1. Feature Selection- Dropping Constant Features.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature Selection- Dropping constant features\n",
    "In this step we will be removing the features which have constant features which are actually not important\n",
    "for solving the problem statement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import pandas to create DataFrame \n",
    "import pandas as pd \n",
    "  \n",
    "# Make DataFrame of the given data \n",
    "data = pd.DataFrame({\"A\":[1,2,4,1,2,4], \n",
    "                    \"B\":[4,5,6,7,8,9], \n",
    "                    \"C\":[0,0,0,0,0,0],\n",
    "                    \"D\":[1,1,1,1,1,1]}) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "   A  B  C  D\n",
       "0  1  4  0  1\n",
       "1  2  5  0  1\n",
       "2  4  6  0  1\n",
       "3  1  7  0  1\n",
       "4  2  8  0  1"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Variance Threshold\n",
    "Feature selector that removes all low-variance features.\n",
    "\n",
    "This feature selection algorithm looks only at the features (X), not the desired outputs (y), and can thus be used for unsupervised learning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "VarianceThreshold(threshold=0)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### It will zero variance features\n",
    "from sklearn.feature_selection import VarianceThreshold\n",
    "var_thres=VarianceThreshold(threshold=0)\n",
    "var_thres.fit(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ True,  True, False, False])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var_thres.get_support()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['A', 'B'], dtype='object')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns[var_thres.get_support()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n"
     ]
    }
   ],
   "source": [
    "constant_columns = [column for column in data.columns\n",
    "                    if column not in data.columns[var_thres.get_support()]]\n",
    "\n",
    "print(len(constant_columns))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C\n",
      "D\n"
     ]
    }
   ],
   "source": [
    "for feature in constant_columns:\n",
    "     print(feature)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "   A  B\n",
       "0  1  4\n",
       "1  2  5\n",
       "2  4  6\n",
       "3  1  7\n",
       "4  2  8\n",
       "5  4  9"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "data.drop(constant_columns,axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Lets practise on bigger dataset\n",
    "https://www.kaggle.com/c/santander-customer-satisfaction/data?select=train.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from sklearn.feature_selection import VarianceThreshold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv('santander.csv',nrows=10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10000, 371)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
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       "   ID  var3  var15  imp_ent_var16_ult1  imp_op_var39_comer_ult1  \\\n",
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       "3   8     2     37                 0.0                    195.0   \n",
       "4  10     2     39                 0.0                      0.0   \n",
       "\n",
       "   imp_op_var39_comer_ult3  imp_op_var40_comer_ult1  imp_op_var40_comer_ult3  \\\n",
       "0                      0.0                      0.0                      0.0   \n",
       "1                      0.0                      0.0                      0.0   \n",
       "2                      0.0                      0.0                      0.0   \n",
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       "\n",
       "   imp_op_var40_efect_ult1  imp_op_var40_efect_ult3  ...  \\\n",
       "0                        0                        0  ...   \n",
       "1                        0                        0  ...   \n",
       "2                        0                        0  ...   \n",
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       "4                        0                        0  ...   \n",
       "\n",
       "   saldo_medio_var33_hace2  saldo_medio_var33_hace3  saldo_medio_var33_ult1  \\\n",
       "0                      0.0                      0.0                     0.0   \n",
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       "\n",
       "   saldo_medio_var33_ult3  saldo_medio_var44_hace2  saldo_medio_var44_hace3  \\\n",
       "0                     0.0                      0.0                      0.0   \n",
       "1                     0.0                      0.0                      0.0   \n",
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       "3                     0.0                      0.0                      0.0   \n",
       "4                     0.0                      0.0                      0.0   \n",
       "\n",
       "   saldo_medio_var44_ult1  saldo_medio_var44_ult3          var38  TARGET  \n",
       "0                     0.0                     0.0   39205.170000       0  \n",
       "1                     0.0                     0.0   49278.030000       0  \n",
       "2                     0.0                     0.0   67333.770000       0  \n",
       "3                     0.0                     0.0   64007.970000       0  \n",
       "4                     0.0                     0.0  117310.979016       0  \n",
       "\n",
       "[5 rows x 371 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=df.drop(labels=['TARGET'], axis=1)\n",
    "y=df['TARGET']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((7000, 370), (3000, 370))"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "# separate dataset into train and test\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    df.drop(labels=['TARGET'], axis=1),\n",
    "    df['TARGET'],\n",
    "    test_size=0.3,\n",
    "    random_state=0)\n",
    "\n",
    "X_train.shape, X_test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Lets apply the variance threshold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "VarianceThreshold(threshold=0)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var_thres=VarianceThreshold(threshold=0)\n",
    "var_thres.fit(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        True,  True,  True,  True, False, False,  True,  True,  True,\n",
       "        True,  True, False, False,  True,  True,  True,  True,  True,\n",
       "        True,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True,  True,  True,  True,  True,  True, False, False, False,\n",
       "       False,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True,  True, False, False,  True,  True,  True,  True,  True,\n",
       "        True,  True,  True, False,  True,  True,  True,  True,  True,\n",
       "       False, False,  True,  True,  True,  True,  True,  True,  True,\n",
       "       False,  True,  True,  True, False,  True,  True,  True,  True,\n",
       "       False, False,  True,  True,  True,  True,  True, False,  True,\n",
       "        True, False,  True,  True, False,  True, False, False,  True,\n",
       "        True,  True,  True,  True, False, False,  True, False,  True,\n",
       "       False,  True,  True,  True,  True,  True,  True, False, False,\n",
       "        True, False,  True, False,  True, False, False, False, False,\n",
       "        True,  True,  True,  True,  True,  True, False,  True,  True,\n",
       "        True, False,  True, False, False, False, False,  True,  True,\n",
       "       False,  True, False, False, False,  True, False, False, False,\n",
       "        True, False,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True, False, False,  True,  True,  True,  True,  True,  True,\n",
       "       False,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True,  True,  True,  True,  True,  True,  True, False,  True,\n",
       "        True,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True,  True,  True,  True,  True,  True,  True, False,  True,\n",
       "       False, False, False, False,  True,  True,  True,  True, False,\n",
       "        True, False, False, False,  True, False, False, False,  True,\n",
       "        True,  True,  True,  True, False,  True,  True,  True,  True,\n",
       "        True,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True,  True,  True,  True,  True,  True,  True, False, False,\n",
       "       False, False,  True,  True,  True,  True, False, False,  True,\n",
       "        True,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var_thres.get_support()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "284"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### Finding non constant features\n",
    "sum(var_thres.get_support())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "204"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lets Find non-constant features \n",
    "len(X_train.columns[var_thres.get_support()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "86\n"
     ]
    }
   ],
   "source": [
    "constant_columns = [column for column in X_train.columns\n",
    "                    if column not in X_train.columns[var_thres.get_support()]]\n",
    "\n",
    "print(len(constant_columns))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ind_var2_0\n",
      "ind_var2\n",
      "ind_var13_medio_0\n",
      "ind_var13_medio\n",
      "ind_var18_0\n",
      "ind_var18\n",
      "ind_var27_0\n",
      "ind_var28_0\n",
      "ind_var28\n",
      "ind_var27\n",
      "ind_var34_0\n",
      "ind_var34\n",
      "ind_var41\n",
      "ind_var46_0\n",
      "ind_var46\n",
      "num_var13_medio_0\n",
      "num_var13_medio\n",
      "num_var18_0\n",
      "num_var18\n",
      "num_var27_0\n",
      "num_var28_0\n",
      "num_var28\n",
      "num_var27\n",
      "num_var34_0\n",
      "num_var34\n",
      "num_var41\n",
      "num_var46_0\n",
      "num_var46\n",
      "saldo_var13_medio\n",
      "saldo_var18\n",
      "saldo_var28\n",
      "saldo_var27\n",
      "saldo_var34\n",
      "saldo_var41\n",
      "saldo_var46\n",
      "delta_imp_amort_var18_1y3\n",
      "delta_imp_amort_var34_1y3\n",
      "delta_imp_reemb_var17_1y3\n",
      "delta_imp_reemb_var33_1y3\n",
      "delta_imp_trasp_var17_out_1y3\n",
      "delta_imp_trasp_var33_out_1y3\n",
      "delta_num_reemb_var17_1y3\n",
      "delta_num_reemb_var33_1y3\n",
      "delta_num_trasp_var17_out_1y3\n",
      "delta_num_trasp_var33_out_1y3\n",
      "imp_amort_var18_hace3\n",
      "imp_amort_var18_ult1\n",
      "imp_amort_var34_hace3\n",
      "imp_amort_var34_ult1\n",
      "imp_var7_emit_ult1\n",
      "imp_reemb_var13_hace3\n",
      "imp_reemb_var17_hace3\n",
      "imp_reemb_var17_ult1\n",
      "imp_reemb_var33_hace3\n",
      "imp_reemb_var33_ult1\n",
      "imp_trasp_var17_in_hace3\n",
      "imp_trasp_var17_out_hace3\n",
      "imp_trasp_var17_out_ult1\n",
      "imp_trasp_var33_in_hace3\n",
      "imp_trasp_var33_out_hace3\n",
      "imp_trasp_var33_out_ult1\n",
      "imp_venta_var44_hace3\n",
      "ind_var7_emit_ult1\n",
      "num_var2_0_ult1\n",
      "num_var2_ult1\n",
      "num_var7_emit_ult1\n",
      "num_meses_var13_medio_ult3\n",
      "num_reemb_var13_hace3\n",
      "num_reemb_var17_hace3\n",
      "num_reemb_var17_ult1\n",
      "num_reemb_var33_hace3\n",
      "num_reemb_var33_ult1\n",
      "num_trasp_var17_in_hace3\n",
      "num_trasp_var17_out_hace3\n",
      "num_trasp_var17_out_ult1\n",
      "num_trasp_var33_in_hace3\n",
      "num_trasp_var33_out_hace3\n",
      "num_trasp_var33_out_ult1\n",
      "num_venta_var44_hace3\n",
      "saldo_var2_ult1\n",
      "saldo_medio_var13_medio_hace2\n",
      "saldo_medio_var13_medio_hace3\n",
      "saldo_medio_var13_medio_ult1\n",
      "saldo_medio_var13_medio_ult3\n",
      "saldo_medio_var29_hace2\n",
      "saldo_medio_var29_hace3\n"
     ]
    }
   ],
   "source": [
    "for column in constant_columns:\n",
    "    print(column)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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>ID</th>\n",
       "      <th>var3</th>\n",
       "      <th>var15</th>\n",
       "      <th>imp_ent_var16_ult1</th>\n",
       "      <th>imp_op_var39_comer_ult1</th>\n",
       "      <th>imp_op_var39_comer_ult3</th>\n",
       "      <th>imp_op_var40_comer_ult1</th>\n",
       "      <th>imp_op_var40_comer_ult3</th>\n",
       "      <th>imp_op_var40_efect_ult1</th>\n",
       "      <th>imp_op_var40_efect_ult3</th>\n",
       "      <th>...</th>\n",
       "      <th>saldo_medio_var29_ult3</th>\n",
       "      <th>saldo_medio_var33_hace2</th>\n",
       "      <th>saldo_medio_var33_hace3</th>\n",
       "      <th>saldo_medio_var33_ult1</th>\n",
       "      <th>saldo_medio_var33_ult3</th>\n",
       "      <th>saldo_medio_var44_hace2</th>\n",
       "      <th>saldo_medio_var44_hace3</th>\n",
       "      <th>saldo_medio_var44_ult1</th>\n",
       "      <th>saldo_medio_var44_ult3</th>\n",
       "      <th>var38</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7681</th>\n",
       "      <td>15431</td>\n",
       "      <td>2</td>\n",
       "      <td>42</td>\n",
       "      <td>840.0</td>\n",
       "      <td>4477.02</td>\n",
       "      <td>4989.54</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>37491.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9031</th>\n",
       "      <td>18181</td>\n",
       "      <td>2</td>\n",
       "      <td>31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.32</td>\n",
       "      <td>52.32</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>106685.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3691</th>\n",
       "      <td>7411</td>\n",
       "      <td>2</td>\n",
       "      <td>51</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66144.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>407</td>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>92121.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5625</th>\n",
       "      <td>11280</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>74650.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9225</th>\n",
       "      <td>18564</td>\n",
       "      <td>2</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>117547.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4859</th>\n",
       "      <td>9723</td>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>71050.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3264</th>\n",
       "      <td>6557</td>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>...</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>141069.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9845</th>\n",
       "      <td>19796</td>\n",
       "      <td>2</td>\n",
       "      <td>38</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86412.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2732</th>\n",
       "      <td>5441</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45985.68</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7000 rows × 284 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         ID  var3  var15  imp_ent_var16_ult1  imp_op_var39_comer_ult1  \\\n",
       "7681  15431     2     42               840.0                  4477.02   \n",
       "9031  18181     2     31                 0.0                    52.32   \n",
       "3691   7411     2     51                 0.0                     0.00   \n",
       "202     407     2     36                 0.0                     0.00   \n",
       "5625  11280     2     23                 0.0                     0.00   \n",
       "...     ...   ...    ...                 ...                      ...   \n",
       "9225  18564     2     33                 0.0                     0.00   \n",
       "4859   9723     2     24                 0.0                     0.00   \n",
       "3264   6557     2     24                 0.0                     0.00   \n",
       "9845  19796     2     38                 0.0                     0.00   \n",
       "2732   5441     2     23                 0.0                     0.00   \n",
       "\n",
       "      imp_op_var39_comer_ult3  imp_op_var40_comer_ult1  \\\n",
       "7681                  4989.54                      0.0   \n",
       "9031                    52.32                      0.0   \n",
       "3691                     0.00                      0.0   \n",
       "202                      0.00                      0.0   \n",
       "5625                     0.00                      0.0   \n",
       "...                       ...                      ...   \n",
       "9225                     0.00                      0.0   \n",
       "4859                     0.00                      0.0   \n",
       "3264                     0.00                      0.0   \n",
       "9845                     0.00                      0.0   \n",
       "2732                     0.00                      0.0   \n",
       "\n",
       "      imp_op_var40_comer_ult3  imp_op_var40_efect_ult1  \\\n",
       "7681                      0.0                        0   \n",
       "9031                      0.0                        0   \n",
       "3691                      0.0                        0   \n",
       "202                       0.0                        0   \n",
       "5625                      0.0                        0   \n",
       "...                       ...                      ...   \n",
       "9225                      0.0                        0   \n",
       "4859                      0.0                        0   \n",
       "3264                      0.0                        0   \n",
       "9845                      0.0                        0   \n",
       "2732                      0.0                        0   \n",
       "\n",
       "      imp_op_var40_efect_ult3  ...  saldo_medio_var29_ult3  \\\n",
       "7681                        0  ...                     0.0   \n",
       "9031                        0  ...                     0.0   \n",
       "3691                        0  ...                     0.0   \n",
       "202                         0  ...                     0.0   \n",
       "5625                        0  ...                     0.0   \n",
       "...                       ...  ...                     ...   \n",
       "9225                        0  ...                     0.0   \n",
       "4859                        0  ...                     0.0   \n",
       "3264                        0  ...                     0.0   \n",
       "9845                        0  ...                     0.0   \n",
       "2732                        0  ...                     0.0   \n",
       "\n",
       "      saldo_medio_var33_hace2  saldo_medio_var33_hace3  \\\n",
       "7681                      0.0                      0.0   \n",
       "9031                      0.0                      0.0   \n",
       "3691                      0.0                      0.0   \n",
       "202                       0.0                      0.0   \n",
       "5625                      0.0                      0.0   \n",
       "...                       ...                      ...   \n",
       "9225                      0.0                      0.0   \n",
       "4859                      0.0                      0.0   \n",
       "3264                      0.0                      0.0   \n",
       "9845                      0.0                      0.0   \n",
       "2732                      0.0                      0.0   \n",
       "\n",
       "      saldo_medio_var33_ult1  saldo_medio_var33_ult3  saldo_medio_var44_hace2  \\\n",
       "7681                     0.0                     0.0                      0.0   \n",
       "9031                     0.0                     0.0                      0.0   \n",
       "3691                     0.0                     0.0                      0.0   \n",
       "202                      0.0                     0.0                      0.0   \n",
       "5625                     0.0                     0.0                      0.0   \n",
       "...                      ...                     ...                      ...   \n",
       "9225                     0.0                     0.0                      0.0   \n",
       "4859                     0.0                     0.0                      0.0   \n",
       "3264                     0.0                     0.0                      0.0   \n",
       "9845                     0.0                     0.0                      0.0   \n",
       "2732                     0.0                     0.0                      0.0   \n",
       "\n",
       "      saldo_medio_var44_hace3  saldo_medio_var44_ult1  saldo_medio_var44_ult3  \\\n",
       "7681                      0.0                     0.0                     0.0   \n",
       "9031                      0.0                     0.0                     0.0   \n",
       "3691                      0.0                     0.0                     0.0   \n",
       "202                       0.0                     0.0                     0.0   \n",
       "5625                      0.0                     0.0                     0.0   \n",
       "...                       ...                     ...                     ...   \n",
       "9225                      0.0                     0.0                     0.0   \n",
       "4859                      0.0                     0.0                     0.0   \n",
       "3264                      0.0                     0.0                     0.0   \n",
       "9845                      0.0                     0.0                     0.0   \n",
       "2732                      0.0                     0.0                     0.0   \n",
       "\n",
       "          var38  \n",
       "7681   37491.21  \n",
       "9031  106685.94  \n",
       "3691   66144.66  \n",
       "202    92121.36  \n",
       "5625   74650.83  \n",
       "...         ...  \n",
       "9225  117547.89  \n",
       "4859   71050.83  \n",
       "3264  141069.33  \n",
       "9845   86412.15  \n",
       "2732   45985.68  \n",
       "\n",
       "[7000 rows x 284 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.drop(constant_columns,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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