Get Data From DB for CD Variables.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import cx_Oracle\n",
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "ip = '172.16.80.74'\n",
    "port = '1521'\n",
    "SID = 'RPTDB'\n",
    "\n",
    "dsn_tns = cx_Oracle.makedsn(ip, port, SID)\n",
    "connection = cx_Oracle.connect('ANLYUSR', 'ANLYUSR$', dsn_tns, encoding='iso-8859-1')"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "DROP TABLE ANLYUSR.TEM_TBL_TRN_CV_ACCOUNTS;\n",
    "CREATE TABLE ANLYUSR.TEM_TBL_TRN_CV_ACCOUNTS as\n",
    "SELECT PROPNO,sum(CASE WHEN LATESTBALANCE <= 0 THEN 0 ELSE LATESTBALANCE END) as LATESTBALANCE\n",
    "FROM BIUSR.TBL_TRN_CV_ACCOUNTS WHERE SUBSTR(PROPNO,5,2) = 'CD'\n",
    "GROUP BY PROPNO;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"SELECT \\\n",
    "tb1.PROPNO,tb1.AGMTNO,tb1.DEALER_CODE,tb1.PORTFOLIO, \\\n",
    "tb6.PREPAIDPOSTPAIDFLAG, tb6.AVGMOBILEBILLAMOUNTLAST3MON, tb6.AVGMOBRECHARGEAMOUNTLAST3MON, \\\n",
    "tb4.INSTALLTIME,tb4.LASTPINGTIME,tb4.REQUESTTIME, \\\n",
    "tb1.DEALER_TYPE, \\\n",
    "tb1.PRODUCT_CODE, \\\n",
    "tb1.MODEL_CODE, \\\n",
    "tb1.SCHEME_TYPE, \\\n",
    "tb1.LTV, \\\n",
    "tb1.STATE, \\\n",
    "tb1.IMEI_NUMBER, \\\n",
    "tb7.MAKE_CODE, \\\n",
    "tb7.MODEL_DESC, \\\n",
    "tb2.CITY as DEALER_CITY, \\\n",
    "tb1.REGISTRATION_TYPE, \\\n",
    "tb1.SCHEME_CODE, \\\n",
    "tb1.CIBIL_HIT,tb1.SURROGATE, \\\n",
    "tb1.ACTUAL_LOAN_AMOUNT, \\\n",
    "tb1.CITY, \\\n",
    "tb5.LATESTBALANCE, \\\n",
    "tb1.GENDER, \\\n",
    "tb1.QUALIFICATION, \\\n",
    "tb1.AGE, \\\n",
    "tb1.CIBIL_SCORE, \\\n",
    "tb1.EXISTING_CUSTOMER, \\\n",
    "tb1.SPL_INSURANCE_TYPE, \\\n",
    "tb1.ADDRESS_TYPE,tb1.RESIDENT_TYPE, \\\n",
    "tb8.ADDRESS1, tb8.ADDRESS2, tb8.ADDRESS3, \\\n",
    "tb1.VOTERID,tb1.PANNO,tb1.DRIVING_LICENSE,tb1.PASSPORT,tb1.AADHAR,tb1.RATION, \\\n",
    "tb3.ACTIVITY_CODE, \\\n",
    "tb3.TAT_HOUR, \\\n",
    "tb3.TAT_DAYS,tb3.TAT_DAYS_EXCLUDE_SUNDAY, \\\n",
    "tb1.PAYMENT_TYPE, \\\n",
    "tb1.IFSC_CODE, \\\n",
    "tb1.ELIGIBILITYGRID, \\\n",
    "tb1.ELIGIBILITYGRID_REMARK \\\n",
    "FROM \\\n",
    "BIUSR.TBL_TRN_CUSTOMER_DETAILS tb1 \\\n",
    "INNER JOIN \\\n",
    "BIUSR.TBL_MST_DEALER tb2 \\\n",
    "ON tb1.DEALER_CODE = tb2.DEALER_CODE \\\n",
    "AND tb1.PORTFOLIO = 'CD' \\\n",
    "AND tb2.PORTFOLIO = 'CD' \\\n",
    "INNER JOIN \\\n",
    "BIUSR.TVS_TRAN_ACTIVITY tb3 \\\n",
    "ON tb1.PROPNO = tb3.PROPNO \\\n",
    "AND tb3.PORTFOLIO = 'CD' \\\n",
    "AND tb3.ACTIVITY_CODE = 'DISBURSAL_TAT' \\\n",
    "LEFT OUTER JOIN \\\n",
    "BIUSR.TBL_TRN_CV_METADATA tb4 \\\n",
    "ON tb1.PROPNO = tb4.PROPNO \\\n",
    "AND SUBSTR(tb4.PROPNO,5,2) = 'CD' \\\n",
    "LEFT OUTER JOIN \\\n",
    "ANLYUSR.TEM_TBL_TRN_CV_ACCOUNTS tb5 \\\n",
    "ON tb1.PROPNO = tb5.PROPNO \\\n",
    "AND SUBSTR(tb5.PROPNO,5,2) = 'CD' \\\n",
    "LEFT OUTER JOIN \\\n",
    "BIUSR.TBL_TRN_CV_UTILITYACCOUNT tb6 \\\n",
    "ON tb1.PROPNO = tb6.PROPNO \\\n",
    "AND SUBSTR(tb6.PROPNO,5,2) = 'CD' \\\n",
    "INNER JOIN \\\n",
    "BIUSR.TBL_MST_MODEL tb7 \\\n",
    "ON tb1.MODEL_CODE = tb7.MODEL_CODE \\\n",
    "AND tb7.PORTFOLIO = 'CD' \\\n",
    "INNER JOIN \\\n",
    "BIUSR.TBL_TRN_CUSTOMER_ADDRESS tb8 \\\n",
    "ON tb1.PROPNO = tb8.PROPNO \\\n",
    "AND tb8.ADDRESS_TYPE = 'RS' \\\n",
    "AND tb8.ADDRESS_SLNO = 1\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [],
   "source": [
    "Data = pd.read_sql(query, con=connection, chunksize=40000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.concat([chunk for chunk in Data])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>PROPNO</th>\n",
       "      <th>AGMTNO</th>\n",
       "      <th>DEALER_CODE</th>\n",
       "      <th>PORTFOLIO</th>\n",
       "      <th>PREPAIDPOSTPAIDFLAG</th>\n",
       "      <th>AVGMOBILEBILLAMOUNTLAST3MON</th>\n",
       "      <th>AVGMOBRECHARGEAMOUNTLAST3MON</th>\n",
       "      <th>INSTALLTIME</th>\n",
       "      <th>LASTPINGTIME</th>\n",
       "      <th>REQUESTTIME</th>\n",
       "      <th>DEALER_TYPE</th>\n",
       "      <th>PRODUCT_CODE</th>\n",
       "      <th>MODEL_CODE</th>\n",
       "      <th>SCHEME_TYPE</th>\n",
       "      <th>LTV</th>\n",
       "      <th>STATE</th>\n",
       "      <th>IMEI_NUMBER</th>\n",
       "      <th>MAKE_CODE</th>\n",
       "      <th>MODEL_DESC</th>\n",
       "      <th>DEALER_CITY</th>\n",
       "      <th>REGISTRATION_TYPE</th>\n",
       "      <th>SCHEME_CODE</th>\n",
       "      <th>CIBIL_HIT</th>\n",
       "      <th>SURROGATE</th>\n",
       "      <th>ACTUAL_LOAN_AMOUNT</th>\n",
       "      <th>CITY</th>\n",
       "      <th>LATESTBALANCE</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>QUALIFICATION</th>\n",
       "      <th>AGE</th>\n",
       "      <th>CIBIL_SCORE</th>\n",
       "      <th>EXISTING_CUSTOMER</th>\n",
       "      <th>SPL_INSURANCE_TYPE</th>\n",
       "      <th>ADDRESS_TYPE</th>\n",
       "      <th>RESIDENT_TYPE</th>\n",
       "      <th>ADDRESS1</th>\n",
       "      <th>ADDRESS2</th>\n",
       "      <th>ADDRESS3</th>\n",
       "      <th>VOTERID</th>\n",
       "      <th>PANNO</th>\n",
       "      <th>DRIVING_LICENSE</th>\n",
       "      <th>PASSPORT</th>\n",
       "      <th>AADHAR</th>\n",
       "      <th>RATION</th>\n",
       "      <th>ACTIVITY_CODE</th>\n",
       "      <th>TAT_HOUR</th>\n",
       "      <th>TAT_DAYS</th>\n",
       "      <th>TAT_DAYS_EXCLUDE_SUNDAY</th>\n",
       "      <th>PAYMENT_TYPE</th>\n",
       "      <th>IFSC_CODE</th>\n",
       "      <th>ELIGIBILITYGRID</th>\n",
       "      <th>ELIGIBILITYGRID_REMARK</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3078CD0009160</td>\n",
       "      <td>WB3078CD0009160</td>\n",
       "      <td>CD00910</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-04-23T12:10:07.466Z</td>\n",
       "      <td>2018-04-23T12:14:29.339Z</td>\n",
       "      <td>2018-04-23T20:12:08.774Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0003748</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>68.18</td>\n",
       "      <td>WB</td>\n",
       "      <td>None</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG TV UA43K5002AKXXL</td>\n",
       "      <td>DT1234</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0085</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>32611.0</td>\n",
       "      <td>Jalpaiguri</td>\n",
       "      <td>190758.16</td>\n",
       "      <td>MALE</td>\n",
       "      <td>SSC</td>\n",
       "      <td>32</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>DUMCHIPARA TEA GARDEN</td>\n",
       "      <td>JATHA LINE.   .</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>22.52</td>\n",
       "      <td>0.94</td>\n",
       "      <td>0.94</td>\n",
       "      <td>ADM</td>\n",
       "      <td>SBIN0002025</td>\n",
       "      <td>None</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3078CD0009162</td>\n",
       "      <td>WB3078CD0009162</td>\n",
       "      <td>CD00458</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-04-23T10:08:59.507Z</td>\n",
       "      <td>2018-04-23T15:37:31.502Z</td>\n",
       "      <td>2018-04-23T19:15:05.057Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0007287</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.66</td>\n",
       "      <td>WB</td>\n",
       "      <td>None</td>\n",
       "      <td>SONY</td>\n",
       "      <td>SONY TV KLV-32R302E IN5</td>\n",
       "      <td>DT1223</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0153</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>16332.0</td>\n",
       "      <td>Murshidabad</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>GRADUATE</td>\n",
       "      <td>23</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>JHAUBANA NAWDA</td>\n",
       "      <td>JHAUBANA NAWDA</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>144.43</td>\n",
       "      <td>6.02</td>\n",
       "      <td>4.02</td>\n",
       "      <td>ADM</td>\n",
       "      <td>SBIN0007104</td>\n",
       "      <td>None</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3078CD0009161</td>\n",
       "      <td>WB3078CD0009161</td>\n",
       "      <td>CD00442</td>\n",
       "      <td>CD</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>FRIDGE</td>\n",
       "      <td>CD0011224</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.65</td>\n",
       "      <td>WB</td>\n",
       "      <td>None</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG FRIDGE RR20N2Y2ZD3/NL</td>\n",
       "      <td>DT1222</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0034</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>11064.0</td>\n",
       "      <td>Bardhaman</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>12TH</td>\n",
       "      <td>43</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>MATHRUN MONGALKOTE</td>\n",
       "      <td>MATHRUN BARDDHAMAN</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>ACH</td>\n",
       "      <td>UBIN0540510</td>\n",
       "      <td>None</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3009CD0000002</td>\n",
       "      <td>KA3009CD0000002</td>\n",
       "      <td>CD01183</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-03-17T10:49:16.175Z</td>\n",
       "      <td>2018-03-17T14:48:12.875Z</td>\n",
       "      <td>2018-03-17T19:14:46.949Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0002970</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.67</td>\n",
       "      <td>KA</td>\n",
       "      <td>None</td>\n",
       "      <td>PANASONIC</td>\n",
       "      <td>PANASONIC TV TH-32E200DX</td>\n",
       "      <td>DT1128</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0038</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>10800.0</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>11575.00</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>UNDER GRADUATE</td>\n",
       "      <td>26</td>\n",
       "      <td>726.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>RENT</td>\n",
       "      <td>#242 2ND MAIN ROAD VIJAYANANDANAGAR</td>\n",
       "      <td>BANGALORE NORTHBANGALORE  NANDINILAYOUT</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>3.21</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.13</td>\n",
       "      <td>ACH</td>\n",
       "      <td>ICIC0002317</td>\n",
       "      <td>7</td>\n",
       "      <td>CD/TW -720+ norms met</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3009CD0000011</td>\n",
       "      <td>KA3009CD0000011</td>\n",
       "      <td>CD01216</td>\n",
       "      <td>CD</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0006206</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.66</td>\n",
       "      <td>KA</td>\n",
       "      <td>None</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG TV UA32M4200DRLXL</td>\n",
       "      <td>DT1128</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0034</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>17332.0</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>SSC</td>\n",
       "      <td>23</td>\n",
       "      <td>710.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>U84, 2 nd main road</td>\n",
       "      <td>swathantrapalya srirampura</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>ACH</td>\n",
       "      <td>SBIN0007080</td>\n",
       "      <td>4</td>\n",
       "      <td>CD/TW- 650-719 norms met</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          PROPNO           AGMTNO DEALER_CODE PORTFOLIO PREPAIDPOSTPAIDFLAG  \\\n",
       "0  3078CD0009160  WB3078CD0009160     CD00910        CD                   0   \n",
       "1  3078CD0009162  WB3078CD0009162     CD00458        CD                   0   \n",
       "2  3078CD0009161  WB3078CD0009161     CD00442        CD                None   \n",
       "3  3009CD0000002  KA3009CD0000002     CD01183        CD                   0   \n",
       "4  3009CD0000011  KA3009CD0000011     CD01216        CD                None   \n",
       "\n",
       "   AVGMOBILEBILLAMOUNTLAST3MON  AVGMOBRECHARGEAMOUNTLAST3MON  \\\n",
       "0                          0.0                           0.0   \n",
       "1                          0.0                           0.0   \n",
       "2                          NaN                           NaN   \n",
       "3                          0.0                           0.0   \n",
       "4                          NaN                           NaN   \n",
       "\n",
       "                INSTALLTIME              LASTPINGTIME  \\\n",
       "0  2018-04-23T12:10:07.466Z  2018-04-23T12:14:29.339Z   \n",
       "1  2018-04-23T10:08:59.507Z  2018-04-23T15:37:31.502Z   \n",
       "2                      None                      None   \n",
       "3  2018-03-17T10:49:16.175Z  2018-03-17T14:48:12.875Z   \n",
       "4                      None                      None   \n",
       "\n",
       "                REQUESTTIME DEALER_TYPE PRODUCT_CODE MODEL_CODE SCHEME_TYPE  \\\n",
       "0  2018-04-23T20:12:08.774Z      DEALER           TV  CD0003748       CDOEM   \n",
       "1  2018-04-23T19:15:05.057Z      DEALER           TV  CD0007287       CDOEM   \n",
       "2                      None      DEALER       FRIDGE  CD0011224       CDOEM   \n",
       "3  2018-03-17T19:14:46.949Z      DEALER           TV  CD0002970       CDOEM   \n",
       "4                      None      DEALER           TV  CD0006206       CDOEM   \n",
       "\n",
       "     LTV STATE IMEI_NUMBER  MAKE_CODE                     MODEL_DESC  \\\n",
       "0  68.18    WB        None    SAMSUNG      SAMSUNG TV UA43K5002AKXXL   \n",
       "1  66.66    WB        None       SONY        SONY TV KLV-32R302E IN5   \n",
       "2  66.65    WB        None    SAMSUNG  SAMSUNG FRIDGE RR20N2Y2ZD3/NL   \n",
       "3  66.67    KA        None  PANASONIC       PANASONIC TV TH-32E200DX   \n",
       "4  66.66    KA        None    SAMSUNG      SAMSUNG TV UA32M4200DRLXL   \n",
       "\n",
       "  DEALER_CITY REGISTRATION_TYPE SCHEME_CODE CIBIL_HIT SURROGATE  \\\n",
       "0      DT1234              None   CD_M_0085         Y      None   \n",
       "1      DT1223              None   CD_M_0153         Y      None   \n",
       "2      DT1222              None   CD_M_0034         Y      None   \n",
       "3      DT1128              None   CD_M_0038         Y      None   \n",
       "4      DT1128              None   CD_M_0034         Y      None   \n",
       "\n",
       "   ACTUAL_LOAN_AMOUNT         CITY  LATESTBALANCE  GENDER   QUALIFICATION  \\\n",
       "0             32611.0   Jalpaiguri      190758.16    MALE             SSC   \n",
       "1             16332.0  Murshidabad            NaN    MALE        GRADUATE   \n",
       "2             11064.0    Bardhaman            NaN    MALE            12TH   \n",
       "3             10800.0    Bangalore       11575.00  FEMALE  UNDER GRADUATE   \n",
       "4             17332.0    Bangalore            NaN    MALE             SSC   \n",
       "\n",
       "   AGE  CIBIL_SCORE EXISTING_CUSTOMER SPL_INSURANCE_TYPE ADDRESS_TYPE  \\\n",
       "0   32         -1.0              None               None           RS   \n",
       "1   23         -1.0              None               None           RS   \n",
       "2   43         -1.0              None               None           RS   \n",
       "3   26        726.0              None               None           RS   \n",
       "4   23        710.0              None               None           RS   \n",
       "\n",
       "  RESIDENT_TYPE                             ADDRESS1  \\\n",
       "0         OWNED                DUMCHIPARA TEA GARDEN   \n",
       "1         OWNED                       JHAUBANA NAWDA   \n",
       "2         OWNED                   MATHRUN MONGALKOTE   \n",
       "3          RENT  #242 2ND MAIN ROAD VIJAYANANDANAGAR   \n",
       "4         OWNED                  U84, 2 nd main road   \n",
       "\n",
       "                                  ADDRESS2 ADDRESS3 VOTERID PANNO  \\\n",
       "0                          JATHA LINE.   .     None       N     Y   \n",
       "1                           JHAUBANA NAWDA     None       N     N   \n",
       "2                       MATHRUN BARDDHAMAN     None       N     N   \n",
       "3  BANGALORE NORTHBANGALORE  NANDINILAYOUT     None       N     N   \n",
       "4               swathantrapalya srirampura     None       N     N   \n",
       "\n",
       "  DRIVING_LICENSE PASSPORT AADHAR RATION  ACTIVITY_CODE  TAT_HOUR  TAT_DAYS  \\\n",
       "0               N        N      Y      N  DISBURSAL_TAT     22.52      0.94   \n",
       "1               N        N      Y      N  DISBURSAL_TAT    144.43      6.02   \n",
       "2               N        N      Y      N  DISBURSAL_TAT      0.00      0.00   \n",
       "3               N        N      Y      N  DISBURSAL_TAT      3.21      0.13   \n",
       "4               N        N      Y      N  DISBURSAL_TAT      3.00      0.13   \n",
       "\n",
       "   TAT_DAYS_EXCLUDE_SUNDAY PAYMENT_TYPE    IFSC_CODE ELIGIBILITYGRID  \\\n",
       "0                     0.94          ADM  SBIN0002025            None   \n",
       "1                     4.02          ADM  SBIN0007104            None   \n",
       "2                     0.00          ACH  UBIN0540510            None   \n",
       "3                     0.13          ACH  ICIC0002317               7   \n",
       "4                     0.00          ACH  SBIN0007080               4   \n",
       "\n",
       "            ELIGIBILITYGRID_REMARK  \n",
       "0  No eligibility criteria matched  \n",
       "1  No eligibility criteria matched  \n",
       "2  No eligibility criteria matched  \n",
       "3            CD/TW -720+ norms met  \n",
       "4         CD/TW- 650-719 norms met  "
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PROPNO                          675986\n",
       "AGMTNO                          675986\n",
       "DEALER_CODE                     675986\n",
       "PORTFOLIO                       675986\n",
       "PREPAIDPOSTPAIDFLAG             309756\n",
       "AVGMOBILEBILLAMOUNTLAST3MON     309756\n",
       "AVGMOBRECHARGEAMOUNTLAST3MON    309756\n",
       "INSTALLTIME                     309765\n",
       "LASTPINGTIME                    309765\n",
       "REQUESTTIME                     309765\n",
       "DEALER_TYPE                     675986\n",
       "PRODUCT_CODE                    675986\n",
       "MODEL_CODE                      675986\n",
       "SCHEME_TYPE                     675986\n",
       "LTV                             675986\n",
       "STATE                           675986\n",
       "IMEI_NUMBER                     330620\n",
       "MAKE_CODE                       675986\n",
       "MODEL_DESC                      675986\n",
       "DEALER_CITY                     675986\n",
       "REGISTRATION_TYPE                    0\n",
       "SCHEME_CODE                     675986\n",
       "CIBIL_HIT                       675986\n",
       "SURROGATE                       303630\n",
       "ACTUAL_LOAN_AMOUNT              675986\n",
       "CITY                            675985\n",
       "LATESTBALANCE                   101477\n",
       "GENDER                          675950\n",
       "QUALIFICATION                   675986\n",
       "AGE                             675986\n",
       "CIBIL_SCORE                     672808\n",
       "EXISTING_CUSTOMER                    0\n",
       "SPL_INSURANCE_TYPE              388090\n",
       "ADDRESS_TYPE                    675986\n",
       "RESIDENT_TYPE                   671038\n",
       "ADDRESS1                        675986\n",
       "ADDRESS2                        595182\n",
       "ADDRESS3                            17\n",
       "VOTERID                         675986\n",
       "PANNO                           675986\n",
       "DRIVING_LICENSE                 675986\n",
       "PASSPORT                        675986\n",
       "AADHAR                          675986\n",
       "RATION                          675986\n",
       "ACTIVITY_CODE                   675986\n",
       "TAT_HOUR                        675986\n",
       "TAT_DAYS                        675986\n",
       "TAT_DAYS_EXCLUDE_SUNDAY         675986\n",
       "PAYMENT_TYPE                    675986\n",
       "IFSC_CODE                       675986\n",
       "ELIGIBILITYGRID                 364951\n",
       "ELIGIBILITYGRID_REMARK          674983\n",
       "dtype: int64"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.count()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "data['PROPNO'].values[0][4:6]"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "data['Business_portfolio'] = data.apply(lambda x: x['PROPNO'][4:6], axis=1)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "data = data.loc[data['Business_portfolio'] == 'CD']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_v2 = data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 675986 entries, 0 to 35985\n",
      "Data columns (total 52 columns):\n",
      "PROPNO                          675986 non-null object\n",
      "AGMTNO                          675986 non-null object\n",
      "DEALER_CODE                     675986 non-null object\n",
      "PORTFOLIO                       675986 non-null object\n",
      "PREPAIDPOSTPAIDFLAG             309756 non-null object\n",
      "AVGMOBILEBILLAMOUNTLAST3MON     309756 non-null float64\n",
      "AVGMOBRECHARGEAMOUNTLAST3MON    309756 non-null float64\n",
      "INSTALLTIME                     309765 non-null object\n",
      "LASTPINGTIME                    309765 non-null object\n",
      "REQUESTTIME                     309765 non-null object\n",
      "DEALER_TYPE                     675986 non-null object\n",
      "PRODUCT_CODE                    675986 non-null object\n",
      "MODEL_CODE                      675986 non-null object\n",
      "SCHEME_TYPE                     675986 non-null object\n",
      "LTV                             675986 non-null float64\n",
      "STATE                           675986 non-null object\n",
      "IMEI_NUMBER                     330620 non-null object\n",
      "MAKE_CODE                       675986 non-null object\n",
      "MODEL_DESC                      675986 non-null object\n",
      "DEALER_CITY                     675986 non-null object\n",
      "REGISTRATION_TYPE               0 non-null object\n",
      "SCHEME_CODE                     675986 non-null object\n",
      "CIBIL_HIT                       675986 non-null object\n",
      "SURROGATE                       303630 non-null object\n",
      "ACTUAL_LOAN_AMOUNT              675986 non-null float64\n",
      "CITY                            675985 non-null object\n",
      "LATESTBALANCE                   101477 non-null float64\n",
      "GENDER                          675950 non-null object\n",
      "QUALIFICATION                   675986 non-null object\n",
      "AGE                             675986 non-null int64\n",
      "CIBIL_SCORE                     672808 non-null float64\n",
      "EXISTING_CUSTOMER               0 non-null object\n",
      "SPL_INSURANCE_TYPE              388090 non-null object\n",
      "ADDRESS_TYPE                    675986 non-null object\n",
      "RESIDENT_TYPE                   671038 non-null object\n",
      "ADDRESS1                        675986 non-null object\n",
      "ADDRESS2                        595182 non-null object\n",
      "ADDRESS3                        17 non-null object\n",
      "VOTERID                         675986 non-null object\n",
      "PANNO                           675986 non-null object\n",
      "DRIVING_LICENSE                 675986 non-null object\n",
      "PASSPORT                        675986 non-null object\n",
      "AADHAR                          675986 non-null object\n",
      "RATION                          675986 non-null object\n",
      "ACTIVITY_CODE                   675986 non-null object\n",
      "TAT_HOUR                        675986 non-null float64\n",
      "TAT_DAYS                        675986 non-null float64\n",
      "TAT_DAYS_EXCLUDE_SUNDAY         675986 non-null float64\n",
      "PAYMENT_TYPE                    675986 non-null object\n",
      "IFSC_CODE                       675986 non-null object\n",
      "ELIGIBILITYGRID                 364951 non-null object\n",
      "ELIGIBILITYGRID_REMARK          674983 non-null object\n",
      "dtypes: float64(9), int64(1), object(42)\n",
      "memory usage: 273.3+ MB\n"
     ]
    }
   ],
   "source": [
    "data_v2.info()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "data_v2['LATESTBALANCE'] = data_v2.apply(lambda x: 0 if x['LATESTBALANCE'] == 'None' else x['LATESTBALANCE'], axis = 1)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "data_v2['LATESTBALANCE'] = data_v2.apply(lambda x: 0 if x['LATESTBALANCE'] < 0 else x['LATESTBALANCE'], axis = 1)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "LastBalance = data_v2[['PROPNO','LATESTBALANCE']].groupby(['PROPNO']).sum().reset_index()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "data_v2 = pd.merge(data_v2, LastBalance, on='PROPNO', how='left')"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "data_v2.rename(columns={'LATESTBALANCE_y':'LATESTBALANCE_NEW'}, inplace=True)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "data_v2 = data_v2.drop(['LATESTBALANCE_x'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_v2 = data_v2.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "673022"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_v2['PROPNO'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [],
   "source": [
    "mandate = pd.read_excel(\"D:\\CD\\Mandate_not_registered.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [],
   "source": [
    "mandate['IS_MANDATE_REGISTERED'] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "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>AGMTNO</th>\n",
       "      <th>IS_MANDATE_REGISTERED</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AP3019CD0000058</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AP3019CD0000258</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AP3019CD0000289</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AP3019CD0000353</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AP3019CD0000364</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            AGMTNO  IS_MANDATE_REGISTERED\n",
       "0  AP3019CD0000058                      0\n",
       "1  AP3019CD0000258                      0\n",
       "2  AP3019CD0000289                      0\n",
       "3  AP3019CD0000353                      0\n",
       "4  AP3019CD0000364                      0"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mandate.head()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "data['is_mandate_registered'] = data.apply(lambda x:0 if x.AGMTNO in mandate.AGMTNO.values else 1, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data = pd.merge(data_v2, mandate, on='AGMTNO', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "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>PROPNO</th>\n",
       "      <th>AGMTNO</th>\n",
       "      <th>DEALER_CODE</th>\n",
       "      <th>PORTFOLIO</th>\n",
       "      <th>PREPAIDPOSTPAIDFLAG</th>\n",
       "      <th>AVGMOBILEBILLAMOUNTLAST3MON</th>\n",
       "      <th>AVGMOBRECHARGEAMOUNTLAST3MON</th>\n",
       "      <th>INSTALLTIME</th>\n",
       "      <th>LASTPINGTIME</th>\n",
       "      <th>REQUESTTIME</th>\n",
       "      <th>DEALER_TYPE</th>\n",
       "      <th>PRODUCT_CODE</th>\n",
       "      <th>MODEL_CODE</th>\n",
       "      <th>SCHEME_TYPE</th>\n",
       "      <th>LTV</th>\n",
       "      <th>STATE</th>\n",
       "      <th>IMEI_NUMBER</th>\n",
       "      <th>MAKE_CODE</th>\n",
       "      <th>MODEL_DESC</th>\n",
       "      <th>DEALER_CITY</th>\n",
       "      <th>REGISTRATION_TYPE</th>\n",
       "      <th>SCHEME_CODE</th>\n",
       "      <th>CIBIL_HIT</th>\n",
       "      <th>SURROGATE</th>\n",
       "      <th>ACTUAL_LOAN_AMOUNT</th>\n",
       "      <th>CITY</th>\n",
       "      <th>LATESTBALANCE</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>QUALIFICATION</th>\n",
       "      <th>AGE</th>\n",
       "      <th>CIBIL_SCORE</th>\n",
       "      <th>EXISTING_CUSTOMER</th>\n",
       "      <th>SPL_INSURANCE_TYPE</th>\n",
       "      <th>ADDRESS_TYPE</th>\n",
       "      <th>RESIDENT_TYPE</th>\n",
       "      <th>ADDRESS1</th>\n",
       "      <th>ADDRESS2</th>\n",
       "      <th>ADDRESS3</th>\n",
       "      <th>VOTERID</th>\n",
       "      <th>PANNO</th>\n",
       "      <th>DRIVING_LICENSE</th>\n",
       "      <th>PASSPORT</th>\n",
       "      <th>AADHAR</th>\n",
       "      <th>RATION</th>\n",
       "      <th>ACTIVITY_CODE</th>\n",
       "      <th>TAT_HOUR</th>\n",
       "      <th>TAT_DAYS</th>\n",
       "      <th>TAT_DAYS_EXCLUDE_SUNDAY</th>\n",
       "      <th>PAYMENT_TYPE</th>\n",
       "      <th>IFSC_CODE</th>\n",
       "      <th>ELIGIBILITYGRID</th>\n",
       "      <th>ELIGIBILITYGRID_REMARK</th>\n",
       "      <th>IS_MANDATE_REGISTERED</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3078CD0009160</td>\n",
       "      <td>WB3078CD0009160</td>\n",
       "      <td>CD00910</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-04-23T12:10:07.466Z</td>\n",
       "      <td>2018-04-23T12:14:29.339Z</td>\n",
       "      <td>2018-04-23T20:12:08.774Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0003748</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>68.18</td>\n",
       "      <td>WB</td>\n",
       "      <td>None</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG TV UA43K5002AKXXL</td>\n",
       "      <td>DT1234</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0085</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>32611.0</td>\n",
       "      <td>Jalpaiguri</td>\n",
       "      <td>190758.16</td>\n",
       "      <td>MALE</td>\n",
       "      <td>SSC</td>\n",
       "      <td>32</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>DUMCHIPARA TEA GARDEN</td>\n",
       "      <td>JATHA LINE.   .</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>22.52</td>\n",
       "      <td>0.94</td>\n",
       "      <td>0.94</td>\n",
       "      <td>ADM</td>\n",
       "      <td>SBIN0002025</td>\n",
       "      <td>None</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3078CD0009162</td>\n",
       "      <td>WB3078CD0009162</td>\n",
       "      <td>CD00458</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-04-23T10:08:59.507Z</td>\n",
       "      <td>2018-04-23T15:37:31.502Z</td>\n",
       "      <td>2018-04-23T19:15:05.057Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0007287</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.66</td>\n",
       "      <td>WB</td>\n",
       "      <td>None</td>\n",
       "      <td>SONY</td>\n",
       "      <td>SONY TV KLV-32R302E IN5</td>\n",
       "      <td>DT1223</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0153</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>16332.0</td>\n",
       "      <td>Murshidabad</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>GRADUATE</td>\n",
       "      <td>23</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>JHAUBANA NAWDA</td>\n",
       "      <td>JHAUBANA NAWDA</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>144.43</td>\n",
       "      <td>6.02</td>\n",
       "      <td>4.02</td>\n",
       "      <td>ADM</td>\n",
       "      <td>SBIN0007104</td>\n",
       "      <td>None</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3078CD0009161</td>\n",
       "      <td>WB3078CD0009161</td>\n",
       "      <td>CD00442</td>\n",
       "      <td>CD</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>FRIDGE</td>\n",
       "      <td>CD0011224</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.65</td>\n",
       "      <td>WB</td>\n",
       "      <td>None</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG FRIDGE RR20N2Y2ZD3/NL</td>\n",
       "      <td>DT1222</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0034</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>11064.0</td>\n",
       "      <td>Bardhaman</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>12TH</td>\n",
       "      <td>43</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>MATHRUN MONGALKOTE</td>\n",
       "      <td>MATHRUN BARDDHAMAN</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>ACH</td>\n",
       "      <td>UBIN0540510</td>\n",
       "      <td>None</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3009CD0000002</td>\n",
       "      <td>KA3009CD0000002</td>\n",
       "      <td>CD01183</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-03-17T10:49:16.175Z</td>\n",
       "      <td>2018-03-17T14:48:12.875Z</td>\n",
       "      <td>2018-03-17T19:14:46.949Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0002970</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.67</td>\n",
       "      <td>KA</td>\n",
       "      <td>None</td>\n",
       "      <td>PANASONIC</td>\n",
       "      <td>PANASONIC TV TH-32E200DX</td>\n",
       "      <td>DT1128</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0038</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>10800.0</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>11575.00</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>UNDER GRADUATE</td>\n",
       "      <td>26</td>\n",
       "      <td>726.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>RENT</td>\n",
       "      <td>#242 2ND MAIN ROAD VIJAYANANDANAGAR</td>\n",
       "      <td>BANGALORE NORTHBANGALORE  NANDINILAYOUT</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>3.21</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.13</td>\n",
       "      <td>ACH</td>\n",
       "      <td>ICIC0002317</td>\n",
       "      <td>7</td>\n",
       "      <td>CD/TW -720+ norms met</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3009CD0000011</td>\n",
       "      <td>KA3009CD0000011</td>\n",
       "      <td>CD01216</td>\n",
       "      <td>CD</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0006206</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.66</td>\n",
       "      <td>KA</td>\n",
       "      <td>None</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG TV UA32M4200DRLXL</td>\n",
       "      <td>DT1128</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0034</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>17332.0</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>SSC</td>\n",
       "      <td>23</td>\n",
       "      <td>710.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>U84, 2 nd main road</td>\n",
       "      <td>swathantrapalya srirampura</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>ACH</td>\n",
       "      <td>SBIN0007080</td>\n",
       "      <td>4</td>\n",
       "      <td>CD/TW- 650-719 norms met</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          PROPNO           AGMTNO DEALER_CODE PORTFOLIO PREPAIDPOSTPAIDFLAG  \\\n",
       "0  3078CD0009160  WB3078CD0009160     CD00910        CD                   0   \n",
       "1  3078CD0009162  WB3078CD0009162     CD00458        CD                   0   \n",
       "2  3078CD0009161  WB3078CD0009161     CD00442        CD                None   \n",
       "3  3009CD0000002  KA3009CD0000002     CD01183        CD                   0   \n",
       "4  3009CD0000011  KA3009CD0000011     CD01216        CD                None   \n",
       "\n",
       "   AVGMOBILEBILLAMOUNTLAST3MON  AVGMOBRECHARGEAMOUNTLAST3MON  \\\n",
       "0                          0.0                           0.0   \n",
       "1                          0.0                           0.0   \n",
       "2                          NaN                           NaN   \n",
       "3                          0.0                           0.0   \n",
       "4                          NaN                           NaN   \n",
       "\n",
       "                INSTALLTIME              LASTPINGTIME  \\\n",
       "0  2018-04-23T12:10:07.466Z  2018-04-23T12:14:29.339Z   \n",
       "1  2018-04-23T10:08:59.507Z  2018-04-23T15:37:31.502Z   \n",
       "2                      None                      None   \n",
       "3  2018-03-17T10:49:16.175Z  2018-03-17T14:48:12.875Z   \n",
       "4                      None                      None   \n",
       "\n",
       "                REQUESTTIME DEALER_TYPE PRODUCT_CODE MODEL_CODE SCHEME_TYPE  \\\n",
       "0  2018-04-23T20:12:08.774Z      DEALER           TV  CD0003748       CDOEM   \n",
       "1  2018-04-23T19:15:05.057Z      DEALER           TV  CD0007287       CDOEM   \n",
       "2                      None      DEALER       FRIDGE  CD0011224       CDOEM   \n",
       "3  2018-03-17T19:14:46.949Z      DEALER           TV  CD0002970       CDOEM   \n",
       "4                      None      DEALER           TV  CD0006206       CDOEM   \n",
       "\n",
       "     LTV STATE IMEI_NUMBER  MAKE_CODE                     MODEL_DESC  \\\n",
       "0  68.18    WB        None    SAMSUNG      SAMSUNG TV UA43K5002AKXXL   \n",
       "1  66.66    WB        None       SONY        SONY TV KLV-32R302E IN5   \n",
       "2  66.65    WB        None    SAMSUNG  SAMSUNG FRIDGE RR20N2Y2ZD3/NL   \n",
       "3  66.67    KA        None  PANASONIC       PANASONIC TV TH-32E200DX   \n",
       "4  66.66    KA        None    SAMSUNG      SAMSUNG TV UA32M4200DRLXL   \n",
       "\n",
       "  DEALER_CITY REGISTRATION_TYPE SCHEME_CODE CIBIL_HIT SURROGATE  \\\n",
       "0      DT1234              None   CD_M_0085         Y      None   \n",
       "1      DT1223              None   CD_M_0153         Y      None   \n",
       "2      DT1222              None   CD_M_0034         Y      None   \n",
       "3      DT1128              None   CD_M_0038         Y      None   \n",
       "4      DT1128              None   CD_M_0034         Y      None   \n",
       "\n",
       "   ACTUAL_LOAN_AMOUNT         CITY  LATESTBALANCE  GENDER   QUALIFICATION  \\\n",
       "0             32611.0   Jalpaiguri      190758.16    MALE             SSC   \n",
       "1             16332.0  Murshidabad            NaN    MALE        GRADUATE   \n",
       "2             11064.0    Bardhaman            NaN    MALE            12TH   \n",
       "3             10800.0    Bangalore       11575.00  FEMALE  UNDER GRADUATE   \n",
       "4             17332.0    Bangalore            NaN    MALE             SSC   \n",
       "\n",
       "   AGE  CIBIL_SCORE EXISTING_CUSTOMER SPL_INSURANCE_TYPE ADDRESS_TYPE  \\\n",
       "0   32         -1.0              None               None           RS   \n",
       "1   23         -1.0              None               None           RS   \n",
       "2   43         -1.0              None               None           RS   \n",
       "3   26        726.0              None               None           RS   \n",
       "4   23        710.0              None               None           RS   \n",
       "\n",
       "  RESIDENT_TYPE                             ADDRESS1  \\\n",
       "0         OWNED                DUMCHIPARA TEA GARDEN   \n",
       "1         OWNED                       JHAUBANA NAWDA   \n",
       "2         OWNED                   MATHRUN MONGALKOTE   \n",
       "3          RENT  #242 2ND MAIN ROAD VIJAYANANDANAGAR   \n",
       "4         OWNED                  U84, 2 nd main road   \n",
       "\n",
       "                                  ADDRESS2 ADDRESS3 VOTERID PANNO  \\\n",
       "0                          JATHA LINE.   .     None       N     Y   \n",
       "1                           JHAUBANA NAWDA     None       N     N   \n",
       "2                       MATHRUN BARDDHAMAN     None       N     N   \n",
       "3  BANGALORE NORTHBANGALORE  NANDINILAYOUT     None       N     N   \n",
       "4               swathantrapalya srirampura     None       N     N   \n",
       "\n",
       "  DRIVING_LICENSE PASSPORT AADHAR RATION  ACTIVITY_CODE  TAT_HOUR  TAT_DAYS  \\\n",
       "0               N        N      Y      N  DISBURSAL_TAT     22.52      0.94   \n",
       "1               N        N      Y      N  DISBURSAL_TAT    144.43      6.02   \n",
       "2               N        N      Y      N  DISBURSAL_TAT      0.00      0.00   \n",
       "3               N        N      Y      N  DISBURSAL_TAT      3.21      0.13   \n",
       "4               N        N      Y      N  DISBURSAL_TAT      3.00      0.13   \n",
       "\n",
       "   TAT_DAYS_EXCLUDE_SUNDAY PAYMENT_TYPE    IFSC_CODE ELIGIBILITYGRID  \\\n",
       "0                     0.94          ADM  SBIN0002025            None   \n",
       "1                     4.02          ADM  SBIN0007104            None   \n",
       "2                     0.00          ACH  UBIN0540510            None   \n",
       "3                     0.13          ACH  ICIC0002317               7   \n",
       "4                     0.00          ACH  SBIN0007080               4   \n",
       "\n",
       "            ELIGIBILITYGRID_REMARK  IS_MANDATE_REGISTERED  \n",
       "0  No eligibility criteria matched                    NaN  \n",
       "1  No eligibility criteria matched                    NaN  \n",
       "2  No eligibility criteria matched                    NaN  \n",
       "3            CD/TW -720+ norms met                    NaN  \n",
       "4         CD/TW- 650-719 norms met                    NaN  "
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "673022"
      ]
     },
     "execution_count": 201,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data['PROPNO'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data['IS_MANDATE_REGISTERED'] = final_data['IS_MANDATE_REGISTERED'].fillna(value=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "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>sum</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IS_MANDATE_REGISTERED</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>59345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>613677.0</td>\n",
       "      <td>613677</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            sum   count\n",
       "IS_MANDATE_REGISTERED                  \n",
       "0.0                         0.0   59345\n",
       "1.0                    613677.0  613677"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data[['IS_MANDATE_REGISTERED']].groupby(['IS_MANDATE_REGISTERED'])['IS_MANDATE_REGISTERED'].agg(['sum','count'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [],
   "source": [
    "dealer_cat = pd.read_excel(\"D:\\CD\\CD_Dealer_code.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [],
   "source": [
    "dealer_cat.columns = ['DEALER_CODE', 'DELAER_NAME', 'DELAER_CATEGORY']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "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>DEALER_CODE</th>\n",
       "      <th>DELAER_NAME</th>\n",
       "      <th>DELAER_CATEGORY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CD10138</td>\n",
       "      <td>AKSHAYA COMMUNICATIONS THE MOBILE STORE</td>\n",
       "      <td>DS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CD08298</td>\n",
       "      <td>AMBIKA CELL POINT</td>\n",
       "      <td>DS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CD14314</td>\n",
       "      <td>APEX ELECTRONIC COMMUNICATION</td>\n",
       "      <td>DS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CD08352</td>\n",
       "      <td>APHONE ZONE</td>\n",
       "      <td>DS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CD14585</td>\n",
       "      <td>AYYAPPA AGENCIES</td>\n",
       "      <td>DS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  DEALER_CODE                              DELAER_NAME DELAER_CATEGORY\n",
       "0     CD10138  AKSHAYA COMMUNICATIONS THE MOBILE STORE              DS\n",
       "1     CD08298                        AMBIKA CELL POINT              DS\n",
       "2     CD14314            APEX ELECTRONIC COMMUNICATION              DS\n",
       "3     CD08352                              APHONE ZONE              DS\n",
       "4     CD14585                         AYYAPPA AGENCIES              DS"
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dealer_cat.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2 = pd.merge(final_data, dealer_cat, on='DEALER_CODE', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "673177"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2['PROPNO'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2['IS_MOBILE'] = final_data_v2.apply(lambda x: 1 if x['PRODUCT_CODE'] == 'MOBILE' else 0, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "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>PROPNO</th>\n",
       "      <th>AGMTNO</th>\n",
       "      <th>DEALER_CODE</th>\n",
       "      <th>PORTFOLIO</th>\n",
       "      <th>PREPAIDPOSTPAIDFLAG</th>\n",
       "      <th>AVGMOBILEBILLAMOUNTLAST3MON</th>\n",
       "      <th>AVGMOBRECHARGEAMOUNTLAST3MON</th>\n",
       "      <th>INSTALLTIME</th>\n",
       "      <th>LASTPINGTIME</th>\n",
       "      <th>REQUESTTIME</th>\n",
       "      <th>DEALER_TYPE</th>\n",
       "      <th>PRODUCT_CODE</th>\n",
       "      <th>MODEL_CODE</th>\n",
       "      <th>SCHEME_TYPE</th>\n",
       "      <th>LTV</th>\n",
       "      <th>STATE</th>\n",
       "      <th>IMEI_NUMBER</th>\n",
       "      <th>MAKE_CODE</th>\n",
       "      <th>MODEL_DESC</th>\n",
       "      <th>DEALER_CITY</th>\n",
       "      <th>REGISTRATION_TYPE</th>\n",
       "      <th>SCHEME_CODE</th>\n",
       "      <th>CIBIL_HIT</th>\n",
       "      <th>SURROGATE</th>\n",
       "      <th>ACTUAL_LOAN_AMOUNT</th>\n",
       "      <th>CITY</th>\n",
       "      <th>LATESTBALANCE</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>QUALIFICATION</th>\n",
       "      <th>AGE</th>\n",
       "      <th>CIBIL_SCORE</th>\n",
       "      <th>EXISTING_CUSTOMER</th>\n",
       "      <th>SPL_INSURANCE_TYPE</th>\n",
       "      <th>ADDRESS_TYPE</th>\n",
       "      <th>RESIDENT_TYPE</th>\n",
       "      <th>ADDRESS1</th>\n",
       "      <th>ADDRESS2</th>\n",
       "      <th>ADDRESS3</th>\n",
       "      <th>VOTERID</th>\n",
       "      <th>PANNO</th>\n",
       "      <th>DRIVING_LICENSE</th>\n",
       "      <th>PASSPORT</th>\n",
       "      <th>AADHAR</th>\n",
       "      <th>RATION</th>\n",
       "      <th>ACTIVITY_CODE</th>\n",
       "      <th>TAT_HOUR</th>\n",
       "      <th>TAT_DAYS</th>\n",
       "      <th>TAT_DAYS_EXCLUDE_SUNDAY</th>\n",
       "      <th>PAYMENT_TYPE</th>\n",
       "      <th>IFSC_CODE</th>\n",
       "      <th>ELIGIBILITYGRID</th>\n",
       "      <th>ELIGIBILITYGRID_REMARK</th>\n",
       "      <th>IS_MANDATE_REGISTERED</th>\n",
       "      <th>DELAER_NAME</th>\n",
       "      <th>DELAER_CATEGORY</th>\n",
       "      <th>IS_MOBILE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3078CD0009160</td>\n",
       "      <td>WB3078CD0009160</td>\n",
       "      <td>CD00910</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-04-23T12:10:07.466Z</td>\n",
       "      <td>2018-04-23T12:14:29.339Z</td>\n",
       "      <td>2018-04-23T20:12:08.774Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0003748</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>68.18</td>\n",
       "      <td>WB</td>\n",
       "      <td>None</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG TV UA43K5002AKXXL</td>\n",
       "      <td>DT1234</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0085</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>32611.0</td>\n",
       "      <td>Jalpaiguri</td>\n",
       "      <td>190758.16</td>\n",
       "      <td>MALE</td>\n",
       "      <td>SSC</td>\n",
       "      <td>32</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>DUMCHIPARA TEA GARDEN</td>\n",
       "      <td>JATHA LINE.   .</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>22.52</td>\n",
       "      <td>0.94</td>\n",
       "      <td>0.94</td>\n",
       "      <td>ADM</td>\n",
       "      <td>SBIN0002025</td>\n",
       "      <td>None</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "      <td>1.0</td>\n",
       "      <td>GOYAL RADIOS</td>\n",
       "      <td>DD</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3078CD0009162</td>\n",
       "      <td>WB3078CD0009162</td>\n",
       "      <td>CD00458</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-04-23T10:08:59.507Z</td>\n",
       "      <td>2018-04-23T15:37:31.502Z</td>\n",
       "      <td>2018-04-23T19:15:05.057Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0007287</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.66</td>\n",
       "      <td>WB</td>\n",
       "      <td>None</td>\n",
       "      <td>SONY</td>\n",
       "      <td>SONY TV KLV-32R302E IN5</td>\n",
       "      <td>DT1223</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0153</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>16332.0</td>\n",
       "      <td>Murshidabad</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>GRADUATE</td>\n",
       "      <td>23</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>JHAUBANA NAWDA</td>\n",
       "      <td>JHAUBANA NAWDA</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>144.43</td>\n",
       "      <td>6.02</td>\n",
       "      <td>4.02</td>\n",
       "      <td>ADM</td>\n",
       "      <td>SBIN0007104</td>\n",
       "      <td>None</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "      <td>1.0</td>\n",
       "      <td>SUR SANGAM</td>\n",
       "      <td>DD</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3078CD0009161</td>\n",
       "      <td>WB3078CD0009161</td>\n",
       "      <td>CD00442</td>\n",
       "      <td>CD</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>FRIDGE</td>\n",
       "      <td>CD0011224</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.65</td>\n",
       "      <td>WB</td>\n",
       "      <td>None</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG FRIDGE RR20N2Y2ZD3/NL</td>\n",
       "      <td>DT1222</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0034</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>11064.0</td>\n",
       "      <td>Bardhaman</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>12TH</td>\n",
       "      <td>43</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>MATHRUN MONGALKOTE</td>\n",
       "      <td>MATHRUN BARDDHAMAN</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>ACH</td>\n",
       "      <td>UBIN0540510</td>\n",
       "      <td>None</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "      <td>1.0</td>\n",
       "      <td>ROY ELECTRONICS  AND SERVICE CENTRE</td>\n",
       "      <td>DD</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3009CD0000002</td>\n",
       "      <td>KA3009CD0000002</td>\n",
       "      <td>CD01183</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-03-17T10:49:16.175Z</td>\n",
       "      <td>2018-03-17T14:48:12.875Z</td>\n",
       "      <td>2018-03-17T19:14:46.949Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0002970</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.67</td>\n",
       "      <td>KA</td>\n",
       "      <td>None</td>\n",
       "      <td>PANASONIC</td>\n",
       "      <td>PANASONIC TV TH-32E200DX</td>\n",
       "      <td>DT1128</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0038</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>10800.0</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>11575.00</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>UNDER GRADUATE</td>\n",
       "      <td>26</td>\n",
       "      <td>726.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>RENT</td>\n",
       "      <td>#242 2ND MAIN ROAD VIJAYANANDANAGAR</td>\n",
       "      <td>BANGALORE NORTHBANGALORE  NANDINILAYOUT</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>3.21</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.13</td>\n",
       "      <td>ACH</td>\n",
       "      <td>ICIC0002317</td>\n",
       "      <td>7</td>\n",
       "      <td>CD/TW -720+ norms met</td>\n",
       "      <td>1.0</td>\n",
       "      <td>E SHOPPE</td>\n",
       "      <td>DS</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3009CD0000011</td>\n",
       "      <td>KA3009CD0000011</td>\n",
       "      <td>CD01216</td>\n",
       "      <td>CD</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0006206</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.66</td>\n",
       "      <td>KA</td>\n",
       "      <td>None</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG TV UA32M4200DRLXL</td>\n",
       "      <td>DT1128</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0034</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>17332.0</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>SSC</td>\n",
       "      <td>23</td>\n",
       "      <td>710.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>U84, 2 nd main road</td>\n",
       "      <td>swathantrapalya srirampura</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>ACH</td>\n",
       "      <td>SBIN0007080</td>\n",
       "      <td>4</td>\n",
       "      <td>CD/TW- 650-719 norms met</td>\n",
       "      <td>1.0</td>\n",
       "      <td>VENUS WORLD</td>\n",
       "      <td>DS</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          PROPNO           AGMTNO DEALER_CODE PORTFOLIO PREPAIDPOSTPAIDFLAG  \\\n",
       "0  3078CD0009160  WB3078CD0009160     CD00910        CD                   0   \n",
       "1  3078CD0009162  WB3078CD0009162     CD00458        CD                   0   \n",
       "2  3078CD0009161  WB3078CD0009161     CD00442        CD                None   \n",
       "3  3009CD0000002  KA3009CD0000002     CD01183        CD                   0   \n",
       "4  3009CD0000011  KA3009CD0000011     CD01216        CD                None   \n",
       "\n",
       "   AVGMOBILEBILLAMOUNTLAST3MON  AVGMOBRECHARGEAMOUNTLAST3MON  \\\n",
       "0                          0.0                           0.0   \n",
       "1                          0.0                           0.0   \n",
       "2                          NaN                           NaN   \n",
       "3                          0.0                           0.0   \n",
       "4                          NaN                           NaN   \n",
       "\n",
       "                INSTALLTIME              LASTPINGTIME  \\\n",
       "0  2018-04-23T12:10:07.466Z  2018-04-23T12:14:29.339Z   \n",
       "1  2018-04-23T10:08:59.507Z  2018-04-23T15:37:31.502Z   \n",
       "2                      None                      None   \n",
       "3  2018-03-17T10:49:16.175Z  2018-03-17T14:48:12.875Z   \n",
       "4                      None                      None   \n",
       "\n",
       "                REQUESTTIME DEALER_TYPE PRODUCT_CODE MODEL_CODE SCHEME_TYPE  \\\n",
       "0  2018-04-23T20:12:08.774Z      DEALER           TV  CD0003748       CDOEM   \n",
       "1  2018-04-23T19:15:05.057Z      DEALER           TV  CD0007287       CDOEM   \n",
       "2                      None      DEALER       FRIDGE  CD0011224       CDOEM   \n",
       "3  2018-03-17T19:14:46.949Z      DEALER           TV  CD0002970       CDOEM   \n",
       "4                      None      DEALER           TV  CD0006206       CDOEM   \n",
       "\n",
       "     LTV STATE IMEI_NUMBER  MAKE_CODE                     MODEL_DESC  \\\n",
       "0  68.18    WB        None    SAMSUNG      SAMSUNG TV UA43K5002AKXXL   \n",
       "1  66.66    WB        None       SONY        SONY TV KLV-32R302E IN5   \n",
       "2  66.65    WB        None    SAMSUNG  SAMSUNG FRIDGE RR20N2Y2ZD3/NL   \n",
       "3  66.67    KA        None  PANASONIC       PANASONIC TV TH-32E200DX   \n",
       "4  66.66    KA        None    SAMSUNG      SAMSUNG TV UA32M4200DRLXL   \n",
       "\n",
       "  DEALER_CITY REGISTRATION_TYPE SCHEME_CODE CIBIL_HIT SURROGATE  \\\n",
       "0      DT1234              None   CD_M_0085         Y      None   \n",
       "1      DT1223              None   CD_M_0153         Y      None   \n",
       "2      DT1222              None   CD_M_0034         Y      None   \n",
       "3      DT1128              None   CD_M_0038         Y      None   \n",
       "4      DT1128              None   CD_M_0034         Y      None   \n",
       "\n",
       "   ACTUAL_LOAN_AMOUNT         CITY  LATESTBALANCE  GENDER   QUALIFICATION  \\\n",
       "0             32611.0   Jalpaiguri      190758.16    MALE             SSC   \n",
       "1             16332.0  Murshidabad            NaN    MALE        GRADUATE   \n",
       "2             11064.0    Bardhaman            NaN    MALE            12TH   \n",
       "3             10800.0    Bangalore       11575.00  FEMALE  UNDER GRADUATE   \n",
       "4             17332.0    Bangalore            NaN    MALE             SSC   \n",
       "\n",
       "   AGE  CIBIL_SCORE EXISTING_CUSTOMER SPL_INSURANCE_TYPE ADDRESS_TYPE  \\\n",
       "0   32         -1.0              None               None           RS   \n",
       "1   23         -1.0              None               None           RS   \n",
       "2   43         -1.0              None               None           RS   \n",
       "3   26        726.0              None               None           RS   \n",
       "4   23        710.0              None               None           RS   \n",
       "\n",
       "  RESIDENT_TYPE                             ADDRESS1  \\\n",
       "0         OWNED                DUMCHIPARA TEA GARDEN   \n",
       "1         OWNED                       JHAUBANA NAWDA   \n",
       "2         OWNED                   MATHRUN MONGALKOTE   \n",
       "3          RENT  #242 2ND MAIN ROAD VIJAYANANDANAGAR   \n",
       "4         OWNED                  U84, 2 nd main road   \n",
       "\n",
       "                                  ADDRESS2 ADDRESS3 VOTERID PANNO  \\\n",
       "0                          JATHA LINE.   .     None       N     Y   \n",
       "1                           JHAUBANA NAWDA     None       N     N   \n",
       "2                       MATHRUN BARDDHAMAN     None       N     N   \n",
       "3  BANGALORE NORTHBANGALORE  NANDINILAYOUT     None       N     N   \n",
       "4               swathantrapalya srirampura     None       N     N   \n",
       "\n",
       "  DRIVING_LICENSE PASSPORT AADHAR RATION  ACTIVITY_CODE  TAT_HOUR  TAT_DAYS  \\\n",
       "0               N        N      Y      N  DISBURSAL_TAT     22.52      0.94   \n",
       "1               N        N      Y      N  DISBURSAL_TAT    144.43      6.02   \n",
       "2               N        N      Y      N  DISBURSAL_TAT      0.00      0.00   \n",
       "3               N        N      Y      N  DISBURSAL_TAT      3.21      0.13   \n",
       "4               N        N      Y      N  DISBURSAL_TAT      3.00      0.13   \n",
       "\n",
       "   TAT_DAYS_EXCLUDE_SUNDAY PAYMENT_TYPE    IFSC_CODE ELIGIBILITYGRID  \\\n",
       "0                     0.94          ADM  SBIN0002025            None   \n",
       "1                     4.02          ADM  SBIN0007104            None   \n",
       "2                     0.00          ACH  UBIN0540510            None   \n",
       "3                     0.13          ACH  ICIC0002317               7   \n",
       "4                     0.00          ACH  SBIN0007080               4   \n",
       "\n",
       "            ELIGIBILITYGRID_REMARK  IS_MANDATE_REGISTERED  \\\n",
       "0  No eligibility criteria matched                    1.0   \n",
       "1  No eligibility criteria matched                    1.0   \n",
       "2  No eligibility criteria matched                    1.0   \n",
       "3            CD/TW -720+ norms met                    1.0   \n",
       "4         CD/TW- 650-719 norms met                    1.0   \n",
       "\n",
       "                           DELAER_NAME DELAER_CATEGORY  IS_MOBILE  \n",
       "0                         GOYAL RADIOS              DD          0  \n",
       "1                           SUR SANGAM              DD          0  \n",
       "2  ROY ELECTRONICS  AND SERVICE CENTRE              DD          0  \n",
       "3                             E SHOPPE              DS          0  \n",
       "4                          VENUS WORLD              DS          0  "
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [],
   "source": [
    "import dateutil.parser\n",
    "startdate = dateutil.parser.parse(final_data_v2['INSTALLTIME'][1])\n",
    "enddate = dateutil.parser.parse(final_data_v2['LASTPINGTIME'][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [],
   "source": [
    "diff = enddate - startdate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.475554166666666"
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff.total_seconds() / 3600"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "def how_long(row):\n",
    "    try:\n",
    "        startdate = dateutil.parser.parse(row['INSTALLTIME'])\n",
    "        enddate = dateutil.parser.parse(row['LASTPINGTIME'])\n",
    "        diff = enddate - startdate\n",
    "        return np.around(diff.total_seconds() / 3600)\n",
    "    except:\n",
    "        return 0        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2['Mobile_active_hours'] = final_data_v2.apply(how_long, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "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>PROPNO</th>\n",
       "      <th>AGMTNO</th>\n",
       "      <th>DEALER_CODE</th>\n",
       "      <th>PORTFOLIO</th>\n",
       "      <th>PREPAIDPOSTPAIDFLAG</th>\n",
       "      <th>AVGMOBILEBILLAMOUNTLAST3MON</th>\n",
       "      <th>AVGMOBRECHARGEAMOUNTLAST3MON</th>\n",
       "      <th>INSTALLTIME</th>\n",
       "      <th>LASTPINGTIME</th>\n",
       "      <th>REQUESTTIME</th>\n",
       "      <th>DEALER_TYPE</th>\n",
       "      <th>PRODUCT_CODE</th>\n",
       "      <th>MODEL_CODE</th>\n",
       "      <th>SCHEME_TYPE</th>\n",
       "      <th>LTV</th>\n",
       "      <th>STATE</th>\n",
       "      <th>IMEI_NUMBER</th>\n",
       "      <th>MAKE_CODE</th>\n",
       "      <th>MODEL_DESC</th>\n",
       "      <th>DEALER_CITY</th>\n",
       "      <th>REGISTRATION_TYPE</th>\n",
       "      <th>SCHEME_CODE</th>\n",
       "      <th>CIBIL_HIT</th>\n",
       "      <th>SURROGATE</th>\n",
       "      <th>ACTUAL_LOAN_AMOUNT</th>\n",
       "      <th>CITY</th>\n",
       "      <th>LATESTBALANCE</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>QUALIFICATION</th>\n",
       "      <th>AGE</th>\n",
       "      <th>CIBIL_SCORE</th>\n",
       "      <th>EXISTING_CUSTOMER</th>\n",
       "      <th>SPL_INSURANCE_TYPE</th>\n",
       "      <th>ADDRESS_TYPE</th>\n",
       "      <th>RESIDENT_TYPE</th>\n",
       "      <th>ADDRESS1</th>\n",
       "      <th>ADDRESS2</th>\n",
       "      <th>ADDRESS3</th>\n",
       "      <th>VOTERID</th>\n",
       "      <th>PANNO</th>\n",
       "      <th>DRIVING_LICENSE</th>\n",
       "      <th>PASSPORT</th>\n",
       "      <th>AADHAR</th>\n",
       "      <th>RATION</th>\n",
       "      <th>ACTIVITY_CODE</th>\n",
       "      <th>TAT_HOUR</th>\n",
       "      <th>TAT_DAYS</th>\n",
       "      <th>TAT_DAYS_EXCLUDE_SUNDAY</th>\n",
       "      <th>PAYMENT_TYPE</th>\n",
       "      <th>IFSC_CODE</th>\n",
       "      <th>ELIGIBILITYGRID</th>\n",
       "      <th>ELIGIBILITYGRID_REMARK</th>\n",
       "      <th>IS_MANDATE_REGISTERED</th>\n",
       "      <th>DELAER_NAME</th>\n",
       "      <th>DELAER_CATEGORY</th>\n",
       "      <th>IS_MOBILE</th>\n",
       "      <th>Mobile_active_hours</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3078CD0009160</td>\n",
       "      <td>WB3078CD0009160</td>\n",
       "      <td>CD00910</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-04-23T12:10:07.466Z</td>\n",
       "      <td>2018-04-23T12:14:29.339Z</td>\n",
       "      <td>2018-04-23T20:12:08.774Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0003748</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>68.18</td>\n",
       "      <td>WB</td>\n",
       "      <td>None</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG TV UA43K5002AKXXL</td>\n",
       "      <td>DT1234</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0085</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>32611.0</td>\n",
       "      <td>Jalpaiguri</td>\n",
       "      <td>190758.16</td>\n",
       "      <td>MALE</td>\n",
       "      <td>SSC</td>\n",
       "      <td>32</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>DUMCHIPARA TEA GARDEN</td>\n",
       "      <td>JATHA LINE.   .</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>22.52</td>\n",
       "      <td>0.94</td>\n",
       "      <td>0.94</td>\n",
       "      <td>ADM</td>\n",
       "      <td>SBIN0002025</td>\n",
       "      <td>None</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "      <td>1.0</td>\n",
       "      <td>GOYAL RADIOS</td>\n",
       "      <td>DD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3078CD0009162</td>\n",
       "      <td>WB3078CD0009162</td>\n",
       "      <td>CD00458</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-04-23T10:08:59.507Z</td>\n",
       "      <td>2018-04-23T15:37:31.502Z</td>\n",
       "      <td>2018-04-23T19:15:05.057Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0007287</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.66</td>\n",
       "      <td>WB</td>\n",
       "      <td>None</td>\n",
       "      <td>SONY</td>\n",
       "      <td>SONY TV KLV-32R302E IN5</td>\n",
       "      <td>DT1223</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0153</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>16332.0</td>\n",
       "      <td>Murshidabad</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>GRADUATE</td>\n",
       "      <td>23</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>JHAUBANA NAWDA</td>\n",
       "      <td>JHAUBANA NAWDA</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>144.43</td>\n",
       "      <td>6.02</td>\n",
       "      <td>4.02</td>\n",
       "      <td>ADM</td>\n",
       "      <td>SBIN0007104</td>\n",
       "      <td>None</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "      <td>1.0</td>\n",
       "      <td>SUR SANGAM</td>\n",
       "      <td>DD</td>\n",
       "      <td>0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3078CD0009161</td>\n",
       "      <td>WB3078CD0009161</td>\n",
       "      <td>CD00442</td>\n",
       "      <td>CD</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>FRIDGE</td>\n",
       "      <td>CD0011224</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.65</td>\n",
       "      <td>WB</td>\n",
       "      <td>None</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG FRIDGE RR20N2Y2ZD3/NL</td>\n",
       "      <td>DT1222</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0034</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>11064.0</td>\n",
       "      <td>Bardhaman</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>12TH</td>\n",
       "      <td>43</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>MATHRUN MONGALKOTE</td>\n",
       "      <td>MATHRUN BARDDHAMAN</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>ACH</td>\n",
       "      <td>UBIN0540510</td>\n",
       "      <td>None</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "      <td>1.0</td>\n",
       "      <td>ROY ELECTRONICS  AND SERVICE CENTRE</td>\n",
       "      <td>DD</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3009CD0000002</td>\n",
       "      <td>KA3009CD0000002</td>\n",
       "      <td>CD01183</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-03-17T10:49:16.175Z</td>\n",
       "      <td>2018-03-17T14:48:12.875Z</td>\n",
       "      <td>2018-03-17T19:14:46.949Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0002970</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.67</td>\n",
       "      <td>KA</td>\n",
       "      <td>None</td>\n",
       "      <td>PANASONIC</td>\n",
       "      <td>PANASONIC TV TH-32E200DX</td>\n",
       "      <td>DT1128</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0038</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>10800.0</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>11575.00</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>UNDER GRADUATE</td>\n",
       "      <td>26</td>\n",
       "      <td>726.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>RENT</td>\n",
       "      <td>#242 2ND MAIN ROAD VIJAYANANDANAGAR</td>\n",
       "      <td>BANGALORE NORTHBANGALORE  NANDINILAYOUT</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>3.21</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.13</td>\n",
       "      <td>ACH</td>\n",
       "      <td>ICIC0002317</td>\n",
       "      <td>7</td>\n",
       "      <td>CD/TW -720+ norms met</td>\n",
       "      <td>1.0</td>\n",
       "      <td>E SHOPPE</td>\n",
       "      <td>DS</td>\n",
       "      <td>0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3009CD0000011</td>\n",
       "      <td>KA3009CD0000011</td>\n",
       "      <td>CD01216</td>\n",
       "      <td>CD</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0006206</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.66</td>\n",
       "      <td>KA</td>\n",
       "      <td>None</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG TV UA32M4200DRLXL</td>\n",
       "      <td>DT1128</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0034</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>17332.0</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>SSC</td>\n",
       "      <td>23</td>\n",
       "      <td>710.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>U84, 2 nd main road</td>\n",
       "      <td>swathantrapalya srirampura</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>ACH</td>\n",
       "      <td>SBIN0007080</td>\n",
       "      <td>4</td>\n",
       "      <td>CD/TW- 650-719 norms met</td>\n",
       "      <td>1.0</td>\n",
       "      <td>VENUS WORLD</td>\n",
       "      <td>DS</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          PROPNO           AGMTNO DEALER_CODE PORTFOLIO PREPAIDPOSTPAIDFLAG  \\\n",
       "0  3078CD0009160  WB3078CD0009160     CD00910        CD                   0   \n",
       "1  3078CD0009162  WB3078CD0009162     CD00458        CD                   0   \n",
       "2  3078CD0009161  WB3078CD0009161     CD00442        CD                None   \n",
       "3  3009CD0000002  KA3009CD0000002     CD01183        CD                   0   \n",
       "4  3009CD0000011  KA3009CD0000011     CD01216        CD                None   \n",
       "\n",
       "   AVGMOBILEBILLAMOUNTLAST3MON  AVGMOBRECHARGEAMOUNTLAST3MON  \\\n",
       "0                          0.0                           0.0   \n",
       "1                          0.0                           0.0   \n",
       "2                          NaN                           NaN   \n",
       "3                          0.0                           0.0   \n",
       "4                          NaN                           NaN   \n",
       "\n",
       "                INSTALLTIME              LASTPINGTIME  \\\n",
       "0  2018-04-23T12:10:07.466Z  2018-04-23T12:14:29.339Z   \n",
       "1  2018-04-23T10:08:59.507Z  2018-04-23T15:37:31.502Z   \n",
       "2                      None                      None   \n",
       "3  2018-03-17T10:49:16.175Z  2018-03-17T14:48:12.875Z   \n",
       "4                      None                      None   \n",
       "\n",
       "                REQUESTTIME DEALER_TYPE PRODUCT_CODE MODEL_CODE SCHEME_TYPE  \\\n",
       "0  2018-04-23T20:12:08.774Z      DEALER           TV  CD0003748       CDOEM   \n",
       "1  2018-04-23T19:15:05.057Z      DEALER           TV  CD0007287       CDOEM   \n",
       "2                      None      DEALER       FRIDGE  CD0011224       CDOEM   \n",
       "3  2018-03-17T19:14:46.949Z      DEALER           TV  CD0002970       CDOEM   \n",
       "4                      None      DEALER           TV  CD0006206       CDOEM   \n",
       "\n",
       "     LTV STATE IMEI_NUMBER  MAKE_CODE                     MODEL_DESC  \\\n",
       "0  68.18    WB        None    SAMSUNG      SAMSUNG TV UA43K5002AKXXL   \n",
       "1  66.66    WB        None       SONY        SONY TV KLV-32R302E IN5   \n",
       "2  66.65    WB        None    SAMSUNG  SAMSUNG FRIDGE RR20N2Y2ZD3/NL   \n",
       "3  66.67    KA        None  PANASONIC       PANASONIC TV TH-32E200DX   \n",
       "4  66.66    KA        None    SAMSUNG      SAMSUNG TV UA32M4200DRLXL   \n",
       "\n",
       "  DEALER_CITY REGISTRATION_TYPE SCHEME_CODE CIBIL_HIT SURROGATE  \\\n",
       "0      DT1234              None   CD_M_0085         Y      None   \n",
       "1      DT1223              None   CD_M_0153         Y      None   \n",
       "2      DT1222              None   CD_M_0034         Y      None   \n",
       "3      DT1128              None   CD_M_0038         Y      None   \n",
       "4      DT1128              None   CD_M_0034         Y      None   \n",
       "\n",
       "   ACTUAL_LOAN_AMOUNT         CITY  LATESTBALANCE  GENDER   QUALIFICATION  \\\n",
       "0             32611.0   Jalpaiguri      190758.16    MALE             SSC   \n",
       "1             16332.0  Murshidabad            NaN    MALE        GRADUATE   \n",
       "2             11064.0    Bardhaman            NaN    MALE            12TH   \n",
       "3             10800.0    Bangalore       11575.00  FEMALE  UNDER GRADUATE   \n",
       "4             17332.0    Bangalore            NaN    MALE             SSC   \n",
       "\n",
       "   AGE  CIBIL_SCORE EXISTING_CUSTOMER SPL_INSURANCE_TYPE ADDRESS_TYPE  \\\n",
       "0   32         -1.0              None               None           RS   \n",
       "1   23         -1.0              None               None           RS   \n",
       "2   43         -1.0              None               None           RS   \n",
       "3   26        726.0              None               None           RS   \n",
       "4   23        710.0              None               None           RS   \n",
       "\n",
       "  RESIDENT_TYPE                             ADDRESS1  \\\n",
       "0         OWNED                DUMCHIPARA TEA GARDEN   \n",
       "1         OWNED                       JHAUBANA NAWDA   \n",
       "2         OWNED                   MATHRUN MONGALKOTE   \n",
       "3          RENT  #242 2ND MAIN ROAD VIJAYANANDANAGAR   \n",
       "4         OWNED                  U84, 2 nd main road   \n",
       "\n",
       "                                  ADDRESS2 ADDRESS3 VOTERID PANNO  \\\n",
       "0                          JATHA LINE.   .     None       N     Y   \n",
       "1                           JHAUBANA NAWDA     None       N     N   \n",
       "2                       MATHRUN BARDDHAMAN     None       N     N   \n",
       "3  BANGALORE NORTHBANGALORE  NANDINILAYOUT     None       N     N   \n",
       "4               swathantrapalya srirampura     None       N     N   \n",
       "\n",
       "  DRIVING_LICENSE PASSPORT AADHAR RATION  ACTIVITY_CODE  TAT_HOUR  TAT_DAYS  \\\n",
       "0               N        N      Y      N  DISBURSAL_TAT     22.52      0.94   \n",
       "1               N        N      Y      N  DISBURSAL_TAT    144.43      6.02   \n",
       "2               N        N      Y      N  DISBURSAL_TAT      0.00      0.00   \n",
       "3               N        N      Y      N  DISBURSAL_TAT      3.21      0.13   \n",
       "4               N        N      Y      N  DISBURSAL_TAT      3.00      0.13   \n",
       "\n",
       "   TAT_DAYS_EXCLUDE_SUNDAY PAYMENT_TYPE    IFSC_CODE ELIGIBILITYGRID  \\\n",
       "0                     0.94          ADM  SBIN0002025            None   \n",
       "1                     4.02          ADM  SBIN0007104            None   \n",
       "2                     0.00          ACH  UBIN0540510            None   \n",
       "3                     0.13          ACH  ICIC0002317               7   \n",
       "4                     0.00          ACH  SBIN0007080               4   \n",
       "\n",
       "            ELIGIBILITYGRID_REMARK  IS_MANDATE_REGISTERED  \\\n",
       "0  No eligibility criteria matched                    1.0   \n",
       "1  No eligibility criteria matched                    1.0   \n",
       "2  No eligibility criteria matched                    1.0   \n",
       "3            CD/TW -720+ norms met                    1.0   \n",
       "4         CD/TW- 650-719 norms met                    1.0   \n",
       "\n",
       "                           DELAER_NAME DELAER_CATEGORY  IS_MOBILE  \\\n",
       "0                         GOYAL RADIOS              DD          0   \n",
       "1                           SUR SANGAM              DD          0   \n",
       "2  ROY ELECTRONICS  AND SERVICE CENTRE              DD          0   \n",
       "3                             E SHOPPE              DS          0   \n",
       "4                          VENUS WORLD              DS          0   \n",
       "\n",
       "   Mobile_active_hours  \n",
       "0                  0.0  \n",
       "1                  5.0  \n",
       "2                  NaN  \n",
       "3                  4.0  \n",
       "4                  NaN  "
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2.head()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "LabelEncoding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['0', None, 'Prepaid', 'null', 'Postpaid', 'Both', 'prepaid',\n",
       "       'prepaid and postpaid', 'postpaid'], dtype=object)"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2['PREPAIDPOSTPAIDFLAG'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mark_post_prepaid(row):\n",
    "    if row['PREPAIDPOSTPAIDFLAG'] in ['prepaid', 'Prepaid']:\n",
    "        return 1\n",
    "    elif row['PREPAIDPOSTPAIDFLAG'] in ['Both', 'postpaid', 'prepaid and postpaid', 'Postpaid']:\n",
    "        return 2\n",
    "    else:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2['PREPAIDPOSTPAIDFLAG'] = final_data_v2.apply(mark_post_prepaid, axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2['AVGMOBILEBILLAMOUNTLAST3MON'] = final_data_v2['AVGMOBILEBILLAMOUNTLAST3MON'].fillna(value=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2['AVGMOBRECHARGEAMOUNTLAST3MON'] = final_data_v2['AVGMOBRECHARGEAMOUNTLAST3MON'].fillna(value=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2['AVGMOBRECHARGEAMOUNTLAST3MON'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 223,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2['AVGMOBILEBILLAMOUNTLAST3MON'].isnull().sum() #334024"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    673177.000000\n",
       "mean          1.465247\n",
       "std         146.704907\n",
       "min        -191.160000\n",
       "25%           0.000000\n",
       "50%           0.000000\n",
       "75%           0.000000\n",
       "max      103279.440000\n",
       "Name: AVGMOBILEBILLAMOUNTLAST3MON, dtype: float64"
      ]
     },
     "execution_count": 224,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2['AVGMOBILEBILLAMOUNTLAST3MON'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    673177.000000\n",
       "mean          3.070004\n",
       "std          40.679030\n",
       "min           0.000000\n",
       "25%           0.000000\n",
       "50%           0.000000\n",
       "75%           0.000000\n",
       "max        6584.000000\n",
       "Name: AVGMOBRECHARGEAMOUNTLAST3MON, dtype: float64"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2['AVGMOBRECHARGEAMOUNTLAST3MON'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x257efa0f780>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "final_data_v2['AVGMOBILEBILLAMOUNTLAST3MON'].plot.hist(bins=10, alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x257ebe91898>"
      ]
     },
     "execution_count": 228,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "final_data_v2['AVGMOBRECHARGEAMOUNTLAST3MON'].plot.hist(bins=10, alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2576e737710>"
      ]
     },
     "execution_count": 229,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "final_data_v2.boxplot(column=['AVGMOBRECHARGEAMOUNTLAST3MON'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2581d74abe0>"
      ]
     },
     "execution_count": 230,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "final_data_v2.boxplot(column=['AVGMOBILEBILLAMOUNTLAST3MON'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'  \\nprepost = 0 then monthly bill 0\\nprepost = 1 \\nthen monthly bill = AVGMOBRECHARGEAMOUNTLAST3MON\\nprepost = 2 AND AVGMOBILEBILLAMOUNTLAST3MON = 0\\nthen monthly bill = AVGMOBRECHARGEAMOUNTLAST3MON\\nelse \\nthen monthly bill = AVGMOBILEBILLAMOUNTLAST3MON\\n'"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def mobilebill(row):\n",
    "    if row['PREPAIDPOSTPAIDFLAG'] == 0:\n",
    "        return 0.0\n",
    "    elif row['PREPAIDPOSTPAIDFLAG'] == 1:\n",
    "        return float(str(row['AVGMOBRECHARGEAMOUNTLAST3MON']))\n",
    "    elif row['PREPAIDPOSTPAIDFLAG'] == 2:\n",
    "        if row['AVGMOBILEBILLAMOUNTLAST3MON'] != 0:\n",
    "            return float(str(row['AVGMOBILEBILLAMOUNTLAST3MON']))\n",
    "        else:\n",
    "            return float(str(row['AVGMOBRECHARGEAMOUNTLAST3MON']))\n",
    "        \n",
    "\"\"\"  \n",
    "prepost = 0 then monthly bill 0\n",
    "prepost = 1 \n",
    "then monthly bill = AVGMOBRECHARGEAMOUNTLAST3MON\n",
    "prepost = 2 AND AVGMOBILEBILLAMOUNTLAST3MON = 0\n",
    "then monthly bill = AVGMOBRECHARGEAMOUNTLAST3MON\n",
    "else \n",
    "then monthly bill = AVGMOBILEBILLAMOUNTLAST3MON\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2['Mobile_Bill'] = final_data_v2.apply(mobilebill, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    673177.000000\n",
       "mean          4.468718\n",
       "std         152.108033\n",
       "min        -191.160000\n",
       "25%           0.000000\n",
       "50%           0.000000\n",
       "75%           0.000000\n",
       "max      103279.440000\n",
       "Name: Mobile_Bill, dtype: float64"
      ]
     },
     "execution_count": 233,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2['Mobile_Bill'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mobile_billbin(row):\n",
    "    if row['Mobile_Bill'] > 0 and row['Mobile_Bill'] <= 50:\n",
    "        return 1\n",
    "    elif row['Mobile_Bill'] > 50 and row['Mobile_Bill'] <= 100:\n",
    "        return 2\n",
    "    elif row['Mobile_Bill'] > 100 and row['Mobile_Bill'] <= 150:\n",
    "        return 3\n",
    "    elif row['Mobile_Bill'] > 150 and row['Mobile_Bill'] <= 200:\n",
    "        return 4\n",
    "    elif row['Mobile_Bill'] > 200 and row['Mobile_Bill'] <= 250:\n",
    "        return 5\n",
    "    elif row['Mobile_Bill'] > 250 and row['Mobile_Bill'] <= 300:\n",
    "        return 6\n",
    "    elif row['Mobile_Bill'] > 300 and row['Mobile_Bill'] <= 350:\n",
    "        return 7\n",
    "    elif row['Mobile_Bill'] > 350 and row['Mobile_Bill'] <= 400:\n",
    "        return 8\n",
    "    elif row['Mobile_Bill'] > 400 and row['Mobile_Bill'] <= 450:\n",
    "        return 9\n",
    "    elif row['Mobile_Bill'] > 450 and row['Mobile_Bill'] <= 500:\n",
    "        return 10\n",
    "    elif row['Mobile_Bill'] > 500:\n",
    "        return 11\n",
    "    else:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2['Mobile_Bill_bin'] = final_data_v2.apply(mobile_billbin, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Y', 'N'], dtype=object)"
      ]
     },
     "execution_count": 236,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2.CIBIL_HIT.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([None, 'Banking', 'Income Proof', 'Own house proof',\n",
       "       'Debit/Credit Card', 'CIBIL', 'CRIF', 'SAATHI', 'Repayment',\n",
       "       'Business Proof', 'Car RC'], dtype=object)"
      ]
     },
     "execution_count": 237,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2.SURROGATE.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 238,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2.CIBIL_HIT.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2['IS_CIBIL_HIT'] = final_data_v2.apply(lambda x: 1 if x['CIBIL_HIT'] == 'Y' else 0, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [],
   "source": [
    "def is_surrogate(row):\n",
    "    if row['SURROGATE'] == 'Banking':\n",
    "        return 1\n",
    "    elif row['SURROGATE'] == 'Debit/Credit Card':\n",
    "        return 2\n",
    "    elif row['SURROGATE'] == 'Own house proof':\n",
    "        return 3\n",
    "    elif row['SURROGATE'] == 'CIBIL':\n",
    "        return 4\n",
    "    elif row['SURROGATE'] == 'Repayment':\n",
    "        return 5\n",
    "    elif row['SURROGATE'] == 'Income Proof':\n",
    "        return 6\n",
    "    elif row['SURROGATE'] == 'SAATHI':\n",
    "        return 7\n",
    "    elif row['SURROGATE'] == 'CRIF':\n",
    "        return 8\n",
    "    elif row['SURROGATE'] == 'Business Proof':\n",
    "        return 9\n",
    "    elif row['SURROGATE'] == 'Car RC':\n",
    "        return 10\n",
    "    else:\n",
    "        return 0\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2['SURROGATE_CAT'] = final_data_v2.apply(is_surrogate, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "370524"
      ]
     },
     "execution_count": 242,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2.SURROGATE.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x25815d5b7f0>"
      ]
     },
     "execution_count": 243,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "final_data_v2['ACTUAL_LOAN_AMOUNT'].plot.hist(bins=10, alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    673177.00000\n",
       "mean      15490.86250\n",
       "std        7671.52948\n",
       "min        3150.00000\n",
       "25%       10493.00000\n",
       "50%       13300.00000\n",
       "75%       18000.00000\n",
       "max      272000.00000\n",
       "Name: ACTUAL_LOAN_AMOUNT, dtype: float64"
      ]
     },
     "execution_count": 244,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2['ACTUAL_LOAN_AMOUNT'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {},
   "outputs": [],
   "source": [
    "tickets = np.percentile(final_data_v2['ACTUAL_LOAN_AMOUNT'], [10,20,30,40,50,60,70,80,90,100])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {},
   "outputs": [],
   "source": [
    "def ticketsize(row):\n",
    "    if row['ACTUAL_LOAN_AMOUNT'] > 0 and row['ACTUAL_LOAN_AMOUNT'] <= tickets[0]:\n",
    "        return 1\n",
    "    elif row['ACTUAL_LOAN_AMOUNT'] > tickets[0] and row['ACTUAL_LOAN_AMOUNT'] <= tickets[1]:\n",
    "        return 2\n",
    "    elif row['ACTUAL_LOAN_AMOUNT'] > tickets[1] and row['ACTUAL_LOAN_AMOUNT'] <= tickets[2]:\n",
    "        return 3\n",
    "    elif row['ACTUAL_LOAN_AMOUNT'] > tickets[2] and row['ACTUAL_LOAN_AMOUNT'] <= tickets[3]:\n",
    "        return 4\n",
    "    elif row['ACTUAL_LOAN_AMOUNT'] > tickets[3] and row['ACTUAL_LOAN_AMOUNT'] <= tickets[4]:\n",
    "        return 5\n",
    "    elif row['ACTUAL_LOAN_AMOUNT'] > tickets[4] and row['ACTUAL_LOAN_AMOUNT'] <= tickets[5]:\n",
    "        return 6\n",
    "    elif row['ACTUAL_LOAN_AMOUNT'] > tickets[5] and row['ACTUAL_LOAN_AMOUNT'] <= tickets[6]:\n",
    "        return 7\n",
    "    elif row['ACTUAL_LOAN_AMOUNT'] > tickets[6] and row['ACTUAL_LOAN_AMOUNT'] <= tickets[7]:\n",
    "        return 8\n",
    "    elif row['ACTUAL_LOAN_AMOUNT'] > tickets[7] and row['ACTUAL_LOAN_AMOUNT'] <= tickets[8]:\n",
    "        return 9\n",
    "    elif row['ACTUAL_LOAN_AMOUNT'] > tickets[8] and row['ACTUAL_LOAN_AMOUNT'] <= tickets[9]:\n",
    "        return 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2['TICKET_SIZE'] = final_data_v2.apply(ticketsize, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2['TAT_DAYS'] = final_data_v2['TAT_DAYS'].fillna(value=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    673177.000000\n",
       "mean          1.102250\n",
       "std          16.217647\n",
       "min           0.000000\n",
       "25%           0.000000\n",
       "50%           0.000000\n",
       "75%           0.010000\n",
       "max         416.640000\n",
       "Name: TAT_DAYS, dtype: float64"
      ]
     },
     "execution_count": 249,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2['TAT_DAYS'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "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>PROPNO</th>\n",
       "      <th>AGMTNO</th>\n",
       "      <th>DEALER_CODE</th>\n",
       "      <th>PORTFOLIO</th>\n",
       "      <th>PREPAIDPOSTPAIDFLAG</th>\n",
       "      <th>AVGMOBILEBILLAMOUNTLAST3MON</th>\n",
       "      <th>AVGMOBRECHARGEAMOUNTLAST3MON</th>\n",
       "      <th>INSTALLTIME</th>\n",
       "      <th>LASTPINGTIME</th>\n",
       "      <th>REQUESTTIME</th>\n",
       "      <th>DEALER_TYPE</th>\n",
       "      <th>PRODUCT_CODE</th>\n",
       "      <th>MODEL_CODE</th>\n",
       "      <th>SCHEME_TYPE</th>\n",
       "      <th>LTV</th>\n",
       "      <th>STATE</th>\n",
       "      <th>IMEI_NUMBER</th>\n",
       "      <th>MAKE_CODE</th>\n",
       "      <th>MODEL_DESC</th>\n",
       "      <th>DEALER_CITY</th>\n",
       "      <th>REGISTRATION_TYPE</th>\n",
       "      <th>SCHEME_CODE</th>\n",
       "      <th>CIBIL_HIT</th>\n",
       "      <th>SURROGATE</th>\n",
       "      <th>ACTUAL_LOAN_AMOUNT</th>\n",
       "      <th>CITY</th>\n",
       "      <th>LATESTBALANCE</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>QUALIFICATION</th>\n",
       "      <th>AGE</th>\n",
       "      <th>CIBIL_SCORE</th>\n",
       "      <th>EXISTING_CUSTOMER</th>\n",
       "      <th>SPL_INSURANCE_TYPE</th>\n",
       "      <th>ADDRESS_TYPE</th>\n",
       "      <th>RESIDENT_TYPE</th>\n",
       "      <th>ADDRESS1</th>\n",
       "      <th>ADDRESS2</th>\n",
       "      <th>ADDRESS3</th>\n",
       "      <th>VOTERID</th>\n",
       "      <th>PANNO</th>\n",
       "      <th>DRIVING_LICENSE</th>\n",
       "      <th>PASSPORT</th>\n",
       "      <th>AADHAR</th>\n",
       "      <th>RATION</th>\n",
       "      <th>ACTIVITY_CODE</th>\n",
       "      <th>TAT_HOUR</th>\n",
       "      <th>TAT_DAYS</th>\n",
       "      <th>TAT_DAYS_EXCLUDE_SUNDAY</th>\n",
       "      <th>PAYMENT_TYPE</th>\n",
       "      <th>IFSC_CODE</th>\n",
       "      <th>ELIGIBILITYGRID</th>\n",
       "      <th>ELIGIBILITYGRID_REMARK</th>\n",
       "      <th>IS_MANDATE_REGISTERED</th>\n",
       "      <th>DELAER_NAME</th>\n",
       "      <th>DELAER_CATEGORY</th>\n",
       "      <th>IS_MOBILE</th>\n",
       "      <th>Mobile_active_hours</th>\n",
       "      <th>Mobile_Bill</th>\n",
       "      <th>Mobile_Bill_bin</th>\n",
       "      <th>IS_CIBIL_HIT</th>\n",
       "      <th>SURROGATE_CAT</th>\n",
       "      <th>TICKET_SIZE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>217244</th>\n",
       "      <td>3078CD0063873</td>\n",
       "      <td>WB3078CD0063873</td>\n",
       "      <td>CD03449</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-10-04T15:38:16.775Z</td>\n",
       "      <td>2018-10-04T19:48:06.147Z</td>\n",
       "      <td>2018-10-04T19:52:35.597Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>MOBILE</td>\n",
       "      <td>CD00124123</td>\n",
       "      <td>CDSPL</td>\n",
       "      <td>68.93</td>\n",
       "      <td>WB</td>\n",
       "      <td>357110091015681</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>Samsung MOBILE SM-J600GZKHINS</td>\n",
       "      <td>DT1234</td>\n",
       "      <td>None</td>\n",
       "      <td>CD_M_0245</td>\n",
       "      <td>Y</td>\n",
       "      <td>None</td>\n",
       "      <td>10150.0</td>\n",
       "      <td>Jalpaiguri</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>GRADUATE</td>\n",
       "      <td>24</td>\n",
       "      <td>722.0</td>\n",
       "      <td>None</td>\n",
       "      <td>L</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>SUBHASH PALLY</td>\n",
       "      <td>HYAMILTAN GANJUTTAR LATABARI</td>\n",
       "      <td>None</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>9999.39</td>\n",
       "      <td>416.64</td>\n",
       "      <td>344.68</td>\n",
       "      <td>ACH</td>\n",
       "      <td>BDBL0001140</td>\n",
       "      <td>7</td>\n",
       "      <td>CD/TW -700+ norms met</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STEP IN THE MOBILE SHOP</td>\n",
       "      <td>DS</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               PROPNO           AGMTNO DEALER_CODE PORTFOLIO  \\\n",
       "217244  3078CD0063873  WB3078CD0063873     CD03449        CD   \n",
       "\n",
       "        PREPAIDPOSTPAIDFLAG  AVGMOBILEBILLAMOUNTLAST3MON  \\\n",
       "217244                    0                          0.0   \n",
       "\n",
       "        AVGMOBRECHARGEAMOUNTLAST3MON               INSTALLTIME  \\\n",
       "217244                           0.0  2018-10-04T15:38:16.775Z   \n",
       "\n",
       "                    LASTPINGTIME               REQUESTTIME DEALER_TYPE  \\\n",
       "217244  2018-10-04T19:48:06.147Z  2018-10-04T19:52:35.597Z      DEALER   \n",
       "\n",
       "       PRODUCT_CODE  MODEL_CODE SCHEME_TYPE    LTV STATE      IMEI_NUMBER  \\\n",
       "217244       MOBILE  CD00124123       CDSPL  68.93    WB  357110091015681   \n",
       "\n",
       "       MAKE_CODE                     MODEL_DESC DEALER_CITY REGISTRATION_TYPE  \\\n",
       "217244   SAMSUNG  Samsung MOBILE SM-J600GZKHINS      DT1234              None   \n",
       "\n",
       "       SCHEME_CODE CIBIL_HIT SURROGATE  ACTUAL_LOAN_AMOUNT        CITY  \\\n",
       "217244   CD_M_0245         Y      None             10150.0  Jalpaiguri   \n",
       "\n",
       "        LATESTBALANCE GENDER QUALIFICATION  AGE  CIBIL_SCORE  \\\n",
       "217244            NaN   MALE      GRADUATE   24        722.0   \n",
       "\n",
       "       EXISTING_CUSTOMER SPL_INSURANCE_TYPE ADDRESS_TYPE RESIDENT_TYPE  \\\n",
       "217244              None                  L           RS         OWNED   \n",
       "\n",
       "             ADDRESS1                      ADDRESS2 ADDRESS3 VOTERID PANNO  \\\n",
       "217244  SUBHASH PALLY  HYAMILTAN GANJUTTAR LATABARI     None       N     N   \n",
       "\n",
       "       DRIVING_LICENSE PASSPORT AADHAR RATION  ACTIVITY_CODE  TAT_HOUR  \\\n",
       "217244               N        N      Y      N  DISBURSAL_TAT   9999.39   \n",
       "\n",
       "        TAT_DAYS  TAT_DAYS_EXCLUDE_SUNDAY PAYMENT_TYPE    IFSC_CODE  \\\n",
       "217244    416.64                   344.68          ACH  BDBL0001140   \n",
       "\n",
       "       ELIGIBILITYGRID ELIGIBILITYGRID_REMARK  IS_MANDATE_REGISTERED  \\\n",
       "217244               7  CD/TW -700+ norms met                    1.0   \n",
       "\n",
       "                    DELAER_NAME DELAER_CATEGORY  IS_MOBILE  \\\n",
       "217244  STEP IN THE MOBILE SHOP              DS          1   \n",
       "\n",
       "        Mobile_active_hours  Mobile_Bill  Mobile_Bill_bin  IS_CIBIL_HIT  \\\n",
       "217244                  4.0          0.0                0             1   \n",
       "\n",
       "        SURROGATE_CAT  TICKET_SIZE  \n",
       "217244              0            3  "
      ]
     },
     "execution_count": 250,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_v2.loc[final_data_v2['TAT_DAYS'] == 416.640000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x25818876be0>"
      ]
     },
     "execution_count": 251,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "final_data_v2['TAT_DAYS'].plot.hist(bins=10, alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2['CROSS_SELL_INSURANCE'] = final_data_v2['SPL_INSURANCE_TYPE'].fillna(value=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2['CROSS_SELL_INSURANCE'] = final_data_v2.apply(lambda x: 0 if x['CROSS_SELL_INSURANCE'] == 0 else 1, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v2.to_csv(\"D:\\CD_VARIABLES_Stage3_V1.csv\", index=False)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "query_list = [\"SELECT count(1) FROM BIUSR.TBL_TRN_MB_CIB_ACCOUNT_SEGMENT WHERE TRACKING_ID = 'CD'\\\n",
    "AND PROSPECT_NO = {}\"]"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "for i in Data.PROPNO.values:\n",
    "    \n",
    "    for j in query_list:\n",
    "        cur = connection.cursor()\n",
    "        cur.prepare(j.format(':pros'))\n",
    "        cur.execute(None, pros = i)\n",
    "        res = cur.fetchall()\n",
    "        print(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\5029874\\AppData\\Local\\Continuum\\anaconda3\\envs\\trainingenv\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3020: DtypeWarning: Columns (16,37) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "final_data_v3 = pd.read_csv(\"D:\\CD_VARIABLES_Stage3_V1.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "metadata": {},
   "outputs": [],
   "source": [
    "Dealer_city = pd.read_excel(\"D:\\CD\\DT_City_Code.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "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>SZCITYCODE</th>\n",
       "      <th>SZDESC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DT</td>\n",
       "      <td>Navi Mumbai</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DT</td>\n",
       "      <td>Utter Dinaspur</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DT1</td>\n",
       "      <td>Bagalkot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DT10</td>\n",
       "      <td>Chitradurga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>DT100</td>\n",
       "      <td>Ujjain</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  SZCITYCODE          SZDESC\n",
       "0         DT    Navi Mumbai \n",
       "1         DT  Utter Dinaspur\n",
       "2        DT1       Bagalkot \n",
       "3       DT10     Chitradurga\n",
       "4      DT100          Ujjain"
      ]
     },
     "execution_count": 258,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Dealer_city.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Latur'"
      ]
     },
     "execution_count": 259,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(Dealer_city.loc[Dealer_city['SZCITYCODE'] == 'DT1008', 'SZDESC'])[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "metadata": {},
   "outputs": [],
   "source": [
    "def dealer(row):\n",
    "    if str(row['DEALER_CITY']).startswith('DT'):\n",
    "        #print(row['DEALER_CITY'])\n",
    "        row['DEALER_CITY'] = list(Dealer_city.loc[Dealer_city['SZCITYCODE'] == row['DEALER_CITY'], 'SZDESC'])[0]\n",
    "            \n",
    "    return row['DEALER_CITY']\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v3['DEALER_CITY_V2'] = final_data_v3.apply(dealer, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_v3.to_csv(\"D:\\CD\\CD_VARIABLES_Stage3_V2.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\5029874\\AppData\\Local\\Continuum\\anaconda3\\envs\\trainingenv\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3020: DtypeWarning: Columns (2,5) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "ifsc_df = pd.read_csv(\"D:\\CD\\IFSC_CODE\\All_Bank_IFSC_CODE.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {},
   "outputs": [],
   "source": [
    "ifsc_df.columns = ['BANK_NAME','IFSC_CODE','MICR_CODE','BANK_BRANCH','BANK_ADDRESS','BANK_CONTACT',\n",
    "                   'BANK_CITY','BANK_DISTRICT','BANK_STATE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "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>BANK_NAME</th>\n",
       "      <th>IFSC_CODE</th>\n",
       "      <th>MICR_CODE</th>\n",
       "      <th>BANK_BRANCH</th>\n",
       "      <th>BANK_ADDRESS</th>\n",
       "      <th>BANK_CONTACT</th>\n",
       "      <th>BANK_CITY</th>\n",
       "      <th>BANK_DISTRICT</th>\n",
       "      <th>BANK_STATE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ABU DHABI COMMERCIAL BANK</td>\n",
       "      <td>ADCB0000001</td>\n",
       "      <td>400269002</td>\n",
       "      <td>RTGS-HO</td>\n",
       "      <td>75, REHMAT MANZIL, V. N. ROAD, CURCHGATE, MUMB...</td>\n",
       "      <td>39534100</td>\n",
       "      <td>MUMBAI</td>\n",
       "      <td>MUMBAI CITY</td>\n",
       "      <td>MAHARASHTRA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ABU DHABI COMMERCIAL BANK</td>\n",
       "      <td>ADCB0000002</td>\n",
       "      <td>560269002</td>\n",
       "      <td>BANGALORE</td>\n",
       "      <td>CITI CENTRE, 28, CHURCH STREET, OFF M. G. ROAD...</td>\n",
       "      <td>25582000</td>\n",
       "      <td>BANGALORE</td>\n",
       "      <td>BANGALORE URBAN</td>\n",
       "      <td>KARNATAKA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ABHYUDAYA COOPERATIVE BANK LIMITED</td>\n",
       "      <td>ABHY0065001</td>\n",
       "      <td>400065001</td>\n",
       "      <td>RTGS-HO</td>\n",
       "      <td>ABHYUDAYA BANK BLDG., B.NO.71, NEHRU NAGAR, KU...</td>\n",
       "      <td>25260173</td>\n",
       "      <td>MUMBAI</td>\n",
       "      <td>GREATER MUMBAI</td>\n",
       "      <td>MAHARASHTRA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ABHYUDAYA COOPERATIVE BANK LIMITED</td>\n",
       "      <td>ABHY0065002</td>\n",
       "      <td>400065002</td>\n",
       "      <td>ABHYUDAYA NAGAR</td>\n",
       "      <td>ABHYUDAYA EDUCATION SOCIETY, OPP. BLDG. NO. 18...</td>\n",
       "      <td>24702643</td>\n",
       "      <td>MUMBAI</td>\n",
       "      <td>GREATER MUMBAI</td>\n",
       "      <td>MAHARASHTRA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ABHYUDAYA COOPERATIVE BANK LIMITED</td>\n",
       "      <td>ABHY0065003</td>\n",
       "      <td>400065003</td>\n",
       "      <td>BAIL BAZAR</td>\n",
       "      <td>KMSPM'S SCHOOL, WADIA ESTATE, BAIL BAZAR-KURLA...</td>\n",
       "      <td>25032202</td>\n",
       "      <td>MUMBAI</td>\n",
       "      <td>GREATER MUMBAI</td>\n",
       "      <td>MAHARASHTRA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            BANK_NAME    IFSC_CODE  MICR_CODE  \\\n",
       "0           ABU DHABI COMMERCIAL BANK  ADCB0000001  400269002   \n",
       "1           ABU DHABI COMMERCIAL BANK  ADCB0000002  560269002   \n",
       "2  ABHYUDAYA COOPERATIVE BANK LIMITED  ABHY0065001  400065001   \n",
       "3  ABHYUDAYA COOPERATIVE BANK LIMITED  ABHY0065002  400065002   \n",
       "4  ABHYUDAYA COOPERATIVE BANK LIMITED  ABHY0065003  400065003   \n",
       "\n",
       "       BANK_BRANCH                                       BANK_ADDRESS  \\\n",
       "0          RTGS-HO  75, REHMAT MANZIL, V. N. ROAD, CURCHGATE, MUMB...   \n",
       "1        BANGALORE  CITI CENTRE, 28, CHURCH STREET, OFF M. G. ROAD...   \n",
       "2          RTGS-HO  ABHYUDAYA BANK BLDG., B.NO.71, NEHRU NAGAR, KU...   \n",
       "3  ABHYUDAYA NAGAR  ABHYUDAYA EDUCATION SOCIETY, OPP. BLDG. NO. 18...   \n",
       "4       BAIL BAZAR  KMSPM'S SCHOOL, WADIA ESTATE, BAIL BAZAR-KURLA...   \n",
       "\n",
       "  BANK_CONTACT  BANK_CITY    BANK_DISTRICT   BANK_STATE  \n",
       "0     39534100     MUMBAI      MUMBAI CITY  MAHARASHTRA  \n",
       "1     25582000  BANGALORE  BANGALORE URBAN    KARNATAKA  \n",
       "2     25260173     MUMBAI   GREATER MUMBAI  MAHARASHTRA  \n",
       "3     24702643     MUMBAI   GREATER MUMBAI  MAHARASHTRA  \n",
       "4     25032202     MUMBAI   GREATER MUMBAI  MAHARASHTRA  "
      ]
     },
     "execution_count": 266,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ifsc_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "metadata": {},
   "outputs": [],
   "source": [
    " final_data_bnk_info_v3 = pd.merge(final_data_v3, ifsc_df, on=['IFSC_CODE'], how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "metadata": {},
   "outputs": [],
   "source": [
    " final_data_bnk_info_v3['DEALER_CITY_V2'].fillna(\"No Value\", inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {},
   "outputs": [],
   "source": [
    " final_data_bnk_info_v3['CITY'].fillna(\"No Value\", inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v3['DEALER_CUST_CITY'] = final_data_bnk_info_v3.apply(lambda x: \n",
    "                                                                          1 if x['DEALER_CITY_V2'].lower() == x['CITY'].lower()\n",
    "                                                                         else 0, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "metadata": {},
   "outputs": [],
   "source": [
    " final_data_bnk_info_v3['BANK_CITY'].fillna(\"No Value\", inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v3['CUST_BANK_CITY_DIFF'] = final_data_bnk_info_v3.apply(lambda x: \n",
    "                                                                          1 if x['CITY'].lower() == x['BANK_CITY'].lower()\n",
    "                                                                         else 0, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "metadata": {},
   "outputs": [],
   "source": [
    "tickets_age = np.percentile(final_data_v2['AGE'], [10,20,30,40,50,60,70,80,90,100])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([23., 25., 27., 29., 31., 34., 37., 41., 47., 99.])"
      ]
     },
     "execution_count": 303,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tickets_age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "metadata": {},
   "outputs": [],
   "source": [
    "def ticketsize_age(row):\n",
    "    if row['AGE'] >= 23 and row['AGE'] < 25:\n",
    "        return 1\n",
    "    elif row['AGE'] >= 25 and row['AGE'] < 27:\n",
    "        return 2\n",
    "    elif row['AGE'] >= 27 and row['AGE'] < 29:\n",
    "        return 3\n",
    "    elif row['AGE'] >= 29 and row['AGE'] < 31:\n",
    "        return 4\n",
    "    elif row['AGE'] >= 31 and row['AGE'] < 34:\n",
    "        return 5\n",
    "    elif row['AGE'] >= 34 and row['AGE'] < 37:\n",
    "        return 6\n",
    "    elif row['AGE'] >= 37 and row['AGE'] < 41:\n",
    "        return 7\n",
    "    elif row['AGE'] >= 41 and row['AGE'] < 47:\n",
    "        return 8\n",
    "    elif row['AGE'] >= 47 and row['AGE'] <= 99:\n",
    "        return 9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v3['AGE_BIN'] = final_data_bnk_info_v3.apply(ticketsize_age, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v3['CIBIL_SCORE_NEW'] = final_data_bnk_info_v3.apply(lambda x: 0 if x['CIBIL_SCORE'] <= 0 \n",
    "                                                                         else x['CIBIL_SCORE'], axis = 1) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    672831.000000\n",
       "mean        338.521609\n",
       "std         357.853801\n",
       "min           0.000000\n",
       "25%           0.000000\n",
       "50%           1.000000\n",
       "75%         715.000000\n",
       "max         900.000000\n",
       "Name: CIBIL_SCORE_NEW, dtype: float64"
      ]
     },
     "execution_count": 288,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_bnk_info_v3.CIBIL_SCORE_NEW.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cibil_score_bin(row):\n",
    "    if row['CIBIL_SCORE_NEW'] <= 0:\n",
    "        return 1\n",
    "    elif row['CIBIL_SCORE_NEW'] > 0 and row['CIBIL_SCORE_NEW'] <= 300:\n",
    "        return 2\n",
    "    elif row['CIBIL_SCORE_NEW'] > 301 and row['CIBIL_SCORE_NEW'] <= 400:\n",
    "        return 3\n",
    "    elif row['CIBIL_SCORE_NEW'] > 401 and row['CIBIL_SCORE_NEW'] <= 500:\n",
    "        return 4\n",
    "    elif row['CIBIL_SCORE_NEW'] > 501 and row['CIBIL_SCORE_NEW'] <= 600:\n",
    "        return 5\n",
    "    elif row['CIBIL_SCORE_NEW'] > 601 and row['CIBIL_SCORE_NEW'] <= 700:\n",
    "        return 6\n",
    "    elif row['CIBIL_SCORE_NEW'] > 701 and row['CIBIL_SCORE_NEW'] <= 800:\n",
    "        return 7\n",
    "    elif row['CIBIL_SCORE_NEW'] > 801 and row['CIBIL_SCORE_NEW'] <= 900:\n",
    "        return 8\n",
    "    elif row['CIBIL_SCORE_NEW'] > 901:\n",
    "        return 9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v3['CIBIL_SCORE_NEW_BIN'] = final_data_bnk_info_v3.apply(cibil_score_bin, axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {},
   "outputs": [],
   "source": [
    "def address_len(row):\n",
    "    try:\n",
    "        row['ADDRESS1_LEN'] = len(row['ADDRESS1'])\n",
    "    except:\n",
    "        row['ADDRESS1_LEN'] = 0\n",
    "    try:\n",
    "        row['ADDRESS2_LEN'] = len(row['ADDRESS2'])\n",
    "    except:\n",
    "        row['ADDRESS2_LEN'] = 0\n",
    "    try:\n",
    "        row['ADDRESS3_LEN'] = len(row['ADDRESS3'])\n",
    "    except:\n",
    "        row['ADDRESS3_LEN'] = 0\n",
    "        \n",
    "    return row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v4 = final_data_bnk_info_v3.apply(address_len, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "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>PROPNO</th>\n",
       "      <th>AGMTNO</th>\n",
       "      <th>DEALER_CODE</th>\n",
       "      <th>PORTFOLIO</th>\n",
       "      <th>PREPAIDPOSTPAIDFLAG</th>\n",
       "      <th>AVGMOBILEBILLAMOUNTLAST3MON</th>\n",
       "      <th>AVGMOBRECHARGEAMOUNTLAST3MON</th>\n",
       "      <th>INSTALLTIME</th>\n",
       "      <th>LASTPINGTIME</th>\n",
       "      <th>REQUESTTIME</th>\n",
       "      <th>DEALER_TYPE</th>\n",
       "      <th>PRODUCT_CODE</th>\n",
       "      <th>MODEL_CODE</th>\n",
       "      <th>SCHEME_TYPE</th>\n",
       "      <th>LTV</th>\n",
       "      <th>STATE</th>\n",
       "      <th>IMEI_NUMBER</th>\n",
       "      <th>MAKE_CODE</th>\n",
       "      <th>MODEL_DESC</th>\n",
       "      <th>DEALER_CITY</th>\n",
       "      <th>REGISTRATION_TYPE</th>\n",
       "      <th>SCHEME_CODE</th>\n",
       "      <th>CIBIL_HIT</th>\n",
       "      <th>SURROGATE</th>\n",
       "      <th>ACTUAL_LOAN_AMOUNT</th>\n",
       "      <th>CITY</th>\n",
       "      <th>LATESTBALANCE</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>QUALIFICATION</th>\n",
       "      <th>AGE</th>\n",
       "      <th>CIBIL_SCORE</th>\n",
       "      <th>EXISTING_CUSTOMER</th>\n",
       "      <th>SPL_INSURANCE_TYPE</th>\n",
       "      <th>ADDRESS_TYPE</th>\n",
       "      <th>RESIDENT_TYPE</th>\n",
       "      <th>ADDRESS1</th>\n",
       "      <th>ADDRESS2</th>\n",
       "      <th>ADDRESS3</th>\n",
       "      <th>VOTERID</th>\n",
       "      <th>PANNO</th>\n",
       "      <th>DRIVING_LICENSE</th>\n",
       "      <th>PASSPORT</th>\n",
       "      <th>AADHAR</th>\n",
       "      <th>RATION</th>\n",
       "      <th>ACTIVITY_CODE</th>\n",
       "      <th>TAT_HOUR</th>\n",
       "      <th>TAT_DAYS</th>\n",
       "      <th>TAT_DAYS_EXCLUDE_SUNDAY</th>\n",
       "      <th>PAYMENT_TYPE</th>\n",
       "      <th>IFSC_CODE</th>\n",
       "      <th>ELIGIBILITYGRID</th>\n",
       "      <th>ELIGIBILITYGRID_REMARK</th>\n",
       "      <th>IS_MANDATE_REGISTERED</th>\n",
       "      <th>DELAER_NAME</th>\n",
       "      <th>DELAER_CATEGORY</th>\n",
       "      <th>IS_MOBILE</th>\n",
       "      <th>Mobile_active_hours</th>\n",
       "      <th>Mobile_Bill</th>\n",
       "      <th>Mobile_Bill_bin</th>\n",
       "      <th>IS_CIBIL_HIT</th>\n",
       "      <th>SURROGATE_CAT</th>\n",
       "      <th>TICKET_SIZE</th>\n",
       "      <th>CROSS_SELL_INSURANCE</th>\n",
       "      <th>DEALER_CITY_V2</th>\n",
       "      <th>BANK_NAME</th>\n",
       "      <th>MICR_CODE</th>\n",
       "      <th>BANK_BRANCH</th>\n",
       "      <th>BANK_ADDRESS</th>\n",
       "      <th>BANK_CONTACT</th>\n",
       "      <th>BANK_CITY</th>\n",
       "      <th>BANK_DISTRICT</th>\n",
       "      <th>BANK_STATE</th>\n",
       "      <th>DEALER_CUST_CITY</th>\n",
       "      <th>CUST_BANK_CITY_DIFF</th>\n",
       "      <th>AGE_BIN</th>\n",
       "      <th>CIBIL_SCORE_NEW</th>\n",
       "      <th>CIBIL_SCORE_NEW_BIN</th>\n",
       "      <th>ADDRESS1_LEN</th>\n",
       "      <th>ADDRESS2_LEN</th>\n",
       "      <th>ADDRESS3_LEN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3078CD0009160</td>\n",
       "      <td>WB3078CD0009160</td>\n",
       "      <td>CD00910</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-04-23T12:10:07.466Z</td>\n",
       "      <td>2018-04-23T12:14:29.339Z</td>\n",
       "      <td>2018-04-23T20:12:08.774Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0003748</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>68.18</td>\n",
       "      <td>WB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG TV UA43K5002AKXXL</td>\n",
       "      <td>DT1234</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CD_M_0085</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32611.0</td>\n",
       "      <td>Jalpaiguri</td>\n",
       "      <td>190758.16</td>\n",
       "      <td>MALE</td>\n",
       "      <td>SSC</td>\n",
       "      <td>32</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>DUMCHIPARA TEA GARDEN</td>\n",
       "      <td>JATHA LINE.   .</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>22.52</td>\n",
       "      <td>0.94</td>\n",
       "      <td>0.94</td>\n",
       "      <td>ADM</td>\n",
       "      <td>SBIN0002025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "      <td>1.0</td>\n",
       "      <td>GOYAL RADIOS</td>\n",
       "      <td>DD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>Jalpaiguri</td>\n",
       "      <td>STATE BANK OF INDIA</td>\n",
       "      <td>735002505</td>\n",
       "      <td>BIRPARA</td>\n",
       "      <td>PO BIRPARA,JALPAIGURI,WB</td>\n",
       "      <td>0</td>\n",
       "      <td>BIRPARA</td>\n",
       "      <td>JALPAIGURI</td>\n",
       "      <td>WEST BENGAL</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>21</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3078CD0009162</td>\n",
       "      <td>WB3078CD0009162</td>\n",
       "      <td>CD00458</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-04-23T10:08:59.507Z</td>\n",
       "      <td>2018-04-23T15:37:31.502Z</td>\n",
       "      <td>2018-04-23T19:15:05.057Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0007287</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.66</td>\n",
       "      <td>WB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SONY</td>\n",
       "      <td>SONY TV KLV-32R302E IN5</td>\n",
       "      <td>DT1223</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CD_M_0153</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16332.0</td>\n",
       "      <td>Murshidabad</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>GRADUATE</td>\n",
       "      <td>23</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>JHAUBANA NAWDA</td>\n",
       "      <td>JHAUBANA NAWDA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>144.43</td>\n",
       "      <td>6.02</td>\n",
       "      <td>4.02</td>\n",
       "      <td>ADM</td>\n",
       "      <td>SBIN0007104</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "      <td>1.0</td>\n",
       "      <td>SUR SANGAM</td>\n",
       "      <td>DD</td>\n",
       "      <td>0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>Murshidabad</td>\n",
       "      <td>STATE BANK OF INDIA</td>\n",
       "      <td>741002616</td>\n",
       "      <td>TRIMOHINI</td>\n",
       "      <td>DIST MURSHIDABAD,WB 742133</td>\n",
       "      <td>0</td>\n",
       "      <td>TRIMOHINI</td>\n",
       "      <td>MURSHIDABAD</td>\n",
       "      <td>WEST BENGAL</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3078CD0009161</td>\n",
       "      <td>WB3078CD0009161</td>\n",
       "      <td>CD00442</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>FRIDGE</td>\n",
       "      <td>CD0011224</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.65</td>\n",
       "      <td>WB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG FRIDGE RR20N2Y2ZD3/NL</td>\n",
       "      <td>DT1222</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CD_M_0034</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11064.0</td>\n",
       "      <td>Bardhaman</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>12TH</td>\n",
       "      <td>43</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>MATHRUN MONGALKOTE</td>\n",
       "      <td>MATHRUN BARDDHAMAN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>ACH</td>\n",
       "      <td>UBIN0540510</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No eligibility criteria matched</td>\n",
       "      <td>1.0</td>\n",
       "      <td>ROY ELECTRONICS  AND SERVICE CENTRE</td>\n",
       "      <td>DD</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Bardhaman</td>\n",
       "      <td>UNION BANK OF INDIA</td>\n",
       "      <td>713026604</td>\n",
       "      <td>KAICHAR</td>\n",
       "      <td>ATPOST KAICHAR  DIST. BURDWAN  WEST BENGAL  PI...</td>\n",
       "      <td>262236</td>\n",
       "      <td>KAICHAR</td>\n",
       "      <td>BARDHAMAN</td>\n",
       "      <td>WEST BENGAL</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3009CD0000002</td>\n",
       "      <td>KA3009CD0000002</td>\n",
       "      <td>CD01183</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2018-03-17T10:49:16.175Z</td>\n",
       "      <td>2018-03-17T14:48:12.875Z</td>\n",
       "      <td>2018-03-17T19:14:46.949Z</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0002970</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.67</td>\n",
       "      <td>KA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PANASONIC</td>\n",
       "      <td>PANASONIC TV TH-32E200DX</td>\n",
       "      <td>DT1128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CD_M_0038</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10800.0</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>11575.00</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>UNDER GRADUATE</td>\n",
       "      <td>26</td>\n",
       "      <td>726.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RS</td>\n",
       "      <td>RENT</td>\n",
       "      <td>#242 2ND MAIN ROAD VIJAYANANDANAGAR</td>\n",
       "      <td>BANGALORE NORTHBANGALORE  NANDINILAYOUT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>3.21</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.13</td>\n",
       "      <td>ACH</td>\n",
       "      <td>ICIC0002317</td>\n",
       "      <td>7.0</td>\n",
       "      <td>CD/TW -720+ norms met</td>\n",
       "      <td>1.0</td>\n",
       "      <td>E SHOPPE</td>\n",
       "      <td>DS</td>\n",
       "      <td>0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>ICICI BANK LIMITED</td>\n",
       "      <td>560229072</td>\n",
       "      <td>CHANDRA LAYOUT</td>\n",
       "      <td>ICICI BANK LTD., NO.1210,1ST STAGE,2ND PHASE,C...</td>\n",
       "      <td>0</td>\n",
       "      <td>BANGALORE</td>\n",
       "      <td>BANGALORE URBAN</td>\n",
       "      <td>KARNATAKA</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>726.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>35</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3009CD0000011</td>\n",
       "      <td>KA3009CD0000011</td>\n",
       "      <td>CD01216</td>\n",
       "      <td>CD</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DEALER</td>\n",
       "      <td>TV</td>\n",
       "      <td>CD0006206</td>\n",
       "      <td>CDOEM</td>\n",
       "      <td>66.66</td>\n",
       "      <td>KA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SAMSUNG</td>\n",
       "      <td>SAMSUNG TV UA32M4200DRLXL</td>\n",
       "      <td>DT1128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CD_M_0034</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17332.0</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MALE</td>\n",
       "      <td>SSC</td>\n",
       "      <td>23</td>\n",
       "      <td>710.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RS</td>\n",
       "      <td>OWNED</td>\n",
       "      <td>U84, 2 nd main road</td>\n",
       "      <td>swathantrapalya srirampura</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>DISBURSAL_TAT</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>ACH</td>\n",
       "      <td>SBIN0007080</td>\n",
       "      <td>4.0</td>\n",
       "      <td>CD/TW- 650-719 norms met</td>\n",
       "      <td>1.0</td>\n",
       "      <td>VENUS WORLD</td>\n",
       "      <td>DS</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>STATE BANK OF INDIA</td>\n",
       "      <td>560002031</td>\n",
       "      <td>MALLESWARAM</td>\n",
       "      <td>143,MARGOSA ROAD,9TH CROSS,BANGALORE,PIN 560003</td>\n",
       "      <td>0</td>\n",
       "      <td>BANGALORE</td>\n",
       "      <td>BANGALORE URBAN</td>\n",
       "      <td>KARNATAKA</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>710.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>19</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          PROPNO           AGMTNO DEALER_CODE PORTFOLIO  PREPAIDPOSTPAIDFLAG  \\\n",
       "0  3078CD0009160  WB3078CD0009160     CD00910        CD                    0   \n",
       "1  3078CD0009162  WB3078CD0009162     CD00458        CD                    0   \n",
       "2  3078CD0009161  WB3078CD0009161     CD00442        CD                    0   \n",
       "3  3009CD0000002  KA3009CD0000002     CD01183        CD                    0   \n",
       "4  3009CD0000011  KA3009CD0000011     CD01216        CD                    0   \n",
       "\n",
       "   AVGMOBILEBILLAMOUNTLAST3MON  AVGMOBRECHARGEAMOUNTLAST3MON  \\\n",
       "0                          0.0                           0.0   \n",
       "1                          0.0                           0.0   \n",
       "2                          0.0                           0.0   \n",
       "3                          0.0                           0.0   \n",
       "4                          0.0                           0.0   \n",
       "\n",
       "                INSTALLTIME              LASTPINGTIME  \\\n",
       "0  2018-04-23T12:10:07.466Z  2018-04-23T12:14:29.339Z   \n",
       "1  2018-04-23T10:08:59.507Z  2018-04-23T15:37:31.502Z   \n",
       "2                       NaN                       NaN   \n",
       "3  2018-03-17T10:49:16.175Z  2018-03-17T14:48:12.875Z   \n",
       "4                       NaN                       NaN   \n",
       "\n",
       "                REQUESTTIME DEALER_TYPE PRODUCT_CODE MODEL_CODE SCHEME_TYPE  \\\n",
       "0  2018-04-23T20:12:08.774Z      DEALER           TV  CD0003748       CDOEM   \n",
       "1  2018-04-23T19:15:05.057Z      DEALER           TV  CD0007287       CDOEM   \n",
       "2                       NaN      DEALER       FRIDGE  CD0011224       CDOEM   \n",
       "3  2018-03-17T19:14:46.949Z      DEALER           TV  CD0002970       CDOEM   \n",
       "4                       NaN      DEALER           TV  CD0006206       CDOEM   \n",
       "\n",
       "     LTV STATE IMEI_NUMBER  MAKE_CODE                     MODEL_DESC  \\\n",
       "0  68.18    WB         NaN    SAMSUNG      SAMSUNG TV UA43K5002AKXXL   \n",
       "1  66.66    WB         NaN       SONY        SONY TV KLV-32R302E IN5   \n",
       "2  66.65    WB         NaN    SAMSUNG  SAMSUNG FRIDGE RR20N2Y2ZD3/NL   \n",
       "3  66.67    KA         NaN  PANASONIC       PANASONIC TV TH-32E200DX   \n",
       "4  66.66    KA         NaN    SAMSUNG      SAMSUNG TV UA32M4200DRLXL   \n",
       "\n",
       "  DEALER_CITY  REGISTRATION_TYPE SCHEME_CODE CIBIL_HIT SURROGATE  \\\n",
       "0      DT1234                NaN   CD_M_0085         Y       NaN   \n",
       "1      DT1223                NaN   CD_M_0153         Y       NaN   \n",
       "2      DT1222                NaN   CD_M_0034         Y       NaN   \n",
       "3      DT1128                NaN   CD_M_0038         Y       NaN   \n",
       "4      DT1128                NaN   CD_M_0034         Y       NaN   \n",
       "\n",
       "   ACTUAL_LOAN_AMOUNT         CITY  LATESTBALANCE  GENDER   QUALIFICATION  \\\n",
       "0             32611.0   Jalpaiguri      190758.16    MALE             SSC   \n",
       "1             16332.0  Murshidabad            NaN    MALE        GRADUATE   \n",
       "2             11064.0    Bardhaman            NaN    MALE            12TH   \n",
       "3             10800.0    Bangalore       11575.00  FEMALE  UNDER GRADUATE   \n",
       "4             17332.0    Bangalore            NaN    MALE             SSC   \n",
       "\n",
       "   AGE  CIBIL_SCORE  EXISTING_CUSTOMER SPL_INSURANCE_TYPE ADDRESS_TYPE  \\\n",
       "0   32         -1.0                NaN                NaN           RS   \n",
       "1   23         -1.0                NaN                NaN           RS   \n",
       "2   43         -1.0                NaN                NaN           RS   \n",
       "3   26        726.0                NaN                NaN           RS   \n",
       "4   23        710.0                NaN                NaN           RS   \n",
       "\n",
       "  RESIDENT_TYPE                             ADDRESS1  \\\n",
       "0         OWNED                DUMCHIPARA TEA GARDEN   \n",
       "1         OWNED                       JHAUBANA NAWDA   \n",
       "2         OWNED                   MATHRUN MONGALKOTE   \n",
       "3          RENT  #242 2ND MAIN ROAD VIJAYANANDANAGAR   \n",
       "4         OWNED                  U84, 2 nd main road   \n",
       "\n",
       "                                  ADDRESS2 ADDRESS3 VOTERID PANNO  \\\n",
       "0                          JATHA LINE.   .      NaN       N     Y   \n",
       "1                           JHAUBANA NAWDA      NaN       N     N   \n",
       "2                       MATHRUN BARDDHAMAN      NaN       N     N   \n",
       "3  BANGALORE NORTHBANGALORE  NANDINILAYOUT      NaN       N     N   \n",
       "4               swathantrapalya srirampura      NaN       N     N   \n",
       "\n",
       "  DRIVING_LICENSE PASSPORT AADHAR RATION  ACTIVITY_CODE  TAT_HOUR  TAT_DAYS  \\\n",
       "0               N        N      Y      N  DISBURSAL_TAT     22.52      0.94   \n",
       "1               N        N      Y      N  DISBURSAL_TAT    144.43      6.02   \n",
       "2               N        N      Y      N  DISBURSAL_TAT      0.00      0.00   \n",
       "3               N        N      Y      N  DISBURSAL_TAT      3.21      0.13   \n",
       "4               N        N      Y      N  DISBURSAL_TAT      3.00      0.13   \n",
       "\n",
       "   TAT_DAYS_EXCLUDE_SUNDAY PAYMENT_TYPE    IFSC_CODE  ELIGIBILITYGRID  \\\n",
       "0                     0.94          ADM  SBIN0002025              NaN   \n",
       "1                     4.02          ADM  SBIN0007104              NaN   \n",
       "2                     0.00          ACH  UBIN0540510              NaN   \n",
       "3                     0.13          ACH  ICIC0002317              7.0   \n",
       "4                     0.00          ACH  SBIN0007080              4.0   \n",
       "\n",
       "            ELIGIBILITYGRID_REMARK  IS_MANDATE_REGISTERED  \\\n",
       "0  No eligibility criteria matched                    1.0   \n",
       "1  No eligibility criteria matched                    1.0   \n",
       "2  No eligibility criteria matched                    1.0   \n",
       "3            CD/TW -720+ norms met                    1.0   \n",
       "4         CD/TW- 650-719 norms met                    1.0   \n",
       "\n",
       "                           DELAER_NAME DELAER_CATEGORY  IS_MOBILE  \\\n",
       "0                         GOYAL RADIOS              DD          0   \n",
       "1                           SUR SANGAM              DD          0   \n",
       "2  ROY ELECTRONICS  AND SERVICE CENTRE              DD          0   \n",
       "3                             E SHOPPE              DS          0   \n",
       "4                          VENUS WORLD              DS          0   \n",
       "\n",
       "   Mobile_active_hours  Mobile_Bill  Mobile_Bill_bin  IS_CIBIL_HIT  \\\n",
       "0                  0.0          0.0                0             1   \n",
       "1                  5.0          0.0                0             1   \n",
       "2                  NaN          0.0                0             1   \n",
       "3                  4.0          0.0                0             1   \n",
       "4                  NaN          0.0                0             1   \n",
       "\n",
       "   SURROGATE_CAT  TICKET_SIZE  CROSS_SELL_INSURANCE DEALER_CITY_V2  \\\n",
       "0              0           10                     0     Jalpaiguri   \n",
       "1              0            7                     0    Murshidabad   \n",
       "2              0            4                     0      Bardhaman   \n",
       "3              0            3                     0      Bangalore   \n",
       "4              0            8                     0      Bangalore   \n",
       "\n",
       "             BANK_NAME  MICR_CODE     BANK_BRANCH  \\\n",
       "0  STATE BANK OF INDIA  735002505         BIRPARA   \n",
       "1  STATE BANK OF INDIA  741002616       TRIMOHINI   \n",
       "2  UNION BANK OF INDIA  713026604         KAICHAR   \n",
       "3   ICICI BANK LIMITED  560229072  CHANDRA LAYOUT   \n",
       "4  STATE BANK OF INDIA  560002031     MALLESWARAM   \n",
       "\n",
       "                                        BANK_ADDRESS BANK_CONTACT  BANK_CITY  \\\n",
       "0                           PO BIRPARA,JALPAIGURI,WB            0    BIRPARA   \n",
       "1                         DIST MURSHIDABAD,WB 742133            0  TRIMOHINI   \n",
       "2  ATPOST KAICHAR  DIST. BURDWAN  WEST BENGAL  PI...       262236    KAICHAR   \n",
       "3  ICICI BANK LTD., NO.1210,1ST STAGE,2ND PHASE,C...            0  BANGALORE   \n",
       "4    143,MARGOSA ROAD,9TH CROSS,BANGALORE,PIN 560003            0  BANGALORE   \n",
       "\n",
       "     BANK_DISTRICT   BANK_STATE  DEALER_CUST_CITY  CUST_BANK_CITY_DIFF  \\\n",
       "0       JALPAIGURI  WEST BENGAL                 1                    0   \n",
       "1      MURSHIDABAD  WEST BENGAL                 1                    0   \n",
       "2        BARDHAMAN  WEST BENGAL                 1                    0   \n",
       "3  BANGALORE URBAN    KARNATAKA                 1                    1   \n",
       "4  BANGALORE URBAN    KARNATAKA                 1                    1   \n",
       "\n",
       "   AGE_BIN  CIBIL_SCORE_NEW  CIBIL_SCORE_NEW_BIN  ADDRESS1_LEN  ADDRESS2_LEN  \\\n",
       "0      5.0              0.0                  1.0            21            15   \n",
       "1      1.0              0.0                  1.0            14            14   \n",
       "2      8.0              0.0                  1.0            18            18   \n",
       "3      2.0            726.0                  7.0            35            39   \n",
       "4      1.0            710.0                  7.0            19            26   \n",
       "\n",
       "   ADDRESS3_LEN  \n",
       "0             0  \n",
       "1             0  \n",
       "2             0  \n",
       "3             0  \n",
       "4             0  "
      ]
     },
     "execution_count": 309,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_bnk_info_v4.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v3.to_csv(\"D:\\CD\\CD_VARIABLES_Stage3_V3.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v4.to_csv(\"D:\\CD\\CD_VARIABLES_Stage3_V4.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\5029874\\AppData\\Local\\Continuum\\anaconda3\\envs\\trainingenv\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3020: DtypeWarning: Columns (16,38,69) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "final_data_bnk_info_v4 = pd.read_csv(\"D:\\CD\\CD_VARIABLES_Stage3_V4.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PROPNO                          676014\n",
       "AGMTNO                          676014\n",
       "DEALER_CODE                     676014\n",
       "PORTFOLIO                       676014\n",
       "PREPAIDPOSTPAIDFLAG             676014\n",
       "AVGMOBILEBILLAMOUNTLAST3MON     676014\n",
       "AVGMOBRECHARGEAMOUNTLAST3MON    676014\n",
       "INSTALLTIME                     309420\n",
       "LASTPINGTIME                    309420\n",
       "REQUESTTIME                     309420\n",
       "DEALER_TYPE                     676014\n",
       "PRODUCT_CODE                    676014\n",
       "MODEL_CODE                      676014\n",
       "SCHEME_TYPE                     676014\n",
       "LTV                             676014\n",
       "STATE                           676014\n",
       "IMEI_NUMBER                     329194\n",
       "MAKE_CODE                       676014\n",
       "MODEL_DESC                      676014\n",
       "MODEL_DESC_V2_MAKE              676014\n",
       "DEALER_CITY                     676014\n",
       "REGISTRATION_TYPE                    0\n",
       "SCHEME_CODE                     676014\n",
       "CIBIL_HIT                       676014\n",
       "SURROGATE                       303938\n",
       "ACTUAL_LOAN_AMOUNT              676014\n",
       "CITY                            676014\n",
       "LATESTBALANCE                   101382\n",
       "GENDER                          675978\n",
       "QUALIFICATION                   676014\n",
       "                                 ...  \n",
       "ELIGIBILITYGRID                 364390\n",
       "ELIGIBILITYGRID_REMARK          675009\n",
       "IS_MANDATE_REGISTERED           676014\n",
       "DELAER_NAME                     668958\n",
       "DELAER_CATEGORY                 668958\n",
       "IS_MOBILE                       676014\n",
       "Mobile_active_hours             309420\n",
       "Mobile_Bill                     676014\n",
       "Mobile_Bill_bin                 676014\n",
       "IS_CIBIL_HIT                    676014\n",
       "SURROGATE_CAT                   676014\n",
       "TICKET_SIZE                     676014\n",
       "CROSS_SELL_INSURANCE            676014\n",
       "DEALER_CITY_V2                  676014\n",
       "BANK_NAME                       674841\n",
       "MICR_CODE                       555443\n",
       "BANK_BRANCH                     674792\n",
       "BANK_ADDRESS                    674817\n",
       "BANK_CONTACT                    668309\n",
       "BANK_CITY                       676014\n",
       "BANK_DISTRICT                   674841\n",
       "BANK_STATE                      674841\n",
       "DEALER_CUST_CITY                676014\n",
       "CUST_BANK_CITY_DIFF             676014\n",
       "AGE_BIN                         624510\n",
       "CIBIL_SCORE_NEW                 672831\n",
       "CIBIL_SCORE_NEW_BIN             668811\n",
       "ADDRESS1_LEN                    676014\n",
       "ADDRESS2_LEN                    676014\n",
       "ADDRESS3_LEN                    676014\n",
       "Length: 81, dtype: int64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_bnk_info_v4.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "login_disp_p1 = pd.read_excel(r\"D:\\CD\\14062019123719ToAnalytics_p1.xlsx\")\n",
    "login_disp_p2 = pd.read_excel(r\"D:\\CD\\14062019123719ToAnalytics_p2.xlsx\")\n",
    "login_disp_p3 = pd.read_excel(r\"D:\\CD\\14062019123719ToAnalytics_p3.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "login_disp_p1 = login_disp_p1.loc[~login_disp_p1['agreementNumber'].isnull()]\n",
    "login_disp_p2 = login_disp_p2.loc[~login_disp_p2['agreementNumber'].isnull()]\n",
    "login_disp_p3 = login_disp_p3.loc[~login_disp_p3['agreementNumber'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "login_disp = login_disp_p1\n",
    "login_disp = login_disp.append(login_disp_p2)\n",
    "login_disp = login_disp.append(login_disp_p3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(256820, 211806, 165702)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(len(login_disp_p1._id.unique()), len(login_disp_p2._id.unique()) ,len(login_disp_p3._id.unique()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "login_disp.columns = ['PROPNO', 'AGMTNO_v1', 'applAssetCtg', 'applAssetMake','D_LOGIN_TIME', \n",
    "                      'LOGIN_dateTime', 'croApprovedDate', 'loanDisbDate','residenceCity', 'Cust_bankName', 'bankIFSCCode']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "634328"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(login_disp.PROPNO.unique()) #drop_duplicates().count() #770460"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PROPNO             634328\n",
       "AGMTNO_v1          634328\n",
       "applAssetCtg       634279\n",
       "applAssetMake      634279\n",
       "D_LOGIN_TIME       634328\n",
       "LOGIN_dateTime     634328\n",
       "croApprovedDate    404919\n",
       "loanDisbDate       634328\n",
       "residenceCity      634327\n",
       "Cust_bankName      600062\n",
       "bankIFSCCode       600034\n",
       "dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "login_disp.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "login_disp.to_csv(r\"D:\\CD\\login_disp.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'login_disp' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-31-b1bc5945fa39>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mgc\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[1;32mdel\u001b[0m \u001b[0mlogin_disp\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[0mgc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcollect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'login_disp' is not defined"
     ]
    }
   ],
   "source": [
    "import gc\n",
    "del login_disp\n",
    "gc.collect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    " final_data_bnk_info_v5 = pd.merge(final_data_bnk_info_v4, login_disp, on=['PROPNO'], how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PROPNO                          676014\n",
       "AGMTNO                          676014\n",
       "DEALER_CODE                     676014\n",
       "PORTFOLIO                       676014\n",
       "PREPAIDPOSTPAIDFLAG             676014\n",
       "AVGMOBILEBILLAMOUNTLAST3MON     676014\n",
       "AVGMOBRECHARGEAMOUNTLAST3MON    676014\n",
       "INSTALLTIME                     309420\n",
       "LASTPINGTIME                    309420\n",
       "REQUESTTIME                     309420\n",
       "DEALER_TYPE                     676014\n",
       "PRODUCT_CODE                    676014\n",
       "MODEL_CODE                      676014\n",
       "SCHEME_TYPE                     676014\n",
       "LTV                             676014\n",
       "STATE                           676014\n",
       "IMEI_NUMBER                     329194\n",
       "MAKE_CODE                       676014\n",
       "MODEL_DESC                      676014\n",
       "MODEL_DESC_V2_MAKE              676014\n",
       "DEALER_CITY                     676014\n",
       "REGISTRATION_TYPE                    0\n",
       "SCHEME_CODE                     676014\n",
       "CIBIL_HIT                       676014\n",
       "SURROGATE                       303938\n",
       "ACTUAL_LOAN_AMOUNT              676014\n",
       "CITY                            676014\n",
       "LATESTBALANCE                   101382\n",
       "GENDER                          675978\n",
       "QUALIFICATION                   676014\n",
       "                                 ...  \n",
       "SURROGATE_CAT                   676014\n",
       "TICKET_SIZE                     676014\n",
       "CROSS_SELL_INSURANCE            676014\n",
       "DEALER_CITY_V2                  676014\n",
       "BANK_NAME                       674841\n",
       "MICR_CODE                       555443\n",
       "BANK_BRANCH                     674792\n",
       "BANK_ADDRESS                    674817\n",
       "BANK_CONTACT                    668309\n",
       "BANK_CITY                       676014\n",
       "BANK_DISTRICT                   674841\n",
       "BANK_STATE                      674841\n",
       "DEALER_CUST_CITY                676014\n",
       "CUST_BANK_CITY_DIFF             676014\n",
       "AGE_BIN                         624510\n",
       "CIBIL_SCORE_NEW                 672831\n",
       "CIBIL_SCORE_NEW_BIN             668811\n",
       "ADDRESS1_LEN                    676014\n",
       "ADDRESS2_LEN                    676014\n",
       "ADDRESS3_LEN                    676014\n",
       "AGMTNO_v1                       637944\n",
       "applAssetCtg                    637894\n",
       "applAssetMake                   637894\n",
       "D_LOGIN_TIME                    637944\n",
       "LOGIN_dateTime                  637944\n",
       "croApprovedDate                 407262\n",
       "loanDisbDate                    637944\n",
       "residenceCity                   637943\n",
       "Cust_bankName                   603536\n",
       "bankIFSCCode                    603508\n",
       "Length: 91, dtype: int64"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_bnk_info_v5.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "bank_class_df = pd.read_excel(r\"D:/CD/IFSC_CODE/Bank_list_n _classification.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "import io\n",
    "buffer = io.StringIO()\n",
    "final_data_bnk_info_v6.info(buf=buffer)\n",
    "s = buffer.getvalue()\n",
    "pd.DataFrame(s.split('\\n')).iloc[3:99,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "final_data_bnk_info_v6 = pd.merge(final_data_bnk_info_v5, bank_class_df, how='left', left_on=['BANK_NAME'], right_on=['Bank_Name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 676014 entries, 0 to 676013\n",
      "Data columns (total 93 columns):\n",
      "PROPNO                          676014 non-null object\n",
      "AGMTNO                          676014 non-null object\n",
      "DEALER_CODE                     676014 non-null object\n",
      "PORTFOLIO                       676014 non-null object\n",
      "PREPAIDPOSTPAIDFLAG             676014 non-null int64\n",
      "AVGMOBILEBILLAMOUNTLAST3MON     676014 non-null float64\n",
      "AVGMOBRECHARGEAMOUNTLAST3MON    676014 non-null float64\n",
      "INSTALLTIME                     309420 non-null object\n",
      "LASTPINGTIME                    309420 non-null object\n",
      "REQUESTTIME                     309420 non-null object\n",
      "DEALER_TYPE                     676014 non-null object\n",
      "PRODUCT_CODE                    676014 non-null object\n",
      "MODEL_CODE                      676014 non-null object\n",
      "SCHEME_TYPE                     676014 non-null object\n",
      "LTV                             676014 non-null float64\n",
      "STATE                           676014 non-null object\n",
      "IMEI_NUMBER                     329194 non-null object\n",
      "MAKE_CODE                       676014 non-null object\n",
      "MODEL_DESC                      676014 non-null object\n",
      "MODEL_DESC_V2_MAKE              676014 non-null object\n",
      "DEALER_CITY                     676014 non-null object\n",
      "REGISTRATION_TYPE               0 non-null float64\n",
      "SCHEME_CODE                     676014 non-null object\n",
      "CIBIL_HIT                       676014 non-null object\n",
      "SURROGATE                       303938 non-null object\n",
      "ACTUAL_LOAN_AMOUNT              676014 non-null int64\n",
      "CITY                            676014 non-null object\n",
      "LATESTBALANCE                   101382 non-null float64\n",
      "GENDER                          675978 non-null object\n",
      "QUALIFICATION                   676014 non-null object\n",
      "AGE                             676014 non-null int64\n",
      "CIBIL_SCORE                     672831 non-null float64\n",
      "EXISTING_CUSTOMER               0 non-null float64\n",
      "SPL_INSURANCE_TYPE              388106 non-null object\n",
      "ADDRESS_TYPE                    676014 non-null object\n",
      "RESIDENT_TYPE                   671066 non-null object\n",
      "ADDRESS1                        676014 non-null object\n",
      "ADDRESS2                        595251 non-null object\n",
      "ADDRESS3                        17 non-null object\n",
      "VOTERID                         676014 non-null object\n",
      "PANNO                           676014 non-null object\n",
      "DRIVING_LICENSE                 676014 non-null object\n",
      "PASSPORT                        676014 non-null object\n",
      "AADHAR                          676014 non-null object\n",
      "RATION                          676014 non-null object\n",
      "ACTIVITY_CODE                   676014 non-null object\n",
      "TAT_HOUR                        676014 non-null float64\n",
      "TAT_DAYS                        676014 non-null float64\n",
      "TAT_DAYS_EXCLUDE_SUNDAY         676014 non-null float64\n",
      "PAYMENT_TYPE                    676014 non-null object\n",
      "IFSC_CODE                       675984 non-null object\n",
      "ELIGIBILITYGRID                 364390 non-null float64\n",
      "ELIGIBILITYGRID_REMARK          675009 non-null object\n",
      "IS_MANDATE_REGISTERED           676014 non-null int64\n",
      "DELAER_NAME                     668958 non-null object\n",
      "DELAER_CATEGORY                 668958 non-null object\n",
      "IS_MOBILE                       676014 non-null int64\n",
      "Mobile_active_hours             309420 non-null float64\n",
      "Mobile_Bill                     676014 non-null float64\n",
      "Mobile_Bill_bin                 676014 non-null int64\n",
      "IS_CIBIL_HIT                    676014 non-null int64\n",
      "SURROGATE_CAT                   676014 non-null int64\n",
      "TICKET_SIZE                     676014 non-null int64\n",
      "CROSS_SELL_INSURANCE            676014 non-null int64\n",
      "DEALER_CITY_V2                  676014 non-null object\n",
      "BANK_NAME                       674841 non-null object\n",
      "MICR_CODE                       555443 non-null object\n",
      "BANK_BRANCH                     674792 non-null object\n",
      "BANK_ADDRESS                    674817 non-null object\n",
      "BANK_CONTACT                    668309 non-null object\n",
      "BANK_CITY                       676014 non-null object\n",
      "BANK_DISTRICT                   674841 non-null object\n",
      "BANK_STATE                      674841 non-null object\n",
      "DEALER_CUST_CITY                676014 non-null int64\n",
      "CUST_BANK_CITY_DIFF             676014 non-null int64\n",
      "AGE_BIN                         624510 non-null float64\n",
      "CIBIL_SCORE_NEW                 672831 non-null float64\n",
      "CIBIL_SCORE_NEW_BIN             668811 non-null float64\n",
      "ADDRESS1_LEN                    676014 non-null int64\n",
      "ADDRESS2_LEN                    676014 non-null int64\n",
      "ADDRESS3_LEN                    676014 non-null int64\n",
      "AGMTNO_v1                       637944 non-null object\n",
      "applAssetCtg                    637894 non-null object\n",
      "applAssetMake                   637894 non-null object\n",
      "D_LOGIN_TIME                    637944 non-null datetime64[ns]\n",
      "LOGIN_dateTime                  637944 non-null object\n",
      "croApprovedDate                 407262 non-null object\n",
      "loanDisbDate                    637944 non-null datetime64[ns]\n",
      "residenceCity                   637943 non-null object\n",
      "Cust_bankName                   603536 non-null object\n",
      "bankIFSCCode                    603508 non-null object\n",
      "Bank_Name                       588394 non-null object\n",
      "Bank_Type                       588394 non-null object\n",
      "dtypes: datetime64[ns](2), float64(16), int64(15), object(60)\n",
      "memory usage: 484.8+ MB\n"
     ]
    }
   ],
   "source": [
    "final_data_bnk_info_v6.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v6['Actual_TAT_Days'] = final_data_bnk_info_v6.apply(lambda x: (x['loanDisbDate'] - x['D_LOGIN_TIME']).days ,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "def month_bin(row):\n",
    "    mont = row['loanDisbDate'].month\n",
    "    if mont <= 10:\n",
    "        return 1\n",
    "    elif mont > 10 and mont <= 20:\n",
    "        return 2\n",
    "    else:\n",
    "        return 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v6['Disp_Month_bin'] = final_data_bnk_info_v6.apply(month_bin, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mark_weenend(row):\n",
    "    week = row['D_LOGIN_TIME'].weekday()\n",
    "    if week < 5:\n",
    "        return 0\n",
    "    else:\n",
    "        return 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v6['IS_WEEKEND'] = final_data_bnk_info_v6.apply(mark_weenend, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PROPNO                          676010\n",
       "AGMTNO                          676010\n",
       "DEALER_CODE                     676010\n",
       "PORTFOLIO                       676010\n",
       "PREPAIDPOSTPAIDFLAG             676010\n",
       "AVGMOBILEBILLAMOUNTLAST3MON     676010\n",
       "AVGMOBRECHARGEAMOUNTLAST3MON    676010\n",
       "INSTALLTIME                     309417\n",
       "LASTPINGTIME                    309417\n",
       "REQUESTTIME                     309417\n",
       "DEALER_TYPE                     676010\n",
       "PRODUCT_CODE                    676010\n",
       "MODEL_CODE                      676010\n",
       "SCHEME_TYPE                     676010\n",
       "LTV                             676010\n",
       "STATE                           676010\n",
       "IMEI_NUMBER                     329192\n",
       "MAKE_CODE                       676010\n",
       "MODEL_DESC                      676010\n",
       "MODEL_DESC_V2_MAKE              676010\n",
       "DEALER_CITY                     676010\n",
       "REGISTRATION_TYPE                    0\n",
       "SCHEME_CODE                     676010\n",
       "CIBIL_HIT                       676010\n",
       "SURROGATE                       303937\n",
       "ACTUAL_LOAN_AMOUNT              676010\n",
       "CITY                            676010\n",
       "LATESTBALANCE                   101380\n",
       "GENDER                          675974\n",
       "QUALIFICATION                   676010\n",
       "                                 ...  \n",
       "MICR_CODE                       555439\n",
       "BANK_BRANCH                     674788\n",
       "BANK_ADDRESS                    674813\n",
       "BANK_CONTACT                    668305\n",
       "BANK_CITY                       676010\n",
       "BANK_DISTRICT                   674837\n",
       "BANK_STATE                      674837\n",
       "DEALER_CUST_CITY                676010\n",
       "CUST_BANK_CITY_DIFF             676010\n",
       "AGE_BIN                         624506\n",
       "CIBIL_SCORE_NEW                 672827\n",
       "CIBIL_SCORE_NEW_BIN             668807\n",
       "ADDRESS1_LEN                    676010\n",
       "ADDRESS2_LEN                    676010\n",
       "ADDRESS3_LEN                    676010\n",
       "AGMTNO_v1                       637940\n",
       "applAssetCtg                    637890\n",
       "applAssetMake                   637890\n",
       "D_LOGIN_TIME                    637940\n",
       "LOGIN_dateTime                  637940\n",
       "croApprovedDate                 407258\n",
       "loanDisbDate                    637940\n",
       "residenceCity                   637939\n",
       "Cust_bankName                   603532\n",
       "bankIFSCCode                    603504\n",
       "Bank_Name                       588394\n",
       "Bank_Type                       588394\n",
       "Actual_TAT_Days                 637940\n",
       "Disp_Month_bin                  676010\n",
       "IS_WEEKEND                      676010\n",
       "Length: 96, dtype: int64"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_bnk_info_v6.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v6 = final_data_bnk_info_v6.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v6.to_csv(\"D:\\CD\\CD_VARIABLES_Stage3_V7.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\5029874\\AppData\\Local\\Continuum\\anaconda3\\envs\\trainingenv\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3020: DtypeWarning: Columns (17) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "final_data_bnk_info_v6 = pd.read_csv(\"D:\\CD\\CD_VARIABLES_Stage3_V5.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_bnk_info_v6['Mobile_active_hours'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v6['Mobile_active_hours'] = final_data_bnk_info_v6['Mobile_active_hours'].fillna(value=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_data_bnk_info_v6.to_csv(\"D:\\CD\\CD_VARIABLES_Stage3_V6.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PROPNO', 'AGMTNO', 'DEALER_CODE', 'PORTFOLIO', 'PREPAIDPOSTPAIDFLAG',\n",
       "       'AVGMOBILEBILLAMOUNTLAST3MON', 'AVGMOBRECHARGEAMOUNTLAST3MON',\n",
       "       'INSTALLTIME', 'LASTPINGTIME', 'REQUESTTIME', 'DEALER_TYPE',\n",
       "       'PRODUCT_CODE', 'MODEL_CODE', 'SCHEME_TYPE', 'LTV', 'STATE',\n",
       "       'IMEI_NUMBER', 'MAKE_CODE', 'MODEL_DESC', 'MODEL_DESC_V2_MAKE',\n",
       "       'DEALER_CITY', 'REGISTRATION_TYPE', 'SCHEME_CODE', 'CIBIL_HIT',\n",
       "       'SURROGATE', 'ACTUAL_LOAN_AMOUNT', 'CITY', 'LATESTBALANCE', 'GENDER',\n",
       "       'QUALIFICATION', 'AGE', 'CIBIL_SCORE', 'EXISTING_CUSTOMER',\n",
       "       'SPL_INSURANCE_TYPE', 'ADDRESS_TYPE', 'RESIDENT_TYPE', 'ADDRESS1',\n",
       "       'ADDRESS2', 'ADDRESS3', 'VOTERID', 'PANNO', 'DRIVING_LICENSE',\n",
       "       'PASSPORT', 'AADHAR', 'RATION', 'ACTIVITY_CODE', 'TAT_HOUR', 'TAT_DAYS',\n",
       "       'TAT_DAYS_EXCLUDE_SUNDAY', 'PAYMENT_TYPE', 'IFSC_CODE',\n",
       "       'ELIGIBILITYGRID', 'ELIGIBILITYGRID_REMARK', 'IS_MANDATE_REGISTERED',\n",
       "       'DELAER_NAME', 'DELAER_CATEGORY', 'IS_MOBILE', 'Mobile_active_hours',\n",
       "       'Mobile_Bill', 'Mobile_Bill_bin', 'IS_CIBIL_HIT', 'SURROGATE_CAT',\n",
       "       'TICKET_SIZE', 'CROSS_SELL_INSURANCE', 'DEALER_CITY_V2', 'BANK_NAME',\n",
       "       'MICR_CODE', 'BANK_BRANCH', 'BANK_ADDRESS', 'BANK_CONTACT', 'BANK_CITY',\n",
       "       'BANK_DISTRICT', 'BANK_STATE', 'DEALER_CUST_CITY',\n",
       "       'CUST_BANK_CITY_DIFF', 'AGE_BIN', 'CIBIL_SCORE_NEW',\n",
       "       'CIBIL_SCORE_NEW_BIN', 'ADDRESS1_LEN', 'ADDRESS2_LEN', 'ADDRESS3_LEN',\n",
       "       'AGMTNO_v1', 'applAssetCtg', 'applAssetMake', 'D_LOGIN_TIME',\n",
       "       'LOGIN_dateTime', 'croApprovedDate', 'loanDisbDate', 'residenceCity',\n",
       "       'Cust_bankName', 'bankIFSCCode', 'Bank_Name', 'Bank_Type',\n",
       "       'Actual_TAT_Days', 'Disp_Month_bin', 'IS_WEEKEND'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data_bnk_info_v6.columns"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "final_data_bnk_info_v6.loc[final_data_bnk_info_v5['BANK_NAME'].isnull() & final_data_bnk_info_v5['bankIFSCCode'].isnull()]"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "final_data_bnk_info_v3.loc[final_data_bnk_info_v3.BANK_BRANCH.isnull()][['IFSC_CODE']].to_csv(\"D:\\CD\\missingIFSC_v2.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\5029874\\AppData\\Local\\Continuum\\anaconda3\\envs\\trainingenv\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3020: DtypeWarning: Columns (16,38,69) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "final_new = pd.read_csv(\"D:\\CD\\CD_VARIABLES_Stage3_V7_v1.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PROPNO', 'AGMTNO', 'DEALER_CODE', 'PORTFOLIO', 'PREPAIDPOSTPAIDFLAG',\n",
       "       'AVGMOBILEBILLAMOUNTLAST3MON', 'AVGMOBRECHARGEAMOUNTLAST3MON',\n",
       "       'INSTALLTIME', 'LASTPINGTIME', 'REQUESTTIME', 'DEALER_TYPE',\n",
       "       'PRODUCT_CODE', 'MODEL_CODE', 'SCHEME_TYPE', 'LTV', 'STATE',\n",
       "       'IMEI_NUMBER', 'MAKE_CODE', 'MODEL_DESC', 'MODEL_DESC_V2_MAKE',\n",
       "       'DEALER_CITY', 'REGISTRATION_TYPE', 'SCHEME_CODE', 'CIBIL_HIT',\n",
       "       'SURROGATE', 'ACTUAL_LOAN_AMOUNT', 'CITY', 'LATESTBALANCE', 'GENDER',\n",
       "       'QUALIFICATION', 'AGE', 'CIBIL_SCORE', 'EXISTING_CUSTOMER',\n",
       "       'SPL_INSURANCE_TYPE', 'ADDRESS_TYPE', 'RESIDENT_TYPE', 'ADDRESS1',\n",
       "       'ADDRESS2', 'ADDRESS3', 'VOTERID', 'PANNO', 'DRIVING_LICENSE',\n",
       "       'PASSPORT', 'AADHAR', 'RATION', 'ACTIVITY_CODE', 'TAT_HOUR', 'TAT_DAYS',\n",
       "       'TAT_DAYS_EXCLUDE_SUNDAY', 'PAYMENT_TYPE', 'IFSC_CODE',\n",
       "       'ELIGIBILITYGRID', 'ELIGIBILITYGRID_REMARK', 'IS_MANDATE_REGISTERED',\n",
       "       'DELAER_NAME', 'DELAER_CATEGORY', 'IS_MOBILE', 'Mobile_active_hours',\n",
       "       'Mobile_Bill', 'Mobile_Bill_bin', 'IS_CIBIL_HIT', 'SURROGATE_CAT',\n",
       "       'TICKET_SIZE', 'CROSS_SELL_INSURANCE', 'DEALER_CITY_V2', 'BANK_NAME',\n",
       "       'MICR_CODE', 'BANK_BRANCH', 'BANK_ADDRESS', 'BANK_CONTACT', 'BANK_CITY',\n",
       "       'BANK_DISTRICT', 'BANK_STATE', 'DEALER_CUST_CITY',\n",
       "       'CUST_BANK_CITY_DIFF', 'AGE_BIN', 'CIBIL_SCORE_NEW',\n",
       "       'CIBIL_SCORE_NEW_BIN', 'ADDRESS1_LEN', 'ADDRESS2_LEN', 'ADDRESS3_LEN',\n",
       "       'AGMTNO_v1', 'applAssetCtg', 'applAssetMake', 'D_LOGIN_TIME',\n",
       "       'LOGIN_dateTime', 'croApprovedDate', 'loanDisbDate', 'residenceCity',\n",
       "       'Cust_bankName', 'bankIFSCCode', 'Bank_Name', 'Bank_Type',\n",
       "       'Actual_TAT_Days', 'Disp_Month_bin', 'IS_WEEKEND', 'Processing Unit'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_new.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "38070"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_new['loanDisbDate'].isnull().sum()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "final_new.loc[final_new['loanDisbDate'] <= datetime.strptime('15/03/2010', \"%d/%m/%Y\").date()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "query2 = \"SELECT DISTINCT AGREEMENTNUMBER, \\\n",
    "DATEOFENQUIRY, \\\n",
    "ENQUIRINGMEMBERSHORTNAME, \\\n",
    "ENQUIRYPURPOSE \\\n",
    "FROM \\\n",
    "BIUSR.TBL_TRN_CIBIL_IQ_DETAILS \\\n",
    "WHERE ENQUIRINGMEMBERSHORTNAME = 'TVS CREDIT'\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "Data2 = pd.read_sql(query2, con=connection, chunksize=40000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "data2 = pd.concat([chunk for chunk in Data2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "data2.to_csv(\"D:\\CD\\EXisting_Cust.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data2.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_new.loc[final_new['loanDisbDate'].isnull()]"
   ]
  }
 ],
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