Winnebago County         166994.0             166994.0   \n",
       "          Wood County               74749.0              74749.0   \n",
       "Wyoming   Albany County             36299.0              36299.0   \n",
       "          Big Horn County           11668.0              11668.0   \n",
       "          Campbell County           46133.0              46133.0   \n",
       "          Carbon County             15885.0              15885.0   \n",
       "          Converse County           13833.0              13833.0   \n",
       "          Crook County               7083.0               7083.0   \n",
       "          Fremont County            40123.0              40123.0   \n",
       "          Goshen County             13249.0              13247.0   \n",
       "          Hot Springs County         4812.0               4812.0   \n",
       "          Johnson County             8569.0               8569.0   \n",
       "          Laramie County            91738.0              91881.0   \n",
       "          Lincoln County            18106.0              18106.0   \n",
       "          Natrona County            75450.0              75450.0   \n",
       "          Niobrara County            2484.0               2484.0   \n",
       "          Park County               28205.0              28205.0   \n",
       "          Platte County              8667.0               8667.0   \n",
       "          Sheridan County           29116.0              29116.0   \n",
       "          Sublette County           10247.0              10247.0   \n",
       "          Sweetwater County         43806.0              43806.0   \n",
       "          Teton County              21294.0              21294.0   \n",
       "          Uinta County              21118.0              21118.0   \n",
       "          Washakie County            8533.0               8533.0   \n",
       "          Weston County              7208.0               7208.0   \n",
       "\n",
       "                              POPESTIMATE2010  POPESTIMATE2011  \\\n",
       "STNAME    CTYNAME                                                \n",
       "Alabama   Autauga County              54660.0          55253.0   \n",
       "          Baldwin County             183193.0         186659.0   \n",
       "          Barbour County              27341.0          27226.0   \n",
       "          Bibb County                 22861.0          22733.0   \n",
       "          Blount County               57373.0          57711.0   \n",
       "          Bullock County              10887.0          10629.0   \n",
       "          Butler County               20944.0          20673.0   \n",
       "          Calhoun County             118437.0         117768.0   \n",
       "          Chambers County             34098.0          33993.0   \n",
       "          Cherokee County             25976.0          26080.0   \n",
       "          Chilton County              43665.0          43739.0   \n",
       "          Choctaw County              13841.0          13593.0   \n",
       "          Clarke County               25767.0          25570.0   \n",
       "          Clay County                 13880.0          13670.0   \n",
       "          Cleburne County             14973.0          14971.0   \n",
       "          Coffee County               50177.0          50448.0   \n",
       "          Colbert County              54514.0          54443.0   \n",
       "          Conecuh County              13208.0          13121.0   \n",
       "          Coosa County                11758.0          11348.0   \n",
       "          Covington County            37796.0          38060.0   \n",
       "          Crenshaw County             13853.0          13896.0   \n",
       "          Cullman County              80473.0          80469.0   \n",
       "          Dale County                 50358.0          50109.0   \n",
       "          Dallas County               43803.0          43178.0   \n",
       "          DeKalb County               71142.0          71387.0   \n",
       "          Elmore County               79465.0          80012.0   \n",
       "          Escambia County             38309.0          38213.0   \n",
       "          Etowah County              104442.0         104236.0   \n",
       "          Fayette County              17231.0          17062.0   \n",
       "          Franklin County             31734.0          31729.0   \n",
       "...                                       ...              ...   \n",
       "Wisconsin Washburn County             15930.0          15784.0   \n",
       "          Washington County          131967.0         132225.0   \n",
       "          Waukesha County            390076.0         390808.0   \n",
       "          Waupaca County              52422.0          52342.0   \n",
       "          Waushara County             24506.0          24581.0   \n",
       "          Winnebago County           167059.0         167630.0   \n",
       "          Wood County                 74807.0          74647.0   \n",
       "Wyoming   Albany County               36428.0          36908.0   \n",
       "          Big Horn County             11672.0          11745.0   \n",
       "          Campbell County             46244.0          46600.0   \n",
       "          Carbon County               15837.0          15817.0   \n",
       "          Converse County             13826.0          13728.0   \n",
       "          Crook County                 7114.0           7129.0   \n",
       "          Fremont County              40222.0          40591.0   \n",
       "          Goshen County               13408.0          13597.0   \n",
       "          Hot Springs County           4813.0           4818.0   \n",
       "          Johnson County               8581.0           8636.0   \n",
       "          Laramie County              92271.0          92663.0   \n",
       "          Lincoln County              18091.0          18022.0   \n",
       "          Natrona County              75472.0          76420.0   \n",
       "          Niobrara County              2492.0           2485.0   \n",
       "          Park County                 28259.0          28473.0   \n",
       "          Platte County                8678.0           8701.0   \n",
       "          Sheridan County             29146.0          29275.0   \n",
       "          Sublette County             10244.0          10142.0   \n",
       "          Sweetwater County           43593.0          44041.0   \n",
       "          Teton County                21297.0          21482.0   \n",
       "          Uinta County                21102.0          20912.0   \n",
       "          Washakie County              8545.0           8469.0   \n",
       "          Weston County                7181.0           7114.0   \n",
       "\n",
       "                              POPESTIMATE2012     ...       RDOMESTICMIG2011  \\\n",
       "STNAME    CTYNAME                                 ...                          \n",
       "Alabama   Autauga County              55175.0     ...               7.242091   \n",
       "          Baldwin County             190396.0     ...              14.832960   \n",
       "          Barbour County              27159.0     ...              -4.728132   \n",
       "          Bibb County                 22642.0     ...              -5.527043   \n",
       "          Blount County               57776.0     ...               1.807375   \n",
       "          Bullock County              10606.0     ...             -30.953709   \n",
       "          Butler County               20408.0     ...             -14.032727   \n",
       "          Calhoun County             117286.0     ...              -6.155670   \n",
       "          Chambers County             34075.0     ...              -2.731639   \n",
       "          Cherokee County             26023.0     ...               6.339327   \n",
       "          Chilton County              43697.0     ...              -1.372935   \n",
       "          Choctaw County              13543.0     ...             -15.455274   \n",
       "          Clarke County               25144.0     ...              -6.194363   \n",
       "          Clay County                 13456.0     ...             -10.744102   \n",
       "          Cleburne County             14921.0     ...              -3.673524   \n",
       "          Coffee County               51173.0     ...               0.377640   \n",
       "          Colbert County              54472.0     ...              -0.073423   \n",
       "          Conecuh County              12996.0     ...              -4.861559   \n",
       "          Coosa County                11195.0     ...             -33.930581   \n",
       "          Covington County            37818.0     ...               6.696899   \n",
       "          Crenshaw County             13951.0     ...               1.729792   \n",
       "          Cullman County              80374.0     ...              -1.404233   \n",
       "          Dale County                 50324.0     ...             -10.749798   \n",
       "          Dallas County               42777.0     ...             -15.635599   \n",
       "          DeKalb County               70942.0     ...               0.294677   \n",
       "          Elmore County               80432.0     ...               3.235576   \n",
       "          Escambia County             38034.0     ...              -3.449988   \n",
       "          Etowah County              104235.0     ...              -1.015919   \n",
       "          Fayette County              16960.0     ...              -5.015601   \n",
       "          Franklin County             31648.0     ...              -1.638750   \n",
       "...                                       ...     ...                    ...   \n",
       "Wisconsin Washburn County             15831.0     ...              -6.873936   \n",
       "          Washington County          132649.0     ...              -0.794876   \n",
       "          Waukesha County            392710.0     ...              -0.765799   \n",
       "          Waupaca County              52035.0     ...               3.111756   \n",
       "          Waushara County             24484.0     ...               4.930022   \n",
       "          Winnebago County           168717.0     ...               0.316712   \n",
       "          Wood County                 74384.0     ...              -4.081523   \n",
       "Wyoming   Albany County               37396.0     ...               3.708956   \n",
       "          Big Horn County             11785.0     ...               4.868258   \n",
       "          Campbell County             47881.0     ...              -2.843479   \n",
       "          Carbon County               15678.0     ...              -7.581980   \n",
       "          Converse County             14025.0     ...             -12.847499   \n",
       "          Crook County                 7148.0     ...              -1.544618   \n",
       "          Fremont County              41129.0     ...               2.747083   \n",
       "          Goshen County               13666.0     ...              14.293649   \n",
       "          Hot Springs County           4846.0     ...               3.322604   \n",
       "          Johnson County               8610.0     ...               4.995063   \n",
       "          Laramie County              94894.0     ...              -1.200428   \n",
       "          Lincoln County              17943.0     ...              -9.802564   \n",
       "          Natrona County              78699.0     ...               7.189319   \n",
       "          Niobrara County              2475.0     ...              -0.401849   \n",
       "          Park County                 28863.0     ...               4.582951   \n",
       "          Platte County                8732.0     ...               4.373094   \n",
       "          Sheridan County             29594.0     ...               0.958559   \n",
       "          Sublette County             10418.0     ...             -23.741784   \n",
       "          Sweetwater County           45104.0     ...               1.072643   \n",
       "          Teton County                21697.0     ...              -1.589565   \n",
       "          Uinta County                20989.0     ...             -17.755986   \n",
       "          Washakie County              8443.0     ...             -11.637475   \n",
       "          Weston County                7065.0     ...             -11.752361   \n",
       "\n",
       "                              RDOMESTICMIG2012  RDOMESTICMIG2013  \\\n",
       "STNAME    CTYNAME                                                  \n",
       "Alabama   Autauga County             -2.915927         -3.012349   \n",
       "          Baldwin County             17.647293         21.845705   \n",
       "          Barbour County             -2.500690         -7.056824   \n",
       "          Bibb County                -5.068871         -6.201001   \n",
       "          Blount County              -1.177622         -1.748766   \n",
       "          Bullock County             -5.180127         -1.130263   \n",
       "          Butler County             -11.684234         -5.655413   \n",
       "          Calhoun County             -4.611706         -5.524649   \n",
       "          Chambers County             3.849092          2.872721   \n",
       "          Cherokee County             1.113180          5.488706   \n",
       "          Chilton County             -2.653369          0.480044   \n",
       "          Choctaw County             -0.737028         -8.766391   \n",
       "          Clarke County             -17.667705         -0.318345   \n",
       "          Clay County               -13.345130          4.902871   \n",
       "          Cleburne County            -5.151880          7.345821   \n",
       "          Coffee County               7.675579        -13.146535   \n",
       "          Colbert County              1.065051          1.762390   \n",
       "          Conecuh County             -7.504690         -6.107224   \n",
       "          Coosa County              -10.291443         -4.313831   \n",
       "          Covington County           -4.612668          0.740271   \n",
       "          Crenshaw County             3.950156         -1.864936   \n",
       "          Cullman County             -1.019628          4.071247   \n",
       "          Dale County                -5.277150        -15.236079   \n",
       "          Dallas County             -11.308243        -16.745678   \n",
       "          DeKalb County              -9.302391         -1.748807   \n",
       "          Elmore County               0.822717          1.760531   \n",
       "          Escambia County            -3.855889         -4.822706   \n",
       "          Etowah County               2.062637         -1.931884   \n",
       "          Fayette County             -0.646640         -3.725937   \n",
       "          Franklin County            -5.459394         -8.043702   \n",
       "...                                        ...               ...   \n",
       "Wisconsin Washburn County             7.338289         -6.732724   \n",
       "          Washington County           0.785279         -2.215465   \n",
       "          Waukesha County             2.128860          0.038132   \n",
       "          Waupaca County             -2.241873          6.292687   \n",
       "          Waushara County            -2.404973         -4.097017   \n",
       "          Winnebago County            2.889873          0.833819   \n",
       "          Wood County                -5.019090         -6.901200   \n",
       "Wyoming   Albany County               2.637812         -3.544634   \n",
       "          Big Horn County             2.804930         16.815908   \n",
       "          Campbell County            15.601020         -5.895711   \n",
       "          Carbon County             -13.081441          3.178134   \n",
       "          Converse County            15.493820         19.035533   \n",
       "          Crook County               -4.202564          1.397819   \n",
       "          Fremont County              7.782673         -4.990688   \n",
       "          Goshen County               3.961413         -8.079028   \n",
       "          Hot Springs County          6.208609          3.095336   \n",
       "          Johnson County             -4.058912         -0.812583   \n",
       "          Laramie County             15.547274          4.787847   \n",
       "          Lincoln County            -11.566801         13.564556   \n",
       "          Natrona County             23.066162         24.322042   \n",
       "          Niobrara County             0.806452         29.066295   \n",
       "          Park County                 8.057765          7.641997   \n",
       "          Platte County               5.392073          2.634593   \n",
       "          Sheridan County             8.425487          4.546373   \n",
       "          Sublette County            15.272374        -40.870074   \n",
       "          Sweetwater County          16.243199         -5.339774   \n",
       "          Teton County                0.972695         19.525929   \n",
       "          Uinta County               -4.916350         -6.902954   \n",
       "          Washakie County            -0.827815         -2.013502   \n",
       "          Weston County              -8.040059         12.372583   \n",
       "\n",
       "                              RDOMESTICMIG2014  RDOMESTICMIG2015  RNETMIG2011  \\\n",
       "STNAME    CTYNAME                                                               \n",
       "Alabama   Autauga County              2.265971         -2.530799     7.606016   \n",
       "          Baldwin County             19.243287         17.197872    15.844176   \n",
       "          Barbour County             -3.904217        -10.543299    -4.874741   \n",
       "          Bibb County                -0.177537          0.177258    -5.088389   \n",
       "          Blount County              -2.062535         -1.369970     1.859511   \n",
       "          Bullock County             14.354290        -16.167247   -29.001673   \n",
       "          Butler County               1.085428         -6.529805   -13.936612   \n",
       "          Calhoun County             -4.463211         -3.376322    -5.791579   \n",
       "          Chambers County            -2.287222          1.349468    -1.821092   \n",
       "          Cherokee County            -0.076806         -3.239866     6.416167   \n",
       "          Chilton County              0.456017         -2.253483    -0.823761   \n",
       "          Choctaw County             -1.274984         -5.291205   -15.528177   \n",
       "          Clarke County              -8.686428         -5.613667    -6.077488   \n",
       "          Clay County                 5.702648          3.912450   -10.816697   \n",
       "          Cleburne County             3.654485         -3.123961    -3.673524   \n",
       "          Coffee County              -3.602859          2.214774     2.166460   \n",
       "          Colbert County              1.835688         -0.110260     0.513964   \n",
       "          Conecuh County            -14.645416          2.684140    -4.861559   \n",
       "          Coosa County              -22.958017         -5.387581   -34.017138   \n",
       "          Covington County            3.697932         -0.316945     6.881460   \n",
       "          Crenshaw County             3.084648          3.439504     2.666763   \n",
       "          Cullman County              5.087142          7.915406    -1.031427   \n",
       "          Dale County               -11.979785         -5.107706    -9.575283   \n",
       "          Dallas County              -9.344789        -14.687232   -15.727573   \n",
       "          DeKalb County               0.267830          0.028141     1.375159   \n",
       "          Elmore County              -1.507057          2.067820     3.674511   \n",
       "          Escambia County            -1.189831          1.190902    -3.397716   \n",
       "          Etowah County              -1.726932         -2.082234    -0.632554   \n",
       "          Fayette County              0.296745         -2.797536    -5.132243   \n",
       "          Franklin County            -1.267849         -2.401719     0.063029   \n",
       "...                                        ...               ...          ...   \n",
       "Wisconsin Washburn County             3.510452         -5.123279    -6.747809   \n",
       "          Washington County           1.601149         -0.434498    -0.431504   \n",
       "          Waukesha County             0.760109         -0.719858     0.102448   \n",
       "          Waupaca County             -0.441031         -0.480617     3.359933   \n",
       "          Waushara County            -4.906711         -4.397793     5.174486   \n",
       "          Winnebago County           -2.406192         -4.557985     0.842573   \n",
       "          Wood County                -5.596471         -3.958322    -3.733590   \n",
       "Wyoming   Albany County              -3.334877         -9.911169     6.736119   \n",
       "          Big Horn County            -8.026420          5.095861     4.868258   \n",
       "          Campbell County            -8.550911         10.916963    -2.649606   \n",
       "          Carbon County              -2.970641        -23.300971    -7.392431   \n",
       "          Converse County           -20.550587         -0.070403   -12.774915   \n",
       "          Crook County                6.378258         18.629317    -0.982939   \n",
       "          Fremont County            -12.331633        -13.673610     3.093562   \n",
       "          Goshen County              -7.017803        -11.899450    14.886132   \n",
       "          Hot Springs County         -6.017222         -5.454164     5.191569   \n",
       "          Johnson County            -10.715742          0.933652     5.227392   \n",
       "          Laramie County             -1.226133          0.278940    -0.973320   \n",
       "          Lincoln County              6.125989          1.555544    -9.691801   \n",
       "          Natrona County             -0.958472         -0.061057     7.689674   \n",
       "          Niobrara County           -12.603387          7.492114    -0.401849   \n",
       "          Park County                -9.252437         -2.878980     6.486639   \n",
       "          Platte County               6.055759          4.662270     4.373094   \n",
       "          Sheridan County             3.678069         -3.298406     2.122524   \n",
       "          Sublette County           -16.596273        -22.870900   -21.092907   \n",
       "          Sweetwater County         -14.252889        -14.248864     1.255221   \n",
       "          Teton County               14.143021         -0.564849     0.654527   \n",
       "          Uinta County              -14.215862        -12.127022   -18.136812   \n",
       "          Washakie County           -17.781491          1.682288   -11.990126   \n",
       "          Weston County               1.533635          6.935294   -12.032179   \n",
       "\n",
       "                              RNETMIG2012  RNETMIG2013  RNETMIG2014  \\\n",
       "STNAME    CTYNAME                                                     \n",
       "Alabama   Autauga County        -2.626146    -2.722002     2.592270   \n",
       "          Baldwin County        18.559627    22.727626    20.317142   \n",
       "          Barbour County        -2.758113    -7.167664    -3.978583   \n",
       "          Bibb County           -4.363636    -5.403729     0.754533   \n",
       "          Blount County         -0.848580    -1.402476    -1.577232   \n",
       "          Bullock County        -2.825524     1.507017    17.243790   \n",
       "          Butler County        -11.586865    -5.557058     1.184103   \n",
       "          Calhoun County        -4.092677    -5.062836    -3.912834   \n",
       "          Chambers County        4.701181     3.781439    -1.290228   \n",
       "          Cherokee County        1.420264     5.757384     0.230419   \n",
       "          Chilton County        -2.447504     0.868651     0.957636   \n",
       "          Choctaw County        -0.737028    -8.766391    -1.274984   \n",
       "          Clarke County        -17.509958    -0.159172    -8.486280   \n",
       "          Clay County          -13.345130     4.977157     5.776708   \n",
       "          Cleburne County       -5.151880     7.345821     3.654485   \n",
       "          Coffee County         11.513368   -10.438741    -0.767822   \n",
       "          Colbert County         1.469035     2.276420     2.533249   \n",
       "          Conecuh County        -7.504690    -6.107224   -14.645416   \n",
       "          Coosa County         -10.380162    -4.403703   -23.049483   \n",
       "          Covington County      -4.559952     0.793147     3.750759   \n",
       "          Crenshaw County        5.099293    -0.502098     4.734577   \n",
       "          Cullman County        -0.634159     4.542916     5.593387   \n",
       "          Dale County           -0.776637   -12.640155    -9.503292   \n",
       "          Dallas County        -11.378047   -16.792849    -9.368689   \n",
       "          DeKalb County         -8.656001    -1.029539     1.198187   \n",
       "          Elmore County          1.558176     2.306047    -0.951175   \n",
       "          Escambia County       -3.803428    -4.769999    -1.136950   \n",
       "          Etowah County          2.446383    -1.518596    -1.234901   \n",
       "          Fayette County        -0.705426    -3.785079     0.237396   \n",
       "          Franklin County       -3.471291    -5.700261     1.553115   \n",
       "...                                   ...          ...          ...   \n",
       "Wisconsin Washburn County        7.464811    -6.605691     3.638104   \n",
       "          Washington County      1.162817    -1.763330     2.104796   \n",
       "          Waukesha County        3.180527     1.189727     2.077633   \n",
       "          Waupaca County        -2.011937     6.561277    -0.134227   \n",
       "          Waushara County       -2.160399    -3.810226    -4.535615   \n",
       "          Winnebago County       3.502335     1.531624    -1.545153   \n",
       "          Wood County           -4.562809    -6.442917    -5.040889   \n",
       "Wyoming   Albany County          6.433032     0.719587     1.429233   \n",
       "          Big Horn County        3.144921    17.236306    -7.608378   \n",
       "          Campbell County       15.558684    -5.916543    -8.509402   \n",
       "          Carbon County        -12.636926     3.623073    -2.338590   \n",
       "          Converse County       16.502720    20.093063   -19.358233   \n",
       "          Crook County          -3.642222     2.096729     7.071547   \n",
       "          Fremont County         8.027411    -4.747240   -12.013555   \n",
       "          Goshen County          4.841727    -6.903896    -5.761986   \n",
       "          Hot Springs County     6.001656     2.888981    -6.224712   \n",
       "          Johnson County        -4.058912    -0.812583   -10.715742   \n",
       "          Laramie County        17.914554     6.003143    -0.207819   \n",
       "          Lincoln County       -11.566801    13.619696     6.234414   \n",
       "          Natrona County        23.749508    25.085233    -0.110593   \n",
       "          Niobrara County        0.806452    29.066295   -12.603387   \n",
       "          Park County           11.127389    10.877797    -5.585731   \n",
       "          Platte County          4.933173     2.176403     5.598720   \n",
       "          Sheridan County        9.342778     5.523001     4.781489   \n",
       "          Sublette County       16.828794   -39.211861   -14.409938   \n",
       "          Sweetwater County     16.243199    -5.295460   -14.075283   \n",
       "          Teton County           2.408578    21.160658    16.308671   \n",
       "          Uinta County          -5.536861    -7.521840   -14.740608   \n",
       "          Washakie County       -1.182592    -2.250385   -18.020168   \n",
       "          Weston County         -8.040059    12.372583     1.533635   \n",
       "\n",
       "                              RNETMIG2015  \n",
       "STNAME    CTYNAME                          \n",
       "Alabama   Autauga County        -2.187333  \n",
       "          Baldwin County        18.293499  \n",
       "          Barbour County       -10.543299  \n",
       "          Bibb County            1.107861  \n",
       "          Blount County         -0.884411  \n",
       "          Bullock County       -13.193961  \n",
       "          Butler County         -6.430868  \n",
       "          Calhoun County        -2.806406  \n",
       "          Chambers County        2.346901  \n",
       "          Cherokee County       -2.931307  \n",
       "          Chilton County        -1.752709  \n",
       "          Choctaw County        -5.291205  \n",
       "          Clarke County         -5.411736  \n",
       "          Clay County            3.986270  \n",
       "          Cleburne County       -3.123961  \n",
       "          Coffee County          5.350738  \n",
       "          Colbert County         0.588052  \n",
       "          Conecuh County         2.684140  \n",
       "          Coosa County          -5.387581  \n",
       "          Covington County      -0.264121  \n",
       "          Crenshaw County        5.087600  \n",
       "          Cullman County         8.417777  \n",
       "          Dale County           -1.998668  \n",
       "          Dallas County        -14.711389  \n",
       "          DeKalb County          0.956790  \n",
       "          Elmore County          2.757093  \n",
       "          Escambia County        1.243830  \n",
       "          Etowah County         -1.588308  \n",
       "          Fayette County        -2.857058  \n",
       "          Franklin County        0.442422  \n",
       "...                                   ...  \n",
       "Wisconsin Washburn County       -4.995197  \n",
       "          Washington County      0.059931  \n",
       "          Waukesha County        0.593567  \n",
       "          Waupaca County        -0.173022  \n",
       "          Waushara County       -4.024395  \n",
       "          Winnebago County      -3.685304  \n",
       "          Wood County           -3.414223  \n",
       "Wyoming   Albany County         -5.166460  \n",
       "          Big Horn County        5.513554  \n",
       "          Campbell County       10.978525  \n",
       "          Carbon County        -22.600668  \n",
       "          Converse County        1.126443  \n",
       "          Crook County          19.309219  \n",
       "          Fremont County       -13.352750  \n",
       "          Goshen County        -10.635133  \n",
       "          Hot Springs County    -5.663940  \n",
       "          Johnson County         0.933652  \n",
       "          Laramie County         1.673640  \n",
       "          Lincoln County         1.662823  \n",
       "          Natrona County         0.793743  \n",
       "          Niobrara County        7.492114  \n",
       "          Park County            0.856839  \n",
       "          Platte County          4.207414  \n",
       "          Sheridan County       -2.198937  \n",
       "          Sublette County      -20.664059  \n",
       "          Sweetwater County    -14.070195  \n",
       "          Teton County           1.520747  \n",
       "          Uinta County         -12.606351  \n",
       "          Washakie County        1.441961  \n",
       "          Weston County          6.935294  \n",
       "\n",
       "[3142 rows x 98 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df.where(df['SUMLEV']==50)\n",
    "    .dropna()\n",
    "    .set_index(['STNAME','CTYNAME'])\n",
    "    .rename(columns={'ESTIMATESBASE2010': 'Estimates Base 2010'}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = df[df['SUMLEV']==50]\n",
    "df.set_index(['STNAME','CTYNAME'], inplace=True)\n",
    "df.rename(columns={'ESTIMATESBASE2010': 'Estimates Base 2010'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "def min_max(row):\n",
    "    data = row[['POPESTIMATE2010',\n",
    "                'POPESTIMATE2011',\n",
    "                'POPESTIMATE2012',\n",
    "                'POPESTIMATE2013',\n",
    "                'POPESTIMATE2014',\n",
    "                'POPESTIMATE2015']]\n",
    "    return pd.Series({'min': np.min(data), 'max': np.max(data)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4858979</td>\n",
       "      <td>4785161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>55347</td>\n",
       "      <td>54660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>203709</td>\n",
       "      <td>183193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>27341</td>\n",
       "      <td>26489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22861</td>\n",
       "      <td>22512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>57776</td>\n",
       "      <td>57373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10887</td>\n",
       "      <td>10606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>20944</td>\n",
       "      <td>20154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>118437</td>\n",
       "      <td>115620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>34153</td>\n",
       "      <td>33993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>26084</td>\n",
       "      <td>25859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>43943</td>\n",
       "      <td>43665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13841</td>\n",
       "      <td>13170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>25767</td>\n",
       "      <td>24675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>13880</td>\n",
       "      <td>13456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15072</td>\n",
       "      <td>14921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>51211</td>\n",
       "      <td>50177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>54514</td>\n",
       "      <td>54354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>13208</td>\n",
       "      <td>12662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>11758</td>\n",
       "      <td>10724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>38060</td>\n",
       "      <td>37796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>13963</td>\n",
       "      <td>13853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>82005</td>\n",
       "      <td>80374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>50358</td>\n",
       "      <td>49501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>43803</td>\n",
       "      <td>41131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>71387</td>\n",
       "      <td>70869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>81468</td>\n",
       "      <td>79465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>38309</td>\n",
       "      <td>37784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>104442</td>\n",
       "      <td>103057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>17231</td>\n",
       "      <td>16759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3163</th>\n",
       "      <td>133674</td>\n",
       "      <td>131967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3164</th>\n",
       "      <td>396488</td>\n",
       "      <td>390076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3165</th>\n",
       "      <td>52422</td>\n",
       "      <td>51945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3166</th>\n",
       "      <td>24581</td>\n",
       "      <td>24033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3167</th>\n",
       "      <td>169639</td>\n",
       "      <td>167059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3168</th>\n",
       "      <td>74807</td>\n",
       "      <td>73435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3169</th>\n",
       "      <td>586107</td>\n",
       "      <td>564516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3170</th>\n",
       "      <td>37956</td>\n",
       "      <td>36428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3171</th>\n",
       "      <td>12022</td>\n",
       "      <td>11672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3172</th>\n",
       "      <td>49220</td>\n",
       "      <td>46244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3173</th>\n",
       "      <td>15856</td>\n",
       "      <td>15559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3174</th>\n",
       "      <td>14343</td>\n",
       "      <td>13728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3175</th>\n",
       "      <td>7444</td>\n",
       "      <td>7114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3176</th>\n",
       "      <td>41129</td>\n",
       "      <td>40222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3177</th>\n",
       "      <td>13666</td>\n",
       "      <td>13383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3178</th>\n",
       "      <td>4846</td>\n",
       "      <td>4741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3179</th>\n",
       "      <td>8636</td>\n",
       "      <td>8552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3180</th>\n",
       "      <td>97121</td>\n",
       "      <td>92271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3181</th>\n",
       "      <td>18722</td>\n",
       "      <td>17943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3182</th>\n",
       "      <td>82178</td>\n",
       "      <td>75472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3183</th>\n",
       "      <td>2548</td>\n",
       "      <td>2475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3184</th>\n",
       "      <td>29237</td>\n",
       "      <td>28259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3185</th>\n",
       "      <td>8812</td>\n",
       "      <td>8678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3186</th>\n",
       "      <td>30020</td>\n",
       "      <td>29146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3187</th>\n",
       "      <td>10418</td>\n",
       "      <td>9899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3188</th>\n",
       "      <td>45162</td>\n",
       "      <td>43593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3189</th>\n",
       "      <td>23125</td>\n",
       "      <td>21297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3190</th>\n",
       "      <td>21102</td>\n",
       "      <td>20822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3191</th>\n",
       "      <td>8545</td>\n",
       "      <td>8316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3192</th>\n",
       "      <td>7234</td>\n",
       "      <td>7065</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3193 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          max      min\n",
       "0     4858979  4785161\n",
       "1       55347    54660\n",
       "2      203709   183193\n",
       "3       27341    26489\n",
       "4       22861    22512\n",
       "5       57776    57373\n",
       "6       10887    10606\n",
       "7       20944    20154\n",
       "8      118437   115620\n",
       "9       34153    33993\n",
       "10      26084    25859\n",
       "11      43943    43665\n",
       "12      13841    13170\n",
       "13      25767    24675\n",
       "14      13880    13456\n",
       "15      15072    14921\n",
       "16      51211    50177\n",
       "17      54514    54354\n",
       "18      13208    12662\n",
       "19      11758    10724\n",
       "20      38060    37796\n",
       "21      13963    13853\n",
       "22      82005    80374\n",
       "23      50358    49501\n",
       "24      43803    41131\n",
       "25      71387    70869\n",
       "26      81468    79465\n",
       "27      38309    37784\n",
       "28     104442   103057\n",
       "29      17231    16759\n",
       "...       ...      ...\n",
       "3163   133674   131967\n",
       "3164   396488   390076\n",
       "3165    52422    51945\n",
       "3166    24581    24033\n",
       "3167   169639   167059\n",
       "3168    74807    73435\n",
       "3169   586107   564516\n",
       "3170    37956    36428\n",
       "3171    12022    11672\n",
       "3172    49220    46244\n",
       "3173    15856    15559\n",
       "3174    14343    13728\n",
       "3175     7444     7114\n",
       "3176    41129    40222\n",
       "3177    13666    13383\n",
       "3178     4846     4741\n",
       "3179     8636     8552\n",
       "3180    97121    92271\n",
       "3181    18722    17943\n",
       "3182    82178    75472\n",
       "3183     2548     2475\n",
       "3184    29237    28259\n",
       "3185     8812     8678\n",
       "3186    30020    29146\n",
       "3187    10418     9899\n",
       "3188    45162    43593\n",
       "3189    23125    21297\n",
       "3190    21102    20822\n",
       "3191     8545     8316\n",
       "3192     7234     7065\n",
       "\n",
       "[3193 rows x 2 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.apply(min_max, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SUMLEV</th>\n",
       "      <th>REGION</th>\n",
       "      <th>DIVISION</th>\n",
       "      <th>STATE</th>\n",
       "      <th>COUNTY</th>\n",
       "      <th>STNAME</th>\n",
       "      <th>CTYNAME</th>\n",
       "      <th>CENSUS2010POP</th>\n",
       "      <th>ESTIMATESBASE2010</th>\n",
       "      <th>POPESTIMATE2010</th>\n",
       "      <th>...</th>\n",
       "      <th>RDOMESTICMIG2013</th>\n",
       "      <th>RDOMESTICMIG2014</th>\n",
       "      <th>RDOMESTICMIG2015</th>\n",
       "      <th>RNETMIG2011</th>\n",
       "      <th>RNETMIG2012</th>\n",
       "      <th>RNETMIG2013</th>\n",
       "      <th>RNETMIG2014</th>\n",
       "      <th>RNETMIG2015</th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4779736</td>\n",
       "      <td>4780127</td>\n",
       "      <td>4785161</td>\n",
       "      <td>...</td>\n",
       "      <td>0.381066</td>\n",
       "      <td>0.582002</td>\n",
       "      <td>-0.467369</td>\n",
       "      <td>1.030015</td>\n",
       "      <td>0.826644</td>\n",
       "      <td>1.383282</td>\n",
       "      <td>1.724718</td>\n",
       "      <td>0.712594</td>\n",
       "      <td>4858979</td>\n",
       "      <td>4785161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Autauga County</td>\n",
       "      <td>54571</td>\n",
       "      <td>54571</td>\n",
       "      <td>54660</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.012349</td>\n",
       "      <td>2.265971</td>\n",
       "      <td>-2.530799</td>\n",
       "      <td>7.606016</td>\n",
       "      <td>-2.626146</td>\n",
       "      <td>-2.722002</td>\n",
       "      <td>2.592270</td>\n",
       "      <td>-2.187333</td>\n",
       "      <td>55347</td>\n",
       "      <td>54660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Baldwin County</td>\n",
       "      <td>182265</td>\n",
       "      <td>182265</td>\n",
       "      <td>183193</td>\n",
       "      <td>...</td>\n",
       "      <td>21.845705</td>\n",
       "      <td>19.243287</td>\n",
       "      <td>17.197872</td>\n",
       "      <td>15.844176</td>\n",
       "      <td>18.559627</td>\n",
       "      <td>22.727626</td>\n",
       "      <td>20.317142</td>\n",
       "      <td>18.293499</td>\n",
       "      <td>203709</td>\n",
       "      <td>183193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Barbour County</td>\n",
       "      <td>27457</td>\n",
       "      <td>27457</td>\n",
       "      <td>27341</td>\n",
       "      <td>...</td>\n",
       "      <td>-7.056824</td>\n",
       "      <td>-3.904217</td>\n",
       "      <td>-10.543299</td>\n",
       "      <td>-4.874741</td>\n",
       "      <td>-2.758113</td>\n",
       "      <td>-7.167664</td>\n",
       "      <td>-3.978583</td>\n",
       "      <td>-10.543299</td>\n",
       "      <td>27341</td>\n",
       "      <td>26489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Bibb County</td>\n",
       "      <td>22915</td>\n",
       "      <td>22919</td>\n",
       "      <td>22861</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.201001</td>\n",
       "      <td>-0.177537</td>\n",
       "      <td>0.177258</td>\n",
       "      <td>-5.088389</td>\n",
       "      <td>-4.363636</td>\n",
       "      <td>-5.403729</td>\n",
       "      <td>0.754533</td>\n",
       "      <td>1.107861</td>\n",
       "      <td>22861</td>\n",
       "      <td>22512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Blount County</td>\n",
       "      <td>57322</td>\n",
       "      <td>57322</td>\n",
       "      <td>57373</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.748766</td>\n",
       "      <td>-2.062535</td>\n",
       "      <td>-1.369970</td>\n",
       "      <td>1.859511</td>\n",
       "      <td>-0.848580</td>\n",
       "      <td>-1.402476</td>\n",
       "      <td>-1.577232</td>\n",
       "      <td>-0.884411</td>\n",
       "      <td>57776</td>\n",
       "      <td>57373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Bullock County</td>\n",
       "      <td>10914</td>\n",
       "      <td>10915</td>\n",
       "      <td>10887</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.130263</td>\n",
       "      <td>14.354290</td>\n",
       "      <td>-16.167247</td>\n",
       "      <td>-29.001673</td>\n",
       "      <td>-2.825524</td>\n",
       "      <td>1.507017</td>\n",
       "      <td>17.243790</td>\n",
       "      <td>-13.193961</td>\n",
       "      <td>10887</td>\n",
       "      <td>10606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Butler County</td>\n",
       "      <td>20947</td>\n",
       "      <td>20946</td>\n",
       "      <td>20944</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.655413</td>\n",
       "      <td>1.085428</td>\n",
       "      <td>-6.529805</td>\n",
       "      <td>-13.936612</td>\n",
       "      <td>-11.586865</td>\n",
       "      <td>-5.557058</td>\n",
       "      <td>1.184103</td>\n",
       "      <td>-6.430868</td>\n",
       "      <td>20944</td>\n",
       "      <td>20154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Calhoun County</td>\n",
       "      <td>118572</td>\n",
       "      <td>118586</td>\n",
       "      <td>118437</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.524649</td>\n",
       "      <td>-4.463211</td>\n",
       "      <td>-3.376322</td>\n",
       "      <td>-5.791579</td>\n",
       "      <td>-4.092677</td>\n",
       "      <td>-5.062836</td>\n",
       "      <td>-3.912834</td>\n",
       "      <td>-2.806406</td>\n",
       "      <td>118437</td>\n",
       "      <td>115620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Chambers County</td>\n",
       "      <td>34215</td>\n",
       "      <td>34170</td>\n",
       "      <td>34098</td>\n",
       "      <td>...</td>\n",
       "      <td>2.872721</td>\n",
       "      <td>-2.287222</td>\n",
       "      <td>1.349468</td>\n",
       "      <td>-1.821092</td>\n",
       "      <td>4.701181</td>\n",
       "      <td>3.781439</td>\n",
       "      <td>-1.290228</td>\n",
       "      <td>2.346901</td>\n",
       "      <td>34153</td>\n",
       "      <td>33993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Cherokee County</td>\n",
       "      <td>25989</td>\n",
       "      <td>25986</td>\n",
       "      <td>25976</td>\n",
       "      <td>...</td>\n",
       "      <td>5.488706</td>\n",
       "      <td>-0.076806</td>\n",
       "      <td>-3.239866</td>\n",
       "      <td>6.416167</td>\n",
       "      <td>1.420264</td>\n",
       "      <td>5.757384</td>\n",
       "      <td>0.230419</td>\n",
       "      <td>-2.931307</td>\n",
       "      <td>26084</td>\n",
       "      <td>25859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Chilton County</td>\n",
       "      <td>43643</td>\n",
       "      <td>43631</td>\n",
       "      <td>43665</td>\n",
       "      <td>...</td>\n",
       "      <td>0.480044</td>\n",
       "      <td>0.456017</td>\n",
       "      <td>-2.253483</td>\n",
       "      <td>-0.823761</td>\n",
       "      <td>-2.447504</td>\n",
       "      <td>0.868651</td>\n",
       "      <td>0.957636</td>\n",
       "      <td>-1.752709</td>\n",
       "      <td>43943</td>\n",
       "      <td>43665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Choctaw County</td>\n",
       "      <td>13859</td>\n",
       "      <td>13858</td>\n",
       "      <td>13841</td>\n",
       "      <td>...</td>\n",
       "      <td>-8.766391</td>\n",
       "      <td>-1.274984</td>\n",
       "      <td>-5.291205</td>\n",
       "      <td>-15.528177</td>\n",
       "      <td>-0.737028</td>\n",
       "      <td>-8.766391</td>\n",
       "      <td>-1.274984</td>\n",
       "      <td>-5.291205</td>\n",
       "      <td>13841</td>\n",
       "      <td>13170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Clarke County</td>\n",
       "      <td>25833</td>\n",
       "      <td>25840</td>\n",
       "      <td>25767</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.318345</td>\n",
       "      <td>-8.686428</td>\n",
       "      <td>-5.613667</td>\n",
       "      <td>-6.077488</td>\n",
       "      <td>-17.509958</td>\n",
       "      <td>-0.159172</td>\n",
       "      <td>-8.486280</td>\n",
       "      <td>-5.411736</td>\n",
       "      <td>25767</td>\n",
       "      <td>24675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Clay County</td>\n",
       "      <td>13932</td>\n",
       "      <td>13932</td>\n",
       "      <td>13880</td>\n",
       "      <td>...</td>\n",
       "      <td>4.902871</td>\n",
       "      <td>5.702648</td>\n",
       "      <td>3.912450</td>\n",
       "      <td>-10.816697</td>\n",
       "      <td>-13.345130</td>\n",
       "      <td>4.977157</td>\n",
       "      <td>5.776708</td>\n",
       "      <td>3.986270</td>\n",
       "      <td>13880</td>\n",
       "      <td>13456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Cleburne County</td>\n",
       "      <td>14972</td>\n",
       "      <td>14972</td>\n",
       "      <td>14973</td>\n",
       "      <td>...</td>\n",
       "      <td>7.345821</td>\n",
       "      <td>3.654485</td>\n",
       "      <td>-3.123961</td>\n",
       "      <td>-3.673524</td>\n",
       "      <td>-5.151880</td>\n",
       "      <td>7.345821</td>\n",
       "      <td>3.654485</td>\n",
       "      <td>-3.123961</td>\n",
       "      <td>15072</td>\n",
       "      <td>14921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Coffee County</td>\n",
       "      <td>49948</td>\n",
       "      <td>49948</td>\n",
       "      <td>50177</td>\n",
       "      <td>...</td>\n",
       "      <td>-13.146535</td>\n",
       "      <td>-3.602859</td>\n",
       "      <td>2.214774</td>\n",
       "      <td>2.166460</td>\n",
       "      <td>11.513368</td>\n",
       "      <td>-10.438741</td>\n",
       "      <td>-0.767822</td>\n",
       "      <td>5.350738</td>\n",
       "      <td>51211</td>\n",
       "      <td>50177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>33</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Colbert County</td>\n",
       "      <td>54428</td>\n",
       "      <td>54428</td>\n",
       "      <td>54514</td>\n",
       "      <td>...</td>\n",
       "      <td>1.762390</td>\n",
       "      <td>1.835688</td>\n",
       "      <td>-0.110260</td>\n",
       "      <td>0.513964</td>\n",
       "      <td>1.469035</td>\n",
       "      <td>2.276420</td>\n",
       "      <td>2.533249</td>\n",
       "      <td>0.588052</td>\n",
       "      <td>54514</td>\n",
       "      <td>54354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>35</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Conecuh County</td>\n",
       "      <td>13228</td>\n",
       "      <td>13228</td>\n",
       "      <td>13208</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.107224</td>\n",
       "      <td>-14.645416</td>\n",
       "      <td>2.684140</td>\n",
       "      <td>-4.861559</td>\n",
       "      <td>-7.504690</td>\n",
       "      <td>-6.107224</td>\n",
       "      <td>-14.645416</td>\n",
       "      <td>2.684140</td>\n",
       "      <td>13208</td>\n",
       "      <td>12662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Coosa County</td>\n",
       "      <td>11539</td>\n",
       "      <td>11758</td>\n",
       "      <td>11758</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.313831</td>\n",
       "      <td>-22.958017</td>\n",
       "      <td>-5.387581</td>\n",
       "      <td>-34.017138</td>\n",
       "      <td>-10.380162</td>\n",
       "      <td>-4.403703</td>\n",
       "      <td>-23.049483</td>\n",
       "      <td>-5.387581</td>\n",
       "      <td>11758</td>\n",
       "      <td>10724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>39</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Covington County</td>\n",
       "      <td>37765</td>\n",
       "      <td>37765</td>\n",
       "      <td>37796</td>\n",
       "      <td>...</td>\n",
       "      <td>0.740271</td>\n",
       "      <td>3.697932</td>\n",
       "      <td>-0.316945</td>\n",
       "      <td>6.881460</td>\n",
       "      <td>-4.559952</td>\n",
       "      <td>0.793147</td>\n",
       "      <td>3.750759</td>\n",
       "      <td>-0.264121</td>\n",
       "      <td>38060</td>\n",
       "      <td>37796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>41</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Crenshaw County</td>\n",
       "      <td>13906</td>\n",
       "      <td>13906</td>\n",
       "      <td>13853</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.864936</td>\n",
       "      <td>3.084648</td>\n",
       "      <td>3.439504</td>\n",
       "      <td>2.666763</td>\n",
       "      <td>5.099293</td>\n",
       "      <td>-0.502098</td>\n",
       "      <td>4.734577</td>\n",
       "      <td>5.087600</td>\n",
       "      <td>13963</td>\n",
       "      <td>13853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>43</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Cullman County</td>\n",
       "      <td>80406</td>\n",
       "      <td>80410</td>\n",
       "      <td>80473</td>\n",
       "      <td>...</td>\n",
       "      <td>4.071247</td>\n",
       "      <td>5.087142</td>\n",
       "      <td>7.915406</td>\n",
       "      <td>-1.031427</td>\n",
       "      <td>-0.634159</td>\n",
       "      <td>4.542916</td>\n",
       "      <td>5.593387</td>\n",
       "      <td>8.417777</td>\n",
       "      <td>82005</td>\n",
       "      <td>80374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Dale County</td>\n",
       "      <td>50251</td>\n",
       "      <td>50251</td>\n",
       "      <td>50358</td>\n",
       "      <td>...</td>\n",
       "      <td>-15.236079</td>\n",
       "      <td>-11.979785</td>\n",
       "      <td>-5.107706</td>\n",
       "      <td>-9.575283</td>\n",
       "      <td>-0.776637</td>\n",
       "      <td>-12.640155</td>\n",
       "      <td>-9.503292</td>\n",
       "      <td>-1.998668</td>\n",
       "      <td>50358</td>\n",
       "      <td>49501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>47</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Dallas County</td>\n",
       "      <td>43820</td>\n",
       "      <td>43820</td>\n",
       "      <td>43803</td>\n",
       "      <td>...</td>\n",
       "      <td>-16.745678</td>\n",
       "      <td>-9.344789</td>\n",
       "      <td>-14.687232</td>\n",
       "      <td>-15.727573</td>\n",
       "      <td>-11.378047</td>\n",
       "      <td>-16.792849</td>\n",
       "      <td>-9.368689</td>\n",
       "      <td>-14.711389</td>\n",
       "      <td>43803</td>\n",
       "      <td>41131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>49</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>DeKalb County</td>\n",
       "      <td>71109</td>\n",
       "      <td>71115</td>\n",
       "      <td>71142</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.748807</td>\n",
       "      <td>0.267830</td>\n",
       "      <td>0.028141</td>\n",
       "      <td>1.375159</td>\n",
       "      <td>-8.656001</td>\n",
       "      <td>-1.029539</td>\n",
       "      <td>1.198187</td>\n",
       "      <td>0.956790</td>\n",
       "      <td>71387</td>\n",
       "      <td>70869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>51</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Elmore County</td>\n",
       "      <td>79303</td>\n",
       "      <td>79296</td>\n",
       "      <td>79465</td>\n",
       "      <td>...</td>\n",
       "      <td>1.760531</td>\n",
       "      <td>-1.507057</td>\n",
       "      <td>2.067820</td>\n",
       "      <td>3.674511</td>\n",
       "      <td>1.558176</td>\n",
       "      <td>2.306047</td>\n",
       "      <td>-0.951175</td>\n",
       "      <td>2.757093</td>\n",
       "      <td>81468</td>\n",
       "      <td>79465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>53</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Escambia County</td>\n",
       "      <td>38319</td>\n",
       "      <td>38319</td>\n",
       "      <td>38309</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.822706</td>\n",
       "      <td>-1.189831</td>\n",
       "      <td>1.190902</td>\n",
       "      <td>-3.397716</td>\n",
       "      <td>-3.803428</td>\n",
       "      <td>-4.769999</td>\n",
       "      <td>-1.136950</td>\n",
       "      <td>1.243830</td>\n",
       "      <td>38309</td>\n",
       "      <td>37784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>55</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Etowah County</td>\n",
       "      <td>104430</td>\n",
       "      <td>104427</td>\n",
       "      <td>104442</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.931884</td>\n",
       "      <td>-1.726932</td>\n",
       "      <td>-2.082234</td>\n",
       "      <td>-0.632554</td>\n",
       "      <td>2.446383</td>\n",
       "      <td>-1.518596</td>\n",
       "      <td>-1.234901</td>\n",
       "      <td>-1.588308</td>\n",
       "      <td>104442</td>\n",
       "      <td>103057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>57</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Fayette County</td>\n",
       "      <td>17241</td>\n",
       "      <td>17241</td>\n",
       "      <td>17231</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.725937</td>\n",
       "      <td>0.296745</td>\n",
       "      <td>-2.797536</td>\n",
       "      <td>-5.132243</td>\n",
       "      <td>-0.705426</td>\n",
       "      <td>-3.785079</td>\n",
       "      <td>0.237396</td>\n",
       "      <td>-2.857058</td>\n",
       "      <td>17231</td>\n",
       "      <td>16759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3163</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>131</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Washington County</td>\n",
       "      <td>131887</td>\n",
       "      <td>131885</td>\n",
       "      <td>131967</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.215465</td>\n",
       "      <td>1.601149</td>\n",
       "      <td>-0.434498</td>\n",
       "      <td>-0.431504</td>\n",
       "      <td>1.162817</td>\n",
       "      <td>-1.763330</td>\n",
       "      <td>2.104796</td>\n",
       "      <td>0.059931</td>\n",
       "      <td>133674</td>\n",
       "      <td>131967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3164</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>133</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Waukesha County</td>\n",
       "      <td>389891</td>\n",
       "      <td>389938</td>\n",
       "      <td>390076</td>\n",
       "      <td>...</td>\n",
       "      <td>0.038132</td>\n",
       "      <td>0.760109</td>\n",
       "      <td>-0.719858</td>\n",
       "      <td>0.102448</td>\n",
       "      <td>3.180527</td>\n",
       "      <td>1.189727</td>\n",
       "      <td>2.077633</td>\n",
       "      <td>0.593567</td>\n",
       "      <td>396488</td>\n",
       "      <td>390076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3165</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>135</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Waupaca County</td>\n",
       "      <td>52410</td>\n",
       "      <td>52410</td>\n",
       "      <td>52422</td>\n",
       "      <td>...</td>\n",
       "      <td>6.292687</td>\n",
       "      <td>-0.441031</td>\n",
       "      <td>-0.480617</td>\n",
       "      <td>3.359933</td>\n",
       "      <td>-2.011937</td>\n",
       "      <td>6.561277</td>\n",
       "      <td>-0.134227</td>\n",
       "      <td>-0.173022</td>\n",
       "      <td>52422</td>\n",
       "      <td>51945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3166</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>137</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Waushara County</td>\n",
       "      <td>24496</td>\n",
       "      <td>24496</td>\n",
       "      <td>24506</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.097017</td>\n",
       "      <td>-4.906711</td>\n",
       "      <td>-4.397793</td>\n",
       "      <td>5.174486</td>\n",
       "      <td>-2.160399</td>\n",
       "      <td>-3.810226</td>\n",
       "      <td>-4.535615</td>\n",
       "      <td>-4.024395</td>\n",
       "      <td>24581</td>\n",
       "      <td>24033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3167</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>139</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Winnebago County</td>\n",
       "      <td>166994</td>\n",
       "      <td>166994</td>\n",
       "      <td>167059</td>\n",
       "      <td>...</td>\n",
       "      <td>0.833819</td>\n",
       "      <td>-2.406192</td>\n",
       "      <td>-4.557985</td>\n",
       "      <td>0.842573</td>\n",
       "      <td>3.502335</td>\n",
       "      <td>1.531624</td>\n",
       "      <td>-1.545153</td>\n",
       "      <td>-3.685304</td>\n",
       "      <td>169639</td>\n",
       "      <td>167059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3168</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>141</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Wood County</td>\n",
       "      <td>74749</td>\n",
       "      <td>74749</td>\n",
       "      <td>74807</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.901200</td>\n",
       "      <td>-5.596471</td>\n",
       "      <td>-3.958322</td>\n",
       "      <td>-3.733590</td>\n",
       "      <td>-4.562809</td>\n",
       "      <td>-6.442917</td>\n",
       "      <td>-5.040889</td>\n",
       "      <td>-3.414223</td>\n",
       "      <td>74807</td>\n",
       "      <td>73435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3169</th>\n",
       "      <td>40</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>563626</td>\n",
       "      <td>563767</td>\n",
       "      <td>564516</td>\n",
       "      <td>...</td>\n",
       "      <td>4.487115</td>\n",
       "      <td>-4.788275</td>\n",
       "      <td>-3.221091</td>\n",
       "      <td>0.289680</td>\n",
       "      <td>10.694870</td>\n",
       "      <td>5.440390</td>\n",
       "      <td>-3.727831</td>\n",
       "      <td>-2.091573</td>\n",
       "      <td>586107</td>\n",
       "      <td>564516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3170</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Albany County</td>\n",
       "      <td>36299</td>\n",
       "      <td>36299</td>\n",
       "      <td>36428</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.544634</td>\n",
       "      <td>-3.334877</td>\n",
       "      <td>-9.911169</td>\n",
       "      <td>6.736119</td>\n",
       "      <td>6.433032</td>\n",
       "      <td>0.719587</td>\n",
       "      <td>1.429233</td>\n",
       "      <td>-5.166460</td>\n",
       "      <td>37956</td>\n",
       "      <td>36428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3171</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>3</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Big Horn County</td>\n",
       "      <td>11668</td>\n",
       "      <td>11668</td>\n",
       "      <td>11672</td>\n",
       "      <td>...</td>\n",
       "      <td>16.815908</td>\n",
       "      <td>-8.026420</td>\n",
       "      <td>5.095861</td>\n",
       "      <td>4.868258</td>\n",
       "      <td>3.144921</td>\n",
       "      <td>17.236306</td>\n",
       "      <td>-7.608378</td>\n",
       "      <td>5.513554</td>\n",
       "      <td>12022</td>\n",
       "      <td>11672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3172</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>5</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Campbell County</td>\n",
       "      <td>46133</td>\n",
       "      <td>46133</td>\n",
       "      <td>46244</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.895711</td>\n",
       "      <td>-8.550911</td>\n",
       "      <td>10.916963</td>\n",
       "      <td>-2.649606</td>\n",
       "      <td>15.558684</td>\n",
       "      <td>-5.916543</td>\n",
       "      <td>-8.509402</td>\n",
       "      <td>10.978525</td>\n",
       "      <td>49220</td>\n",
       "      <td>46244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3173</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>7</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Carbon County</td>\n",
       "      <td>15885</td>\n",
       "      <td>15885</td>\n",
       "      <td>15837</td>\n",
       "      <td>...</td>\n",
       "      <td>3.178134</td>\n",
       "      <td>-2.970641</td>\n",
       "      <td>-23.300971</td>\n",
       "      <td>-7.392431</td>\n",
       "      <td>-12.636926</td>\n",
       "      <td>3.623073</td>\n",
       "      <td>-2.338590</td>\n",
       "      <td>-22.600668</td>\n",
       "      <td>15856</td>\n",
       "      <td>15559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3174</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>9</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Converse County</td>\n",
       "      <td>13833</td>\n",
       "      <td>13833</td>\n",
       "      <td>13826</td>\n",
       "      <td>...</td>\n",
       "      <td>19.035533</td>\n",
       "      <td>-20.550587</td>\n",
       "      <td>-0.070403</td>\n",
       "      <td>-12.774915</td>\n",
       "      <td>16.502720</td>\n",
       "      <td>20.093063</td>\n",
       "      <td>-19.358233</td>\n",
       "      <td>1.126443</td>\n",
       "      <td>14343</td>\n",
       "      <td>13728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3175</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>11</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Crook County</td>\n",
       "      <td>7083</td>\n",
       "      <td>7083</td>\n",
       "      <td>7114</td>\n",
       "      <td>...</td>\n",
       "      <td>1.397819</td>\n",
       "      <td>6.378258</td>\n",
       "      <td>18.629317</td>\n",
       "      <td>-0.982939</td>\n",
       "      <td>-3.642222</td>\n",
       "      <td>2.096729</td>\n",
       "      <td>7.071547</td>\n",
       "      <td>19.309219</td>\n",
       "      <td>7444</td>\n",
       "      <td>7114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3176</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>13</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Fremont County</td>\n",
       "      <td>40123</td>\n",
       "      <td>40123</td>\n",
       "      <td>40222</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.990688</td>\n",
       "      <td>-12.331633</td>\n",
       "      <td>-13.673610</td>\n",
       "      <td>3.093562</td>\n",
       "      <td>8.027411</td>\n",
       "      <td>-4.747240</td>\n",
       "      <td>-12.013555</td>\n",
       "      <td>-13.352750</td>\n",
       "      <td>41129</td>\n",
       "      <td>40222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3177</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>15</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Goshen County</td>\n",
       "      <td>13249</td>\n",
       "      <td>13247</td>\n",
       "      <td>13408</td>\n",
       "      <td>...</td>\n",
       "      <td>-8.079028</td>\n",
       "      <td>-7.017803</td>\n",
       "      <td>-11.899450</td>\n",
       "      <td>14.886132</td>\n",
       "      <td>4.841727</td>\n",
       "      <td>-6.903896</td>\n",
       "      <td>-5.761986</td>\n",
       "      <td>-10.635133</td>\n",
       "      <td>13666</td>\n",
       "      <td>13383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3178</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>17</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Hot Springs County</td>\n",
       "      <td>4812</td>\n",
       "      <td>4812</td>\n",
       "      <td>4813</td>\n",
       "      <td>...</td>\n",
       "      <td>3.095336</td>\n",
       "      <td>-6.017222</td>\n",
       "      <td>-5.454164</td>\n",
       "      <td>5.191569</td>\n",
       "      <td>6.001656</td>\n",
       "      <td>2.888981</td>\n",
       "      <td>-6.224712</td>\n",
       "      <td>-5.663940</td>\n",
       "      <td>4846</td>\n",
       "      <td>4741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3179</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>19</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Johnson County</td>\n",
       "      <td>8569</td>\n",
       "      <td>8569</td>\n",
       "      <td>8581</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.812583</td>\n",
       "      <td>-10.715742</td>\n",
       "      <td>0.933652</td>\n",
       "      <td>5.227392</td>\n",
       "      <td>-4.058912</td>\n",
       "      <td>-0.812583</td>\n",
       "      <td>-10.715742</td>\n",
       "      <td>0.933652</td>\n",
       "      <td>8636</td>\n",
       "      <td>8552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3180</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>21</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Laramie County</td>\n",
       "      <td>91738</td>\n",
       "      <td>91881</td>\n",
       "      <td>92271</td>\n",
       "      <td>...</td>\n",
       "      <td>4.787847</td>\n",
       "      <td>-1.226133</td>\n",
       "      <td>0.278940</td>\n",
       "      <td>-0.973320</td>\n",
       "      <td>17.914554</td>\n",
       "      <td>6.003143</td>\n",
       "      <td>-0.207819</td>\n",
       "      <td>1.673640</td>\n",
       "      <td>97121</td>\n",
       "      <td>92271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3181</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>23</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Lincoln County</td>\n",
       "      <td>18106</td>\n",
       "      <td>18106</td>\n",
       "      <td>18091</td>\n",
       "      <td>...</td>\n",
       "      <td>13.564556</td>\n",
       "      <td>6.125989</td>\n",
       "      <td>1.555544</td>\n",
       "      <td>-9.691801</td>\n",
       "      <td>-11.566801</td>\n",
       "      <td>13.619696</td>\n",
       "      <td>6.234414</td>\n",
       "      <td>1.662823</td>\n",
       "      <td>18722</td>\n",
       "      <td>17943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3182</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>25</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Natrona County</td>\n",
       "      <td>75450</td>\n",
       "      <td>75450</td>\n",
       "      <td>75472</td>\n",
       "      <td>...</td>\n",
       "      <td>24.322042</td>\n",
       "      <td>-0.958472</td>\n",
       "      <td>-0.061057</td>\n",
       "      <td>7.689674</td>\n",
       "      <td>23.749508</td>\n",
       "      <td>25.085233</td>\n",
       "      <td>-0.110593</td>\n",
       "      <td>0.793743</td>\n",
       "      <td>82178</td>\n",
       "      <td>75472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3183</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>27</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Niobrara County</td>\n",
       "      <td>2484</td>\n",
       "      <td>2484</td>\n",
       "      <td>2492</td>\n",
       "      <td>...</td>\n",
       "      <td>29.066295</td>\n",
       "      <td>-12.603387</td>\n",
       "      <td>7.492114</td>\n",
       "      <td>-0.401849</td>\n",
       "      <td>0.806452</td>\n",
       "      <td>29.066295</td>\n",
       "      <td>-12.603387</td>\n",
       "      <td>7.492114</td>\n",
       "      <td>2548</td>\n",
       "      <td>2475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3184</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>29</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Park County</td>\n",
       "      <td>28205</td>\n",
       "      <td>28205</td>\n",
       "      <td>28259</td>\n",
       "      <td>...</td>\n",
       "      <td>7.641997</td>\n",
       "      <td>-9.252437</td>\n",
       "      <td>-2.878980</td>\n",
       "      <td>6.486639</td>\n",
       "      <td>11.127389</td>\n",
       "      <td>10.877797</td>\n",
       "      <td>-5.585731</td>\n",
       "      <td>0.856839</td>\n",
       "      <td>29237</td>\n",
       "      <td>28259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3185</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>31</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Platte County</td>\n",
       "      <td>8667</td>\n",
       "      <td>8667</td>\n",
       "      <td>8678</td>\n",
       "      <td>...</td>\n",
       "      <td>2.634593</td>\n",
       "      <td>6.055759</td>\n",
       "      <td>4.662270</td>\n",
       "      <td>4.373094</td>\n",
       "      <td>4.933173</td>\n",
       "      <td>2.176403</td>\n",
       "      <td>5.598720</td>\n",
       "      <td>4.207414</td>\n",
       "      <td>8812</td>\n",
       "      <td>8678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3186</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>33</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Sheridan County</td>\n",
       "      <td>29116</td>\n",
       "      <td>29116</td>\n",
       "      <td>29146</td>\n",
       "      <td>...</td>\n",
       "      <td>4.546373</td>\n",
       "      <td>3.678069</td>\n",
       "      <td>-3.298406</td>\n",
       "      <td>2.122524</td>\n",
       "      <td>9.342778</td>\n",
       "      <td>5.523001</td>\n",
       "      <td>4.781489</td>\n",
       "      <td>-2.198937</td>\n",
       "      <td>30020</td>\n",
       "      <td>29146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3187</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>35</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Sublette County</td>\n",
       "      <td>10247</td>\n",
       "      <td>10247</td>\n",
       "      <td>10244</td>\n",
       "      <td>...</td>\n",
       "      <td>-40.870074</td>\n",
       "      <td>-16.596273</td>\n",
       "      <td>-22.870900</td>\n",
       "      <td>-21.092907</td>\n",
       "      <td>16.828794</td>\n",
       "      <td>-39.211861</td>\n",
       "      <td>-14.409938</td>\n",
       "      <td>-20.664059</td>\n",
       "      <td>10418</td>\n",
       "      <td>9899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3188</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>37</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Sweetwater County</td>\n",
       "      <td>43806</td>\n",
       "      <td>43806</td>\n",
       "      <td>43593</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.339774</td>\n",
       "      <td>-14.252889</td>\n",
       "      <td>-14.248864</td>\n",
       "      <td>1.255221</td>\n",
       "      <td>16.243199</td>\n",
       "      <td>-5.295460</td>\n",
       "      <td>-14.075283</td>\n",
       "      <td>-14.070195</td>\n",
       "      <td>45162</td>\n",
       "      <td>43593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3189</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>39</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Teton County</td>\n",
       "      <td>21294</td>\n",
       "      <td>21294</td>\n",
       "      <td>21297</td>\n",
       "      <td>...</td>\n",
       "      <td>19.525929</td>\n",
       "      <td>14.143021</td>\n",
       "      <td>-0.564849</td>\n",
       "      <td>0.654527</td>\n",
       "      <td>2.408578</td>\n",
       "      <td>21.160658</td>\n",
       "      <td>16.308671</td>\n",
       "      <td>1.520747</td>\n",
       "      <td>23125</td>\n",
       "      <td>21297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3190</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>41</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Uinta County</td>\n",
       "      <td>21118</td>\n",
       "      <td>21118</td>\n",
       "      <td>21102</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.902954</td>\n",
       "      <td>-14.215862</td>\n",
       "      <td>-12.127022</td>\n",
       "      <td>-18.136812</td>\n",
       "      <td>-5.536861</td>\n",
       "      <td>-7.521840</td>\n",
       "      <td>-14.740608</td>\n",
       "      <td>-12.606351</td>\n",
       "      <td>21102</td>\n",
       "      <td>20822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3191</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>43</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Washakie County</td>\n",
       "      <td>8533</td>\n",
       "      <td>8533</td>\n",
       "      <td>8545</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.013502</td>\n",
       "      <td>-17.781491</td>\n",
       "      <td>1.682288</td>\n",
       "      <td>-11.990126</td>\n",
       "      <td>-1.182592</td>\n",
       "      <td>-2.250385</td>\n",
       "      <td>-18.020168</td>\n",
       "      <td>1.441961</td>\n",
       "      <td>8545</td>\n",
       "      <td>8316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3192</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>45</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Weston County</td>\n",
       "      <td>7208</td>\n",
       "      <td>7208</td>\n",
       "      <td>7181</td>\n",
       "      <td>...</td>\n",
       "      <td>12.372583</td>\n",
       "      <td>1.533635</td>\n",
       "      <td>6.935294</td>\n",
       "      <td>-12.032179</td>\n",
       "      <td>-8.040059</td>\n",
       "      <td>12.372583</td>\n",
       "      <td>1.533635</td>\n",
       "      <td>6.935294</td>\n",
       "      <td>7234</td>\n",
       "      <td>7065</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3193 rows × 102 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      SUMLEV  REGION  DIVISION  STATE  COUNTY     STNAME             CTYNAME  \\\n",
       "0         40       3         6      1       0    Alabama             Alabama   \n",
       "1         50       3         6      1       1    Alabama      Autauga County   \n",
       "2         50       3         6      1       3    Alabama      Baldwin County   \n",
       "3         50       3         6      1       5    Alabama      Barbour County   \n",
       "4         50       3         6      1       7    Alabama         Bibb County   \n",
       "5         50       3         6      1       9    Alabama       Blount County   \n",
       "6         50       3         6      1      11    Alabama      Bullock County   \n",
       "7         50       3         6      1      13    Alabama       Butler County   \n",
       "8         50       3         6      1      15    Alabama      Calhoun County   \n",
       "9         50       3         6      1      17    Alabama     Chambers County   \n",
       "10        50       3         6      1      19    Alabama     Cherokee County   \n",
       "11        50       3         6      1      21    Alabama      Chilton County   \n",
       "12        50       3         6      1      23    Alabama      Choctaw County   \n",
       "13        50       3         6      1      25    Alabama       Clarke County   \n",
       "14        50       3         6      1      27    Alabama         Clay County   \n",
       "15        50       3         6      1      29    Alabama     Cleburne County   \n",
       "16        50       3         6      1      31    Alabama       Coffee County   \n",
       "17        50       3         6      1      33    Alabama      Colbert County   \n",
       "18        50       3         6      1      35    Alabama      Conecuh County   \n",
       "19        50       3         6      1      37    Alabama        Coosa County   \n",
       "20        50       3         6      1      39    Alabama    Covington County   \n",
       "21        50       3         6      1      41    Alabama     Crenshaw County   \n",
       "22        50       3         6      1      43    Alabama      Cullman County   \n",
       "23        50       3         6      1      45    Alabama         Dale County   \n",
       "24        50       3         6      1      47    Alabama       Dallas County   \n",
       "25        50       3         6      1      49    Alabama       DeKalb County   \n",
       "26        50       3         6      1      51    Alabama       Elmore County   \n",
       "27        50       3         6      1      53    Alabama     Escambia County   \n",
       "28        50       3         6      1      55    Alabama       Etowah County   \n",
       "29        50       3         6      1      57    Alabama      Fayette County   \n",
       "...      ...     ...       ...    ...     ...        ...                 ...   \n",
       "3163      50       2         3     55     131  Wisconsin   Washington County   \n",
       "3164      50       2         3     55     133  Wisconsin     Waukesha County   \n",
       "3165      50       2         3     55     135  Wisconsin      Waupaca County   \n",
       "3166      50       2         3     55     137  Wisconsin     Waushara County   \n",
       "3167      50       2         3     55     139  Wisconsin    Winnebago County   \n",
       "3168      50       2         3     55     141  Wisconsin         Wood County   \n",
       "3169      40       4         8     56       0    Wyoming             Wyoming   \n",
       "3170      50       4         8     56       1    Wyoming       Albany County   \n",
       "3171      50       4         8     56       3    Wyoming     Big Horn County   \n",
       "3172      50       4         8     56       5    Wyoming     Campbell County   \n",
       "3173      50       4         8     56       7    Wyoming       Carbon County   \n",
       "3174      50       4         8     56       9    Wyoming     Converse County   \n",
       "3175      50       4         8     56      11    Wyoming        Crook County   \n",
       "3176      50       4         8     56      13    Wyoming      Fremont County   \n",
       "3177      50       4         8     56      15    Wyoming       Goshen County   \n",
       "3178      50       4         8     56      17    Wyoming  Hot Springs County   \n",
       "3179      50       4         8     56      19    Wyoming      Johnson County   \n",
       "3180      50       4         8     56      21    Wyoming      Laramie County   \n",
       "3181      50       4         8     56      23    Wyoming      Lincoln County   \n",
       "3182      50       4         8     56      25    Wyoming      Natrona County   \n",
       "3183      50       4         8     56      27    Wyoming     Niobrara County   \n",
       "3184      50       4         8     56      29    Wyoming         Park County   \n",
       "3185      50       4         8     56      31    Wyoming       Platte County   \n",
       "3186      50       4         8     56      33    Wyoming     Sheridan County   \n",
       "3187      50       4         8     56      35    Wyoming     Sublette County   \n",
       "3188      50       4         8     56      37    Wyoming   Sweetwater County   \n",
       "3189      50       4         8     56      39    Wyoming        Teton County   \n",
       "3190      50       4         8     56      41    Wyoming        Uinta County   \n",
       "3191      50       4         8     56      43    Wyoming     Washakie County   \n",
       "3192      50       4         8     56      45    Wyoming       Weston County   \n",
       "\n",
       "      CENSUS2010POP  ESTIMATESBASE2010  POPESTIMATE2010   ...     \\\n",
       "0           4779736            4780127          4785161   ...      \n",
       "1             54571              54571            54660   ...      \n",
       "2            182265             182265           183193   ...      \n",
       "3             27457              27457            27341   ...      \n",
       "4             22915              22919            22861   ...      \n",
       "5             57322              57322            57373   ...      \n",
       "6             10914              10915            10887   ...      \n",
       "7             20947              20946            20944   ...      \n",
       "8            118572             118586           118437   ...      \n",
       "9             34215              34170            34098   ...      \n",
       "10            25989              25986            25976   ...      \n",
       "11            43643              43631            43665   ...      \n",
       "12            13859              13858            13841   ...      \n",
       "13            25833              25840            25767   ...      \n",
       "14            13932              13932            13880   ...      \n",
       "15            14972              14972            14973   ...      \n",
       "16            49948              49948            50177   ...      \n",
       "17            54428              54428            54514   ...      \n",
       "18            13228              13228            13208   ...      \n",
       "19            11539              11758            11758   ...      \n",
       "20            37765              37765            37796   ...      \n",
       "21            13906              13906            13853   ...      \n",
       "22            80406              80410            80473   ...      \n",
       "23            50251              50251            50358   ...      \n",
       "24            43820              43820            43803   ...      \n",
       "25            71109              71115            71142   ...      \n",
       "26            79303              79296            79465   ...      \n",
       "27            38319              38319            38309   ...      \n",
       "28           104430             104427           104442   ...      \n",
       "29            17241              17241            17231   ...      \n",
       "...             ...                ...              ...   ...      \n",
       "3163         131887             131885           131967   ...      \n",
       "3164         389891             389938           390076   ...      \n",
       "3165          52410              52410            52422   ...      \n",
       "3166          24496              24496            24506   ...      \n",
       "3167         166994             166994           167059   ...      \n",
       "3168          74749              74749            74807   ...      \n",
       "3169         563626             563767           564516   ...      \n",
       "3170          36299              36299            36428   ...      \n",
       "3171          11668              11668            11672   ...      \n",
       "3172          46133              46133            46244   ...      \n",
       "3173          15885              15885            15837   ...      \n",
       "3174          13833              13833            13826   ...      \n",
       "3175           7083               7083             7114   ...      \n",
       "3176          40123              40123            40222   ...      \n",
       "3177          13249              13247            13408   ...      \n",
       "3178           4812               4812             4813   ...      \n",
       "3179           8569               8569             8581   ...      \n",
       "3180          91738              91881            92271   ...      \n",
       "3181          18106              18106            18091   ...      \n",
       "3182          75450              75450            75472   ...      \n",
       "3183           2484               2484             2492   ...      \n",
       "3184          28205              28205            28259   ...      \n",
       "3185           8667               8667             8678   ...      \n",
       "3186          29116              29116            29146   ...      \n",
       "3187          10247              10247            10244   ...      \n",
       "3188          43806              43806            43593   ...      \n",
       "3189          21294              21294            21297   ...      \n",
       "3190          21118              21118            21102   ...      \n",
       "3191           8533               8533             8545   ...      \n",
       "3192           7208               7208             7181   ...      \n",
       "\n",
       "      RDOMESTICMIG2013  RDOMESTICMIG2014  RDOMESTICMIG2015  RNETMIG2011  \\\n",
       "0             0.381066          0.582002         -0.467369     1.030015   \n",
       "1            -3.012349          2.265971         -2.530799     7.606016   \n",
       "2            21.845705         19.243287         17.197872    15.844176   \n",
       "3            -7.056824         -3.904217        -10.543299    -4.874741   \n",
       "4            -6.201001         -0.177537          0.177258    -5.088389   \n",
       "5            -1.748766         -2.062535         -1.369970     1.859511   \n",
       "6            -1.130263         14.354290        -16.167247   -29.001673   \n",
       "7            -5.655413          1.085428         -6.529805   -13.936612   \n",
       "8            -5.524649         -4.463211         -3.376322    -5.791579   \n",
       "9             2.872721         -2.287222          1.349468    -1.821092   \n",
       "10            5.488706         -0.076806         -3.239866     6.416167   \n",
       "11            0.480044          0.456017         -2.253483    -0.823761   \n",
       "12           -8.766391         -1.274984         -5.291205   -15.528177   \n",
       "13           -0.318345         -8.686428         -5.613667    -6.077488   \n",
       "14            4.902871          5.702648          3.912450   -10.816697   \n",
       "15            7.345821          3.654485         -3.123961    -3.673524   \n",
       "16          -13.146535         -3.602859          2.214774     2.166460   \n",
       "17            1.762390          1.835688         -0.110260     0.513964   \n",
       "18           -6.107224        -14.645416          2.684140    -4.861559   \n",
       "19           -4.313831        -22.958017         -5.387581   -34.017138   \n",
       "20            0.740271          3.697932         -0.316945     6.881460   \n",
       "21           -1.864936          3.084648          3.439504     2.666763   \n",
       "22            4.071247          5.087142          7.915406    -1.031427   \n",
       "23          -15.236079        -11.979785         -5.107706    -9.575283   \n",
       "24          -16.745678         -9.344789        -14.687232   -15.727573   \n",
       "25           -1.748807          0.267830          0.028141     1.375159   \n",
       "26            1.760531         -1.507057          2.067820     3.674511   \n",
       "27           -4.822706         -1.189831          1.190902    -3.397716   \n",
       "28           -1.931884         -1.726932         -2.082234    -0.632554   \n",
       "29           -3.725937          0.296745         -2.797536    -5.132243   \n",
       "...                ...               ...               ...          ...   \n",
       "3163         -2.215465          1.601149         -0.434498    -0.431504   \n",
       "3164          0.038132          0.760109         -0.719858     0.102448   \n",
       "3165          6.292687         -0.441031         -0.480617     3.359933   \n",
       "3166         -4.097017         -4.906711         -4.397793     5.174486   \n",
       "3167          0.833819         -2.406192         -4.557985     0.842573   \n",
       "3168         -6.901200         -5.596471         -3.958322    -3.733590   \n",
       "3169          4.487115         -4.788275         -3.221091     0.289680   \n",
       "3170         -3.544634         -3.334877         -9.911169     6.736119   \n",
       "3171         16.815908         -8.026420          5.095861     4.868258   \n",
       "3172         -5.895711         -8.550911         10.916963    -2.649606   \n",
       "3173          3.178134         -2.970641        -23.300971    -7.392431   \n",
       "3174         19.035533        -20.550587         -0.070403   -12.774915   \n",
       "3175          1.397819          6.378258         18.629317    -0.982939   \n",
       "3176         -4.990688        -12.331633        -13.673610     3.093562   \n",
       "3177         -8.079028         -7.017803        -11.899450    14.886132   \n",
       "3178          3.095336         -6.017222         -5.454164     5.191569   \n",
       "3179         -0.812583        -10.715742          0.933652     5.227392   \n",
       "3180          4.787847         -1.226133          0.278940    -0.973320   \n",
       "3181         13.564556          6.125989          1.555544    -9.691801   \n",
       "3182         24.322042         -0.958472         -0.061057     7.689674   \n",
       "3183         29.066295        -12.603387          7.492114    -0.401849   \n",
       "3184          7.641997         -9.252437         -2.878980     6.486639   \n",
       "3185          2.634593          6.055759          4.662270     4.373094   \n",
       "3186          4.546373          3.678069         -3.298406     2.122524   \n",
       "3187        -40.870074        -16.596273        -22.870900   -21.092907   \n",
       "3188         -5.339774        -14.252889        -14.248864     1.255221   \n",
       "3189         19.525929         14.143021         -0.564849     0.654527   \n",
       "3190         -6.902954        -14.215862        -12.127022   -18.136812   \n",
       "3191         -2.013502        -17.781491          1.682288   -11.990126   \n",
       "3192         12.372583          1.533635          6.935294   -12.032179   \n",
       "\n",
       "      RNETMIG2012  RNETMIG2013  RNETMIG2014  RNETMIG2015      max      min  \n",
       "0        0.826644     1.383282     1.724718     0.712594  4858979  4785161  \n",
       "1       -2.626146    -2.722002     2.592270    -2.187333    55347    54660  \n",
       "2       18.559627    22.727626    20.317142    18.293499   203709   183193  \n",
       "3       -2.758113    -7.167664    -3.978583   -10.543299    27341    26489  \n",
       "4       -4.363636    -5.403729     0.754533     1.107861    22861    22512  \n",
       "5       -0.848580    -1.402476    -1.577232    -0.884411    57776    57373  \n",
       "6       -2.825524     1.507017    17.243790   -13.193961    10887    10606  \n",
       "7      -11.586865    -5.557058     1.184103    -6.430868    20944    20154  \n",
       "8       -4.092677    -5.062836    -3.912834    -2.806406   118437   115620  \n",
       "9        4.701181     3.781439    -1.290228     2.346901    34153    33993  \n",
       "10       1.420264     5.757384     0.230419    -2.931307    26084    25859  \n",
       "11      -2.447504     0.868651     0.957636    -1.752709    43943    43665  \n",
       "12      -0.737028    -8.766391    -1.274984    -5.291205    13841    13170  \n",
       "13     -17.509958    -0.159172    -8.486280    -5.411736    25767    24675  \n",
       "14     -13.345130     4.977157     5.776708     3.986270    13880    13456  \n",
       "15      -5.151880     7.345821     3.654485    -3.123961    15072    14921  \n",
       "16      11.513368   -10.438741    -0.767822     5.350738    51211    50177  \n",
       "17       1.469035     2.276420     2.533249     0.588052    54514    54354  \n",
       "18      -7.504690    -6.107224   -14.645416     2.684140    13208    12662  \n",
       "19     -10.380162    -4.403703   -23.049483    -5.387581    11758    10724  \n",
       "20      -4.559952     0.793147     3.750759    -0.264121    38060    37796  \n",
       "21       5.099293    -0.502098     4.734577     5.087600    13963    13853  \n",
       "22      -0.634159     4.542916     5.593387     8.417777    82005    80374  \n",
       "23      -0.776637   -12.640155    -9.503292    -1.998668    50358    49501  \n",
       "24     -11.378047   -16.792849    -9.368689   -14.711389    43803    41131  \n",
       "25      -8.656001    -1.029539     1.198187     0.956790    71387    70869  \n",
       "26       1.558176     2.306047    -0.951175     2.757093    81468    79465  \n",
       "27      -3.803428    -4.769999    -1.136950     1.243830    38309    37784  \n",
       "28       2.446383    -1.518596    -1.234901    -1.588308   104442   103057  \n",
       "29      -0.705426    -3.785079     0.237396    -2.857058    17231    16759  \n",
       "...           ...          ...          ...          ...      ...      ...  \n",
       "3163     1.162817    -1.763330     2.104796     0.059931   133674   131967  \n",
       "3164     3.180527     1.189727     2.077633     0.593567   396488   390076  \n",
       "3165    -2.011937     6.561277    -0.134227    -0.173022    52422    51945  \n",
       "3166    -2.160399    -3.810226    -4.535615    -4.024395    24581    24033  \n",
       "3167     3.502335     1.531624    -1.545153    -3.685304   169639   167059  \n",
       "3168    -4.562809    -6.442917    -5.040889    -3.414223    74807    73435  \n",
       "3169    10.694870     5.440390    -3.727831    -2.091573   586107   564516  \n",
       "3170     6.433032     0.719587     1.429233    -5.166460    37956    36428  \n",
       "3171     3.144921    17.236306    -7.608378     5.513554    12022    11672  \n",
       "3172    15.558684    -5.916543    -8.509402    10.978525    49220    46244  \n",
       "3173   -12.636926     3.623073    -2.338590   -22.600668    15856    15559  \n",
       "3174    16.502720    20.093063   -19.358233     1.126443    14343    13728  \n",
       "3175    -3.642222     2.096729     7.071547    19.309219     7444     7114  \n",
       "3176     8.027411    -4.747240   -12.013555   -13.352750    41129    40222  \n",
       "3177     4.841727    -6.903896    -5.761986   -10.635133    13666    13383  \n",
       "3178     6.001656     2.888981    -6.224712    -5.663940     4846     4741  \n",
       "3179    -4.058912    -0.812583   -10.715742     0.933652     8636     8552  \n",
       "3180    17.914554     6.003143    -0.207819     1.673640    97121    92271  \n",
       "3181   -11.566801    13.619696     6.234414     1.662823    18722    17943  \n",
       "3182    23.749508    25.085233    -0.110593     0.793743    82178    75472  \n",
       "3183     0.806452    29.066295   -12.603387     7.492114     2548     2475  \n",
       "3184    11.127389    10.877797    -5.585731     0.856839    29237    28259  \n",
       "3185     4.933173     2.176403     5.598720     4.207414     8812     8678  \n",
       "3186     9.342778     5.523001     4.781489    -2.198937    30020    29146  \n",
       "3187    16.828794   -39.211861   -14.409938   -20.664059    10418     9899  \n",
       "3188    16.243199    -5.295460   -14.075283   -14.070195    45162    43593  \n",
       "3189     2.408578    21.160658    16.308671     1.520747    23125    21297  \n",
       "3190    -5.536861    -7.521840   -14.740608   -12.606351    21102    20822  \n",
       "3191    -1.182592    -2.250385   -18.020168     1.441961     8545     8316  \n",
       "3192    -8.040059    12.372583     1.533635     6.935294     7234     7065  \n",
       "\n",
       "[3193 rows x 102 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "def min_max(row):\n",
    "    data = row[['POPESTIMATE2010',\n",
    "                'POPESTIMATE2011',\n",
    "                'POPESTIMATE2012',\n",
    "                'POPESTIMATE2013',\n",
    "                'POPESTIMATE2014',\n",
    "                'POPESTIMATE2015']]\n",
    "    row['max'] = np.max(data)\n",
    "    row['min'] = np.min(data)\n",
    "    return row\n",
    "df.apply(min_max, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       4858979\n",
       "1         55347\n",
       "2        203709\n",
       "3         27341\n",
       "4         22861\n",
       "5         57776\n",
       "6         10887\n",
       "7         20944\n",
       "8        118437\n",
       "9         34153\n",
       "10        26084\n",
       "11        43943\n",
       "12        13841\n",
       "13        25767\n",
       "14        13880\n",
       "15        15072\n",
       "16        51211\n",
       "17        54514\n",
       "18        13208\n",
       "19        11758\n",
       "20        38060\n",
       "21        13963\n",
       "22        82005\n",
       "23        50358\n",
       "24        43803\n",
       "25        71387\n",
       "26        81468\n",
       "27        38309\n",
       "28       104442\n",
       "29        17231\n",
       "         ...   \n",
       "3163     133674\n",
       "3164     396488\n",
       "3165      52422\n",
       "3166      24581\n",
       "3167     169639\n",
       "3168      74807\n",
       "3169     586107\n",
       "3170      37956\n",
       "3171      12022\n",
       "3172      49220\n",
       "3173      15856\n",
       "3174      14343\n",
       "3175       7444\n",
       "3176      41129\n",
       "3177      13666\n",
       "3178       4846\n",
       "3179       8636\n",
       "3180      97121\n",
       "3181      18722\n",
       "3182      82178\n",
       "3183       2548\n",
       "3184      29237\n",
       "3185       8812\n",
       "3186      30020\n",
       "3187      10418\n",
       "3188      45162\n",
       "3189      23125\n",
       "3190      21102\n",
       "3191       8545\n",
       "3192       7234\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rows = ['POPESTIMATE2010',\n",
    "        'POPESTIMATE2011',\n",
    "        'POPESTIMATE2012',\n",
    "        'POPESTIMATE2013',\n",
    "        'POPESTIMATE2014',\n",
    "        'POPESTIMATE2015']\n",
    "df.apply(lambda x: np.max(x[rows]), axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Group by"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SUMLEV</th>\n",
       "      <th>REGION</th>\n",
       "      <th>DIVISION</th>\n",
       "      <th>STATE</th>\n",
       "      <th>COUNTY</th>\n",
       "      <th>STNAME</th>\n",
       "      <th>CTYNAME</th>\n",
       "      <th>CENSUS2010POP</th>\n",
       "      <th>ESTIMATESBASE2010</th>\n",
       "      <th>POPESTIMATE2010</th>\n",
       "      <th>...</th>\n",
       "      <th>RDOMESTICMIG2011</th>\n",
       "      <th>RDOMESTICMIG2012</th>\n",
       "      <th>RDOMESTICMIG2013</th>\n",
       "      <th>RDOMESTICMIG2014</th>\n",
       "      <th>RDOMESTICMIG2015</th>\n",
       "      <th>RNETMIG2011</th>\n",
       "      <th>RNETMIG2012</th>\n",
       "      <th>RNETMIG2013</th>\n",
       "      <th>RNETMIG2014</th>\n",
       "      <th>RNETMIG2015</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Autauga County</td>\n",
       "      <td>54571</td>\n",
       "      <td>54571</td>\n",
       "      <td>54660</td>\n",
       "      <td>...</td>\n",
       "      <td>7.242091</td>\n",
       "      <td>-2.915927</td>\n",
       "      <td>-3.012349</td>\n",
       "      <td>2.265971</td>\n",
       "      <td>-2.530799</td>\n",
       "      <td>7.606016</td>\n",
       "      <td>-2.626146</td>\n",
       "      <td>-2.722002</td>\n",
       "      <td>2.592270</td>\n",
       "      <td>-2.187333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Baldwin County</td>\n",
       "      <td>182265</td>\n",
       "      <td>182265</td>\n",
       "      <td>183193</td>\n",
       "      <td>...</td>\n",
       "      <td>14.832960</td>\n",
       "      <td>17.647293</td>\n",
       "      <td>21.845705</td>\n",
       "      <td>19.243287</td>\n",
       "      <td>17.197872</td>\n",
       "      <td>15.844176</td>\n",
       "      <td>18.559627</td>\n",
       "      <td>22.727626</td>\n",
       "      <td>20.317142</td>\n",
       "      <td>18.293499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Barbour County</td>\n",
       "      <td>27457</td>\n",
       "      <td>27457</td>\n",
       "      <td>27341</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.728132</td>\n",
       "      <td>-2.500690</td>\n",
       "      <td>-7.056824</td>\n",
       "      <td>-3.904217</td>\n",
       "      <td>-10.543299</td>\n",
       "      <td>-4.874741</td>\n",
       "      <td>-2.758113</td>\n",
       "      <td>-7.167664</td>\n",
       "      <td>-3.978583</td>\n",
       "      <td>-10.543299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Bibb County</td>\n",
       "      <td>22915</td>\n",
       "      <td>22919</td>\n",
       "      <td>22861</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.527043</td>\n",
       "      <td>-5.068871</td>\n",
       "      <td>-6.201001</td>\n",
       "      <td>-0.177537</td>\n",
       "      <td>0.177258</td>\n",
       "      <td>-5.088389</td>\n",
       "      <td>-4.363636</td>\n",
       "      <td>-5.403729</td>\n",
       "      <td>0.754533</td>\n",
       "      <td>1.107861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Blount County</td>\n",
       "      <td>57322</td>\n",
       "      <td>57322</td>\n",
       "      <td>57373</td>\n",
       "      <td>...</td>\n",
       "      <td>1.807375</td>\n",
       "      <td>-1.177622</td>\n",
       "      <td>-1.748766</td>\n",
       "      <td>-2.062535</td>\n",
       "      <td>-1.369970</td>\n",
       "      <td>1.859511</td>\n",
       "      <td>-0.848580</td>\n",
       "      <td>-1.402476</td>\n",
       "      <td>-1.577232</td>\n",
       "      <td>-0.884411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Bullock County</td>\n",
       "      <td>10914</td>\n",
       "      <td>10915</td>\n",
       "      <td>10887</td>\n",
       "      <td>...</td>\n",
       "      <td>-30.953709</td>\n",
       "      <td>-5.180127</td>\n",
       "      <td>-1.130263</td>\n",
       "      <td>14.354290</td>\n",
       "      <td>-16.167247</td>\n",
       "      <td>-29.001673</td>\n",
       "      <td>-2.825524</td>\n",
       "      <td>1.507017</td>\n",
       "      <td>17.243790</td>\n",
       "      <td>-13.193961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Butler County</td>\n",
       "      <td>20947</td>\n",
       "      <td>20946</td>\n",
       "      <td>20944</td>\n",
       "      <td>...</td>\n",
       "      <td>-14.032727</td>\n",
       "      <td>-11.684234</td>\n",
       "      <td>-5.655413</td>\n",
       "      <td>1.085428</td>\n",
       "      <td>-6.529805</td>\n",
       "      <td>-13.936612</td>\n",
       "      <td>-11.586865</td>\n",
       "      <td>-5.557058</td>\n",
       "      <td>1.184103</td>\n",
       "      <td>-6.430868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Calhoun County</td>\n",
       "      <td>118572</td>\n",
       "      <td>118586</td>\n",
       "      <td>118437</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.155670</td>\n",
       "      <td>-4.611706</td>\n",
       "      <td>-5.524649</td>\n",
       "      <td>-4.463211</td>\n",
       "      <td>-3.376322</td>\n",
       "      <td>-5.791579</td>\n",
       "      <td>-4.092677</td>\n",
       "      <td>-5.062836</td>\n",
       "      <td>-3.912834</td>\n",
       "      <td>-2.806406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Chambers County</td>\n",
       "      <td>34215</td>\n",
       "      <td>34170</td>\n",
       "      <td>34098</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.731639</td>\n",
       "      <td>3.849092</td>\n",
       "      <td>2.872721</td>\n",
       "      <td>-2.287222</td>\n",
       "      <td>1.349468</td>\n",
       "      <td>-1.821092</td>\n",
       "      <td>4.701181</td>\n",
       "      <td>3.781439</td>\n",
       "      <td>-1.290228</td>\n",
       "      <td>2.346901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Cherokee County</td>\n",
       "      <td>25989</td>\n",
       "      <td>25986</td>\n",
       "      <td>25976</td>\n",
       "      <td>...</td>\n",
       "      <td>6.339327</td>\n",
       "      <td>1.113180</td>\n",
       "      <td>5.488706</td>\n",
       "      <td>-0.076806</td>\n",
       "      <td>-3.239866</td>\n",
       "      <td>6.416167</td>\n",
       "      <td>1.420264</td>\n",
       "      <td>5.757384</td>\n",
       "      <td>0.230419</td>\n",
       "      <td>-2.931307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Chilton County</td>\n",
       "      <td>43643</td>\n",
       "      <td>43631</td>\n",
       "      <td>43665</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.372935</td>\n",
       "      <td>-2.653369</td>\n",
       "      <td>0.480044</td>\n",
       "      <td>0.456017</td>\n",
       "      <td>-2.253483</td>\n",
       "      <td>-0.823761</td>\n",
       "      <td>-2.447504</td>\n",
       "      <td>0.868651</td>\n",
       "      <td>0.957636</td>\n",
       "      <td>-1.752709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Choctaw County</td>\n",
       "      <td>13859</td>\n",
       "      <td>13858</td>\n",
       "      <td>13841</td>\n",
       "      <td>...</td>\n",
       "      <td>-15.455274</td>\n",
       "      <td>-0.737028</td>\n",
       "      <td>-8.766391</td>\n",
       "      <td>-1.274984</td>\n",
       "      <td>-5.291205</td>\n",
       "      <td>-15.528177</td>\n",
       "      <td>-0.737028</td>\n",
       "      <td>-8.766391</td>\n",
       "      <td>-1.274984</td>\n",
       "      <td>-5.291205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Clarke County</td>\n",
       "      <td>25833</td>\n",
       "      <td>25840</td>\n",
       "      <td>25767</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.194363</td>\n",
       "      <td>-17.667705</td>\n",
       "      <td>-0.318345</td>\n",
       "      <td>-8.686428</td>\n",
       "      <td>-5.613667</td>\n",
       "      <td>-6.077488</td>\n",
       "      <td>-17.509958</td>\n",
       "      <td>-0.159172</td>\n",
       "      <td>-8.486280</td>\n",
       "      <td>-5.411736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Clay County</td>\n",
       "      <td>13932</td>\n",
       "      <td>13932</td>\n",
       "      <td>13880</td>\n",
       "      <td>...</td>\n",
       "      <td>-10.744102</td>\n",
       "      <td>-13.345130</td>\n",
       "      <td>4.902871</td>\n",
       "      <td>5.702648</td>\n",
       "      <td>3.912450</td>\n",
       "      <td>-10.816697</td>\n",
       "      <td>-13.345130</td>\n",
       "      <td>4.977157</td>\n",
       "      <td>5.776708</td>\n",
       "      <td>3.986270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Cleburne County</td>\n",
       "      <td>14972</td>\n",
       "      <td>14972</td>\n",
       "      <td>14973</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.673524</td>\n",
       "      <td>-5.151880</td>\n",
       "      <td>7.345821</td>\n",
       "      <td>3.654485</td>\n",
       "      <td>-3.123961</td>\n",
       "      <td>-3.673524</td>\n",
       "      <td>-5.151880</td>\n",
       "      <td>7.345821</td>\n",
       "      <td>3.654485</td>\n",
       "      <td>-3.123961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Coffee County</td>\n",
       "      <td>49948</td>\n",
       "      <td>49948</td>\n",
       "      <td>50177</td>\n",
       "      <td>...</td>\n",
       "      <td>0.377640</td>\n",
       "      <td>7.675579</td>\n",
       "      <td>-13.146535</td>\n",
       "      <td>-3.602859</td>\n",
       "      <td>2.214774</td>\n",
       "      <td>2.166460</td>\n",
       "      <td>11.513368</td>\n",
       "      <td>-10.438741</td>\n",
       "      <td>-0.767822</td>\n",
       "      <td>5.350738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>33</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Colbert County</td>\n",
       "      <td>54428</td>\n",
       "      <td>54428</td>\n",
       "      <td>54514</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.073423</td>\n",
       "      <td>1.065051</td>\n",
       "      <td>1.762390</td>\n",
       "      <td>1.835688</td>\n",
       "      <td>-0.110260</td>\n",
       "      <td>0.513964</td>\n",
       "      <td>1.469035</td>\n",
       "      <td>2.276420</td>\n",
       "      <td>2.533249</td>\n",
       "      <td>0.588052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>35</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Conecuh County</td>\n",
       "      <td>13228</td>\n",
       "      <td>13228</td>\n",
       "      <td>13208</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.861559</td>\n",
       "      <td>-7.504690</td>\n",
       "      <td>-6.107224</td>\n",
       "      <td>-14.645416</td>\n",
       "      <td>2.684140</td>\n",
       "      <td>-4.861559</td>\n",
       "      <td>-7.504690</td>\n",
       "      <td>-6.107224</td>\n",
       "      <td>-14.645416</td>\n",
       "      <td>2.684140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Coosa County</td>\n",
       "      <td>11539</td>\n",
       "      <td>11758</td>\n",
       "      <td>11758</td>\n",
       "      <td>...</td>\n",
       "      <td>-33.930581</td>\n",
       "      <td>-10.291443</td>\n",
       "      <td>-4.313831</td>\n",
       "      <td>-22.958017</td>\n",
       "      <td>-5.387581</td>\n",
       "      <td>-34.017138</td>\n",
       "      <td>-10.380162</td>\n",
       "      <td>-4.403703</td>\n",
       "      <td>-23.049483</td>\n",
       "      <td>-5.387581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>39</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Covington County</td>\n",
       "      <td>37765</td>\n",
       "      <td>37765</td>\n",
       "      <td>37796</td>\n",
       "      <td>...</td>\n",
       "      <td>6.696899</td>\n",
       "      <td>-4.612668</td>\n",
       "      <td>0.740271</td>\n",
       "      <td>3.697932</td>\n",
       "      <td>-0.316945</td>\n",
       "      <td>6.881460</td>\n",
       "      <td>-4.559952</td>\n",
       "      <td>0.793147</td>\n",
       "      <td>3.750759</td>\n",
       "      <td>-0.264121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>41</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Crenshaw County</td>\n",
       "      <td>13906</td>\n",
       "      <td>13906</td>\n",
       "      <td>13853</td>\n",
       "      <td>...</td>\n",
       "      <td>1.729792</td>\n",
       "      <td>3.950156</td>\n",
       "      <td>-1.864936</td>\n",
       "      <td>3.084648</td>\n",
       "      <td>3.439504</td>\n",
       "      <td>2.666763</td>\n",
       "      <td>5.099293</td>\n",
       "      <td>-0.502098</td>\n",
       "      <td>4.734577</td>\n",
       "      <td>5.087600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>43</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Cullman County</td>\n",
       "      <td>80406</td>\n",
       "      <td>80410</td>\n",
       "      <td>80473</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.404233</td>\n",
       "      <td>-1.019628</td>\n",
       "      <td>4.071247</td>\n",
       "      <td>5.087142</td>\n",
       "      <td>7.915406</td>\n",
       "      <td>-1.031427</td>\n",
       "      <td>-0.634159</td>\n",
       "      <td>4.542916</td>\n",
       "      <td>5.593387</td>\n",
       "      <td>8.417777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Dale County</td>\n",
       "      <td>50251</td>\n",
       "      <td>50251</td>\n",
       "      <td>50358</td>\n",
       "      <td>...</td>\n",
       "      <td>-10.749798</td>\n",
       "      <td>-5.277150</td>\n",
       "      <td>-15.236079</td>\n",
       "      <td>-11.979785</td>\n",
       "      <td>-5.107706</td>\n",
       "      <td>-9.575283</td>\n",
       "      <td>-0.776637</td>\n",
       "      <td>-12.640155</td>\n",
       "      <td>-9.503292</td>\n",
       "      <td>-1.998668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>47</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Dallas County</td>\n",
       "      <td>43820</td>\n",
       "      <td>43820</td>\n",
       "      <td>43803</td>\n",
       "      <td>...</td>\n",
       "      <td>-15.635599</td>\n",
       "      <td>-11.308243</td>\n",
       "      <td>-16.745678</td>\n",
       "      <td>-9.344789</td>\n",
       "      <td>-14.687232</td>\n",
       "      <td>-15.727573</td>\n",
       "      <td>-11.378047</td>\n",
       "      <td>-16.792849</td>\n",
       "      <td>-9.368689</td>\n",
       "      <td>-14.711389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>49</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>DeKalb County</td>\n",
       "      <td>71109</td>\n",
       "      <td>71115</td>\n",
       "      <td>71142</td>\n",
       "      <td>...</td>\n",
       "      <td>0.294677</td>\n",
       "      <td>-9.302391</td>\n",
       "      <td>-1.748807</td>\n",
       "      <td>0.267830</td>\n",
       "      <td>0.028141</td>\n",
       "      <td>1.375159</td>\n",
       "      <td>-8.656001</td>\n",
       "      <td>-1.029539</td>\n",
       "      <td>1.198187</td>\n",
       "      <td>0.956790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>51</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Elmore County</td>\n",
       "      <td>79303</td>\n",
       "      <td>79296</td>\n",
       "      <td>79465</td>\n",
       "      <td>...</td>\n",
       "      <td>3.235576</td>\n",
       "      <td>0.822717</td>\n",
       "      <td>1.760531</td>\n",
       "      <td>-1.507057</td>\n",
       "      <td>2.067820</td>\n",
       "      <td>3.674511</td>\n",
       "      <td>1.558176</td>\n",
       "      <td>2.306047</td>\n",
       "      <td>-0.951175</td>\n",
       "      <td>2.757093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>53</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Escambia County</td>\n",
       "      <td>38319</td>\n",
       "      <td>38319</td>\n",
       "      <td>38309</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.449988</td>\n",
       "      <td>-3.855889</td>\n",
       "      <td>-4.822706</td>\n",
       "      <td>-1.189831</td>\n",
       "      <td>1.190902</td>\n",
       "      <td>-3.397716</td>\n",
       "      <td>-3.803428</td>\n",
       "      <td>-4.769999</td>\n",
       "      <td>-1.136950</td>\n",
       "      <td>1.243830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>55</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Etowah County</td>\n",
       "      <td>104430</td>\n",
       "      <td>104427</td>\n",
       "      <td>104442</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.015919</td>\n",
       "      <td>2.062637</td>\n",
       "      <td>-1.931884</td>\n",
       "      <td>-1.726932</td>\n",
       "      <td>-2.082234</td>\n",
       "      <td>-0.632554</td>\n",
       "      <td>2.446383</td>\n",
       "      <td>-1.518596</td>\n",
       "      <td>-1.234901</td>\n",
       "      <td>-1.588308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>57</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Fayette County</td>\n",
       "      <td>17241</td>\n",
       "      <td>17241</td>\n",
       "      <td>17231</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.015601</td>\n",
       "      <td>-0.646640</td>\n",
       "      <td>-3.725937</td>\n",
       "      <td>0.296745</td>\n",
       "      <td>-2.797536</td>\n",
       "      <td>-5.132243</td>\n",
       "      <td>-0.705426</td>\n",
       "      <td>-3.785079</td>\n",
       "      <td>0.237396</td>\n",
       "      <td>-2.857058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Franklin County</td>\n",
       "      <td>31704</td>\n",
       "      <td>31709</td>\n",
       "      <td>31734</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.638750</td>\n",
       "      <td>-5.459394</td>\n",
       "      <td>-8.043702</td>\n",
       "      <td>-1.267849</td>\n",
       "      <td>-2.401719</td>\n",
       "      <td>0.063029</td>\n",
       "      <td>-3.471291</td>\n",
       "      <td>-5.700261</td>\n",
       "      <td>1.553115</td>\n",
       "      <td>0.442422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3162</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>129</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Washburn County</td>\n",
       "      <td>15911</td>\n",
       "      <td>15911</td>\n",
       "      <td>15930</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.873936</td>\n",
       "      <td>7.338289</td>\n",
       "      <td>-6.732724</td>\n",
       "      <td>3.510452</td>\n",
       "      <td>-5.123279</td>\n",
       "      <td>-6.747809</td>\n",
       "      <td>7.464811</td>\n",
       "      <td>-6.605691</td>\n",
       "      <td>3.638104</td>\n",
       "      <td>-4.995197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3163</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>131</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Washington County</td>\n",
       "      <td>131887</td>\n",
       "      <td>131885</td>\n",
       "      <td>131967</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.794876</td>\n",
       "      <td>0.785279</td>\n",
       "      <td>-2.215465</td>\n",
       "      <td>1.601149</td>\n",
       "      <td>-0.434498</td>\n",
       "      <td>-0.431504</td>\n",
       "      <td>1.162817</td>\n",
       "      <td>-1.763330</td>\n",
       "      <td>2.104796</td>\n",
       "      <td>0.059931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3164</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>133</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Waukesha County</td>\n",
       "      <td>389891</td>\n",
       "      <td>389938</td>\n",
       "      <td>390076</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.765799</td>\n",
       "      <td>2.128860</td>\n",
       "      <td>0.038132</td>\n",
       "      <td>0.760109</td>\n",
       "      <td>-0.719858</td>\n",
       "      <td>0.102448</td>\n",
       "      <td>3.180527</td>\n",
       "      <td>1.189727</td>\n",
       "      <td>2.077633</td>\n",
       "      <td>0.593567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3165</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>135</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Waupaca County</td>\n",
       "      <td>52410</td>\n",
       "      <td>52410</td>\n",
       "      <td>52422</td>\n",
       "      <td>...</td>\n",
       "      <td>3.111756</td>\n",
       "      <td>-2.241873</td>\n",
       "      <td>6.292687</td>\n",
       "      <td>-0.441031</td>\n",
       "      <td>-0.480617</td>\n",
       "      <td>3.359933</td>\n",
       "      <td>-2.011937</td>\n",
       "      <td>6.561277</td>\n",
       "      <td>-0.134227</td>\n",
       "      <td>-0.173022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3166</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>137</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Waushara County</td>\n",
       "      <td>24496</td>\n",
       "      <td>24496</td>\n",
       "      <td>24506</td>\n",
       "      <td>...</td>\n",
       "      <td>4.930022</td>\n",
       "      <td>-2.404973</td>\n",
       "      <td>-4.097017</td>\n",
       "      <td>-4.906711</td>\n",
       "      <td>-4.397793</td>\n",
       "      <td>5.174486</td>\n",
       "      <td>-2.160399</td>\n",
       "      <td>-3.810226</td>\n",
       "      <td>-4.535615</td>\n",
       "      <td>-4.024395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3167</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>139</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Winnebago County</td>\n",
       "      <td>166994</td>\n",
       "      <td>166994</td>\n",
       "      <td>167059</td>\n",
       "      <td>...</td>\n",
       "      <td>0.316712</td>\n",
       "      <td>2.889873</td>\n",
       "      <td>0.833819</td>\n",
       "      <td>-2.406192</td>\n",
       "      <td>-4.557985</td>\n",
       "      <td>0.842573</td>\n",
       "      <td>3.502335</td>\n",
       "      <td>1.531624</td>\n",
       "      <td>-1.545153</td>\n",
       "      <td>-3.685304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3168</th>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>141</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Wood County</td>\n",
       "      <td>74749</td>\n",
       "      <td>74749</td>\n",
       "      <td>74807</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.081523</td>\n",
       "      <td>-5.019090</td>\n",
       "      <td>-6.901200</td>\n",
       "      <td>-5.596471</td>\n",
       "      <td>-3.958322</td>\n",
       "      <td>-3.733590</td>\n",
       "      <td>-4.562809</td>\n",
       "      <td>-6.442917</td>\n",
       "      <td>-5.040889</td>\n",
       "      <td>-3.414223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3170</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Albany County</td>\n",
       "      <td>36299</td>\n",
       "      <td>36299</td>\n",
       "      <td>36428</td>\n",
       "      <td>...</td>\n",
       "      <td>3.708956</td>\n",
       "      <td>2.637812</td>\n",
       "      <td>-3.544634</td>\n",
       "      <td>-3.334877</td>\n",
       "      <td>-9.911169</td>\n",
       "      <td>6.736119</td>\n",
       "      <td>6.433032</td>\n",
       "      <td>0.719587</td>\n",
       "      <td>1.429233</td>\n",
       "      <td>-5.166460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3171</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>3</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Big Horn County</td>\n",
       "      <td>11668</td>\n",
       "      <td>11668</td>\n",
       "      <td>11672</td>\n",
       "      <td>...</td>\n",
       "      <td>4.868258</td>\n",
       "      <td>2.804930</td>\n",
       "      <td>16.815908</td>\n",
       "      <td>-8.026420</td>\n",
       "      <td>5.095861</td>\n",
       "      <td>4.868258</td>\n",
       "      <td>3.144921</td>\n",
       "      <td>17.236306</td>\n",
       "      <td>-7.608378</td>\n",
       "      <td>5.513554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3172</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>5</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Campbell County</td>\n",
       "      <td>46133</td>\n",
       "      <td>46133</td>\n",
       "      <td>46244</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.843479</td>\n",
       "      <td>15.601020</td>\n",
       "      <td>-5.895711</td>\n",
       "      <td>-8.550911</td>\n",
       "      <td>10.916963</td>\n",
       "      <td>-2.649606</td>\n",
       "      <td>15.558684</td>\n",
       "      <td>-5.916543</td>\n",
       "      <td>-8.509402</td>\n",
       "      <td>10.978525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3173</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>7</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Carbon County</td>\n",
       "      <td>15885</td>\n",
       "      <td>15885</td>\n",
       "      <td>15837</td>\n",
       "      <td>...</td>\n",
       "      <td>-7.581980</td>\n",
       "      <td>-13.081441</td>\n",
       "      <td>3.178134</td>\n",
       "      <td>-2.970641</td>\n",
       "      <td>-23.300971</td>\n",
       "      <td>-7.392431</td>\n",
       "      <td>-12.636926</td>\n",
       "      <td>3.623073</td>\n",
       "      <td>-2.338590</td>\n",
       "      <td>-22.600668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3174</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>9</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Converse County</td>\n",
       "      <td>13833</td>\n",
       "      <td>13833</td>\n",
       "      <td>13826</td>\n",
       "      <td>...</td>\n",
       "      <td>-12.847499</td>\n",
       "      <td>15.493820</td>\n",
       "      <td>19.035533</td>\n",
       "      <td>-20.550587</td>\n",
       "      <td>-0.070403</td>\n",
       "      <td>-12.774915</td>\n",
       "      <td>16.502720</td>\n",
       "      <td>20.093063</td>\n",
       "      <td>-19.358233</td>\n",
       "      <td>1.126443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3175</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>11</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Crook County</td>\n",
       "      <td>7083</td>\n",
       "      <td>7083</td>\n",
       "      <td>7114</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.544618</td>\n",
       "      <td>-4.202564</td>\n",
       "      <td>1.397819</td>\n",
       "      <td>6.378258</td>\n",
       "      <td>18.629317</td>\n",
       "      <td>-0.982939</td>\n",
       "      <td>-3.642222</td>\n",
       "      <td>2.096729</td>\n",
       "      <td>7.071547</td>\n",
       "      <td>19.309219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3176</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>13</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Fremont County</td>\n",
       "      <td>40123</td>\n",
       "      <td>40123</td>\n",
       "      <td>40222</td>\n",
       "      <td>...</td>\n",
       "      <td>2.747083</td>\n",
       "      <td>7.782673</td>\n",
       "      <td>-4.990688</td>\n",
       "      <td>-12.331633</td>\n",
       "      <td>-13.673610</td>\n",
       "      <td>3.093562</td>\n",
       "      <td>8.027411</td>\n",
       "      <td>-4.747240</td>\n",
       "      <td>-12.013555</td>\n",
       "      <td>-13.352750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3177</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>15</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Goshen County</td>\n",
       "      <td>13249</td>\n",
       "      <td>13247</td>\n",
       "      <td>13408</td>\n",
       "      <td>...</td>\n",
       "      <td>14.293649</td>\n",
       "      <td>3.961413</td>\n",
       "      <td>-8.079028</td>\n",
       "      <td>-7.017803</td>\n",
       "      <td>-11.899450</td>\n",
       "      <td>14.886132</td>\n",
       "      <td>4.841727</td>\n",
       "      <td>-6.903896</td>\n",
       "      <td>-5.761986</td>\n",
       "      <td>-10.635133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3178</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>17</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Hot Springs County</td>\n",
       "      <td>4812</td>\n",
       "      <td>4812</td>\n",
       "      <td>4813</td>\n",
       "      <td>...</td>\n",
       "      <td>3.322604</td>\n",
       "      <td>6.208609</td>\n",
       "      <td>3.095336</td>\n",
       "      <td>-6.017222</td>\n",
       "      <td>-5.454164</td>\n",
       "      <td>5.191569</td>\n",
       "      <td>6.001656</td>\n",
       "      <td>2.888981</td>\n",
       "      <td>-6.224712</td>\n",
       "      <td>-5.663940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3179</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>19</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Johnson County</td>\n",
       "      <td>8569</td>\n",
       "      <td>8569</td>\n",
       "      <td>8581</td>\n",
       "      <td>...</td>\n",
       "      <td>4.995063</td>\n",
       "      <td>-4.058912</td>\n",
       "      <td>-0.812583</td>\n",
       "      <td>-10.715742</td>\n",
       "      <td>0.933652</td>\n",
       "      <td>5.227392</td>\n",
       "      <td>-4.058912</td>\n",
       "      <td>-0.812583</td>\n",
       "      <td>-10.715742</td>\n",
       "      <td>0.933652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3180</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>21</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Laramie County</td>\n",
       "      <td>91738</td>\n",
       "      <td>91881</td>\n",
       "      <td>92271</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.200428</td>\n",
       "      <td>15.547274</td>\n",
       "      <td>4.787847</td>\n",
       "      <td>-1.226133</td>\n",
       "      <td>0.278940</td>\n",
       "      <td>-0.973320</td>\n",
       "      <td>17.914554</td>\n",
       "      <td>6.003143</td>\n",
       "      <td>-0.207819</td>\n",
       "      <td>1.673640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3181</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>23</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Lincoln County</td>\n",
       "      <td>18106</td>\n",
       "      <td>18106</td>\n",
       "      <td>18091</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.802564</td>\n",
       "      <td>-11.566801</td>\n",
       "      <td>13.564556</td>\n",
       "      <td>6.125989</td>\n",
       "      <td>1.555544</td>\n",
       "      <td>-9.691801</td>\n",
       "      <td>-11.566801</td>\n",
       "      <td>13.619696</td>\n",
       "      <td>6.234414</td>\n",
       "      <td>1.662823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3182</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>25</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Natrona County</td>\n",
       "      <td>75450</td>\n",
       "      <td>75450</td>\n",
       "      <td>75472</td>\n",
       "      <td>...</td>\n",
       "      <td>7.189319</td>\n",
       "      <td>23.066162</td>\n",
       "      <td>24.322042</td>\n",
       "      <td>-0.958472</td>\n",
       "      <td>-0.061057</td>\n",
       "      <td>7.689674</td>\n",
       "      <td>23.749508</td>\n",
       "      <td>25.085233</td>\n",
       "      <td>-0.110593</td>\n",
       "      <td>0.793743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3183</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>27</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Niobrara County</td>\n",
       "      <td>2484</td>\n",
       "      <td>2484</td>\n",
       "      <td>2492</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.401849</td>\n",
       "      <td>0.806452</td>\n",
       "      <td>29.066295</td>\n",
       "      <td>-12.603387</td>\n",
       "      <td>7.492114</td>\n",
       "      <td>-0.401849</td>\n",
       "      <td>0.806452</td>\n",
       "      <td>29.066295</td>\n",
       "      <td>-12.603387</td>\n",
       "      <td>7.492114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3184</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>29</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Park County</td>\n",
       "      <td>28205</td>\n",
       "      <td>28205</td>\n",
       "      <td>28259</td>\n",
       "      <td>...</td>\n",
       "      <td>4.582951</td>\n",
       "      <td>8.057765</td>\n",
       "      <td>7.641997</td>\n",
       "      <td>-9.252437</td>\n",
       "      <td>-2.878980</td>\n",
       "      <td>6.486639</td>\n",
       "      <td>11.127389</td>\n",
       "      <td>10.877797</td>\n",
       "      <td>-5.585731</td>\n",
       "      <td>0.856839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3185</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>31</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Platte County</td>\n",
       "      <td>8667</td>\n",
       "      <td>8667</td>\n",
       "      <td>8678</td>\n",
       "      <td>...</td>\n",
       "      <td>4.373094</td>\n",
       "      <td>5.392073</td>\n",
       "      <td>2.634593</td>\n",
       "      <td>6.055759</td>\n",
       "      <td>4.662270</td>\n",
       "      <td>4.373094</td>\n",
       "      <td>4.933173</td>\n",
       "      <td>2.176403</td>\n",
       "      <td>5.598720</td>\n",
       "      <td>4.207414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3186</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>33</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Sheridan County</td>\n",
       "      <td>29116</td>\n",
       "      <td>29116</td>\n",
       "      <td>29146</td>\n",
       "      <td>...</td>\n",
       "      <td>0.958559</td>\n",
       "      <td>8.425487</td>\n",
       "      <td>4.546373</td>\n",
       "      <td>3.678069</td>\n",
       "      <td>-3.298406</td>\n",
       "      <td>2.122524</td>\n",
       "      <td>9.342778</td>\n",
       "      <td>5.523001</td>\n",
       "      <td>4.781489</td>\n",
       "      <td>-2.198937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3187</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>35</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Sublette County</td>\n",
       "      <td>10247</td>\n",
       "      <td>10247</td>\n",
       "      <td>10244</td>\n",
       "      <td>...</td>\n",
       "      <td>-23.741784</td>\n",
       "      <td>15.272374</td>\n",
       "      <td>-40.870074</td>\n",
       "      <td>-16.596273</td>\n",
       "      <td>-22.870900</td>\n",
       "      <td>-21.092907</td>\n",
       "      <td>16.828794</td>\n",
       "      <td>-39.211861</td>\n",
       "      <td>-14.409938</td>\n",
       "      <td>-20.664059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3188</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>37</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Sweetwater County</td>\n",
       "      <td>43806</td>\n",
       "      <td>43806</td>\n",
       "      <td>43593</td>\n",
       "      <td>...</td>\n",
       "      <td>1.072643</td>\n",
       "      <td>16.243199</td>\n",
       "      <td>-5.339774</td>\n",
       "      <td>-14.252889</td>\n",
       "      <td>-14.248864</td>\n",
       "      <td>1.255221</td>\n",
       "      <td>16.243199</td>\n",
       "      <td>-5.295460</td>\n",
       "      <td>-14.075283</td>\n",
       "      <td>-14.070195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3189</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>39</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Teton County</td>\n",
       "      <td>21294</td>\n",
       "      <td>21294</td>\n",
       "      <td>21297</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.589565</td>\n",
       "      <td>0.972695</td>\n",
       "      <td>19.525929</td>\n",
       "      <td>14.143021</td>\n",
       "      <td>-0.564849</td>\n",
       "      <td>0.654527</td>\n",
       "      <td>2.408578</td>\n",
       "      <td>21.160658</td>\n",
       "      <td>16.308671</td>\n",
       "      <td>1.520747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3190</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>41</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Uinta County</td>\n",
       "      <td>21118</td>\n",
       "      <td>21118</td>\n",
       "      <td>21102</td>\n",
       "      <td>...</td>\n",
       "      <td>-17.755986</td>\n",
       "      <td>-4.916350</td>\n",
       "      <td>-6.902954</td>\n",
       "      <td>-14.215862</td>\n",
       "      <td>-12.127022</td>\n",
       "      <td>-18.136812</td>\n",
       "      <td>-5.536861</td>\n",
       "      <td>-7.521840</td>\n",
       "      <td>-14.740608</td>\n",
       "      <td>-12.606351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3191</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>43</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Washakie County</td>\n",
       "      <td>8533</td>\n",
       "      <td>8533</td>\n",
       "      <td>8545</td>\n",
       "      <td>...</td>\n",
       "      <td>-11.637475</td>\n",
       "      <td>-0.827815</td>\n",
       "      <td>-2.013502</td>\n",
       "      <td>-17.781491</td>\n",
       "      <td>1.682288</td>\n",
       "      <td>-11.990126</td>\n",
       "      <td>-1.182592</td>\n",
       "      <td>-2.250385</td>\n",
       "      <td>-18.020168</td>\n",
       "      <td>1.441961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3192</th>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>56</td>\n",
       "      <td>45</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Weston County</td>\n",
       "      <td>7208</td>\n",
       "      <td>7208</td>\n",
       "      <td>7181</td>\n",
       "      <td>...</td>\n",
       "      <td>-11.752361</td>\n",
       "      <td>-8.040059</td>\n",
       "      <td>12.372583</td>\n",
       "      <td>1.533635</td>\n",
       "      <td>6.935294</td>\n",
       "      <td>-12.032179</td>\n",
       "      <td>-8.040059</td>\n",
       "      <td>12.372583</td>\n",
       "      <td>1.533635</td>\n",
       "      <td>6.935294</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3142 rows × 100 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      SUMLEV  REGION  DIVISION  STATE  COUNTY     STNAME             CTYNAME  \\\n",
       "1         50       3         6      1       1    Alabama      Autauga County   \n",
       "2         50       3         6      1       3    Alabama      Baldwin County   \n",
       "3         50       3         6      1       5    Alabama      Barbour County   \n",
       "4         50       3         6      1       7    Alabama         Bibb County   \n",
       "5         50       3         6      1       9    Alabama       Blount County   \n",
       "6         50       3         6      1      11    Alabama      Bullock County   \n",
       "7         50       3         6      1      13    Alabama       Butler County   \n",
       "8         50       3         6      1      15    Alabama      Calhoun County   \n",
       "9         50       3         6      1      17    Alabama     Chambers County   \n",
       "10        50       3         6      1      19    Alabama     Cherokee County   \n",
       "11        50       3         6      1      21    Alabama      Chilton County   \n",
       "12        50       3         6      1      23    Alabama      Choctaw County   \n",
       "13        50       3         6      1      25    Alabama       Clarke County   \n",
       "14        50       3         6      1      27    Alabama         Clay County   \n",
       "15        50       3         6      1      29    Alabama     Cleburne County   \n",
       "16        50       3         6      1      31    Alabama       Coffee County   \n",
       "17        50       3         6      1      33    Alabama      Colbert County   \n",
       "18        50       3         6      1      35    Alabama      Conecuh County   \n",
       "19        50       3         6      1      37    Alabama        Coosa County   \n",
       "20        50       3         6      1      39    Alabama    Covington County   \n",
       "21        50       3         6      1      41    Alabama     Crenshaw County   \n",
       "22        50       3         6      1      43    Alabama      Cullman County   \n",
       "23        50       3         6      1      45    Alabama         Dale County   \n",
       "24        50       3         6      1      47    Alabama       Dallas County   \n",
       "25        50       3         6      1      49    Alabama       DeKalb County   \n",
       "26        50       3         6      1      51    Alabama       Elmore County   \n",
       "27        50       3         6      1      53    Alabama     Escambia County   \n",
       "28        50       3         6      1      55    Alabama       Etowah County   \n",
       "29        50       3         6      1      57    Alabama      Fayette County   \n",
       "30        50       3         6      1      59    Alabama     Franklin County   \n",
       "...      ...     ...       ...    ...     ...        ...                 ...   \n",
       "3162      50       2         3     55     129  Wisconsin     Washburn County   \n",
       "3163      50       2         3     55     131  Wisconsin   Washington County   \n",
       "3164      50       2         3     55     133  Wisconsin     Waukesha County   \n",
       "3165      50       2         3     55     135  Wisconsin      Waupaca County   \n",
       "3166      50       2         3     55     137  Wisconsin     Waushara County   \n",
       "3167      50       2         3     55     139  Wisconsin    Winnebago County   \n",
       "3168      50       2         3     55     141  Wisconsin         Wood County   \n",
       "3170      50       4         8     56       1    Wyoming       Albany County   \n",
       "3171      50       4         8     56       3    Wyoming     Big Horn County   \n",
       "3172      50       4         8     56       5    Wyoming     Campbell County   \n",
       "3173      50       4         8     56       7    Wyoming       Carbon County   \n",
       "3174      50       4         8     56       9    Wyoming     Converse County   \n",
       "3175      50       4         8     56      11    Wyoming        Crook County   \n",
       "3176      50       4         8     56      13    Wyoming      Fremont County   \n",
       "3177      50       4         8     56      15    Wyoming       Goshen County   \n",
       "3178      50       4         8     56      17    Wyoming  Hot Springs County   \n",
       "3179      50       4         8     56      19    Wyoming      Johnson County   \n",
       "3180      50       4         8     56      21    Wyoming      Laramie County   \n",
       "3181      50       4         8     56      23    Wyoming      Lincoln County   \n",
       "3182      50       4         8     56      25    Wyoming      Natrona County   \n",
       "3183      50       4         8     56      27    Wyoming     Niobrara County   \n",
       "3184      50       4         8     56      29    Wyoming         Park County   \n",
       "3185      50       4         8     56      31    Wyoming       Platte County   \n",
       "3186      50       4         8     56      33    Wyoming     Sheridan County   \n",
       "3187      50       4         8     56      35    Wyoming     Sublette County   \n",
       "3188      50       4         8     56      37    Wyoming   Sweetwater County   \n",
       "3189      50       4         8     56      39    Wyoming        Teton County   \n",
       "3190      50       4         8     56      41    Wyoming        Uinta County   \n",
       "3191      50       4         8     56      43    Wyoming     Washakie County   \n",
       "3192      50       4         8     56      45    Wyoming       Weston County   \n",
       "\n",
       "      CENSUS2010POP  ESTIMATESBASE2010  POPESTIMATE2010     ...       \\\n",
       "1             54571              54571            54660     ...        \n",
       "2            182265             182265           183193     ...        \n",
       "3             27457              27457            27341     ...        \n",
       "4             22915              22919            22861     ...        \n",
       "5             57322              57322            57373     ...        \n",
       "6             10914              10915            10887     ...        \n",
       "7             20947              20946            20944     ...        \n",
       "8            118572             118586           118437     ...        \n",
       "9             34215              34170            34098     ...        \n",
       "10            25989              25986            25976     ...        \n",
       "11            43643              43631            43665     ...        \n",
       "12            13859              13858            13841     ...        \n",
       "13            25833              25840            25767     ...        \n",
       "14            13932              13932            13880     ...        \n",
       "15            14972              14972            14973     ...        \n",
       "16            49948              49948            50177     ...        \n",
       "17            54428              54428            54514     ...        \n",
       "18            13228              13228            13208     ...        \n",
       "19            11539              11758            11758     ...        \n",
       "20            37765              37765            37796     ...        \n",
       "21            13906              13906            13853     ...        \n",
       "22            80406              80410            80473     ...        \n",
       "23            50251              50251            50358     ...        \n",
       "24            43820              43820            43803     ...        \n",
       "25            71109              71115            71142     ...        \n",
       "26            79303              79296            79465     ...        \n",
       "27            38319              38319            38309     ...        \n",
       "28           104430             104427           104442     ...        \n",
       "29            17241              17241            17231     ...        \n",
       "30            31704              31709            31734     ...        \n",
       "...             ...                ...              ...     ...        \n",
       "3162          15911              15911            15930     ...        \n",
       "3163         131887             131885           131967     ...        \n",
       "3164         389891             389938           390076     ...        \n",
       "3165          52410              52410            52422     ...        \n",
       "3166          24496              24496            24506     ...        \n",
       "3167         166994             166994           167059     ...        \n",
       "3168          74749              74749            74807     ...        \n",
       "3170          36299              36299            36428     ...        \n",
       "3171          11668              11668            11672     ...        \n",
       "3172          46133              46133            46244     ...        \n",
       "3173          15885              15885            15837     ...        \n",
       "3174          13833              13833            13826     ...        \n",
       "3175           7083               7083             7114     ...        \n",
       "3176          40123              40123            40222     ...        \n",
       "3177          13249              13247            13408     ...        \n",
       "3178           4812               4812             4813     ...        \n",
       "3179           8569               8569             8581     ...        \n",
       "3180          91738              91881            92271     ...        \n",
       "3181          18106              18106            18091     ...        \n",
       "3182          75450              75450            75472     ...        \n",
       "3183           2484               2484             2492     ...        \n",
       "3184          28205              28205            28259     ...        \n",
       "3185           8667               8667             8678     ...        \n",
       "3186          29116              29116            29146     ...        \n",
       "3187          10247              10247            10244     ...        \n",
       "3188          43806              43806            43593     ...        \n",
       "3189          21294              21294            21297     ...        \n",
       "3190          21118              21118            21102     ...        \n",
       "3191           8533               8533             8545     ...        \n",
       "3192           7208               7208             7181     ...        \n",
       "\n",
       "      RDOMESTICMIG2011  RDOMESTICMIG2012  RDOMESTICMIG2013  RDOMESTICMIG2014  \\\n",
       "1             7.242091         -2.915927         -3.012349          2.265971   \n",
       "2            14.832960         17.647293         21.845705         19.243287   \n",
       "3            -4.728132         -2.500690         -7.056824         -3.904217   \n",
       "4            -5.527043         -5.068871         -6.201001         -0.177537   \n",
       "5             1.807375         -1.177622         -1.748766         -2.062535   \n",
       "6           -30.953709         -5.180127         -1.130263         14.354290   \n",
       "7           -14.032727        -11.684234         -5.655413          1.085428   \n",
       "8            -6.155670         -4.611706         -5.524649         -4.463211   \n",
       "9            -2.731639          3.849092          2.872721         -2.287222   \n",
       "10            6.339327          1.113180          5.488706         -0.076806   \n",
       "11           -1.372935         -2.653369          0.480044          0.456017   \n",
       "12          -15.455274         -0.737028         -8.766391         -1.274984   \n",
       "13           -6.194363        -17.667705         -0.318345         -8.686428   \n",
       "14          -10.744102        -13.345130          4.902871          5.702648   \n",
       "15           -3.673524         -5.151880          7.345821          3.654485   \n",
       "16            0.377640          7.675579        -13.146535         -3.602859   \n",
       "17           -0.073423          1.065051          1.762390          1.835688   \n",
       "18           -4.861559         -7.504690         -6.107224        -14.645416   \n",
       "19          -33.930581        -10.291443         -4.313831        -22.958017   \n",
       "20            6.696899         -4.612668          0.740271          3.697932   \n",
       "21            1.729792          3.950156         -1.864936          3.084648   \n",
       "22           -1.404233         -1.019628          4.071247          5.087142   \n",
       "23          -10.749798         -5.277150        -15.236079        -11.979785   \n",
       "24          -15.635599        -11.308243        -16.745678         -9.344789   \n",
       "25            0.294677         -9.302391         -1.748807          0.267830   \n",
       "26            3.235576          0.822717          1.760531         -1.507057   \n",
       "27           -3.449988         -3.855889         -4.822706         -1.189831   \n",
       "28           -1.015919          2.062637         -1.931884         -1.726932   \n",
       "29           -5.015601         -0.646640         -3.725937          0.296745   \n",
       "30           -1.638750         -5.459394         -8.043702         -1.267849   \n",
       "...                ...               ...               ...               ...   \n",
       "3162         -6.873936          7.338289         -6.732724          3.510452   \n",
       "3163         -0.794876          0.785279         -2.215465          1.601149   \n",
       "3164         -0.765799          2.128860          0.038132          0.760109   \n",
       "3165          3.111756         -2.241873          6.292687         -0.441031   \n",
       "3166          4.930022         -2.404973         -4.097017         -4.906711   \n",
       "3167          0.316712          2.889873          0.833819         -2.406192   \n",
       "3168         -4.081523         -5.019090         -6.901200         -5.596471   \n",
       "3170          3.708956          2.637812         -3.544634         -3.334877   \n",
       "3171          4.868258          2.804930         16.815908         -8.026420   \n",
       "3172         -2.843479         15.601020         -5.895711         -8.550911   \n",
       "3173         -7.581980        -13.081441          3.178134         -2.970641   \n",
       "3174        -12.847499         15.493820         19.035533        -20.550587   \n",
       "3175         -1.544618         -4.202564          1.397819          6.378258   \n",
       "3176          2.747083          7.782673         -4.990688        -12.331633   \n",
       "3177         14.293649          3.961413         -8.079028         -7.017803   \n",
       "3178          3.322604          6.208609          3.095336         -6.017222   \n",
       "3179          4.995063         -4.058912         -0.812583        -10.715742   \n",
       "3180         -1.200428         15.547274          4.787847         -1.226133   \n",
       "3181         -9.802564        -11.566801         13.564556          6.125989   \n",
       "3182          7.189319         23.066162         24.322042         -0.958472   \n",
       "3183         -0.401849          0.806452         29.066295        -12.603387   \n",
       "3184          4.582951          8.057765          7.641997         -9.252437   \n",
       "3185          4.373094          5.392073          2.634593          6.055759   \n",
       "3186          0.958559          8.425487          4.546373          3.678069   \n",
       "3187        -23.741784         15.272374        -40.870074        -16.596273   \n",
       "3188          1.072643         16.243199         -5.339774        -14.252889   \n",
       "3189         -1.589565          0.972695         19.525929         14.143021   \n",
       "3190        -17.755986         -4.916350         -6.902954        -14.215862   \n",
       "3191        -11.637475         -0.827815         -2.013502        -17.781491   \n",
       "3192        -11.752361         -8.040059         12.372583          1.533635   \n",
       "\n",
       "      RDOMESTICMIG2015  RNETMIG2011  RNETMIG2012  RNETMIG2013  RNETMIG2014  \\\n",
       "1            -2.530799     7.606016    -2.626146    -2.722002     2.592270   \n",
       "2            17.197872    15.844176    18.559627    22.727626    20.317142   \n",
       "3           -10.543299    -4.874741    -2.758113    -7.167664    -3.978583   \n",
       "4             0.177258    -5.088389    -4.363636    -5.403729     0.754533   \n",
       "5            -1.369970     1.859511    -0.848580    -1.402476    -1.577232   \n",
       "6           -16.167247   -29.001673    -2.825524     1.507017    17.243790   \n",
       "7            -6.529805   -13.936612   -11.586865    -5.557058     1.184103   \n",
       "8            -3.376322    -5.791579    -4.092677    -5.062836    -3.912834   \n",
       "9             1.349468    -1.821092     4.701181     3.781439    -1.290228   \n",
       "10           -3.239866     6.416167     1.420264     5.757384     0.230419   \n",
       "11           -2.253483    -0.823761    -2.447504     0.868651     0.957636   \n",
       "12           -5.291205   -15.528177    -0.737028    -8.766391    -1.274984   \n",
       "13           -5.613667    -6.077488   -17.509958    -0.159172    -8.486280   \n",
       "14            3.912450   -10.816697   -13.345130     4.977157     5.776708   \n",
       "15           -3.123961    -3.673524    -5.151880     7.345821     3.654485   \n",
       "16            2.214774     2.166460    11.513368   -10.438741    -0.767822   \n",
       "17           -0.110260     0.513964     1.469035     2.276420     2.533249   \n",
       "18            2.684140    -4.861559    -7.504690    -6.107224   -14.645416   \n",
       "19           -5.387581   -34.017138   -10.380162    -4.403703   -23.049483   \n",
       "20           -0.316945     6.881460    -4.559952     0.793147     3.750759   \n",
       "21            3.439504     2.666763     5.099293    -0.502098     4.734577   \n",
       "22            7.915406    -1.031427    -0.634159     4.542916     5.593387   \n",
       "23           -5.107706    -9.575283    -0.776637   -12.640155    -9.503292   \n",
       "24          -14.687232   -15.727573   -11.378047   -16.792849    -9.368689   \n",
       "25            0.028141     1.375159    -8.656001    -1.029539     1.198187   \n",
       "26            2.067820     3.674511     1.558176     2.306047    -0.951175   \n",
       "27            1.190902    -3.397716    -3.803428    -4.769999    -1.136950   \n",
       "28           -2.082234    -0.632554     2.446383    -1.518596    -1.234901   \n",
       "29           -2.797536    -5.132243    -0.705426    -3.785079     0.237396   \n",
       "30           -2.401719     0.063029    -3.471291    -5.700261     1.553115   \n",
       "...                ...          ...          ...          ...          ...   \n",
       "3162         -5.123279    -6.747809     7.464811    -6.605691     3.638104   \n",
       "3163         -0.434498    -0.431504     1.162817    -1.763330     2.104796   \n",
       "3164         -0.719858     0.102448     3.180527     1.189727     2.077633   \n",
       "3165         -0.480617     3.359933    -2.011937     6.561277    -0.134227   \n",
       "3166         -4.397793     5.174486    -2.160399    -3.810226    -4.535615   \n",
       "3167         -4.557985     0.842573     3.502335     1.531624    -1.545153   \n",
       "3168         -3.958322    -3.733590    -4.562809    -6.442917    -5.040889   \n",
       "3170         -9.911169     6.736119     6.433032     0.719587     1.429233   \n",
       "3171          5.095861     4.868258     3.144921    17.236306    -7.608378   \n",
       "3172         10.916963    -2.649606    15.558684    -5.916543    -8.509402   \n",
       "3173        -23.300971    -7.392431   -12.636926     3.623073    -2.338590   \n",
       "3174         -0.070403   -12.774915    16.502720    20.093063   -19.358233   \n",
       "3175         18.629317    -0.982939    -3.642222     2.096729     7.071547   \n",
       "3176        -13.673610     3.093562     8.027411    -4.747240   -12.013555   \n",
       "3177        -11.899450    14.886132     4.841727    -6.903896    -5.761986   \n",
       "3178         -5.454164     5.191569     6.001656     2.888981    -6.224712   \n",
       "3179          0.933652     5.227392    -4.058912    -0.812583   -10.715742   \n",
       "3180          0.278940    -0.973320    17.914554     6.003143    -0.207819   \n",
       "3181          1.555544    -9.691801   -11.566801    13.619696     6.234414   \n",
       "3182         -0.061057     7.689674    23.749508    25.085233    -0.110593   \n",
       "3183          7.492114    -0.401849     0.806452    29.066295   -12.603387   \n",
       "3184         -2.878980     6.486639    11.127389    10.877797    -5.585731   \n",
       "3185          4.662270     4.373094     4.933173     2.176403     5.598720   \n",
       "3186         -3.298406     2.122524     9.342778     5.523001     4.781489   \n",
       "3187        -22.870900   -21.092907    16.828794   -39.211861   -14.409938   \n",
       "3188        -14.248864     1.255221    16.243199    -5.295460   -14.075283   \n",
       "3189         -0.564849     0.654527     2.408578    21.160658    16.308671   \n",
       "3190        -12.127022   -18.136812    -5.536861    -7.521840   -14.740608   \n",
       "3191          1.682288   -11.990126    -1.182592    -2.250385   -18.020168   \n",
       "3192          6.935294   -12.032179    -8.040059    12.372583     1.533635   \n",
       "\n",
       "      RNETMIG2015  \n",
       "1       -2.187333  \n",
       "2       18.293499  \n",
       "3      -10.543299  \n",
       "4        1.107861  \n",
       "5       -0.884411  \n",
       "6      -13.193961  \n",
       "7       -6.430868  \n",
       "8       -2.806406  \n",
       "9        2.346901  \n",
       "10      -2.931307  \n",
       "11      -1.752709  \n",
       "12      -5.291205  \n",
       "13      -5.411736  \n",
       "14       3.986270  \n",
       "15      -3.123961  \n",
       "16       5.350738  \n",
       "17       0.588052  \n",
       "18       2.684140  \n",
       "19      -5.387581  \n",
       "20      -0.264121  \n",
       "21       5.087600  \n",
       "22       8.417777  \n",
       "23      -1.998668  \n",
       "24     -14.711389  \n",
       "25       0.956790  \n",
       "26       2.757093  \n",
       "27       1.243830  \n",
       "28      -1.588308  \n",
       "29      -2.857058  \n",
       "30       0.442422  \n",
       "...           ...  \n",
       "3162    -4.995197  \n",
       "3163     0.059931  \n",
       "3164     0.593567  \n",
       "3165    -0.173022  \n",
       "3166    -4.024395  \n",
       "3167    -3.685304  \n",
       "3168    -3.414223  \n",
       "3170    -5.166460  \n",
       "3171     5.513554  \n",
       "3172    10.978525  \n",
       "3173   -22.600668  \n",
       "3174     1.126443  \n",
       "3175    19.309219  \n",
       "3176   -13.352750  \n",
       "3177   -10.635133  \n",
       "3178    -5.663940  \n",
       "3179     0.933652  \n",
       "3180     1.673640  \n",
       "3181     1.662823  \n",
       "3182     0.793743  \n",
       "3183     7.492114  \n",
       "3184     0.856839  \n",
       "3185     4.207414  \n",
       "3186    -2.198937  \n",
       "3187   -20.664059  \n",
       "3188   -14.070195  \n",
       "3189     1.520747  \n",
       "3190   -12.606351  \n",
       "3191     1.441961  \n",
       "3192     6.935294  \n",
       "\n",
       "[3142 rows x 100 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "df = pd.read_csv('census.csv')\n",
    "df = df[df['SUMLEV']==50]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%%timeit -n 10\n",
    "for state in df['STNAME'].unique():\n",
    "    avg = np.average(df.where(df['STNAME']==state).dropna()['CENSUS2010POP'])\n",
    "    print('Counties in state ' + state + ' have an average population of ' + str(avg))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n"
     ]
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     "text": [
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n"
     ]
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     "text": [
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "Counties in state Alabama have an average population of 71339.3432836\n",
      "Counties in state Alaska have an average population of 24490.7241379\n",
      "Counties in state Arizona have an average population of 426134.466667\n",
      "Counties in state Arkansas have an average population of 38878.9066667\n",
      "Counties in state California have an average population of 642309.586207\n",
      "Counties in state Colorado have an average population of 78581.1875\n",
      "Counties in state Connecticut have an average population of 446762.125\n",
      "Counties in state Delaware have an average population of 299311.333333\n",
      "Counties in state District of Columbia have an average population of 601723.0\n",
      "Counties in state Florida have an average population of 280616.567164\n",
      "Counties in state Georgia have an average population of 60928.6352201\n",
      "Counties in state Hawaii have an average population of 272060.2\n",
      "Counties in state Idaho have an average population of 35626.8636364\n",
      "Counties in state Illinois have an average population of 125790.509804\n",
      "Counties in state Indiana have an average population of 70476.1086957\n",
      "Counties in state Iowa have an average population of 30771.2626263\n",
      "Counties in state Kansas have an average population of 27172.552381\n",
      "Counties in state Kentucky have an average population of 36161.3916667\n",
      "Counties in state Louisiana have an average population of 70833.9375\n",
      "Counties in state Maine have an average population of 83022.5625\n",
      "Counties in state Maryland have an average population of 240564.666667\n",
      "Counties in state Massachusetts have an average population of 467687.785714\n",
      "Counties in state Michigan have an average population of 119080.0\n",
      "Counties in state Minnesota have an average population of 60964.6551724\n",
      "Counties in state Mississippi have an average population of 36186.5487805\n",
      "Counties in state Missouri have an average population of 52077.626087\n",
      "Counties in state Montana have an average population of 17668.125\n",
      "Counties in state Nebraska have an average population of 19638.0752688\n",
      "Counties in state Nevada have an average population of 158855.941176\n",
      "Counties in state New Hampshire have an average population of 131647.0\n",
      "Counties in state New Jersey have an average population of 418661.619048\n",
      "Counties in state New Mexico have an average population of 62399.3636364\n",
      "Counties in state New York have an average population of 312550.032258\n",
      "Counties in state North Carolina have an average population of 95354.83\n",
      "Counties in state North Dakota have an average population of 12690.3962264\n",
      "Counties in state Ohio have an average population of 131096.636364\n",
      "Counties in state Oklahoma have an average population of 48718.8441558\n",
      "Counties in state Oregon have an average population of 106418.722222\n",
      "Counties in state Pennsylvania have an average population of 189587.746269\n",
      "Counties in state Rhode Island have an average population of 210513.4\n",
      "Counties in state South Carolina have an average population of 100551.391304\n",
      "Counties in state South Dakota have an average population of 12336.0606061\n",
      "Counties in state Tennessee have an average population of 66801.1052632\n",
      "Counties in state Texas have an average population of 98998.2716535\n",
      "Counties in state Utah have an average population of 95306.3793103\n",
      "Counties in state Vermont have an average population of 44695.7857143\n",
      "Counties in state Virginia have an average population of 60111.2932331\n",
      "Counties in state Washington have an average population of 172424.102564\n",
      "Counties in state West Virginia have an average population of 33690.8\n",
      "Counties in state Wisconsin have an average population of 78985.9166667\n",
      "Counties in state Wyoming have an average population of 24505.4782609\n",
      "10 loops, best of 3: 49.4 ms per loop\n"
     ]
    }
   ],
   "source": [
    "%%timeit -n 10\n",
    "for group, frame in df.groupby('STNAME'):\n",
    "    avg = np.average(frame['CENSUS2010POP'])\n",
    "    print('Counties in state ' + group + ' have an average population of ' + str(avg))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SUMLEV</th>\n",
       "      <th>REGION</th>\n",
       "      <th>DIVISION</th>\n",
       "      <th>STATE</th>\n",
       "      <th>COUNTY</th>\n",
       "      <th>STNAME</th>\n",
       "      <th>CTYNAME</th>\n",
       "      <th>CENSUS2010POP</th>\n",
       "      <th>ESTIMATESBASE2010</th>\n",
       "      <th>POPESTIMATE2010</th>\n",
       "      <th>...</th>\n",
       "      <th>RDOMESTICMIG2011</th>\n",
       "      <th>RDOMESTICMIG2012</th>\n",
       "      <th>RDOMESTICMIG2013</th>\n",
       "      <th>RDOMESTICMIG2014</th>\n",
       "      <th>RDOMESTICMIG2015</th>\n",
       "      <th>RNETMIG2011</th>\n",
       "      <th>RNETMIG2012</th>\n",
       "      <th>RNETMIG2013</th>\n",
       "      <th>RNETMIG2014</th>\n",
       "      <th>RNETMIG2015</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Autauga County</td>\n",
       "      <td>54571</td>\n",
       "      <td>54571</td>\n",
       "      <td>54660</td>\n",
       "      <td>...</td>\n",
       "      <td>7.242091</td>\n",
       "      <td>-2.915927</td>\n",
       "      <td>-3.012349</td>\n",
       "      <td>2.265971</td>\n",
       "      <td>-2.530799</td>\n",
       "      <td>7.606016</td>\n",
       "      <td>-2.626146</td>\n",
       "      <td>-2.722002</td>\n",
       "      <td>2.592270</td>\n",
       "      <td>-2.187333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Baldwin County</td>\n",
       "      <td>182265</td>\n",
       "      <td>182265</td>\n",
       "      <td>183193</td>\n",
       "      <td>...</td>\n",
       "      <td>14.832960</td>\n",
       "      <td>17.647293</td>\n",
       "      <td>21.845705</td>\n",
       "      <td>19.243287</td>\n",
       "      <td>17.197872</td>\n",
       "      <td>15.844176</td>\n",
       "      <td>18.559627</td>\n",
       "      <td>22.727626</td>\n",
       "      <td>20.317142</td>\n",
       "      <td>18.293499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Barbour County</td>\n",
       "      <td>27457</td>\n",
       "      <td>27457</td>\n",
       "      <td>27341</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.728132</td>\n",
       "      <td>-2.500690</td>\n",
       "      <td>-7.056824</td>\n",
       "      <td>-3.904217</td>\n",
       "      <td>-10.543299</td>\n",
       "      <td>-4.874741</td>\n",
       "      <td>-2.758113</td>\n",
       "      <td>-7.167664</td>\n",
       "      <td>-3.978583</td>\n",
       "      <td>-10.543299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Bibb County</td>\n",
       "      <td>22915</td>\n",
       "      <td>22919</td>\n",
       "      <td>22861</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.527043</td>\n",
       "      <td>-5.068871</td>\n",
       "      <td>-6.201001</td>\n",
       "      <td>-0.177537</td>\n",
       "      <td>0.177258</td>\n",
       "      <td>-5.088389</td>\n",
       "      <td>-4.363636</td>\n",
       "      <td>-5.403729</td>\n",
       "      <td>0.754533</td>\n",
       "      <td>1.107861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>Blount County</td>\n",
       "      <td>57322</td>\n",
       "      <td>57322</td>\n",
       "      <td>57373</td>\n",
       "      <td>...</td>\n",
       "      <td>1.807375</td>\n",
       "      <td>-1.177622</td>\n",
       "      <td>-1.748766</td>\n",
       "      <td>-2.062535</td>\n",
       "      <td>-1.369970</td>\n",
       "      <td>1.859511</td>\n",
       "      <td>-0.848580</td>\n",
       "      <td>-1.402476</td>\n",
       "      <td>-1.577232</td>\n",
       "      <td>-0.884411</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 100 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   SUMLEV  REGION  DIVISION  STATE  COUNTY   STNAME         CTYNAME  \\\n",
       "1      50       3         6      1       1  Alabama  Autauga County   \n",
       "2      50       3         6      1       3  Alabama  Baldwin County   \n",
       "3      50       3         6      1       5  Alabama  Barbour County   \n",
       "4      50       3         6      1       7  Alabama     Bibb County   \n",
       "5      50       3         6      1       9  Alabama   Blount County   \n",
       "\n",
       "   CENSUS2010POP  ESTIMATESBASE2010  POPESTIMATE2010     ...       \\\n",
       "1          54571              54571            54660     ...        \n",
       "2         182265             182265           183193     ...        \n",
       "3          27457              27457            27341     ...        \n",
       "4          22915              22919            22861     ...        \n",
       "5          57322              57322            57373     ...        \n",
       "\n",
       "   RDOMESTICMIG2011  RDOMESTICMIG2012  RDOMESTICMIG2013  RDOMESTICMIG2014  \\\n",
       "1          7.242091         -2.915927         -3.012349          2.265971   \n",
       "2         14.832960         17.647293         21.845705         19.243287   \n",
       "3         -4.728132         -2.500690         -7.056824         -3.904217   \n",
       "4         -5.527043         -5.068871         -6.201001         -0.177537   \n",
       "5          1.807375         -1.177622         -1.748766         -2.062535   \n",
       "\n",
       "   RDOMESTICMIG2015  RNETMIG2011  RNETMIG2012  RNETMIG2013  RNETMIG2014  \\\n",
       "1         -2.530799     7.606016    -2.626146    -2.722002     2.592270   \n",
       "2         17.197872    15.844176    18.559627    22.727626    20.317142   \n",
       "3        -10.543299    -4.874741    -2.758113    -7.167664    -3.978583   \n",
       "4          0.177258    -5.088389    -4.363636    -5.403729     0.754533   \n",
       "5         -1.369970     1.859511    -0.848580    -1.402476    -1.577232   \n",
       "\n",
       "   RNETMIG2015  \n",
       "1    -2.187333  \n",
       "2    18.293499  \n",
       "3   -10.543299  \n",
       "4     1.107861  \n",
       "5    -0.884411  \n",
       "\n",
       "[5 rows x 100 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 1177 records in group 0 for processing.\n",
      "There are 1134 records in group 1 for processing.\n",
      "There are 831 records in group 2 for processing.\n"
     ]
    }
   ],
   "source": [
    "df = df.set_index('STNAME')\n",
    "\n",
    "def fun(item):\n",
    "    if item[0]<'M':\n",
    "        return 0\n",
    "    if item[0]<'Q':\n",
    "        return 1\n",
    "    return 2\n",
    "\n",
    "for group, frame in df.groupby(fun):\n",
    "    print('There are ' + str(len(frame)) + ' records in group ' + str(group) + ' for processing.')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('census.csv')\n",
    "df = df[df['SUMLEV']==50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CENSUS2010POP</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STNAME</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Alabama</th>\n",
       "      <td>71339.343284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alaska</th>\n",
       "      <td>24490.724138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arizona</th>\n",
       "      <td>426134.466667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arkansas</th>\n",
       "      <td>38878.906667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>California</th>\n",
       "      <td>642309.586207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Colorado</th>\n",
       "      <td>78581.187500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Connecticut</th>\n",
       "      <td>446762.125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delaware</th>\n",
       "      <td>299311.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>District of Columbia</th>\n",
       "      <td>601723.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Florida</th>\n",
       "      <td>280616.567164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Georgia</th>\n",
       "      <td>60928.635220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hawaii</th>\n",
       "      <td>272060.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idaho</th>\n",
       "      <td>35626.863636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Illinois</th>\n",
       "      <td>125790.509804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiana</th>\n",
       "      <td>70476.108696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iowa</th>\n",
       "      <td>30771.262626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kansas</th>\n",
       "      <td>27172.552381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kentucky</th>\n",
       "      <td>36161.391667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Louisiana</th>\n",
       "      <td>70833.937500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maine</th>\n",
       "      <td>83022.562500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maryland</th>\n",
       "      <td>240564.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Massachusetts</th>\n",
       "      <td>467687.785714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Michigan</th>\n",
       "      <td>119080.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minnesota</th>\n",
       "      <td>60964.655172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mississippi</th>\n",
       "      <td>36186.548780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Missouri</th>\n",
       "      <td>52077.626087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montana</th>\n",
       "      <td>17668.125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nebraska</th>\n",
       "      <td>19638.075269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nevada</th>\n",
       "      <td>158855.941176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Hampshire</th>\n",
       "      <td>131647.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Jersey</th>\n",
       "      <td>418661.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Mexico</th>\n",
       "      <td>62399.363636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York</th>\n",
       "      <td>312550.032258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Carolina</th>\n",
       "      <td>95354.830000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Dakota</th>\n",
       "      <td>12690.396226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ohio</th>\n",
       "      <td>131096.636364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oklahoma</th>\n",
       "      <td>48718.844156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oregon</th>\n",
       "      <td>106418.722222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pennsylvania</th>\n",
       "      <td>189587.746269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rhode Island</th>\n",
       "      <td>210513.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Carolina</th>\n",
       "      <td>100551.391304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Dakota</th>\n",
       "      <td>12336.060606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tennessee</th>\n",
       "      <td>66801.105263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Texas</th>\n",
       "      <td>98998.271654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utah</th>\n",
       "      <td>95306.379310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vermont</th>\n",
       "      <td>44695.785714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virginia</th>\n",
       "      <td>60111.293233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington</th>\n",
       "      <td>172424.102564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Virginia</th>\n",
       "      <td>33690.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wisconsin</th>\n",
       "      <td>78985.916667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wyoming</th>\n",
       "      <td>24505.478261</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      CENSUS2010POP\n",
       "STNAME                             \n",
       "Alabama                71339.343284\n",
       "Alaska                 24490.724138\n",
       "Arizona               426134.466667\n",
       "Arkansas               38878.906667\n",
       "California            642309.586207\n",
       "Colorado               78581.187500\n",
       "Connecticut           446762.125000\n",
       "Delaware              299311.333333\n",
       "District of Columbia  601723.000000\n",
       "Florida               280616.567164\n",
       "Georgia                60928.635220\n",
       "Hawaii                272060.200000\n",
       "Idaho                  35626.863636\n",
       "Illinois              125790.509804\n",
       "Indiana                70476.108696\n",
       "Iowa                   30771.262626\n",
       "Kansas                 27172.552381\n",
       "Kentucky               36161.391667\n",
       "Louisiana              70833.937500\n",
       "Maine                  83022.562500\n",
       "Maryland              240564.666667\n",
       "Massachusetts         467687.785714\n",
       "Michigan              119080.000000\n",
       "Minnesota              60964.655172\n",
       "Mississippi            36186.548780\n",
       "Missouri               52077.626087\n",
       "Montana                17668.125000\n",
       "Nebraska               19638.075269\n",
       "Nevada                158855.941176\n",
       "New Hampshire         131647.000000\n",
       "New Jersey            418661.619048\n",
       "New Mexico             62399.363636\n",
       "New York              312550.032258\n",
       "North Carolina         95354.830000\n",
       "North Dakota           12690.396226\n",
       "Ohio                  131096.636364\n",
       "Oklahoma               48718.844156\n",
       "Oregon                106418.722222\n",
       "Pennsylvania          189587.746269\n",
       "Rhode Island          210513.400000\n",
       "South Carolina        100551.391304\n",
       "South Dakota           12336.060606\n",
       "Tennessee              66801.105263\n",
       "Texas                  98998.271654\n",
       "Utah                   95306.379310\n",
       "Vermont                44695.785714\n",
       "Virginia               60111.293233\n",
       "Washington            172424.102564\n",
       "West Virginia          33690.800000\n",
       "Wisconsin              78985.916667\n",
       "Wyoming                24505.478261"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('STNAME').agg({'CENSUS2010POP': np.average})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.groupby.DataFrameGroupBy'>\n",
      "<class 'pandas.core.groupby.SeriesGroupBy'>\n"
     ]
    }
   ],
   "source": [
    "print(type(df.groupby(level=0)['POPESTIMATE2010','POPESTIMATE2011']))\n",
    "print(type(df.groupby(level=0)['POPESTIMATE2010']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>avg</th>\n",
       "      <th>sum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STNAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Alabama</th>\n",
       "      <td>71339.343284</td>\n",
       "      <td>4779736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alaska</th>\n",
       "      <td>24490.724138</td>\n",
       "      <td>710231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arizona</th>\n",
       "      <td>426134.466667</td>\n",
       "      <td>6392017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arkansas</th>\n",
       "      <td>38878.906667</td>\n",
       "      <td>2915918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>California</th>\n",
       "      <td>642309.586207</td>\n",
       "      <td>37253956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Colorado</th>\n",
       "      <td>78581.187500</td>\n",
       "      <td>5029196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Connecticut</th>\n",
       "      <td>446762.125000</td>\n",
       "      <td>3574097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delaware</th>\n",
       "      <td>299311.333333</td>\n",
       "      <td>897934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>District of Columbia</th>\n",
       "      <td>601723.000000</td>\n",
       "      <td>601723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Florida</th>\n",
       "      <td>280616.567164</td>\n",
       "      <td>18801310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Georgia</th>\n",
       "      <td>60928.635220</td>\n",
       "      <td>9687653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hawaii</th>\n",
       "      <td>272060.200000</td>\n",
       "      <td>1360301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idaho</th>\n",
       "      <td>35626.863636</td>\n",
       "      <td>1567582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Illinois</th>\n",
       "      <td>125790.509804</td>\n",
       "      <td>12830632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiana</th>\n",
       "      <td>70476.108696</td>\n",
       "      <td>6483802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iowa</th>\n",
       "      <td>30771.262626</td>\n",
       "      <td>3046355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kansas</th>\n",
       "      <td>27172.552381</td>\n",
       "      <td>2853118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kentucky</th>\n",
       "      <td>36161.391667</td>\n",
       "      <td>4339367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Louisiana</th>\n",
       "      <td>70833.937500</td>\n",
       "      <td>4533372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maine</th>\n",
       "      <td>83022.562500</td>\n",
       "      <td>1328361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maryland</th>\n",
       "      <td>240564.666667</td>\n",
       "      <td>5773552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Massachusetts</th>\n",
       "      <td>467687.785714</td>\n",
       "      <td>6547629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Michigan</th>\n",
       "      <td>119080.000000</td>\n",
       "      <td>9883640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minnesota</th>\n",
       "      <td>60964.655172</td>\n",
       "      <td>5303925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mississippi</th>\n",
       "      <td>36186.548780</td>\n",
       "      <td>2967297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Missouri</th>\n",
       "      <td>52077.626087</td>\n",
       "      <td>5988927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montana</th>\n",
       "      <td>17668.125000</td>\n",
       "      <td>989415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nebraska</th>\n",
       "      <td>19638.075269</td>\n",
       "      <td>1826341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nevada</th>\n",
       "      <td>158855.941176</td>\n",
       "      <td>2700551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Hampshire</th>\n",
       "      <td>131647.000000</td>\n",
       "      <td>1316470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Jersey</th>\n",
       "      <td>418661.619048</td>\n",
       "      <td>8791894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Mexico</th>\n",
       "      <td>62399.363636</td>\n",
       "      <td>2059179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York</th>\n",
       "      <td>312550.032258</td>\n",
       "      <td>19378102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Carolina</th>\n",
       "      <td>95354.830000</td>\n",
       "      <td>9535483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Dakota</th>\n",
       "      <td>12690.396226</td>\n",
       "      <td>672591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ohio</th>\n",
       "      <td>131096.636364</td>\n",
       "      <td>11536504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oklahoma</th>\n",
       "      <td>48718.844156</td>\n",
       "      <td>3751351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oregon</th>\n",
       "      <td>106418.722222</td>\n",
       "      <td>3831074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pennsylvania</th>\n",
       "      <td>189587.746269</td>\n",
       "      <td>12702379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rhode Island</th>\n",
       "      <td>210513.400000</td>\n",
       "      <td>1052567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Carolina</th>\n",
       "      <td>100551.391304</td>\n",
       "      <td>4625364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Dakota</th>\n",
       "      <td>12336.060606</td>\n",
       "      <td>814180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tennessee</th>\n",
       "      <td>66801.105263</td>\n",
       "      <td>6346105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Texas</th>\n",
       "      <td>98998.271654</td>\n",
       "      <td>25145561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utah</th>\n",
       "      <td>95306.379310</td>\n",
       "      <td>2763885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vermont</th>\n",
       "      <td>44695.785714</td>\n",
       "      <td>625741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virginia</th>\n",
       "      <td>60111.293233</td>\n",
       "      <td>7994802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington</th>\n",
       "      <td>172424.102564</td>\n",
       "      <td>6724540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Virginia</th>\n",
       "      <td>33690.800000</td>\n",
       "      <td>1852994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wisconsin</th>\n",
       "      <td>78985.916667</td>\n",
       "      <td>5686986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wyoming</th>\n",
       "      <td>24505.478261</td>\n",
       "      <td>563626</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                avg       sum\n",
       "STNAME                                       \n",
       "Alabama                71339.343284   4779736\n",
       "Alaska                 24490.724138    710231\n",
       "Arizona               426134.466667   6392017\n",
       "Arkansas               38878.906667   2915918\n",
       "California            642309.586207  37253956\n",
       "Colorado               78581.187500   5029196\n",
       "Connecticut           446762.125000   3574097\n",
       "Delaware              299311.333333    897934\n",
       "District of Columbia  601723.000000    601723\n",
       "Florida               280616.567164  18801310\n",
       "Georgia                60928.635220   9687653\n",
       "Hawaii                272060.200000   1360301\n",
       "Idaho                  35626.863636   1567582\n",
       "Illinois              125790.509804  12830632\n",
       "Indiana                70476.108696   6483802\n",
       "Iowa                   30771.262626   3046355\n",
       "Kansas                 27172.552381   2853118\n",
       "Kentucky               36161.391667   4339367\n",
       "Louisiana              70833.937500   4533372\n",
       "Maine                  83022.562500   1328361\n",
       "Maryland              240564.666667   5773552\n",
       "Massachusetts         467687.785714   6547629\n",
       "Michigan              119080.000000   9883640\n",
       "Minnesota              60964.655172   5303925\n",
       "Mississippi            36186.548780   2967297\n",
       "Missouri               52077.626087   5988927\n",
       "Montana                17668.125000    989415\n",
       "Nebraska               19638.075269   1826341\n",
       "Nevada                158855.941176   2700551\n",
       "New Hampshire         131647.000000   1316470\n",
       "New Jersey            418661.619048   8791894\n",
       "New Mexico             62399.363636   2059179\n",
       "New York              312550.032258  19378102\n",
       "North Carolina         95354.830000   9535483\n",
       "North Dakota           12690.396226    672591\n",
       "Ohio                  131096.636364  11536504\n",
       "Oklahoma               48718.844156   3751351\n",
       "Oregon                106418.722222   3831074\n",
       "Pennsylvania          189587.746269  12702379\n",
       "Rhode Island          210513.400000   1052567\n",
       "South Carolina        100551.391304   4625364\n",
       "South Dakota           12336.060606    814180\n",
       "Tennessee              66801.105263   6346105\n",
       "Texas                  98998.271654  25145561\n",
       "Utah                   95306.379310   2763885\n",
       "Vermont                44695.785714    625741\n",
       "Virginia               60111.293233   7994802\n",
       "Washington            172424.102564   6724540\n",
       "West Virginia          33690.800000   1852994\n",
       "Wisconsin              78985.916667   5686986\n",
       "Wyoming                24505.478261    563626"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df.set_index('STNAME').groupby(level=0)['CENSUS2010POP']\n",
    "    .agg({'avg': np.average, 'sum': np.sum}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">avg</th>\n",
       "      <th colspan=\"2\" halign=\"left\">sum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>POPESTIMATE2010</th>\n",
       "      <th>POPESTIMATE2011</th>\n",
       "      <th>POPESTIMATE2010</th>\n",
       "      <th>POPESTIMATE2011</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STNAME</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Alabama</th>\n",
       "      <td>71420.313433</td>\n",
       "      <td>71658.328358</td>\n",
       "      <td>4785161</td>\n",
       "      <td>4801108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alaska</th>\n",
       "      <td>24621.413793</td>\n",
       "      <td>24921.379310</td>\n",
       "      <td>714021</td>\n",
       "      <td>722720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arizona</th>\n",
       "      <td>427213.866667</td>\n",
       "      <td>431248.800000</td>\n",
       "      <td>6408208</td>\n",
       "      <td>6468732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arkansas</th>\n",
       "      <td>38965.253333</td>\n",
       "      <td>39180.506667</td>\n",
       "      <td>2922394</td>\n",
       "      <td>2938538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>California</th>\n",
       "      <td>643691.017241</td>\n",
       "      <td>650000.586207</td>\n",
       "      <td>37334079</td>\n",
       "      <td>37700034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Colorado</th>\n",
       "      <td>78878.968750</td>\n",
       "      <td>79991.875000</td>\n",
       "      <td>5048254</td>\n",
       "      <td>5119480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Connecticut</th>\n",
       "      <td>447464.625000</td>\n",
       "      <td>448719.875000</td>\n",
       "      <td>3579717</td>\n",
       "      <td>3589759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delaware</th>\n",
       "      <td>299930.333333</td>\n",
       "      <td>302638.666667</td>\n",
       "      <td>899791</td>\n",
       "      <td>907916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>District of Columbia</th>\n",
       "      <td>605126.000000</td>\n",
       "      <td>620472.000000</td>\n",
       "      <td>605126</td>\n",
       "      <td>620472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Florida</th>\n",
       "      <td>281341.641791</td>\n",
       "      <td>285157.208955</td>\n",
       "      <td>18849890</td>\n",
       "      <td>19105533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Georgia</th>\n",
       "      <td>61090.905660</td>\n",
       "      <td>61712.452830</td>\n",
       "      <td>9713454</td>\n",
       "      <td>9812280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hawaii</th>\n",
       "      <td>272796.000000</td>\n",
       "      <td>275645.400000</td>\n",
       "      <td>1363980</td>\n",
       "      <td>1378227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idaho</th>\n",
       "      <td>35704.227273</td>\n",
       "      <td>36003.045455</td>\n",
       "      <td>1570986</td>\n",
       "      <td>1584134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Illinois</th>\n",
       "      <td>125894.598039</td>\n",
       "      <td>126096.882353</td>\n",
       "      <td>12841249</td>\n",
       "      <td>12861882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiana</th>\n",
       "      <td>70549.891304</td>\n",
       "      <td>70835.271739</td>\n",
       "      <td>6490590</td>\n",
       "      <td>6516845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iowa</th>\n",
       "      <td>30815.090909</td>\n",
       "      <td>30963.525253</td>\n",
       "      <td>3050694</td>\n",
       "      <td>3065389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kansas</th>\n",
       "      <td>27226.895238</td>\n",
       "      <td>27332.542857</td>\n",
       "      <td>2858824</td>\n",
       "      <td>2869917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kentucky</th>\n",
       "      <td>36232.808333</td>\n",
       "      <td>36399.016667</td>\n",
       "      <td>4347937</td>\n",
       "      <td>4367882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Louisiana</th>\n",
       "      <td>71014.859375</td>\n",
       "      <td>71490.328125</td>\n",
       "      <td>4544951</td>\n",
       "      <td>4575381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maine</th>\n",
       "      <td>82980.937500</td>\n",
       "      <td>83016.062500</td>\n",
       "      <td>1327695</td>\n",
       "      <td>1328257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maryland</th>\n",
       "      <td>241183.708333</td>\n",
       "      <td>243507.125000</td>\n",
       "      <td>5788409</td>\n",
       "      <td>5844171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Massachusetts</th>\n",
       "      <td>468931.142857</td>\n",
       "      <td>472271.214286</td>\n",
       "      <td>6565036</td>\n",
       "      <td>6611797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Michigan</th>\n",
       "      <td>119004.445783</td>\n",
       "      <td>118995.048193</td>\n",
       "      <td>9877369</td>\n",
       "      <td>9876589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minnesota</th>\n",
       "      <td>61044.862069</td>\n",
       "      <td>61472.632184</td>\n",
       "      <td>5310903</td>\n",
       "      <td>5348119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mississippi</th>\n",
       "      <td>36223.365854</td>\n",
       "      <td>36317.060976</td>\n",
       "      <td>2970316</td>\n",
       "      <td>2977999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Missouri</th>\n",
       "      <td>52139.582609</td>\n",
       "      <td>52265.973913</td>\n",
       "      <td>5996052</td>\n",
       "      <td>6010587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montana</th>\n",
       "      <td>17690.053571</td>\n",
       "      <td>17816.892857</td>\n",
       "      <td>990643</td>\n",
       "      <td>997746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nebraska</th>\n",
       "      <td>19677.688172</td>\n",
       "      <td>19810.569892</td>\n",
       "      <td>1830025</td>\n",
       "      <td>1842383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nevada</th>\n",
       "      <td>159025.882353</td>\n",
       "      <td>159930.529412</td>\n",
       "      <td>2703440</td>\n",
       "      <td>2718819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Hampshire</th>\n",
       "      <td>131670.800000</td>\n",
       "      <td>131834.400000</td>\n",
       "      <td>1316708</td>\n",
       "      <td>1318344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Jersey</th>\n",
       "      <td>419232.428571</td>\n",
       "      <td>421092.095238</td>\n",
       "      <td>8803881</td>\n",
       "      <td>8842934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Mexico</th>\n",
       "      <td>62567.909091</td>\n",
       "      <td>62976.545455</td>\n",
       "      <td>2064741</td>\n",
       "      <td>2078226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York</th>\n",
       "      <td>312950.322581</td>\n",
       "      <td>314890.354839</td>\n",
       "      <td>19402920</td>\n",
       "      <td>19523202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Carolina</th>\n",
       "      <td>95589.790000</td>\n",
       "      <td>96510.250000</td>\n",
       "      <td>9558979</td>\n",
       "      <td>9651025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Dakota</th>\n",
       "      <td>12726.981132</td>\n",
       "      <td>12930.679245</td>\n",
       "      <td>674530</td>\n",
       "      <td>685326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ohio</th>\n",
       "      <td>131145.068182</td>\n",
       "      <td>131198.204545</td>\n",
       "      <td>11540766</td>\n",
       "      <td>11545442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oklahoma</th>\n",
       "      <td>48825.922078</td>\n",
       "      <td>49176.961039</td>\n",
       "      <td>3759596</td>\n",
       "      <td>3786626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oregon</th>\n",
       "      <td>106610.333333</td>\n",
       "      <td>107458.583333</td>\n",
       "      <td>3837972</td>\n",
       "      <td>3868509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pennsylvania</th>\n",
       "      <td>189731.552239</td>\n",
       "      <td>190226.895522</td>\n",
       "      <td>12712014</td>\n",
       "      <td>12745202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rhode Island</th>\n",
       "      <td>210643.800000</td>\n",
       "      <td>210371.200000</td>\n",
       "      <td>1053219</td>\n",
       "      <td>1051856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Carolina</th>\n",
       "      <td>100780.304348</td>\n",
       "      <td>101581.152174</td>\n",
       "      <td>4635894</td>\n",
       "      <td>4672733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Dakota</th>\n",
       "      <td>12368.166667</td>\n",
       "      <td>12489.227273</td>\n",
       "      <td>816299</td>\n",
       "      <td>824289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tennessee</th>\n",
       "      <td>66911.421053</td>\n",
       "      <td>67351.663158</td>\n",
       "      <td>6356585</td>\n",
       "      <td>6398408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Texas</th>\n",
       "      <td>99387.255906</td>\n",
       "      <td>101001.826772</td>\n",
       "      <td>25244363</td>\n",
       "      <td>25654464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utah</th>\n",
       "      <td>95704.344828</td>\n",
       "      <td>97118.620690</td>\n",
       "      <td>2775426</td>\n",
       "      <td>2816440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vermont</th>\n",
       "      <td>44713.142857</td>\n",
       "      <td>44763.357143</td>\n",
       "      <td>625984</td>\n",
       "      <td>626687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virginia</th>\n",
       "      <td>60344.263158</td>\n",
       "      <td>60983.330827</td>\n",
       "      <td>8025787</td>\n",
       "      <td>8110783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington</th>\n",
       "      <td>172898.974359</td>\n",
       "      <td>174954.589744</td>\n",
       "      <td>6743060</td>\n",
       "      <td>6823229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Virginia</th>\n",
       "      <td>33713.181818</td>\n",
       "      <td>33726.327273</td>\n",
       "      <td>1854225</td>\n",
       "      <td>1854948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wisconsin</th>\n",
       "      <td>79030.611111</td>\n",
       "      <td>79301.666667</td>\n",
       "      <td>5690204</td>\n",
       "      <td>5709720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wyoming</th>\n",
       "      <td>24544.173913</td>\n",
       "      <td>24685.565217</td>\n",
       "      <td>564516</td>\n",
       "      <td>567768</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 avg                             sum  \\\n",
       "                     POPESTIMATE2010 POPESTIMATE2011 POPESTIMATE2010   \n",
       "STNAME                                                                 \n",
       "Alabama                 71420.313433    71658.328358         4785161   \n",
       "Alaska                  24621.413793    24921.379310          714021   \n",
       "Arizona                427213.866667   431248.800000         6408208   \n",
       "Arkansas                38965.253333    39180.506667         2922394   \n",
       "California             643691.017241   650000.586207        37334079   \n",
       "Colorado                78878.968750    79991.875000         5048254   \n",
       "Connecticut            447464.625000   448719.875000         3579717   \n",
       "Delaware               299930.333333   302638.666667          899791   \n",
       "District of Columbia   605126.000000   620472.000000          605126   \n",
       "Florida                281341.641791   285157.208955        18849890   \n",
       "Georgia                 61090.905660    61712.452830         9713454   \n",
       "Hawaii                 272796.000000   275645.400000         1363980   \n",
       "Idaho                   35704.227273    36003.045455         1570986   \n",
       "Illinois               125894.598039   126096.882353        12841249   \n",
       "Indiana                 70549.891304    70835.271739         6490590   \n",
       "Iowa                    30815.090909    30963.525253         3050694   \n",
       "Kansas                  27226.895238    27332.542857         2858824   \n",
       "Kentucky                36232.808333    36399.016667         4347937   \n",
       "Louisiana               71014.859375    71490.328125         4544951   \n",
       "Maine                   82980.937500    83016.062500         1327695   \n",
       "Maryland               241183.708333   243507.125000         5788409   \n",
       "Massachusetts          468931.142857   472271.214286         6565036   \n",
       "Michigan               119004.445783   118995.048193         9877369   \n",
       "Minnesota               61044.862069    61472.632184         5310903   \n",
       "Mississippi             36223.365854    36317.060976         2970316   \n",
       "Missouri                52139.582609    52265.973913         5996052   \n",
       "Montana                 17690.053571    17816.892857          990643   \n",
       "Nebraska                19677.688172    19810.569892         1830025   \n",
       "Nevada                 159025.882353   159930.529412         2703440   \n",
       "New Hampshire          131670.800000   131834.400000         1316708   \n",
       "New Jersey             419232.428571   421092.095238         8803881   \n",
       "New Mexico              62567.909091    62976.545455         2064741   \n",
       "New York               312950.322581   314890.354839        19402920   \n",
       "North Carolina          95589.790000    96510.250000         9558979   \n",
       "North Dakota            12726.981132    12930.679245          674530   \n",
       "Ohio                   131145.068182   131198.204545        11540766   \n",
       "Oklahoma                48825.922078    49176.961039         3759596   \n",
       "Oregon                 106610.333333   107458.583333         3837972   \n",
       "Pennsylvania           189731.552239   190226.895522        12712014   \n",
       "Rhode Island           210643.800000   210371.200000         1053219   \n",
       "South Carolina         100780.304348   101581.152174         4635894   \n",
       "South Dakota            12368.166667    12489.227273          816299   \n",
       "Tennessee               66911.421053    67351.663158         6356585   \n",
       "Texas                   99387.255906   101001.826772        25244363   \n",
       "Utah                    95704.344828    97118.620690         2775426   \n",
       "Vermont                 44713.142857    44763.357143          625984   \n",
       "Virginia                60344.263158    60983.330827         8025787   \n",
       "Washington             172898.974359   174954.589744         6743060   \n",
       "West Virginia           33713.181818    33726.327273         1854225   \n",
       "Wisconsin               79030.611111    79301.666667         5690204   \n",
       "Wyoming                 24544.173913    24685.565217          564516   \n",
       "\n",
       "                                      \n",
       "                     POPESTIMATE2011  \n",
       "STNAME                                \n",
       "Alabama                      4801108  \n",
       "Alaska                        722720  \n",
       "Arizona                      6468732  \n",
       "Arkansas                     2938538  \n",
       "California                  37700034  \n",
       "Colorado                     5119480  \n",
       "Connecticut                  3589759  \n",
       "Delaware                      907916  \n",
       "District of Columbia          620472  \n",
       "Florida                     19105533  \n",
       "Georgia                      9812280  \n",
       "Hawaii                       1378227  \n",
       "Idaho                        1584134  \n",
       "Illinois                    12861882  \n",
       "Indiana                      6516845  \n",
       "Iowa                         3065389  \n",
       "Kansas                       2869917  \n",
       "Kentucky                     4367882  \n",
       "Louisiana                    4575381  \n",
       "Maine                        1328257  \n",
       "Maryland                     5844171  \n",
       "Massachusetts                6611797  \n",
       "Michigan                     9876589  \n",
       "Minnesota                    5348119  \n",
       "Mississippi                  2977999  \n",
       "Missouri                     6010587  \n",
       "Montana                       997746  \n",
       "Nebraska                     1842383  \n",
       "Nevada                       2718819  \n",
       "New Hampshire                1318344  \n",
       "New Jersey                   8842934  \n",
       "New Mexico                   2078226  \n",
       "New York                    19523202  \n",
       "North Carolina               9651025  \n",
       "North Dakota                  685326  \n",
       "Ohio                        11545442  \n",
       "Oklahoma                     3786626  \n",
       "Oregon                       3868509  \n",
       "Pennsylvania                12745202  \n",
       "Rhode Island                 1051856  \n",
       "South Carolina               4672733  \n",
       "South Dakota                  824289  \n",
       "Tennessee                    6398408  \n",
       "Texas                       25654464  \n",
       "Utah                         2816440  \n",
       "Vermont                       626687  \n",
       "Virginia                     8110783  \n",
       "Washington                   6823229  \n",
       "West Virginia                1854948  \n",
       "Wisconsin                    5709720  \n",
       "Wyoming                       567768  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df.set_index('STNAME').groupby(level=0)['POPESTIMATE2010','POPESTIMATE2011']\n",
    "    .agg({'avg': np.average, 'sum': np.sum}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "(df.set_index('STNAME').groupby(level=0)['POPESTIMATE2010','POPESTIMATE2011']\n",
    "    .agg({'POPESTIMATE2010': np.average, 'POPESTIMATE2011': np.sum}))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Grades</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>excellent</th>\n",
       "      <td>A+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>excellent</th>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>excellent</th>\n",
       "      <td>A-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>good</th>\n",
       "      <td>B+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>good</th>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>good</th>\n",
       "      <td>B-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ok</th>\n",
       "      <td>C+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ok</th>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ok</th>\n",
       "      <td>C-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>poor</th>\n",
       "      <td>D+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>poor</th>\n",
       "      <td>D</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Grades\n",
       "excellent     A+\n",
       "excellent      A\n",
       "excellent     A-\n",
       "good          B+\n",
       "good           B\n",
       "good          B-\n",
       "ok            C+\n",
       "ok             C\n",
       "ok            C-\n",
       "poor          D+\n",
       "poor           D"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(['A+', 'A', 'A-', 'B+', 'B', 'B-', 'C+', 'C', 'C-', 'D+', 'D'],\n",
    "                  index=['excellent', 'excellent', 'excellent', 'good', 'good', 'good', 'ok', 'ok', 'ok', 'poor', 'poor'])\n",
    "df.rename(columns={0: 'Grades'}, inplace=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "excellent    A+\n",
       "excellent     A\n",
       "excellent    A-\n",
       "good         B+\n",
       "good          B\n",
       "Name: Grades, dtype: category\n",
       "Categories (11, object): [A, A+, A-, B, ..., C+, C-, D, D+]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Grades'].astype('category').head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "excellent    A+\n",
       "excellent     A\n",
       "excellent    A-\n",
       "good         B+\n",
       "good          B\n",
       "Name: Grades, dtype: category\n",
       "Categories (11, object): [D < D+ < C- < C ... B+ < A- < A < A+]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grades = df['Grades'].astype('category',\n",
    "                             categories=['D', 'D+', 'C-', 'C', 'C+', 'B-', 'B', 'B+', 'A-', 'A', 'A+'],\n",
    "                             ordered=True)\n",
    "grades.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "excellent     True\n",
       "excellent     True\n",
       "excellent     True\n",
       "good          True\n",
       "good          True\n",
       "good          True\n",
       "ok            True\n",
       "ok           False\n",
       "ok           False\n",
       "poor         False\n",
       "poor         False\n",
       "Name: Grades, dtype: bool"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grades > 'C'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "STNAME\n",
       "Alabama                  (11706.0871, 75333.413]\n",
       "Alaska                   (11706.0871, 75333.413]\n",
       "Arizona                 (390320.176, 453317.529]\n",
       "Arkansas                 (11706.0871, 75333.413]\n",
       "California              (579312.234, 642309.586]\n",
       "Colorado                 (75333.413, 138330.766]\n",
       "Connecticut             (390320.176, 453317.529]\n",
       "Delaware                (264325.471, 327322.823]\n",
       "District of Columbia    (579312.234, 642309.586]\n",
       "Florida                 (264325.471, 327322.823]\n",
       "Georgia                  (11706.0871, 75333.413]\n",
       "Hawaii                  (264325.471, 327322.823]\n",
       "Idaho                    (11706.0871, 75333.413]\n",
       "Illinois                 (75333.413, 138330.766]\n",
       "Indiana                  (11706.0871, 75333.413]\n",
       "Iowa                     (11706.0871, 75333.413]\n",
       "Kansas                   (11706.0871, 75333.413]\n",
       "Kentucky                 (11706.0871, 75333.413]\n",
       "Louisiana                (11706.0871, 75333.413]\n",
       "Maine                    (75333.413, 138330.766]\n",
       "Maryland                (201328.118, 264325.471]\n",
       "Massachusetts           (453317.529, 516314.881]\n",
       "Michigan                 (75333.413, 138330.766]\n",
       "Minnesota                (11706.0871, 75333.413]\n",
       "Mississippi              (11706.0871, 75333.413]\n",
       "Missouri                 (11706.0871, 75333.413]\n",
       "Montana                  (11706.0871, 75333.413]\n",
       "Nebraska                 (11706.0871, 75333.413]\n",
       "Nevada                  (138330.766, 201328.118]\n",
       "New Hampshire            (75333.413, 138330.766]\n",
       "New Jersey              (390320.176, 453317.529]\n",
       "New Mexico               (11706.0871, 75333.413]\n",
       "New York                (264325.471, 327322.823]\n",
       "North Carolina           (75333.413, 138330.766]\n",
       "North Dakota             (11706.0871, 75333.413]\n",
       "Ohio                     (75333.413, 138330.766]\n",
       "Oklahoma                 (11706.0871, 75333.413]\n",
       "Oregon                   (75333.413, 138330.766]\n",
       "Pennsylvania            (138330.766, 201328.118]\n",
       "Rhode Island            (201328.118, 264325.471]\n",
       "South Carolina           (75333.413, 138330.766]\n",
       "South Dakota             (11706.0871, 75333.413]\n",
       "Tennessee                (11706.0871, 75333.413]\n",
       "Texas                    (75333.413, 138330.766]\n",
       "Utah                     (75333.413, 138330.766]\n",
       "Vermont                  (11706.0871, 75333.413]\n",
       "Virginia                 (11706.0871, 75333.413]\n",
       "Washington              (138330.766, 201328.118]\n",
       "West Virginia            (11706.0871, 75333.413]\n",
       "Wisconsin                (75333.413, 138330.766]\n",
       "Wyoming                  (11706.0871, 75333.413]\n",
       "Name: avg, dtype: category\n",
       "Categories (10, object): [(11706.0871, 75333.413] < (75333.413, 138330.766] < (138330.766, 201328.118] < (201328.118, 264325.471] ... (390320.176, 453317.529] < (453317.529, 516314.881] < (516314.881, 579312.234] < (579312.234, 642309.586]]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('census.csv')\n",
    "df = df[df['SUMLEV']==50]\n",
    "df = df.set_index('STNAME').groupby(level=0)['CENSUS2010POP'].agg({'avg': np.average})\n",
    "pd.cut(df['avg'],10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pivot Tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#http://open.canada.ca/data/en/dataset/98f1a129-f628-4ce4-b24d-6f16bf24dd64\n",
    "df = pd.read_csv('cars.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>YEAR</th>\n",
       "      <th>Make</th>\n",
       "      <th>Model</th>\n",
       "      <th>Size</th>\n",
       "      <th>(kW)</th>\n",
       "      <th>Unnamed: 5</th>\n",
       "      <th>TYPE</th>\n",
       "      <th>CITY (kWh/100 km)</th>\n",
       "      <th>HWY (kWh/100 km)</th>\n",
       "      <th>COMB (kWh/100 km)</th>\n",
       "      <th>CITY (Le/100 km)</th>\n",
       "      <th>HWY (Le/100 km)</th>\n",
       "      <th>COMB (Le/100 km)</th>\n",
       "      <th>(g/km)</th>\n",
       "      <th>RATING</th>\n",
       "      <th>(km)</th>\n",
       "      <th>TIME (h)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012</td>\n",
       "      <td>MITSUBISHI</td>\n",
       "      <td>i-MiEV</td>\n",
       "      <td>SUBCOMPACT</td>\n",
       "      <td>49</td>\n",
       "      <td>A1</td>\n",
       "      <td>B</td>\n",
       "      <td>16.9</td>\n",
       "      <td>21.4</td>\n",
       "      <td>18.7</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0</td>\n",
       "      <td>n/a</td>\n",
       "      <td>100</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012</td>\n",
       "      <td>NISSAN</td>\n",
       "      <td>LEAF</td>\n",
       "      <td>MID-SIZE</td>\n",
       "      <td>80</td>\n",
       "      <td>A1</td>\n",
       "      <td>B</td>\n",
       "      <td>19.3</td>\n",
       "      <td>23.0</td>\n",
       "      <td>21.1</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0</td>\n",
       "      <td>n/a</td>\n",
       "      <td>117</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2013</td>\n",
       "      <td>FORD</td>\n",
       "      <td>FOCUS ELECTRIC</td>\n",
       "      <td>COMPACT</td>\n",
       "      <td>107</td>\n",
       "      <td>A1</td>\n",
       "      <td>B</td>\n",
       "      <td>19.0</td>\n",
       "      <td>21.1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0</td>\n",
       "      <td>n/a</td>\n",
       "      <td>122</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2013</td>\n",
       "      <td>MITSUBISHI</td>\n",
       "      <td>i-MiEV</td>\n",
       "      <td>SUBCOMPACT</td>\n",
       "      <td>49</td>\n",
       "      <td>A1</td>\n",
       "      <td>B</td>\n",
       "      <td>16.9</td>\n",
       "      <td>21.4</td>\n",
       "      <td>18.7</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0</td>\n",
       "      <td>n/a</td>\n",
       "      <td>100</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013</td>\n",
       "      <td>NISSAN</td>\n",
       "      <td>LEAF</td>\n",
       "      <td>MID-SIZE</td>\n",
       "      <td>80</td>\n",
       "      <td>A1</td>\n",
       "      <td>B</td>\n",
       "      <td>19.3</td>\n",
       "      <td>23.0</td>\n",
       "      <td>21.1</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0</td>\n",
       "      <td>n/a</td>\n",
       "      <td>117</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   YEAR        Make           Model        Size  (kW) Unnamed: 5 TYPE  \\\n",
       "0  2012  MITSUBISHI          i-MiEV  SUBCOMPACT    49         A1    B   \n",
       "1  2012      NISSAN            LEAF    MID-SIZE    80         A1    B   \n",
       "2  2013        FORD  FOCUS ELECTRIC     COMPACT   107         A1    B   \n",
       "3  2013  MITSUBISHI          i-MiEV  SUBCOMPACT    49         A1    B   \n",
       "4  2013      NISSAN            LEAF    MID-SIZE    80         A1    B   \n",
       "\n",
       "   CITY (kWh/100 km)  HWY (kWh/100 km)  COMB (kWh/100 km)  CITY (Le/100 km)  \\\n",
       "0               16.9              21.4               18.7               1.9   \n",
       "1               19.3              23.0               21.1               2.2   \n",
       "2               19.0              21.1               20.0               2.1   \n",
       "3               16.9              21.4               18.7               1.9   \n",
       "4               19.3              23.0               21.1               2.2   \n",
       "\n",
       "   HWY (Le/100 km)  COMB (Le/100 km)  (g/km) RATING  (km)  TIME (h)  \n",
       "0              2.4               2.1       0    n/a   100         7  \n",
       "1              2.6               2.4       0    n/a   117         7  \n",
       "2              2.4               2.2       0    n/a   122         4  \n",
       "3              2.4               2.1       0    n/a   100         7  \n",
       "4              2.6               2.4       0    n/a   117         7  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Make</th>\n",
       "      <th>BMW</th>\n",
       "      <th>CHEVROLET</th>\n",
       "      <th>FORD</th>\n",
       "      <th>KIA</th>\n",
       "      <th>MITSUBISHI</th>\n",
       "      <th>NISSAN</th>\n",
       "      <th>SMART</th>\n",
       "      <th>TESLA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>280.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>NaN</td>\n",
       "      <td>104.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>268.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>125.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>320.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>125.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>409.700000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Make    BMW  CHEVROLET   FORD   KIA  MITSUBISHI  NISSAN  SMART       TESLA\n",
       "YEAR                                                                      \n",
       "2012    NaN        NaN    NaN   NaN        49.0    80.0    NaN         NaN\n",
       "2013    NaN        NaN  107.0   NaN        49.0    80.0   35.0  280.000000\n",
       "2014    NaN      104.0  107.0   NaN        49.0    80.0   35.0  268.333333\n",
       "2015  125.0      104.0  107.0  81.0        49.0    80.0   35.0  320.666667\n",
       "2016  125.0      104.0  107.0  81.0        49.0    80.0   35.0  409.700000"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.pivot_table(values='(kW)', index='YEAR', columns='Make', aggfunc=np.mean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"9\" halign=\"left\">mean</th>\n",
       "      <th colspan=\"9\" halign=\"left\">amin</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Make</th>\n",
       "      <th>BMW</th>\n",
       "      <th>CHEVROLET</th>\n",
       "      <th>FORD</th>\n",
       "      <th>KIA</th>\n",
       "      <th>MITSUBISHI</th>\n",
       "      <th>NISSAN</th>\n",
       "      <th>SMART</th>\n",
       "      <th>TESLA</th>\n",
       "      <th>All</th>\n",
       "      <th>BMW</th>\n",
       "      <th>CHEVROLET</th>\n",
       "      <th>FORD</th>\n",
       "      <th>KIA</th>\n",
       "      <th>MITSUBISHI</th>\n",
       "      <th>NISSAN</th>\n",
       "      <th>SMART</th>\n",
       "      <th>TESLA</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>280.000000</td>\n",
       "      <td>158.444444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>270.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>NaN</td>\n",
       "      <td>104.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>268.333333</td>\n",
       "      <td>135.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>125.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>320.666667</td>\n",
       "      <td>181.428571</td>\n",
       "      <td>125.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>125.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>409.700000</td>\n",
       "      <td>252.263158</td>\n",
       "      <td>125.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>283.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>125.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>345.478261</td>\n",
       "      <td>190.622642</td>\n",
       "      <td>125.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       mean                                                             \\\n",
       "Make    BMW CHEVROLET   FORD   KIA MITSUBISHI NISSAN SMART       TESLA   \n",
       "YEAR                                                                     \n",
       "2012    NaN       NaN    NaN   NaN       49.0   80.0   NaN         NaN   \n",
       "2013    NaN       NaN  107.0   NaN       49.0   80.0  35.0  280.000000   \n",
       "2014    NaN     104.0  107.0   NaN       49.0   80.0  35.0  268.333333   \n",
       "2015  125.0     104.0  107.0  81.0       49.0   80.0  35.0  320.666667   \n",
       "2016  125.0     104.0  107.0  81.0       49.0   80.0  35.0  409.700000   \n",
       "All   125.0     104.0  107.0  81.0       49.0   80.0  35.0  345.478261   \n",
       "\n",
       "                   amin                                                        \\\n",
       "Make         All    BMW CHEVROLET   FORD   KIA MITSUBISHI NISSAN SMART  TESLA   \n",
       "YEAR                                                                            \n",
       "2012   64.500000    NaN       NaN    NaN   NaN       49.0   80.0   NaN    NaN   \n",
       "2013  158.444444    NaN       NaN  107.0   NaN       49.0   80.0  35.0  270.0   \n",
       "2014  135.000000    NaN     104.0  107.0   NaN       49.0   80.0  35.0  225.0   \n",
       "2015  181.428571  125.0     104.0  107.0  81.0       49.0   80.0  35.0  280.0   \n",
       "2016  252.263158  125.0     104.0  107.0  81.0       49.0   80.0  35.0  283.0   \n",
       "All   190.622642  125.0     104.0  107.0  81.0       49.0   80.0  35.0  225.0   \n",
       "\n",
       "            \n",
       "Make   All  \n",
       "YEAR        \n",
       "2012  49.0  \n",
       "2013  35.0  \n",
       "2014  35.0  \n",
       "2015  35.0  \n",
       "2016  35.0  \n",
       "All   35.0  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.pivot_table(values='(kW)', index='YEAR', columns='Make', aggfunc=[np.mean,np.min], margins=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Date Functionality in Pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Timestamp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.Timestamp('9/1/2016 10:05AM')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Period"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.Period('1/2016')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Period('2016-03-05', 'D')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Period('3/5/2016')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### DatetimeIndex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2016-09-01    a\n",
       "2016-09-02    b\n",
       "2016-09-03    c\n",
       "dtype: object"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t1 = pd.Series(list('abc'), [pd.Timestamp('2016-09-01'), pd.Timestamp('2016-09-02'), pd.Timestamp('2016-09-03')])\n",
    "t1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.tseries.index.DatetimeIndex"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(t1.index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### PeriodIndex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2016-09    d\n",
       "2016-10    e\n",
       "2016-11    f\n",
       "Freq: M, dtype: object"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t2 = pd.Series(list('def'), [pd.Period('2016-09'), pd.Period('2016-10'), pd.Period('2016-11')])\n",
    "t2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.tseries.period.PeriodIndex"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(t2.index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Converting to Datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>a</th>\n",
       "      <th>b</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2 June 2013</th>\n",
       "      <td>16</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aug 29, 2014</th>\n",
       "      <td>14</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-26</th>\n",
       "      <td>59</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7/12/16</th>\n",
       "      <td>27</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               a   b\n",
       "2 June 2013   16  46\n",
       "Aug 29, 2014  14  66\n",
       "2015-06-26    59  99\n",
       "7/12/16       27  17"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d1 = ['2 June 2013', 'Aug 29, 2014', '2015-06-26', '7/12/16']\n",
    "ts3 = pd.DataFrame(np.random.randint(10, 100, (4,2)), index=d1, columns=list('ab'))\n",
    "ts3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>a</th>\n",
       "      <th>b</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-06-02</th>\n",
       "      <td>16</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-08-29</th>\n",
       "      <td>14</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-26</th>\n",
       "      <td>59</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-12</th>\n",
       "      <td>27</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             a   b\n",
       "2013-06-02  16  46\n",
       "2014-08-29  14  66\n",
       "2015-06-26  59  99\n",
       "2016-07-12  27  17"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts3.index = pd.to_datetime(ts3.index)\n",
    "ts3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2012-07-04 00:00:00')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.to_datetime('4.7.12', dayfirst=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Timedeltas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timedelta('2 days 00:00:00')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Timestamp('9/3/2016')-pd.Timestamp('9/1/2016')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2016-09-14 11:10:00')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.Timestamp('9/2/2016 8:10AM') + pd.Timedelta('12D 3H')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Working with Dates in a Dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2016-10-02', '2016-10-16', '2016-10-30', '2016-11-13',\n",
       "               '2016-11-27', '2016-12-11', '2016-12-25', '2017-01-08',\n",
       "               '2017-01-22'],\n",
       "              dtype='datetime64[ns]', freq='2W-SUN')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dates = pd.date_range('10-01-2016', periods=9, freq='2W-SUN')\n",
    "dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Count 1</th>\n",
       "      <th>Count 2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-10-02</th>\n",
       "      <td>109</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-16</th>\n",
       "      <td>116</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-30</th>\n",
       "      <td>113</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-13</th>\n",
       "      <td>119</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-27</th>\n",
       "      <td>126</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-11</th>\n",
       "      <td>129</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-25</th>\n",
       "      <td>133</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-08</th>\n",
       "      <td>141</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22</th>\n",
       "      <td>144</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Count 1  Count 2\n",
       "2016-10-02      109      129\n",
       "2016-10-16      116      115\n",
       "2016-10-30      113      126\n",
       "2016-11-13      119      129\n",
       "2016-11-27      126      119\n",
       "2016-12-11      129      116\n",
       "2016-12-25      133      129\n",
       "2017-01-08      141      122\n",
       "2017-01-22      144      129"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame({'Count 1': 100 + np.random.randint(-5, 10, 9).cumsum(),\n",
    "                  'Count 2': 120 + np.random.randint(-5, 10, 9)}, index=dates)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Sunday', 'Sunday', 'Sunday', 'Sunday', 'Sunday', 'Sunday',\n",
       "       'Sunday', 'Sunday', 'Sunday'], dtype=object)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index.weekday_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Count 1</th>\n",
       "      <th>Count 2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-10-02</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-16</th>\n",
       "      <td>7.0</td>\n",
       "      <td>-14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-30</th>\n",
       "      <td>-3.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-13</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-27</th>\n",
       "      <td>7.0</td>\n",
       "      <td>-10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-11</th>\n",
       "      <td>3.0</td>\n",
       "      <td>-3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-25</th>\n",
       "      <td>4.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-08</th>\n",
       "      <td>8.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22</th>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Count 1  Count 2\n",
       "2016-10-02      NaN      NaN\n",
       "2016-10-16      7.0    -14.0\n",
       "2016-10-30     -3.0     11.0\n",
       "2016-11-13      6.0      3.0\n",
       "2016-11-27      7.0    -10.0\n",
       "2016-12-11      3.0     -3.0\n",
       "2016-12-25      4.0     13.0\n",
       "2017-01-08      8.0     -7.0\n",
       "2017-01-22      3.0      7.0"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.diff()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Count 1</th>\n",
       "      <th>Count 2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-10-31</th>\n",
       "      <td>112.666667</td>\n",
       "      <td>123.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-30</th>\n",
       "      <td>122.500000</td>\n",
       "      <td>124.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31</th>\n",
       "      <td>131.000000</td>\n",
       "      <td>122.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-31</th>\n",
       "      <td>142.500000</td>\n",
       "      <td>125.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Count 1     Count 2\n",
       "2016-10-31  112.666667  123.333333\n",
       "2016-11-30  122.500000  124.000000\n",
       "2016-12-31  131.000000  122.500000\n",
       "2017-01-31  142.500000  125.500000"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.resample('M').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Count 1</th>\n",
       "      <th>Count 2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-01-08</th>\n",
       "      <td>141</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22</th>\n",
       "      <td>144</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Count 1  Count 2\n",
       "2017-01-08      141      122\n",
       "2017-01-22      144      129"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['2017']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Count 1</th>\n",
       "      <th>Count 2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-12-11</th>\n",
       "      <td>129</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-25</th>\n",
       "      <td>133</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Count 1  Count 2\n",
       "2016-12-11      129      116\n",
       "2016-12-25      133      129"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['2016-12']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Count 1</th>\n",
       "      <th>Count 2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-12-11</th>\n",
       "      <td>129</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-25</th>\n",
       "      <td>133</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-08</th>\n",
       "      <td>141</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22</th>\n",
       "      <td>144</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Count 1  Count 2\n",
       "2016-12-11      129      116\n",
       "2016-12-25      133      129\n",
       "2017-01-08      141      122\n",
       "2017-01-22      144      129"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['2016-12':]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Count 1</th>\n",
       "      <th>Count 2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-10-02</th>\n",
       "      <td>109</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-09</th>\n",
       "      <td>109</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-16</th>\n",
       "      <td>116</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-23</th>\n",
       "      <td>116</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-30</th>\n",
       "      <td>113</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-06</th>\n",
       "      <td>113</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-13</th>\n",
       "      <td>119</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-20</th>\n",
       "      <td>119</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-27</th>\n",
       "      <td>126</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-04</th>\n",
       "      <td>126</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-11</th>\n",
       "      <td>129</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-18</th>\n",
       "      <td>129</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-25</th>\n",
       "      <td>133</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-01</th>\n",
       "      <td>133</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-08</th>\n",
       "      <td>141</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-15</th>\n",
       "      <td>141</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22</th>\n",
       "      <td>144</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Count 1  Count 2\n",
       "2016-10-02      109      129\n",
       "2016-10-09      109      129\n",
       "2016-10-16      116      115\n",
       "2016-10-23      116      115\n",
       "2016-10-30      113      126\n",
       "2016-11-06      113      126\n",
       "2016-11-13      119      129\n",
       "2016-11-20      119      129\n",
       "2016-11-27      126      119\n",
       "2016-12-04      126      119\n",
       "2016-12-11      129      116\n",
       "2016-12-18      129      116\n",
       "2016-12-25      133      129\n",
       "2017-01-01      133      129\n",
       "2017-01-08      141      122\n",
       "2017-01-15      141      122\n",
       "2017-01-22      144      129"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.asfreq('W', method='ffill')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f8544ad0518>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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/lSly+1fDhpnQ8RmoVLfwzuPjA93es5UvV/7XztkXcMdokXM0DMHXDwb/UGQ7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\nExj9oQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f859f62ffd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Raw Cell Format",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}