collision_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from scipy.stats import pearsonr\n",
    "from scipy.stats import norm\n",
    "from scipy import stats\n",
    "\n",
    "from matplotlib import rc\n",
    "rc('font', **{'family': 'serif', 'serif': ['Computer Modern']})\n",
    "rc('text', usetex=False)\n",
    "np.set_printoptions(linewidth = 180)\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "%load_ext autotime\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py:2785: DtypeWarning: Columns (3) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 13.2 s\n"
     ]
    }
   ],
   "source": [
    "data = pd.read_csv(\"nypd_vehicle_collision.csv\")#, parse_dates = ['DATE', 'TIME'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32mpandas/_libs/tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.array_to_datetime\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/tslibs/np_datetime.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslibs.np_datetime._string_to_dts\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: Error parsing datetime string \"10/17/2016\" at position 2",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-7-55f29f578728>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'DATE'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_datetime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'DATE'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/tools/datetimes.py\u001b[0m in \u001b[0;36mto_datetime\u001b[0;34m(arg, errors, dayfirst, yearfirst, utc, box, format, exact, unit, infer_datetime_format, origin, cache)\u001b[0m\n\u001b[1;32m    449\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    450\u001b[0m             \u001b[0;32mfrom\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mSeries\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 451\u001b[0;31m             \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_convert_listlike\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_values\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    452\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mSeries\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    453\u001b[0m     \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mABCDataFrame\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mMutableMapping\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/tools/datetimes.py\u001b[0m in \u001b[0;36m_convert_listlike\u001b[0;34m(arg, box, format, name, tz)\u001b[0m\n\u001b[1;32m    366\u001b[0m                     \u001b[0mdayfirst\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdayfirst\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    367\u001b[0m                     \u001b[0myearfirst\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myearfirst\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 368\u001b[0;31m                     \u001b[0mrequire_iso8601\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequire_iso8601\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    369\u001b[0m                 )\n\u001b[1;32m    370\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.array_to_datetime\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.array_to_datetime\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/tslibs/parsing.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslibs.parsing.parse_datetime_string\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.6/site-packages/dateutil/parser/_parser.py\u001b[0m in \u001b[0;36mparse\u001b[0;34m(timestr, parserinfo, **kwargs)\u001b[0m\n\u001b[1;32m   1354\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mparser\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparserinfo\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimestr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1355\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1356\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mDEFAULTPARSER\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimestr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1357\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1358\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.6/site-packages/dateutil/parser/_parser.py\u001b[0m in \u001b[0;36mparse\u001b[0;34m(self, timestr, default, ignoretz, tzinfos, **kwargs)\u001b[0m\n\u001b[1;32m    643\u001b[0m                                                       second=0, microsecond=0)\n\u001b[1;32m    644\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 645\u001b[0;31m         \u001b[0mres\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mskipped_tokens\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimestr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    646\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    647\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mres\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.6/site-packages/dateutil/parser/_parser.py\u001b[0m in \u001b[0;36m_parse\u001b[0;34m(self, timestr, dayfirst, yearfirst, fuzzy, fuzzy_with_tokens)\u001b[0m\n\u001b[1;32m    740\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mvalue\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    741\u001b[0m                     \u001b[0;31m# Numeric token\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 742\u001b[0;31m                     \u001b[0mi\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parse_numeric_token\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ml\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minfo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mymd\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mres\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfuzzy\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    743\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    744\u001b[0m                 \u001b[0;31m# Check weekday\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.6/site-packages/dateutil/parser/_parser.py\u001b[0m in \u001b[0;36m_parse_numeric_token\u001b[0;34m(self, tokens, idx, info, ymd, res, fuzzy)\u001b[0m\n\u001b[1;32m    955\u001b[0m             \u001b[0mymd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue_repr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    956\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 957\u001b[0;31m             \u001b[0;32mif\u001b[0m \u001b[0midx\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m2\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mlen_l\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0minfo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjump\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtokens\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0midx\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    958\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mtokens\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0midx\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misdigit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    959\u001b[0m                     \u001b[0;31m# 01-01[-01]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 1min 39s\n"
     ]
    }
   ],
   "source": [
    "data['DATE'] = pd.to_datetime(data['DATE'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1295976, 29)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 10.5 ms\n"
     ]
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    1285402\n",
       "True       10574\n",
       "Name: VEHICLE TYPE CODE 1, dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 204 ms\n"
     ]
    }
   ],
   "source": [
    "data['VEHICLE TYPE CODE 1'].isna().value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "Can't pickle local object '_make_parser_function.<locals>.parser_f'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-44-63eea863fe0d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0mparallel_read_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"nypd_vehicle_collision.csv\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mskiprows\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1000000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0;31m# data_chunk = pd.read_csv(\"nypd_vehicle_collision.csv\", skiprows = range(1,10))#int(1295000*(7./8.)))\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-44-63eea863fe0d>\u001b[0m in \u001b[0;36mparallel_read_csv\u001b[0;34m(file_name, **read_csv_args)\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0mpool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmultiprocessing\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPool\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprocesses\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmultiprocessing\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcpu_count\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m     \u001b[0mdf_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpool\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfile_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;31m#, read_csv_args)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.6/multiprocessing/pool.py\u001b[0m in \u001b[0;36mmap\u001b[0;34m(self, func, iterable, chunksize)\u001b[0m\n\u001b[1;32m    264\u001b[0m         \u001b[0;32min\u001b[0m \u001b[0ma\u001b[0m \u001b[0mlist\u001b[0m \u001b[0mthat\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mreturned\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    265\u001b[0m         '''\n\u001b[0;32m--> 266\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_map_async\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0miterable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmapstar\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mchunksize\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    267\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    268\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstarmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0miterable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mchunksize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.6/multiprocessing/pool.py\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    642\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    643\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 644\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    645\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    646\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_set\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.6/multiprocessing/pool.py\u001b[0m in \u001b[0;36m_handle_tasks\u001b[0;34m(taskqueue, put, outqueue, pool, cache)\u001b[0m\n\u001b[1;32m    422\u001b[0m                         \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    423\u001b[0m                     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 424\u001b[0;31m                         \u001b[0mput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtask\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    425\u001b[0m                     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    426\u001b[0m                         \u001b[0mjob\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0midx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtask\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.6/multiprocessing/connection.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    204\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_closed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    205\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_writable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 206\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_send_bytes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_ForkingPickler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdumps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    207\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    208\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mrecv_bytes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmaxlength\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.6/multiprocessing/reduction.py\u001b[0m in \u001b[0;36mdumps\u001b[0;34m(cls, obj, protocol)\u001b[0m\n\u001b[1;32m     49\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mdumps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprotocol\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     50\u001b[0m         \u001b[0mbuf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mBytesIO\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 51\u001b[0;31m         \u001b[0mcls\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbuf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprotocol\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdump\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     52\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mbuf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetbuffer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     53\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: Can't pickle local object '_make_parser_function.<locals>.parser_f'"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 1.55 s\n"
     ]
    }
   ],
   "source": [
    "# Function to parallelize reading large data files\n",
    "\n",
    "# def parallel_read_csv(file_name, **read_csv_args):\n",
    "#     import multiprocessing\n",
    "    \n",
    "#     pool = multiprocessing.Pool(processes = multiprocessing.cpu_count())\n",
    "    \n",
    "#     df_list = pool.map(pd.read_csv, file_name)#, read_csv_args)\n",
    "    \n",
    "#     return len(df_list)\n",
    "\n",
    "# parallel_read_csv(\"nypd_vehicle_collision.csv\", skiprows = range(1,1000000))\n",
    "\n",
    "# data_chunk = pd.read_csv(\"nypd_vehicle_collision.csv\", skiprows = range(1,10))#int(1295000*(7./8.)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unspecified                                              602679\n",
       "Driver Inattention/Distraction                           198873\n",
       "Failure to Yield Right-of-Way                             64114\n",
       "Fatigued/Drowsy                                           48605\n",
       "Backing Unsafely                                          42526\n",
       "Following Too Closely                                     41279\n",
       "Other Vehicular                                           38720\n",
       "Turning Improperly                                        31798\n",
       "Lost Consciousness                                        20345\n",
       "Passing or Lane Usage Improper                            19226\n",
       "Traffic Control Disregarded                               17834\n",
       "Driver Inexperience                                       17092\n",
       "Unsafe Lane Changing                                      16146\n",
       "Prescription Medication                                   15909\n",
       "Pavement Slippery                                         13007\n",
       "Outside Car Distraction                                   11174\n",
       "Alcohol Involvement                                       11028\n",
       "Physical Disability                                        9400\n",
       "Oversized Vehicle                                          7777\n",
       "Reaction to Other Uninvolved Vehicle                       7746\n",
       "Unsafe Speed                                               7146\n",
       "View Obstructed/Limited                                    6354\n",
       "Passenger Distraction                                      5566\n",
       "Aggressive Driving/Road Rage                               4273\n",
       "Brakes Defective                                           3534\n",
       "Pedestrian/Bicyclist/Other Pedestrian Error/Confusion      2796\n",
       "Illness                                                    2672\n",
       "Glare                                                      2632\n",
       "Obstruction/Debris                                         2458\n",
       "Fell Asleep                                                2328\n",
       "Failure to Keep Right                                      2284\n",
       "Other Electronic Device                                    2283\n",
       "Pavement Defective                                         1442\n",
       "Steering Failure                                           1260\n",
       "Tire Failure/Inadequate                                    1226\n",
       "Animals Action                                              763\n",
       "Drugs (Illegal)                                             654\n",
       "Passing Too Closely                                         609\n",
       "Lane Marking Improper/Inadequate                            596\n",
       "Accelerator Defective                                       577\n",
       "Traffic Control Device Improper/Non-Working                 551\n",
       "Driverless/Runaway Vehicle                                  428\n",
       "Cell Phone (hand-held)                                      232\n",
       "Cell Phone (hands-free)                                     229\n",
       "Reaction to Uninvolved Vehicle                              181\n",
       "Tow Hitch Defective                                         111\n",
       "Other Lighting Defects                                      100\n",
       "Headlights Defective                                         72\n",
       "Windshield Inadequate                                        60\n",
       "Shoulders Defective/Improper                                 51\n",
       "Illnes                                                       12\n",
       "Drugs (illegal)                                              10\n",
       "Cell Phone (hand-Held)                                        4\n",
       "Vehicle Vandalism                                             4\n",
       "Eating or Drinking                                            3\n",
       "Using On Board Navigation Device                              1\n",
       "Listening/Using Headphones                                    1\n",
       "Tinted Windows                                                1\n",
       "Name: CONTRIBUTING FACTOR VEHICLE 1, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 370 ms\n"
     ]
    }
   ],
   "source": [
    "data['CONTRIBUTING FACTOR VEHICLE 1'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Collisions by Hour')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 4.12 s\n"
     ]
    }
   ],
   "source": [
    "ax = data.groupby(data['TIME'].dt.hour).count()['DATE'].plot(kind='bar', color = (1,0,0))\n",
    "ax.set_ylabel(\"Frequency\")\n",
    "ax.set_title(\"Collisions by Hour\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Collisions by Month')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 3.25 s\n"
     ]
    }
   ],
   "source": [
    "ax = data.groupby(data['DATE'].dt.month).count()['DATE'].plot(kind='bar', color = (1,0,0))\n",
    "ax.set_ylabel(\"Frequency\")\n",
    "ax.set_title(\"Collisions by Month\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 15.1 ms\n"
     ]
    }
   ],
   "source": [
    "data_fatal = data[data['NUMBER OF PERSONS KILLED'] != 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Frequency')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 2.51 s\n"
     ]
    }
   ],
   "source": [
    "ax = data_fatal.groupby(data_fatal['TIME'].dt.hour).count()['DATE'].plot(kind='bar', color = (1,0,0))\n",
    "ax.set_ylabel(\"Frequency\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 2.4 s\n"
     ]
    }
   ],
   "source": [
    "data_traffic = pd.read_csv(\"traffic_volume_counts_2012_2013.csv\")\n",
    "\n",
    "data_flow = data_traffic.sum()\n",
    "\n",
    "data_hourly = pd.DataFrame()\n",
    "\n",
    "data_hourly['Frequency'] = data.groupby(data['TIME'].dt.hour).count()['DATE']\n",
    "\n",
    "data_hourly['Flow'] = np.array(data_flow[7:])\n",
    "\n",
    "data_hourly['Normalized Collision Frequency'] = data_hourly['Frequency']/data_hourly['Flow']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 2.65 s\n"
     ]
    }
   ],
   "source": [
    "ax = (data_hourly['Normalized Collision Frequency']).plot(kind = 'bar', color = (1,0,0))\n",
    "\n",
    "ax.set_ylabel(\"Collisions Normalized by Traffic Flow\")\n",
    "ax.set_xlabel(\"Time (Military)\")\n",
    "ax.set_title(\"Collisions by Time of Day\")\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = [16,9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 4.3 s\n"
     ]
    }
   ],
   "source": [
    "# Plot Fatalities by hour/collisions by hour\n",
    "data_fatalities = data[data['NUMBER OF PERSONS KILLED'] > 0]\n",
    "fatalities_by_hour = data_fatalities.groupby(data_fatalities['TIME'].dt.hour).count()\n",
    "\n",
    "collisions_by_hour = data.groupby(data['TIME'].dt.hour).count()\n",
    "\n",
    "ax = (fatalities_by_hour['DATE']/collisions_by_hour['DATE']).plot(kind = 'bar', color = (1,0,0))\n",
    "ax.set_ylabel(\"Fatalties Normalized by Collisions\")\n",
    "ax.set_xlabel(\"Time (Military)\")\n",
    "ax.set_title(\"Fatality by Time of Day\")\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = [16,9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Fatality by Time of Day')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 2.36 s\n"
     ]
    }
   ],
   "source": [
    "ax = fatalities_by_hour['DATE'].plot(kind = 'bar', color = (1,0,0))\n",
    "ax.set_ylabel(\"Fatalties (Non-normalized)\")\n",
    "ax.set_xlabel(\"Time (Military)\")\n",
    "ax.set_title(\"Fatality by Time of Day\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc077ecca58>"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 2.3 s\n"
     ]
    }
   ],
   "source": [
    "data_hourly['Normalized Collision Frequency'].plot(kind = 'bar', color = (1,0,0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BROOKLYN         283893\n",
       "QUEENS           241532\n",
       "MANHATTAN        229645\n",
       "BRONX            124027\n",
       "STATEN ISLAND     42043\n",
       "Name: BOROUGH, dtype: int64"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 395 ms\n"
     ]
    }
   ],
   "source": [
    "data.BOROUGH.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Brooklyn:  4084.7913669064747\n",
      "Queens:  2234.3385753931548\n",
      "Manhattan:  10063.321647677476\n",
      "Bronx:  2920.3437720744055\n",
      "Staten Island:  716.3571306866587\n",
      "time: 9.44 ms\n"
     ]
    }
   ],
   "source": [
    "print(\"Brooklyn: \", 283893./69.5)\n",
    "print(\"Queens: \", 241532./108.1)\n",
    "print(\"Manhattan: \", 229645./22.82)\n",
    "print(\"Bronx: \", 124027./42.47)\n",
    "print(\"Staten Island: \", 42043./58.69)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PASSENGER VEHICLE                      715228\n",
       "SPORT UTILITY / STATION WAGON          313497\n",
       "TAXI                                    50669\n",
       "VAN                                     26540\n",
       "OTHER                                   23972\n",
       "PICK-UP TRUCK                           23069\n",
       "UNKNOWN                                 19929\n",
       "Sedan                                   15739\n",
       "SMALL COM VEH(4 TIRES)                  14559\n",
       "LARGE COM VEH(6 OR MORE TIRES)          14527\n",
       "BUS                                     14057\n",
       "Station Wagon/Sport Utility Vehicle     11986\n",
       "LIVERY VEHICLE                          10481\n",
       "MOTORCYCLE                               6536\n",
       "BICYCLE                                  5567\n",
       "TK                                       2485\n",
       "AMBULANCE                                2406\n",
       "BU                                       2229\n",
       "Taxi                                     1623\n",
       "DS                                       1006\n",
       "Pick-up Truck                             977\n",
       "FIRE TRUCK                                850\n",
       "VN                                        712\n",
       "Box Truck                                 676\n",
       "Bus                                       528\n",
       "CONV                                      398\n",
       "DP                                        367\n",
       "AM                                        292\n",
       "Bike                                      274\n",
       "PK                                        274\n",
       "                                        ...  \n",
       "mta b                                       1\n",
       "Pick                                        1\n",
       "armor                                       1\n",
       "SUBUR                                       1\n",
       "tk                                          1\n",
       "self                                        1\n",
       "Tow Truck                                   1\n",
       "flat                                        1\n",
       "Well Driller                                1\n",
       "e amb                                       1\n",
       "power                                       1\n",
       "DELV                                        1\n",
       "EMS A                                       1\n",
       "ladde                                       1\n",
       "HWY C                                       1\n",
       "e sco                                       1\n",
       "2 TON                                       1\n",
       "Cmix                                        1\n",
       "BED T                                       1\n",
       "WHITE                                       1\n",
       "unkno                                       1\n",
       "CUSHM                                       1\n",
       "Humme                                       1\n",
       "SPRIN                                       1\n",
       "Pick-                                       1\n",
       "Tract                                       1\n",
       "Ice C                                       1\n",
       "trk                                         1\n",
       "ulili                                       1\n",
       "John                                        1\n",
       "Name: VEHICLE TYPE CODE 1, Length: 353, dtype: int64"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 407 ms\n"
     ]
    }
   ],
   "source": [
    "data['VEHICLE TYPE CODE 1'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    5539\n",
       "1      28\n",
       "Name: NUMBER OF PERSONS KILLED, dtype: int64"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 508 ms\n"
     ]
    }
   ],
   "source": [
    "data[data['VEHICLE TYPE CODE 1'] == 'BICYCLE']['NUMBER OF PERSONS KILLED'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    15725\n",
       "1       14\n",
       "Name: NUMBER OF PERSONS KILLED, dtype: int64"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 291 ms\n"
     ]
    }
   ],
   "source": [
    "data[data['VEHICLE TYPE CODE 1'] == 'Sedan']['NUMBER OF PERSONS KILLED'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0012585713045742558 0.000890302066772655\n",
      "time: 4.3 ms\n"
     ]
    }
   ],
   "source": [
    "print(29./23042., 14./15725.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 15.4 ms\n"
     ]
    }
   ],
   "source": [
    "sample1 = [0]*15275 + [1]*14\n",
    "# sample2 = [0]*23042 + [1]*26 + [3]*1\n",
    "# sample2 = [0]*6410 + [1]*122 + [2]*4\n",
    "sample2 = [0]*5539 + [1]*28\n",
    "t_stat, p_val = stats.ttest_ind(sample1, sample2, equal_var=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.9635551966627885 0.33527520748588513\n",
      "time: 4.31 ms\n"
     ]
    }
   ],
   "source": [
    "print(t_stat, p_val) #PICKUP TRUCK"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-10.557189888915122 7.461105636335967e-26\n",
      "time: 1.98 ms\n"
     ]
    }
   ],
   "source": [
    "print(t_stat, p_val) #MOTORCYCLE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-4.20111710353651 2.6925511811370907e-05\n",
      "time: 5.05 ms\n"
     ]
    }
   ],
   "source": [
    "print(t_stat, p_val) #Bicycle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DATE                             datetime64[ns]\n",
       "TIME                             datetime64[ns]\n",
       "BOROUGH                                  object\n",
       "ZIP CODE                                 object\n",
       "LATITUDE                                float64\n",
       "LONGITUDE                               float64\n",
       "LOCATION                                 object\n",
       "ON STREET NAME                           object\n",
       "CROSS STREET NAME                        object\n",
       "OFF STREET NAME                          object\n",
       "NUMBER OF PERSONS INJURED                 int64\n",
       "NUMBER OF PERSONS KILLED                  int64\n",
       "NUMBER OF PEDESTRIANS INJURED             int64\n",
       "NUMBER OF PEDESTRIANS KILLED              int64\n",
       "NUMBER OF CYCLIST INJURED                 int64\n",
       "NUMBER OF CYCLIST KILLED                  int64\n",
       "NUMBER OF MOTORIST INJURED                int64\n",
       "NUMBER OF MOTORIST KILLED                 int64\n",
       "CONTRIBUTING FACTOR VEHICLE 1            object\n",
       "CONTRIBUTING FACTOR VEHICLE 2            object\n",
       "CONTRIBUTING FACTOR VEHICLE 3            object\n",
       "CONTRIBUTING FACTOR VEHICLE 4            object\n",
       "CONTRIBUTING FACTOR VEHICLE 5            object\n",
       "UNIQUE KEY                                int64\n",
       "VEHICLE TYPE CODE 1                      object\n",
       "VEHICLE TYPE CODE 2                      object\n",
       "VEHICLE TYPE CODE 3                      object\n",
       "VEHICLE TYPE CODE 4                      object\n",
       "VEHICLE TYPE CODE 5                      object\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 8.06 ms\n"
     ]
    }
   ],
   "source": [
    "data.dtypes\n",
    "TIME\n",
    "NUMBER OF PERSONS INJURED\n",
    "NUMBER OF PERSONS KILLED\n",
    "VEHICLE TYPE CODE 1 <- Get dummies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 33.4 ms\n"
     ]
    }
   ],
   "source": [
    "data_for_regression = data[['TIME', 'NUMBER OF PERSONS INJURED', 'NUMBER OF PERSONS KILLED', 'VEHICLE TYPE CODE 1']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "356"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 9.36 s\n"
     ]
    }
   ],
   "source": [
    "len(pd.get_dummies(data_for_regression, columns = ['VEHICLE TYPE CODE 1']).columns, dummy_na = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14 Sedan\n",
      "0 Pick-up Truck\n",
      "0 Van\n",
      "12 Station Wagon/Sport Utility Vehicle\n",
      "0 BICYC\n",
      "1 Taxi\n",
      "1 Bus\n",
      "0 Box Truck\n",
      "0 Tractor Truck Diesel\n",
      "0 Van Camper\n",
      "0 Subn\n",
      "0 Tractor Truck Gasoline\n",
      "0 UPS T\n",
      "1 Bike\n",
      "4 Motorcycle\n",
      "0 Ambulance\n",
      "0 Moped\n",
      "0 Flat Bed\n",
      "0 Convertible\n",
      "0 Dump\n",
      "0 Tanker\n",
      "0 Concrete Mixer\n",
      "0 nan\n",
      "0 Fire\n",
      "0 Garbage or Refuse\n",
      "0 PK\n",
      "0 Refrigerated Van\n",
      "0 Tow Truck / Wrecker\n",
      "0 STREE\n",
      "0 Carry All\n",
      "0 van\n",
      "0 Motorscooter\n",
      "0 TRUCK\n",
      "0 Armored Truck\n",
      "0 ambul\n",
      "613 PASSENGER VEHICLE\n",
      "0 Chassis Cab\n",
      "0 AMBUL\n",
      "0 3-Door\n",
      "39 TAXI\n",
      "0 AMBU\n",
      "0 Minicycle\n",
      "1 TT\n",
      "0 Pallet\n",
      "0 Flat Rack\n",
      "1 DP\n",
      "0 Beverage Truck\n",
      "0 Motorbike\n",
      "0 MOTOR\n",
      "0 FD NY\n",
      "0 School Bus\n",
      "0 Ambul\n",
      "0 Multi-Wheeled Vehicle\n",
      "0 utili\n",
      "0 Open Body\n",
      "0 TANK\n",
      "0 BED T\n",
      "0 Stake or Rack\n",
      "0 box t\n",
      "0 FDNY\n",
      "0 BOBCA\n",
      "0 fire\n",
      "0 WHEEL\n",
      "0 TRAIL\n",
      "0 TRACK\n",
      "0 UTILI\n",
      "0 comme\n",
      "0 ACCES\n",
      "0 RV\n",
      "0 dump\n",
      "0 Bulk Agriculture\n",
      "0 e sco\n",
      "325 SPORT UTILITY / STATION WAGON\n",
      "0 TR\n",
      "4 TK\n",
      "29 PICK-UP TRUCK\n",
      "10 FB\n",
      "2 BU\n",
      "2 VN\n",
      "0 CONV\n",
      "0 AM\n",
      "4 DS\n",
      "130 MOTORCYCLE\n",
      "2 CB\n",
      "0 MS\n",
      "0 tow\n",
      "0 99999\n",
      "28 BICYCLE\n",
      "1 GG\n",
      "0 PAS\n",
      "1 LL\n",
      "0 FR\n",
      "0 CM\n",
      "38 VAN\n",
      "0 BOX T\n",
      "0 RF\n",
      "2 MD\n",
      "0 seagr\n",
      "0 Pedicab\n",
      "0 UHAUL\n",
      "1 TN\n",
      "0 ST\n",
      "0 NYPD\n",
      "0 schoo\n",
      "0 STAK\n",
      "0 Semi\n",
      "0 self\n",
      "0 REP\n",
      "0 BULLD\n",
      "0 SCHOO\n",
      "0 CONST\n",
      "0 Scoot\n",
      "0 FIRE\n",
      "0 BACKH\n",
      "0 MAIL\n",
      "0 Log\n",
      "0 com\n",
      "0 fdny\n",
      "0 DELIV\n",
      "0 spec\n",
      "0 tk\n",
      "0 Lift Boom\n",
      "0 POWER\n",
      "0 Fdny\n",
      "0 TOW T\n",
      "0 CART\n",
      "0 Well Driller\n",
      "0 USPS\n",
      "0 Box\n",
      "0 COMME\n",
      "0 PICK-\n",
      "0 Tow Truck\n",
      "0 Pickup with mounted Camper\n",
      "0 TRLR\n",
      "0 BOX\n",
      "0 ice c\n",
      "0 Elect\n",
      "0 gator\n",
      "0 TRAFF\n",
      "0 WHITE\n",
      "0 SELF\n",
      "0 semi\n",
      "0 SANIT\n",
      "0 Vanette\n",
      "0 OMT\n",
      "0 trail\n",
      "0 Cmix\n",
      "0 bus\n",
      "0 truck\n",
      "0 ford\n",
      "0 Motorized Home\n",
      "0 COM\n",
      "0 mail\n",
      "0 FORD\n",
      "0 icecr\n",
      "0 CUSHM\n",
      "0 VAN T\n",
      "0 MACK\n",
      "0 AR\n",
      "0 3D\n",
      "2 SCOOTER\n",
      "0 MB\n",
      "0 ulili\n",
      "0 mcy\n",
      "1 FIRE TRUCK\n",
      "0 LIVER\n",
      "0 Smart\n",
      "0 PL\n",
      "0 trlr\n",
      "0 delv\n",
      "0 VC\n",
      "0 FREIG\n",
      "0 BR\n",
      "0 Tow-t\n",
      "0 Pick-\n",
      "0 PUMP\n",
      "0 BA\n",
      "0 TRACT\n",
      "0 15 Pa\n",
      "0 Sprin\n",
      "0 LF\n",
      "0 OMNIB\n",
      "0 HWY C\n",
      "0 AMABU\n",
      "0 FORKL\n",
      "0 NYC a\n",
      "0 NYC M\n",
      "0 Light\n",
      "0 AMB\n",
      "0 Wagon\n",
      "0 OMR\n",
      "0 GOLF\n",
      "0 nyc a\n",
      "0 DUMP\n",
      "0 e amb\n",
      "0 bulld\n",
      "0 DELV\n",
      "0 P/SH\n",
      "0 2 TON\n",
      "0 PICKU\n",
      "0 mopad\n",
      "45 BUS\n",
      "0 DOT R\n",
      "0 Marke\n",
      "0 TOW\n",
      "0 tow t\n",
      "0 Tract\n",
      "0 EMS A\n",
      "0 deliv\n",
      "0 ELECT\n",
      "0 LW\n",
      "0 TRAC\n",
      "0 scoot\n",
      "0 WD\n",
      "0 REFRI\n",
      "0 COMMM\n",
      "0 uhaul\n",
      "0 WHBL\n",
      "0 RYDER\n",
      "0 p/sh\n",
      "0 MH\n",
      "0 GR\n",
      "0 Forkl\n",
      "0 Veriz\n",
      "0 SP\n",
      "0 Limou\n",
      "0 SNOW\n",
      "0 SPRIN\n",
      "0 Tow T\n",
      "0 FIRET\n",
      "0 PM\n",
      "0 TRK\n",
      "0 TRL\n",
      "0 BS\n",
      "0 LIMO\n",
      "0 SEMI\n",
      "0 flat\n",
      "0 OIL T\n",
      "0 Freig\n",
      "0 GARBA\n",
      "0 VAN/T\n",
      "0 CARGO\n",
      "0 ambu\n",
      "0 mta\n",
      "0 Mini\n",
      "0 elect\n",
      "0 unkno\n",
      "0 Firet\n",
      "0 passa\n",
      "0 HORSE\n",
      "0 HO\n",
      "0 APORT\n",
      "0 garba\n",
      "0 AMBULANCE\n",
      "0 U.S.\n",
      "0 EN\n",
      "0 UTIL\n",
      "0 mta b\n",
      "0 sanit\n",
      "0 YELLO\n",
      "0 E ONE\n",
      "0 tract\n",
      "0 Trail\n",
      "0 Cargo\n",
      "0 vol\n",
      "0 Picku\n",
      "0 SUV\n",
      "0 Tow\n",
      "0 usps\n",
      "0 CO\n",
      "0 SEMI-\n",
      "0 subn\n",
      "0 Bucke\n",
      "0 POSTA\n",
      "0 ARMOR\n",
      "0 Sweep\n",
      "0 FLAT\n",
      "0 FREE\n",
      "0 ups t\n",
      "0 APPOR\n",
      "0 forkl\n",
      "0 H/WH\n",
      "0 MINI\n",
      "0 BACK\n",
      "0 pick\n",
      "0 NEW Y\n",
      "0 posta\n",
      "0 4whee\n",
      "0 Backh\n",
      "0 SKATE\n",
      "0 PEDICAB\n",
      "0 P/SE\n",
      "0 315 e\n",
      "0 van t\n",
      "0 MOPED\n",
      "0 sciss\n",
      "0 trk\n",
      "0 PSD\n",
      "0 Pick\n",
      "0 armor\n",
      "0 dp\n",
      "0 ABULA\n",
      "0 UPS t\n",
      "0 PEDIC\n",
      "0 BUs\n",
      "0 MK\n",
      "0 UNKNO\n",
      "0 omni\n",
      "0 Schoo\n",
      "0 Golf\n",
      "0 OML\n",
      "0 power\n",
      "0 Tow t\n",
      "0 Humme\n",
      "0 John\n",
      "0 SE\n",
      "0 RENTA\n",
      "0 MTA B\n",
      "0 VT\n",
      "0 NYC B\n",
      "0 cemen\n",
      "0 ladde\n",
      "0 IP\n",
      "0 motor\n",
      "0 FLATB\n",
      "0 SUBUR\n",
      "0 TRANS\n",
      "0 Truck\n",
      "0 cargo\n",
      "0 SPC\n",
      "0 VANG\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-10-6ae89cec5dbd>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'VEHICLE TYPE CODE 1'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'VEHICLE TYPE CODE 1'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'NUMBER OF PERSONS KILLED'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/ops.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(self, other, axis)\u001b[0m\n\u001b[1;32m   1281\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1282\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merrstate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mall\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'ignore'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1283\u001b[0;31m                 \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mna_op\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1284\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mis_scalar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mres\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1285\u001b[0m                 raise TypeError('Could not compare {typ} type with Series'\n",
      "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/ops.py\u001b[0m in \u001b[0;36mna_op\u001b[0;34m(x, y)\u001b[0m\n\u001b[1;32m   1141\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1142\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mis_object_dtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1143\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_comp_method_OBJECT_ARRAY\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1144\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1145\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mis_datetimelike_v_numeric\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.6/site-packages/pandas/core/ops.py\u001b[0m in \u001b[0;36m_comp_method_OBJECT_ARRAY\u001b[0;34m(op, x, y)\u001b[0m\n\u001b[1;32m   1120\u001b[0m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlibops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvec_compare\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1121\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1122\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlibops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscalar_compare\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1123\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1124\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 57 s\n"
     ]
    }
   ],
   "source": [
    "for i in data['VEHICLE TYPE CODE 1'].unique():\n",
    "    print(data[data['VEHICLE TYPE CODE 1'] == i]['NUMBER OF PERSONS KILLED'].sum(), i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0008570693541080606 PASSENGER VEHICLE\n",
      "0.001036692536132722 SPORT UTILITY / STATION WAGON\n",
      "0.0007697013953304782 TAXI\n",
      "0.0014318010550113038 VAN\n",
      "0.0010428833639245787 OTHER\n",
      "0.0012570982704061728 PICK-UP TRUCK\n",
      "0.003060866074564705 UNKNOWN\n",
      "0.0008895101340618845 Sedan\n",
      "0.000755546397417405 SMALL COM VEH(4 TIRES) \n",
      "0.0033730295312177326 LARGE COM VEH(6 OR MORE TIRES)\n",
      "0.0032012520452443624 BUS\n",
      "0.0010011680293675956 Station Wagon/Sport Utility Vehicle\n",
      "0.0006678752027478294 LIVERY VEHICLE\n",
      "0.01988984088127295 MOTORCYCLE\n",
      "0.005029638943775822 BICYCLE\n",
      "0.0016096579476861167 TK\n",
      "0.0 AMBULANCE\n",
      "0.0008972633467922835 BU\n",
      "0.0006161429451632779 Taxi\n",
      "0.003976143141153081 DS\n",
      "0.0 Pick-up Truck\n",
      "0.001176470588235294 FIRE TRUCK\n",
      "0.0028089887640449437 VN\n",
      "0.0 Box Truck\n",
      "0.001893939393939394 Bus\n",
      "0.0 CONV\n",
      "0.0027247956403269754 DP\n",
      "0.0 AM\n",
      "0.0 PK\n",
      "0.0036496350364963502 Bike\n",
      "0.0 Tractor Truck Diesel\n",
      "0.0078125 SCOOTER\n",
      "0.0 Van\n",
      "0.04201680672268908 FB\n",
      "0.018957345971563982 Motorcycle\n",
      "0.004878048780487805 GG\n",
      "0.005917159763313609 LL\n",
      "0.0 TR\n",
      "0.007692307692307693 TT\n",
      "0.0 Convertible\n",
      "0.0 Dump\n",
      "0.02247191011235955 CB\n",
      "0.0 Ambulance\n",
      "0.012987012987012988 TN\n",
      "0.0 AMBUL\n",
      "0.0 Flat Bed\n",
      "0.0 RF\n",
      "0.0 van\n",
      "0.0 BR\n",
      "0.0 MS\n",
      "0.0 CM\n",
      "0.0 AR\n",
      "0.0 Carry All\n",
      "0.0 Garbage or Refuse\n",
      "0.0 Tractor Truck Gasoline\n",
      "0.0 PEDICAB\n",
      "0.0 FR\n",
      "0.0 3D\n",
      "0.0625 MD\n",
      "0.0 TRAIL\n",
      "0.0 Tow Truck / Wrecker\n",
      "0.0 Tanker\n",
      "0.0 TRUCK\n",
      "0.0 Refrigerated Van\n",
      "0.0 Chassis Cab\n",
      "0.0 MB\n",
      "0.0 FDNY\n",
      "0.0 SP\n",
      "0.0 Concrete Mixer\n",
      "0.0 TRACT\n",
      "0.0 LF\n",
      "0.0 Moped\n",
      "0.0 ambul\n",
      "0.0 ST\n",
      "0.0 Flat Rack\n",
      "0.0 Ambul\n",
      "0.0 Armored Truck\n",
      "0.0 Motorbike\n",
      "0.0 DUMP\n",
      "0.0 SCHOO\n",
      "0.0 Motorscooter\n",
      "0.0 3-Door\n",
      "0.0 DELIV\n",
      "0.0 Fire\n",
      "0.0 USPS\n",
      "0.0 FORKL\n",
      "0.0 trail\n",
      "0.0 FIRET\n",
      "0.0 RV\n",
      "0.0 TOW T\n",
      "0.0 PM\n",
      "0.0 schoo\n",
      "0.0 COMME\n",
      "0.0 fdny\n",
      "0.0 fire\n",
      "0.0 PL\n",
      "0.0 truck\n",
      "0.0 BA\n",
      "0.0 FIRE\n",
      "0.0 bus\n",
      "0.0 Stake or Rack\n",
      "0.0 BOX T\n",
      "0.0 dump\n",
      "0.0 UTILI\n",
      "0.0 Beverage Truck\n",
      "0.0 POWER\n",
      "0.0 SANIT\n",
      "0.0 FREIG\n",
      "0.0 UHAUL\n",
      "0.0 AMB\n",
      "0.0 STREE\n",
      "0.0 MOTOR\n",
      "0.0 box t\n",
      "0.0 Multi-Wheeled Vehicle\n",
      "0.0 utili\n",
      "0.0 ambu\n",
      "0.0 COM\n",
      "0.0 TOW\n",
      "0.0 REFRI\n",
      "0.0 TRL\n",
      "0.0 MH\n",
      "0.0 deliv\n",
      "0.0 FORD\n",
      "0.0 GARBA\n",
      "0.0 FLAT\n",
      "0.0 TRAC\n",
      "0.0 OMR\n",
      "0.0 4DSD\n",
      "0.0 subn\n",
      "0.0 forkl\n",
      "0.0 UTIL\n",
      "0.0 Lift Boom\n",
      "0.0 pick\n",
      "0.0 BOBCA\n",
      "0.0 POSTA\n",
      "0.0 tract\n",
      "0.0 posta\n",
      "0.0 LW\n",
      "0.0 BS\n",
      "0.0 TANK\n",
      "0.0 VT\n",
      "0.0 SEMI\n",
      "0.0 sanit\n",
      "0.0 Pallet\n",
      "0.0 tow t\n",
      "0.0 CARGO\n",
      "0.0 SELF\n",
      "0.0 LIMO\n",
      "0.0 GR\n",
      "0.0 HORSE\n",
      "0.0 BACK\n",
      "0.0 MACK\n",
      "0.0 REP\n",
      "0.0 Forkl\n",
      "0.0 MAIL\n",
      "0.0 delv\n",
      "0.0 STAK\n",
      "0.0 comme\n",
      "0.0 LIVER\n",
      "0.0 CO\n",
      "0.0 BULLD\n",
      "0.0 PICKU\n",
      "0.0 Trail\n",
      "0.0 Elect\n",
      "0.0 OMT\n",
      "0.0 tow\n",
      "0.0 ford\n",
      "0.0 Pedicab\n",
      "0.0 VC\n",
      "0.0 AMBU\n",
      "0.0 TRANS\n",
      "0.0 MOPED\n",
      "0.0 Van Camper\n",
      "0.0 garba\n",
      "0.0 NEW Y\n",
      "0.0 EN\n",
      "0.0 Bulk Agriculture\n",
      "0.0 NYPD\n",
      "0.0 VAN/T\n",
      "0.0 MTA B\n",
      "0.0 SUV\n",
      "0.0 BACKH\n",
      "0.0 ELECT\n",
      "0.0 FLATB\n",
      "0.0 COMMM\n",
      "0.0 OML\n",
      "0.0 ACCES\n",
      "0.0 TRLPM\n",
      "0.0 tk\n",
      "0.0 ST150\n",
      "0.0 IP\n",
      "0.0 FREE\n",
      "0.0 ABULA\n",
      "0.0 Tow\n",
      "0.0 PSD\n",
      "0.0 GOLF\n",
      "0.0 seagr\n",
      "0.0 UT\n",
      "0.0 Pick\n",
      "0.0 SEMI-\n",
      "0.0 ARMOR\n",
      "0.0 omni\n",
      "0.0 MK\n",
      "0.0 CART\n",
      "0.0 Semi\n",
      "0.0 Tow T\n",
      "0.0 ups t\n",
      "0.0 Tow Truck\n",
      "0.0 RYDER\n",
      "0.0 COM T\n",
      "0.0 SKATE\n",
      "0.0 icecr\n",
      "0.0 TRAFF\n",
      "0.0 15 Pa\n",
      "0.0 CONST\n",
      "0.0 Subn\n",
      "0.0 Schoo\n",
      "0.0 mta\n",
      "0.0 power\n",
      "0.0 Smart\n",
      "0.0 spec\n",
      "0.0 uhaul\n",
      "0.0 Open Body\n",
      "0.0 NYC M\n",
      "0.0 PEDIC\n",
      "0.0 mta b\n",
      "0.0 gator\n",
      "0.0 Backh\n",
      "0.0 Box\n",
      "0.0 UPS t\n",
      "0.0 PAS\n",
      "0.0 APPOR\n",
      "0.0 mcy\n",
      "0.0 flat\n",
      "0.0 semi\n",
      "0.0 com\n",
      "0.0 2 TON\n",
      "0.0 PUMP\n",
      "0.0 usps\n",
      "0.0 Mini\n",
      "0.0 315 e\n",
      "0.0 mopad\n",
      "0.0 School Bus\n",
      "0.0 H/WH\n",
      "0.0 NYC a\n",
      "0.0 John\n",
      "0.0 Well Driller\n",
      "0.0 TRK\n",
      "0.0 Mo pa\n",
      "0.0 armor\n",
      "0.0 ulili\n",
      "0.0 scoot\n",
      "0.0 HWY C\n",
      "0.0 VAN T\n",
      "0.0 Scoot\n",
      "0.0 AMABU\n",
      "0.0 WD\n",
      "0.0 UNKNO\n",
      "0.0 elect\n",
      "0.0 Util\n",
      "0.0 TRLR\n",
      "0.0 4whee\n",
      "0.0 trlr\n",
      "0.0 Sweep\n",
      "0.0 U.S.\n",
      "0.0 Truck\n",
      "0.0 Golf\n",
      "0.0 Pick-\n",
      "0.0 CABIN\n",
      "0.0 Cmix\n",
      "0.0 OMNIB\n",
      "0.0 ladde\n",
      "0.0 YELLO\n",
      "0.0 DELV\n",
      "0.0 refg\n",
      "0.0 ice c\n",
      "0.0 BED T\n",
      "0.0 Bucke\n",
      "0.0 e amb\n",
      "0.0 Cargo\n",
      "0.0 GE/SC\n",
      "0.0 e sco\n",
      "0.0 self\n",
      "0.0 SPRIN\n",
      "0.0 Minicycle\n",
      "0.0 HO\n",
      "0.0 TRACK\n",
      "0.0 FD NY\n",
      "0.0 Freig\n",
      "0.0 PICK-\n",
      "0.0 motor\n",
      "0.0 bulld\n",
      "0.0 SUBUR\n",
      "0.0 dp\n",
      "0.0 99999\n",
      "0.0 unkno\n",
      "0.0 mail\n",
      "0.0 Wagon\n",
      "0.0 Tract\n",
      "0.0 CUSHM\n",
      "0.0 nyc a\n",
      "0.0 UPS T\n",
      "0.0 BICYC\n",
      "0.0 P/SE\n",
      "0.0 RENTA\n",
      "0.0 Motorized Home\n",
      "0.0 Comme\n",
      "0.0 cargo\n",
      "0.0 van t\n",
      "0.0 EMS A\n",
      "0.0 vol\n",
      "0.0 trk\n",
      "0.0 Limou\n",
      "0.0 SNOW\n",
      "0.0 Marke\n",
      "0.0 Veriz\n",
      "0.0 Tow-t\n",
      "0.0 light\n",
      "0.0 BUs\n",
      "0.0 WHBL\n",
      "0.0 PSR\n",
      "0.0 Firet\n",
      "0.0 E ONE\n",
      "0.0 Tow t\n",
      "0.0 P/SH\n",
      "0.0 Ford\n",
      "0.0 WHEEL\n",
      "0.0 p/sh\n",
      "0.0 Utili\n",
      "0.0 east\n",
      "0.0 cemen\n",
      "0.0 sciss\n",
      "0.0 Pickup with mounted Camper\n",
      "0.0 VANG\n",
      "0.0 Vanette\n",
      "0.0 Light\n",
      "0.0 MINI\n",
      "0.0 passa\n",
      "0.0 APORT\n",
      "0.0 Humme\n",
      "0.0 Log\n",
      "0.0 Picku\n",
      "0.0 SPC\n",
      "0.0 BOX\n",
      "0.0 NYC B\n",
      "0.0 SE\n",
      "0.0 WHITE\n",
      "0.0 DOT R\n",
      "0.0 Fdny\n",
      "0.0 Ice C\n",
      "0.0 unk\n",
      "0.0 Sprin\n",
      "0.0 OIL T\n",
      "time: 1min 59s\n"
     ]
    }
   ],
   "source": [
    "for i in data['VEHICLE TYPE CODE 1'].value_counts().sort_values(ascending = False).index.tolist():#[:30]:\n",
    "    print(data[data['VEHICLE TYPE CODE 1'] == i]['NUMBER OF PERSONS KILLED'].sum()/data[data['VEHICLE TYPE CODE 1'] == i]['NUMBER OF PERSONS KILLED'].count(), i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "274"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 268 ms\n"
     ]
    }
   ],
   "source": [
    "data[data['VEHICLE TYPE CODE 1'] == i]['NUMBER OF PERSONS KILLED'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 5min 14s\n"
     ]
    }
   ],
   "source": [
    "data['DATE'] = pd.to_datetime(data['DATE'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 31.4 ms\n"
     ]
    }
   ],
   "source": [
    "data['NUMBER OF PERSONS KILLED OR INJURED'] = data['NUMBER OF PERSONS KILLED'] + data['NUMBER OF PERSONS INJURED']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 1.38 s\n"
     ]
    }
   ],
   "source": [
    "data_before = data[data['DATE'] <= pd.to_datetime('01/15/2014')]\n",
    "data_after = data[data['DATE'] > pd.to_datetime('01/15/2014')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 3min 4s\n"
     ]
    }
   ],
   "source": [
    "data['TIME'] = pd.to_datetime(data['TIME'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 4.55 ms\n"
     ]
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2ad7a3fba8>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 2.65 s\n"
     ]
    }
   ],
   "source": [
    "(data_before['NUMBER OF PERSONS KILLED OR INJURED'].groupby(data['TIME'].dt.hour).count()/(pd.to_datetime('01/15/2014') - data_before['DATE'].min()).days).plot(kind = 'bar', color = 'r')\n",
    "# data_before['NUMBER OF PERSONS KILLED OR INJURED'].groupby(data['TIME'].dt.hour).sum()/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'Hours (Military Time)')"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 3.55 s\n"
     ]
    }
   ],
   "source": [
    "(data_before['NUMBER OF PERSONS KILLED OR INJURED'].groupby(data['TIME'].dt.hour).count()/(pd.to_datetime('01/15/2014') - data_before['DATE'].min()).days).plot(kind = 'bar', color = 'r', alpha = .25, label ='Before Vision Zero')\n",
    "(data_after['NUMBER OF PERSONS KILLED OR INJURED'].groupby(data['TIME'].dt.hour).count()/(data_after['DATE'].max() - pd.to_datetime('01/15/2014')).days).plot(kind = 'bar', color = 'b', alpha = .25, label ='After Vision Zero')\n",
    "plt.rcParams[\"figure.figsize\"] = [16,9]\n",
    "plt.legend()\n",
    "plt.ylabel('Collision Count')\n",
    "plt.xlabel('Hours (Military Time)')\n",
    "# data_after['NUMBER OF PERSONS KILLED OR INJURED'].groupby(data['TIME'].dt.hour).sum()/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2014-01-16 00:00:00 2018-06-29 00:00:00\n",
      "time: 26.3 ms\n"
     ]
    }
   ],
   "source": [
    "print(data_after['DATE'].min(), data_after['DATE'].max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 532 ms\n"
     ]
    }
   ],
   "source": [
    "data_vision = data['NUMBER OF PERSONS INJURED'].groupby([data['DATE'].dt.year, data['TIME'].dt.hour]).sum()#/data['NUMBER OF PERSONS INJURED OR INJURED'].groupby(data['DATE'].dt.year).count()\n",
    "data_vision = pd.DataFrame(data_vision).reset_index()\n",
    "data_vision = data_vision[data_vision['DATE'] != 2012][data_vision['DATE'] != 2018]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 7 ms\n"
     ]
    }
   ],
   "source": [
    "from copy import copy\n",
    "data_vision_shifted = copy(data_vision)\n",
    "data_vision_shifted['DATE'] = data_vision_shifted['DATE'] + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 299 ms\n"
     ]
    }
   ],
   "source": [
    "data_vision_shifted['NUMBER OF PERSONS KILLED'] = data_vision_shifted['NUMBER OF PERSONS KILLED'].astype(int)\n",
    "data_vision['NUMBER OF PERSONS KILLED'] = data_vision['NUMBER OF PERSONS KILLED'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 61.1 ms\n"
     ]
    }
   ],
   "source": [
    "data_diff = (data_vision.set_index(['DATE', 'TIME']) - data_vision_shifted.set_index(['DATE', 'TIME'])).reset_index()\n",
    "data_diff = data_diff[data_diff['DATE'] != 2013][data_diff['DATE'] != 2018]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YsZk0aVKS5LzzzsvEiRMze/bsnHXWWbn55puzzz775JprrkmSPPnkk5k6dWpWrVqVQYMG5brrrsu99967xd2fu2Pp0qWZP39+Ro8e3VWsP/jBD+Z973tfZsyYkblz56ajoyPDhw/P1Vdf3XW/8ePHZ9WqVVmzZk0WLVrUlfd973tf1q1bl1deeSWHHXZY3v/+9/cq35a0dXZu8dK1A1nna1PoAAAk8+fPrzk+d+7cfkpCK6l3GZ1tuSxO1a1evTrDhg1rdozt2pZegw0nw6p7Niu7MQMAAFA5yi4AAACVo+wCAABQOcouAAAAlaPsAgAAUDnKLgAAAJWj7AIAALSgJUuW5MQTT8wRRxyRCRMmZMGCBV1jzzzzTGbMmJGOjo7MmDEjzz77bJLksccey3HHHZd9992369q7rxk/fnwmTpyYSZMmZerUqd3OM2fOnBx22GE58sgj8/GPfzxr165NknR2duZTn/pUOjo6ctRRR+Xhhx/uus/73//+jB07Nqeccsom2+rs7MznPve5HHrooXn3u9+dr371q93OU8/gPt8iAABABd11x7I+3d7Rx7fXHB88eHAuuuiijBs3LqtWrcqUKVNy+OGHZ7/99stVV12VQw89NHPmzMmVV16Zq666KhdccEGGDx+eSy65JIsWLdriNhcuXJg3velNPco7bdq0XHHFFUmS2bNn56abbsrMmTNzzz335Ne//nXuu+++PPTQQzn//PNz5513JknOOuusvPjii/nGN76xybbKsszSpUvzwx/+MIMGDcrKlSt7lKkWM7sAAAAtaOTIkRk3blySZJdddsmYMWOyfPnyJMldd92V6dOnJ0mmT5/eVW5HjBiR/fffP0OGDOnzPBMnTkxbW1va2tqy//77Z9myZV1ZTjzxxLS1teWggw7Kc889lxUrViRJDjvssOyyyy6v29aNN96Ys88+O4MGDerK3deUXQAAgBb3xBNP5JFHHskBBxyQJFm5cmVGjhyZJNlzzz23aWa0ra0tJ510UqZMmfK6mdbuWLt2bW699dZMmDAhSbJ8+fKMGjWqa7y9vb2rlG/N448/njvuuCNTp07NBz7wgfzqV7/qcZ6tsRszAABAC3vhhRcya9asXHzxxdl1111fN/7abGs9t912W9rb27Ny5crMmDEjo0ePzl/+5V92O88nP/nJjB8/PuPHj+/2fV+zZs2a7LTTTvnud7+b73znOznnnHNy22239Xh7W6Ls0mv1jl2odywC0HqWnfuhrY61X7pgq2MAQN9au3ZtZs2alWnTpuWYY47pun3EiBFZsWJFRo4cmRUrVmSPPfaou6329vau+06dOjU///nPNym7r7zySqZMmZIkmTx5cs4999zXbePyyy/PU089tcnJsvbaa68sXbq0a3nZsmXZa6+96mZ57fFMnTo1H//4x+vm7y67MQMAALSgzs7OnHPOORk9enTOPPPMTcYmT56chQsXJll/0qmjjz665rZWr16dVatWdX39gx/8IO94xzs2WWeHHXbI4sWLs3jx4i0W3Ztuuin33ntvrrrqqq5jbV/Lcsstt6SzszMPPvhgdtttt65drLdmypQp+fGPf5wk+clPfpK3ve1tNdfvCTO7AAAALeiBBx7IrbfemrFjx2bSpElJkvPOOy8TJ07M7Nmzc9ZZZ+Xmm2/OPvvs03WZoSeffDJTp07NqlWrMmjQoFx33XW599578/TTT+f0009Psn4G94QTTug65nZbnXfeedlnn31y/PHHJ0mOOeaYnH322Zk4cWLuueeedHR0ZOjQobn88su77jNt2rQ89thjWb16dQ466KBcdtllOeKIIzJ79uzMmTMn1113XYYNG5ZLL720L56yTSi7AAAA26C/D887+OCDs2TJki2OvelNb0pZlq+7fc8998yDDz74utt33XXXfO973+tVnt/+9rdbvL2trS2f/exntzi2teNwd99993z961/vVZ567MYMAABA5Si7AAAAVI6yCwAAQOUouwAAAFSOsgsAAEDlKLsAAABUjrILAADQgpYsWZITTzwxRxxxRCZMmJAFCxZ0jT3zzDOZMWNGOjo6MmPGjDz77LNJksceeyzHHXdc9t13365r777mueeey6xZs3L44Yfn3e9+d3760592K8+cOXNy2GGH5cgjj8zHP/7xrF27NknS2dmZT33qU+no6MhRRx2Vhx9+uOs+73//+zN27Niccsopm2xr2rRpmTRpUiZNmpQDDzwwp512WreybAvX2QUAANgG8+fP79PtzZ07t+b44MGDc9FFF2XcuHFZtWpVpkyZksMPPzz77bdfrrrqqhx66KGZM2dOrrzyylx11VW54IILMnz48FxyySVZtGjR67Z34YUXZsKECbnuuuuyZs2avPjii93KO23atFxxxRVJktmzZ+emm27KzJkzc8899+TXv/517rvvvjz00EM5//zzc+eddyZJzjrrrLz44ov5xje+scm2Nr7+7qxZszJ58uRuZdkWZnYBAABa0MiRIzNu3LgkyS677JIxY8Zk+fLlSZK77ror06dPT5JMnz69q9yOGDEi+++/f4YMGbLJtn7/+9/n/vvvz0knnZQk2XHHHbP77rt3K8/EiRPT1taWtra27L///lm2bFlXlhNPPDFtbW056KCD8txzz2XFihVJksMOOyy77LLLVrf5/PPP50c/+lGmTJnSrSzbQtkFAABocU888UQeeeSRHHDAAUmSlStXZuTIkUmSPffcMytXrqx5/9/+9rfZY489cvbZZ2fy5Mn527/926xevbpHWdauXZtbb701EyZMSJIsX748o0aN6hpvb2/vKuX1LFq0KB0dHdl11117lKUWZRcAAKCFvfDCC5k1a1YuvvjiLZbC12Zba3nllVfy8MMP55RTTsndd9+dYcOG5corr+xRnk9+8pMZP358xo8f36P7b+z222/PCSec0OvtbImyCwAA0KLWrl2bWbNmZdq0aTnmmGO6bh8xYkTXrsIrVqzIHnvsUXM77e3taW9vz4EHHpgkOfbYYzc5kVSyvhC/dtKoSy+9dIvbufzyy/PUU0/l05/+dNdte+21V5YuXdq1vGzZsuy11151H9vTTz+dn/3sZ5k4cWLddXtC2QUAAGhBnZ2dOeecczJ69OiceeaZm4xNnjw5CxcuTJIsXLgwRx99dM1t7bnnnhk1alQee+yxJMl9992X/fbbb5N1dthhhyxevDiLFy/Oueee+7pt3HTTTbn33ntz1VVXZdCgP1TJyZMn55ZbbklnZ2cefPDB7Lbbbl27WNdy55135qijjsrOO+9cd92ecDZmAACAFvTAAw/k1ltvzdixYzNp0qQkyXnnnZeJEydm9uzZOeuss3LzzTdnn3326brM0JNPPpmpU6dm1apVGTRoUK677rrce++92XXXXXPJJZfkIx/5SNauXZu3vOUtufzyy7uV57zzzss+++yT448/PklyzDHH5Oyzz87EiRNzzz33pKOjI0OHDt1ku9OmTctjjz2W1atX56CDDspll12WI444Iklyxx13ZPbs2X3wTG1ZW2dnZ8M23iSdG0+h03h33bGs5vjRx7f3UxKgryw790NbHWu/dMFWx4DWVO9yKfUuf0I1nXrDT2qOXz/zkH5K0rpWr16dYcOGNTvGdm1Lr8GGk2HVPkg5dmMGAACgguzG3IJq/S+b/2Fje1BrbwF7CsDAtD3tLVBrFtUMKvSOzwh0h5ldAAAAKkfZBQAA2IIKnt9owOnNa6DsAgAAbMGgQYOybt26ZsfYbq1bt26TSxx1l2N2AQAAtmDnnXfOSy+9lJdffjltbXVP/ksf6uzszKBBg3p1DV5lFwAAYAva2toydOjQZsegh+zGDAAAQOUouwAAAFSOsgsAAEDlKLsAAABUjrILAABA5Si7AAAAVI6yCwAAQOUouwAAAFSOsgsAAEDlKLsAAABUjrILAABA5Si7AAAAVI6yCwAAQOUouwAAAFSOsgsAAEDlDG52AABotLvuWLbVsaOPb+/HJH/QipkAoDdOveEnWx27fuYh/ZhkPTO7AAAAVI6yCwAAQOUouwAAAFSOsgsAAEDlKLsAAABUjrILAABA5Si7AAAAVI6yCwAAQOUouwAAAFSOsgsAAEDlKLsAAABUjrILAABA5Si7AAAAVI6yCwAAQOUouwAAAFSOsgsAAEDlKLsAAABUjrILAABA5Si7AAAAVM7gZgeA7clddyzb6tjRx7f3YxJaybJzP7TVsfZLF/RjEgBa0fz587c6Nnfu3H5MAgOLmV0AAAAqR9kFAACgcpRdAAAAKkfZBQAAoHKUXQAAACpH2QUAAKBylF0AAAAqR9kFAACgcpRdAAAAKkfZBQAAoHKUXQAAACpH2QUAAKBylF0AAAAqR9kFAACgcpRdAAAAKmdwswNsi6IoHk/yfJJXkqwry/IvmpsIAACAVjYgyu4GE8qyXNnsEAAAALQ+uzEDAABQOQOl7HYmubsoigeLojij2WEAAABobQNlN+ZDy7JcUhTFnkkWF0XxaFmWP3xtcEMBPiNJyrLMiBEjmpWz4Wo9tgsvvLDmfefNm9fXcTZYVnO0FV+PWs9V456npNZz1YrPU/MMvOepN++pWj9BzXq8rZipd1rxPdWKmRqneu+pnmnVx9qquaivka9da74vtq/fnVXSjNdnQJTdsiyXbPj7yaIobktycJIfbjR+bZJrNyx2rlxZ3UN7e/PYmvW8DLTXw/PU2gbi8zQQf25racVMvdGKj6cVMzXS9vR4W/Wxtmou6mvkazfQ3hcDLe/2pi9fn1GjRm3Tei2/G3NRFG8oimLX175OMjnJI81NBQAAQCsbCDO7I5PcVhRFsj7vTWVZLmpuJAAAAFpZy5fdsix/leRdzc4BAADAwNHyuzEDAABAdym7AAAAVI6yCwAAQOUouwAAAFSOsgsAAEDlKLsAAABUjrILAABA5Si7AAAAVI6yCwAAQOUM3tYVi6IYmmR4kmfLsnyxcZEAAACgd+qW3aIoJiT5fJIDk7Ql6SyK4qEk55dl+f0G5wMAAIBuq7kbc1EUf5HkO0nuTzIpyZ8mmZzkfyX5l6Io/lvDEwIAAEA31ZvZPTfJF8qyvGij236Z5J6iKP5rw3jRqHAAAADQE/VOUHVIkq9sZey6JH/Vt3EAAACg9+qV3eFlWS7d0sCG23fv+0gAAADQO9t8Nuat6OyTFADQC6fe8JOa4ye98a39EwTYZvPnz685Pnfu3B5vu9bvhOtnHtLj7cKW3HXHsq2OHX18e4+3u+zcD9Ucb790QY+3Xevnrzc/e62mXtl9Q1EUv93KWFuSYX2cBwAAAHqtXtk9sl9SAAAAQB+qWXbLsvxBfwUBAACAvlLvOru3b7Z88WbLDzQiFAAAAPRGvbMxT9hs+SObLf9JH2YBAACAPlGv7G6ubbNlZ2MGAACg5XS37Cq3AAAAtLx6Z2MeUhTFB/OHGd2diqI4rRv3BwAAgH5Xr6zen+SUjZb/V5KTNxsHAACAllLv0kNH1BoviqK7u0EDAABAw/W4rBZFsVOStX2YBQAAAPpEb2dmNz87MwAAADRdb8uuszMDAADQchxzCwAAQOXUPEFVURT/b7Y+e6soAwAA0JLqXXpoQZ3x6/oqCAAAAPSVepceumFrYxsuO3RqXwcCAACA3urNrshDYmYXAACAFuTSQwAAAFSOSw8BAABQOfXOxvy2GsM79XEW6JZTb/jJVseun3lIPyahP82fP7/m+Ny5c/spCTDQLTv3Q1sda7+03jk6qapa/874N6a6av0+SPxOGKjqnY35sayfvd3a7spmdgEAAGg59c7G7Fq6AAAADDjKLAAAAJVT75jdr6fOrsplWZ7Sp4kAAACgl7blmF0AAAAYUOqV3cvKsly1tcGiKP6ij/MAAABAr9U7Zve7RVHsvKWBoij+KsndfR8JAAAAeqde2f2vJHcWRbHJNXWLojgiyXeTfKJBuQAAAKDH6pXd9yZ5Kcn/LIpiSJIURTE5ye1JPlKWpasrAwAA0HJqlt2yLNcmeU+SIUkWFkUxLcmtSc4sy/LGfsgHAAAA3Vb3OrtlWa5J8jdJhie5OcnJZVn+c6ODAQAAQE/Vu87uE/nDdXZ33vD1/KIo5r+2Tlny3NOHAAAgAElEQVSWb2lcPAAAAOi+epce+kC/pAAAAIA+VLPslmX5g/4KAgAAAH2l7jG7AAAAMNAouwAAAFSOsgsAAEDl9KjsFkXxxr4OAgAAAH2l3qWHTkmyoizLuzYs/0WS25KMKorisSTHl2X5y8bHBAAAgG1X79JDf5vk5I2Wr03yvSRfTPLhJJcmOb4x0Vrb/Pnza47PnTu3n5IA26u77lhWc/zo49v7KQnbi1r/9jXq3z3vcwB6qt5uzG9O8nCSFEXx5iTjkpxTluW/JTkvyfjGxgMAAIDuq1d21yXZccPXf5Xk0bIsn96wvDrJ0EYFAwAAgJ6qV3Z/kOQzRVG8M8lHkvzLRmN/kmR5o4IBAABAT9Urux9NckCSH2X9TO7nNxo7OcmiBuUCAACAHqt5gqqyLJckOXIrY+c1JBEAAAD0Ur1LD72l3gbKsvxt38UBAACA3qt36aHHk3Qmadvs9s6N/q63DQAAAOhX9Y7ZHZL1Z2MestGfXbP+skNPJ7mroekAAACgB+ods/vKa18XRbFDkg8luSDJY0n+pizLHzc2HgAAAHRf3V2Qi6Joy/ozL1+U5L+SnFaW5fcaHQwAAAB6qt4Jqk5McnGSNUk+Wpblnf2SCgAAAHqh3sxumeSprD82tyiKonjdCmV5SiOCAQAAQE/VK7vz8oczLwMAAMCAUO8EVZ/upxwAAADQZ7blBFWDk3wgyaQkI5KsTPK9JN8oy3JtY+MBAABA99W8zm5RFLsn+XGSLyRZm+ShDX9/LsmPN4wDAABAS6k3s/v3WX+5oQllWb7w2o1FUeyS5Jsbxj/cuHgAAADQfTVndpOckOS/b1x0k6Qsy1VJZieZ1qhgAAAA0FP1yu7uSZZsZex3SXbr2zgAAADQe/V2Y/7PJEcmWbyFsYlJftXnifrRqTf8pOb49TMP6ack0Jrmz59fc3zu3Ln9lAQAWt+ycz+01bH2Sxf0YxIgqV92L09yY1EUc5LcVpblq0VRDEryniRXJPlkowMCAABAd9Xcjbksy+uTfDHJ9UleKopiaZKXknwtyeVlWX6t0QEBAACgu+ods5uyLC9LMirJcUnO3fD33mVZXtrgbAAAANAj9XZjTpKUZfl8kruSpCiKdySZWBTFz8qyfLyB2QAAAKBHas7sFkVxeVEUH9ho+ZQk/5bk2iT/XhTF1AbnAwAAgG7bluvs/nCj5c8mmVuW5R8lOSvJRY0KBgAAAD1Vr+yOKMvyt0lSFMWfJ9kjyVc3jH0jyX4NzAYAAAA9Uq/sPlcUxcgNXx+W5KdlWb68YXlIkraGJQMAAIAeqneCqjLJPxdFcVuSc5J8bqOx8Un+s1HBAAAAoKfqzeyel+TeJJOy/qRU12w0tn+SrzQmFgAAAPRczZndsizXJrl4K2NfKopiSENSAQAAQC9s03V2N1cUxU5JzkxybpI392kiAAAA6KWaZbcoindk/dmX35XksSQnJ3lHkvlJlmT9cbwAAADQUurN7M5P8h9JPpPkfUluT/JikpllWX6vwdkAAACgR+qdoOqgJGeVZfndJGcleWuSKYouAAAArazezO6Or11XtyzLF4qieK4sy9/1Q65NFEUxJcmXkuyQZEFZlp+rcxcAAAC2Y/XK7k5FUczbaHnoZsspy/LCvo/1B0VR7JDkqqy//NHvkjxQFMUdZVn+70Z+XwAAAAauemX35mx6tuV/Tv+fffngJI+VZfmrJCmK4p+T/E0SZRcAAIAtqned3VP7KUcteyd5YqPl3yUZ36QsAAAADABtnZ2dWx0simJ6WZYLN1p+R1mWv9xo+WNlWf7fjQxYFMWJWX9SrA9tWD45yfiyLOdstM4ZSc5IkrIsD1qzZk3X/R/+4Alb3fa4r32r5vf+p398eKtj7z9t3Dbl35JamZLauRqVqZ6/vuxftjp25znH1bzvhRdufU/3efPmbXUs6fnrV+t5Shr3+p3/56fXvG+t56pRz1NvMvVGvfd5rVytmOmkN7615n0b9fPXrJ+9nmZKaj9Xv3x84VbHGvX7oJ5az1NSO1dvfp83K1Mzfvbqqdr7vBm/D5LGZWrF91SjPksljf08tTXN+tzSip+FG/VZKmnc74RWzNTIzy2t8Pl8xx13TJK2euvV2435q0k2/mTykyRv2mh5XpKGlt2sv57vxrtO77Phti5lWV6b5NoNi50rV67cpg1v63p9fd9GbbuRmRr1fQfifXujFV/bZj0XtbRipnqakXkg/gzU0qqPpxVzDbTt9kYrPv+t+n1r2d6ei4H4vqmlFX/mvbZ9s92B+Dw2arvdue+oUaO2ab16ZXfztlxvuREeSDKmKIp9s77kzsj6a/4CAADAFtW7zu7m+zjXW+5zZVmuSzInyV1J/n39TeW/Nfr7AgAAMHDVm9lNURRtWT+D27al5f5QluV3knynv74fAAAAA1u9srtLknUbLbdttNyWfpjZBQAAgO6qV3b37ZcUAAAA0IfqXWf3N0VR/EmSP03yi7IsH+ufWAAAANBzNU9QVRTFqUkeTnJNkn8rimJ6f4QCAACA3qh3Nub/keTEsiz3zPpL/pzf+EgAAADQO/XK7qiyLG/f8PW3krylwXkAAACg1+qV3a7LC5Vl2bkN6wMAAEDT1Tsb8xuKovjtRsu7b7acsizN9gIAANBS6pXdI/slBQAAAPShepce+kF/BQEAAIC+4hhcAAAAKkfZBQAAoHKUXQAAACqnZtktimKv/goCAAAAfaXezO7/v/FCURT/s4FZAAAAoE/Uu/RQ22bLRzQoB9AL7Zcu2PrgDT/pvyAbqZkpaVoueu/6mYfUHL/rjmX9lKT56r7PAaBBav17vD39W1xLvZndzn5JAQAAAH2o3szu4KIoJuQPM7ybL6csy3saFQ4AAAB6ol7ZfTLJP260/NRmy51J3tbXoQAAAKA3apbdsizf2k85AAAAoM/Um9lNkhRFsUuSQ5KMSPJfSe4vy/L5RgYDAACAnqp3gqoURfGxJMuSfCfJ5Um+m2RpURQfb3A2AAAA6JGaZbcoilOTnJfk9CQ7l2XZnmTnJB9K8omiKD7Y8IQAAADQTfV2Yz47ycyyLO967YayLF9J8s2iKJ5N8sUkX2tgPgAAAOi2ersxvz3J97Yy9v04EzMAAAAtqF7ZfT7J3lsZ23vDOAAAALSUemX3W0muLopi541vLIpiaJKrktzWqGAAAADQU/WO2T0v63dXfrwoiu9m/VmZ25NMTfK7JB9obDwAAADovpozu2VZPpf119e9IOvPwvzfNvx9QZK/Ksvy2YYnBAAAgG6qN7ObsizXJvnqhj8AAADQ8uodswsAAAADjrILAABA5Si7AAAAVE6vym5RFH/eV0EAAACgr9Q9QVVRFLslGZPkN2VZrtxw27uSXJT1lyAa2tCEAAAA0E01y25RFMcm+eckb0iypiiKDyQ5PMnJSa5LMrrhCQEAAKCb6s3s/l9Jzkny9SSnJbkhyR1J3laW5TMNztZ0Rx/f3uwIDDDXzzyk2RFepxUzDUR+H/SNuXPnNjsCVNb29Huq/dIFzY7AdsbnqT8YSD9/9Y7Z3bcsy2vLsnwxyTVJhiQ5fXsougAAAAxc9cpu13hZlq8kWVWW5erGRgIAAIDeqbcb87CiKH640fKumy2nLMvD+z4WAAAA9Fy9snv6ZstfbVQQAAAA6Cs1y25Zljf0VxAAAADoKzWP2S2KYv5my6dvtnxrI0IBAABAb9Q7QdWpmy1futnypL6LAgAAAH2jXtltq7MMAAAALade2e2sswwAAAAtp97ZmAcXRTEhf5jR3Xx5h4YlAwAAgB6qV3afTPKPGy0/tdnyk32eCAAAAHqp3qWH3tpPOQAAAKDP1Dtmd4uKonhTXwcBAACAvlJzZrcoih2SzE7yp0l+kuTWJHcn+cuiKJYlOb4sywcbnhIAAAC6od7M7vysv9buc0nOTrIoyX1J/jzJ15N8sZHhAAAAoCfqld33JJlcluX/SHJMkkOSfKosy/+d5KIk72pwPgAAAOi2emX3DWVZrkySsiyXJvl9WZYvb1h+OfXP5gwAAAD9rm5ZLYqiLeuvq9uWpHOzZQAAAGg59cruLknWbbTcttFyW5LORoQCAACA3qhXdvftlxRU2ty5c5sdYUDwPDXf9TMPaXaE12nFTLS29ksX1F7hhp/0T5BuGIjv86OPb292hH4zEN9TDFwD8fdBLT7fNVfNsluW5W/6KwgAAAD0lXrX2f3Hehsoy/K0vosDAAAAvVdvN+ZTk/wyyR1J1jQ8DQAAAPSBemV3WpJTNvz5VpIby7J0YAYAAAAtrd4xu7cnub0oijcmmZHk8qIo3pTk60muLMvy2X7ICAAAAN0yaFtWKsvymbIsv5zk6CS3J/l0kgMamAsAAAB6rN5uzCmKYlDWl9yZSd6d5NtJJpZl+YMGZwMAAIAeqXc25suSFEkeTnJjklPLsnypP4IBAABAT9Wb2T07yX8m2TXJh5N8uCiKTVYoy/LwxkQDAACAnqlXdj/YLykAAACgD9U7G/MN/RUEAAAA+kq9Y3bnbeHmtUl+k+S7ZVn+V0NSAQAAQC/Uu/TQm7fw5x1Jzkzyy6Io/rKx8QAAAKD76u3GvNVjdouiOCnJpUkO6+tQAAAA0Bv1ZnZrWZjkT/sqCAAAAPSV3pTd3ZK82FdBAAAAoK/UO0HVlsrwkCRvTfKZJN9pQCYAAADolXozu+uy/uzLG/9ZneT/S/JyknMbmg4AAAB6oObMbpJ9t3DbuiTLyrJ8tQF5AAAAoNfqnY35N/0VBPrS0ce3NzsCLaj90gXNjtCv5s6d25Tv6+evtV0/85BmR+hTzXqfN0OrvnatmgtoLc34fFDvmN3/J0lnjVU6y7Kc2LeRAAAAoHfq7cb8ja3cvneSuUmG9W0cAAAA6L16uzF/dePloij2SHJ+kllJvplkXuOiAQAAQM/Um9lNkhRFsVvWn3l5TpI7kxxYluV/NjIYAAAA9FS9Y3aHJvlYknOS3Jvk0LIs/60fcgEAAECP1ZvZfTzrr8X7hSQ/TTKyKIqRG69QluU9jYkGAAAAPVOv7L6Y9Wdj/u9bGe9M8rY+TQQAAAC9VO8EVW/tpxwAAADQZwY1OwAAAAD0NWUXAACAylF2AQAAqBxlFwAAgMpRdgEAAKgcZRcAAIDKUXYBAAConJrX2W22oig+nWRWkv/acNMny7L8TvMSAQAAMBC0dNnd4B/Ksvxis0MAAAAwcNiNGQAAgMoZCDO7c4qiOCXJT5OcU5blM80OBAAAQGtretktiuJ7SfbawtAFSb6c5JIknRv+vizJaVvYxhlJzkiSsiwzYsSIrrERX/tW34fupWV1xjfO3517175f4zTy+9Z6rpr1eFsxU9V4HtmSZv3steL7sRUzbW+8BgNZ7U9izXltG5epd787G/O5s1G/z+fNm9fj+1bN+0/zOyppgbJbluVR27JeURTXJblzK9u4Nsm1GxY7V65c2UfpmqOn+Zv1uLe371tLK2YaiDyPdFcj3zOt+H5sxUzbG69BdbXia9uoTL3ZbitmYvsxatSobVqvpY/ZLYqifaPFaUkeaVYWAAAABo6mz+zW8YWiKPbP+t2YH09yZnPjAAAAMBC0dNkty/LkZmcAAABg4Gnp3ZgBAACgJ5RdAAAAKkfZBQAAoHKUXQAAACpH2QUAAKBylF0AAAAqR9kFAACgcpRdAAAAKkfZBQAAoHKUXQAAACpH2QUAAKBylF0AAAAqR9kFAACgcpRdAAAAKkfZBQAAoHIGNzsADDTtly5odgQAoEKOPr692RGgkszsAgAAUDnKLgAAAJWj7AIAAFA5yi4AAACVo+wCAABQOcouAAAAlaPsAgAAUDnKLgAAAJWj7AIAAFA5yi4AAACVo+wCAABQOcouAAAAlaPsAgAAUDnKLgAAAJWj7AIAAFA5yi4AAACVo+wCAABQOcouAAAAlaPsAgAAUDnKLgAAAJUzuNkBAGBbtF+6oNkR2I5cP/OQZkeApjv6+PaGbNfvc/qLmV0AAAAqR9kFAACgcpRdAAAAKkfZBQAAoHKUXQAAACpH2QUAAKBylF0AAAAqR9kFAACgcpRdAAAAKkfZBQAAoHKUXQAAACpH2QUAAKBylF0AAAAqR9kFAACgcpRdAAAAKkfZBQAAoHKUXQAAACpH2QUAAKBylF0AAAAqZ3CzA2yP2i9d0OwIA4bnqrqun3lIsyMAAFBhZnYBAACoHGUXAACAylF2AQAAqBxlFwAAgMpRdgEAAKgcZRcAAIDKUXYBAACoHGUXAACAylF2AQAAqBxlFwAAgMpRdgEAAKgcZRcAAIDKUXYBAACoHGUXAACAylF2AQAAqBxlFwAAgMpRdgEAAKgcZRcAAIDKUXYBAAConMHNDsDAcP3MQ5odAWC7MXfu3GZHgMo6+vj2ZkcA+omZXQAAACpH2QUAAKBylF0AAAAqR9kFAACgcpRdAAAAKkfZBQAAoHKUXQAAACpH2QUAAKBylF0AAAAqR9kFAACgcpRdAAAAKkfZBQAAoHKUXQAAACpH2QUAAKBylF0AAAAqZ3CzAxRFMT3Jp5OMTXJwWZY/3Wjs/CSnJ3klydyyLO9qSkgAAAAGlFaY2X0kyXuS/HDjG4ui+NMkM5L8WZIpSa4uimKH/o8HAADAQNP0sluW5b+XZfnLLQz9TZJ/Lsvy5bIsf53ksSQH9286AAAABqKml90a9k7yxEbLv9twGwAAANTUL8fsFkXxvSR7bWHogrIsb++D7Z+R5IwkKcsyI0aM6O0mW9iyrY5U+3EDNMa8efOaHQGgYbb+ydFnR6qvX8puWZZH9eBuS5K8eaPlfTbctqXtX5vk2g2LnStXruzBtxv4ttfHDQBA9/nsyEA1atSobVqv6WdjruGOJDcVRXF5klFJxiT5X82NBAAAwEDQ9GN2i6KYVhTF75IckuTbRVHclSRlWf5bkjLJ/06yKMnssixfaV5SAAAABoqmz+yWZXlbktu2MvaZJJ/p30QAAAAMdE2f2QUAAIC+puwCAABQOcouAAAAlaPsAgAAUDnKLgAAAJWj7AIAAFA5yi4AAACVo+wCAABQOcouAAAAlaPsAgAAUDnKLgAAAJWj7AIAAFA5yi4AAACVo+wCAABQOcouAAAAlaPsAgAAUDltnZ2dzc7Q1zqXLl3a7AwAAAA0wKhRo5Kkrd56ZnYBAACoHGUXAACAylF2AQAAqBxlFwAAgMpRdgEAAKgcZRcAAIDKUXYBAACoHGUXAACAylF2AQAAqBxlFwAAgMpRdgEAAKgcZRcAAIDKUXYBAACoHGUXAACAylF2AQAAqBxlFwAAgMpRdgGA/9PevQfbNd5hHP8eiVtEKQ1FmLiE0lRCTJppUUFVlKTV8cMwqaqO+61KhZZoa6qldavRkmhQt4eq6mU0ipbO1C3KoJG21CVBonWpS4nI7h/vu9k5Ofs4M03Wu87O85k5c/ba2cl5svc+v/3+1nrftczMzDqOm10zMzMzMzPrOG52zczMzMzMrOO42TUzMzMzM7OO42bXzMzMzMzMOk5Xo9EonWFp67j/kJmZmZmZmS2m6/0e0IlHdruW1ldEzFya/54zLd+Z6prLmZxpecjlTM60PORyJmdaHnI5kzO1fL2vTmx2zczMzMzMbDnnZtfMzMzMzMw6jpvd3l1SOkAPnKlv6pgJ6pnLmfrGmfqujrmcqW+cqe/qmMuZ+saZ+q6OuZypb5wJOvIEVWZmZmZmZrac85FdMzMzMzMz6zgDSweoo4jYHTgfGABMlXRW4UhExGXAnsB8SSNK5wGIiA2BK4B1SZd8ukTS+YUzrQLcCaxMen/fIOn0kpmaImIAcD8wV9KeNcjzJPAq8A6wUNJ2ZRMlEbEmMBUYQXpfHSzpzwXzbAFc13LXJsBpks4rFAmAiDgeOIT0HD0MfEnSm4UzHQt8hXSGxEtLPUc91cuIWIv0Og4DngRC0kuFM+0DTAG2BMZIur+qPL1kOhvYC1gAPE56X71cONO3gYnAImA+cJCkZ0tmavmzE4BzgCGS/lVVpna5ImIK6XfwhfywUyT9tmSmfP/RwJGkz5vfSDqpZKaIuA7YIj9kTeBlSaMKZxoF/BhYBVgIHCHp3sKZRuZMg0l18wBJ/6kwU4/jzJL1vJdMpet5u1zFanovmSqt6T6y201uSC4CxgNbAftHxFZlUwEwHdi9dIhuFgInSNoKGAscWYPn6i1gZ0kjgVHA7hExtnCmpmOBWaVDdDNO0qi6NLrZ+cAtkj4CjKTwcyZpdn6ORgGjgTeAX5TMFBEbAMcA2+VByQBgv8KZRpAG2WNIr9ueEbFZoTjTWbJengzcJmk4cFveLp3pEWBv0g66EqazZKZbgRGStgb+BkyuQaazJW2dfwd/DZxWg0zNgdxuwNMV52maTs/jgnObNavKRrddpogYRxrYjpT0UdLOgaKZJO3bUtd/DtxYOhPwfeCMnOm0vF0601TgZEkfI33unVhxpnbjzJL1vF2m0vW8Xa6SNb1dpkprupvdJY0B/iHpCUkLgGtJRbooSXcCL5bO0UrSc5IeyLdfJTUlGxTO1JD0Wt5cMX8VX5geEUOBz5I+OKyNiFgD2BGYBiBpQZVHlfpgF+BxSU+VDkKaubBqRAwEBgGVHelqY0vgHklvSFoI/JH0wV+5NvVyInB5vn058LnSmSTNkjS7yhzdfn5PmWbk1w/gbmBoDTK1HklajYprei+fv+cCJ1Wdp6mm44KeMh0OnCXprfyY+TXIBEBEdAEBXFODTA3gA/n2GlRc09tk2pz3mrdbgS9UnKndOLNYPW+XqQb1vF2uYjW9l0yV1nRPY17SBsAzLdtzgI8XytJvRMQwYBvgnsJRmkfnZwKbARdJKp4JOI80KFq9dJAWDWBGRDSAn0iqw1n7NiZNv/tpnj41EzhW0utlY71rPyoeFPVE0tyIOId0ROm/wAxJMwrHegQ4MyLWzpn2IE3br4t1JT2Xbz9PmlZlvTuYxafwFxMRZwKTgFeAcYXjEBETSUtSHoqI0nG6OyoiJpF+/06ocrp+G5sDO+TX8E3ga5LuK5ypaQdgnqS/lw4CHAf8Ltf2FYBPFM4D8CipsbwJ2AfYsFSQbuPMWtTzOo19W/WSq1hN756pypruI7v2f4uIwaRpQMdVuZajHUnv5KkRQ4ExeXplMRHRXAMzs2SOHmwvaVvSlP0jI2LH0oFIO+C2BS6WtA3wOtVPN+1RRKwETACur0GWD5IGIBsD6wOrRcSBJTNJmgV8D5gB3AI8SFqfVzuSGtRgxkedRcSppCloV5XOAiDpVEkbkvIcVTJLRAwCTqH66dR9cTGwKWkZz3PAD8rGAVJdX4s0jfFEQPmIah3sTw12YGaHA8fn9/nx5BlOhR0MHBERM0k76xeUCNHbOLNUPa/b2LepXa6SNb2nTFXWdDe7S5rL4nuuhub7rAcRsSLpDXyVpKrXvPQqT3+9g/JrnT8JTMgnhLoW2DkiflY2Ujo6mL/PJ63FGVM2EZBmUsxpORp/A6n5rYPxwAOS5pUOAuwK/FPSC5LeJq03K34UQNI0SaMl7Qi8RFofVBfzImI9gPy90qmU/UlEHEQ6Uc0BeSBZJ1dR8VTKHmxK2tH0UK7rQ4EHIuLDRVMBkublHb6LgEupT12/MS8zupd0UpoPFc5EXgKyNzWZvQB8kffWDl9PDV47SY9J2k3SaNJOgcerztBmnFm0ntd17NsuV8ma3ofnapnXdDe7S7oPGB4RG+cjOfsBNxfOVEt5z+w0YJakH5bOAxARQ/LZfImIVYFPA4+VzCRpsqShkoaR3k+3Syp6FC4iVouI1Zu3SSdZeaRkJgBJzwPP5DMgQ1oj+9eCkVrV6QjA08DYiBiUfw93oQYnP4uIdfL3jUiDyKvLJlrMzaTBJPn7Lwtmqa18NYKTgAmS3iidByAihrdsTqR8TX9Y0jqShuW6PgfYNtevopoNQPZ5alDXSVNgxwFExObASkClZ65uY1fgMUlzSgfJngU+lW/vDBSfWt1S01cAvkE6M3OVP7/dOLNYPa/j2Bfa5ypZ03vJVGlN72o06rbTtryI2IO0xnIAcJmkMwtHIiKuAXYi7Q2dB5wuqegUl4jYHriLdNmTRfnuSi9z0EOmrUknKxhA2pkjSd8qlae7iNiJtF6p6KWHImIT3juj8EDg6jq8z+Hdyy9MJQ2IniCdJr/omrO8Q+BpYBNJr5TM0hQRZwD7kqYl/QU4pHkCmIKZ7gLWBt4GvirptkI5lqiXpAG3gI2Ap0iXqqjs5D5tMr0IXAgMAV4GHpT0mcKZJpMu3fbv/LC7JR1WONMepMvELCK9doc1Z6aUytT6+ZuP7m6n6i891NNztRNpCnODdEmWQ1vWNpbKdCVwWc61gPQZeHvJTJKmRcR00vu70gauXSZgNulqBANJa5uPqHL5U5tMg0mXjIJ01HlylUcG240zSes+i9TzXjKtTNl63i7XBRSq6b1k+jIV1nQ3u2ZmZmZmZtZxPI3ZzMzMzMzMOo6bXTMzMzMzM+s4bnbNzMzMzMys47jZNTMzMzMzs47jZtfMzMzMzMw6jptdMzMzMzMz6zgDSwcwMzMziIjXWjYHAW8B7+TtQ4HhwGaSDsyPbwAvAOtLWpjvWxGYCwyR1JXv+wMwlnRN5qY7JO217P43ZmZm5bnZNTMzqwFJg5u3I+JJ4BBJv2+5b0oPf+0lYDzwq7w9Pt83pNvjjpI0dWnmNTMzqztPYzYzM+u/rgQmtWxPAq4olMXMzKxWfGTXzMys/7oJODoi1gS6gB2AKcB3SoYyMzOrAze7ZmZm/debpCnM+5Ka3Zvzfd1dEBHntGxfKOmbFeQzMzMrxs2umZlZ/3YF8F1Ss/v1No85xmt2zcxseeM1u2ZmZv3bXcB6wLrAnwpnMTMzqw03u2ZmZv2YpAawFzAh3zYzMzM8jdnMzKzfk/To+zzkRxFxXsv2bEmjl93SFM0AAAB2SURBVGUmMzOz0roaDe8ENjMzMzMzs87iacxmZmZmZmbWcdzsmpmZmZmZWcdxs2tmZmZmZmYdx82umZmZmZmZdRw3u2ZmZmZmZtZx3OyamZmZmZlZx3Gza2ZmZmZmZh3Hza6ZmZmZmZl1HDe7ZmZmZmZm1nH+B8HTFdu4+X5qAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 4.22 s\n"
     ]
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "# sns.mpl.rc(\"figure\", figsize=(9,14))\n",
    "plt.rcParams[\"figure.figsize\"] = [16,9]\n",
    "ax = sns.barplot(x = 'TIME', y=\"NUMBER OF PERSONS KILLED\", hue=\"DATE\", data=data_diff)\n",
    "\n",
    "# replace labels\n",
    "leg = ax.axes.get_legend()\n",
    "new_labels = ['2013 - 2014', '2014 - 2015', '2015 - 2016', '2016 - 2017', ]\n",
    "for t, l in zip(leg.texts, new_labels): t.set_text(l)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 5.06 s\n"
     ]
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = [16,9]\n",
    "ax = sns.barplot(x = 'TIME', y=\"NUMBER OF PERSONS KILLED\", hue=\"DATE\", data=data_vision)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TIME</th>\n",
       "      <th>NUMBER OF PERSONS KILLED</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DATE</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>276</td>\n",
       "      <td>297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>276</td>\n",
       "      <td>262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>276</td>\n",
       "      <td>243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>276</td>\n",
       "      <td>237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>276</td>\n",
       "      <td>253</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      TIME  NUMBER OF PERSONS KILLED\n",
       "DATE                                \n",
       "2013   276                       297\n",
       "2014   276                       262\n",
       "2015   276                       243\n",
       "2016   276                       237\n",
       "2017   276                       253"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 45.3 ms\n"
     ]
    }
   ],
   "source": [
    "data_vision.groupby('DATE').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TIME</th>\n",
       "      <th>NUMBER OF PERSONS INJURED</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DATE</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>276</td>\n",
       "      <td>55121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>276</td>\n",
       "      <td>51217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>276</td>\n",
       "      <td>51356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>276</td>\n",
       "      <td>58895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>276</td>\n",
       "      <td>60103</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      TIME  NUMBER OF PERSONS INJURED\n",
       "DATE                                 \n",
       "2013   276                      55121\n",
       "2014   276                      51217\n",
       "2015   276                      51356\n",
       "2016   276                      58895\n",
       "2017   276                      60103"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time: 41.6 ms\n"
     ]
    }
   ],
   "source": [
    "data_vision.groupby('DATE').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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