{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "from datetime import datetime\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Unknown string format",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32mC:\\Users\\sphulse\\Anaconda\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py\u001b[0m in \u001b[0;36m_convert_listlike\u001b[1;34m(arg, box, format, name, tz)\u001b[0m\n\u001b[0;32m    443\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 444\u001b[1;33m                 \u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtz\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtslib\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdatetime_to_datetime64\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    445\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mDatetimeIndex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_simple_new\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtz\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtz\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.datetime_to_datetime64 (pandas\\_libs\\tslib.c:33275)\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: Unrecognized value type: <class 'str'>",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-27-234cad89fdd8>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mpres_data\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"presidents.csv\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mpres_data\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Date'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_datetime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpres_data\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Birth date'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minfer_datetime_format\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mC:\\Users\\sphulse\\Anaconda\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py\u001b[0m in \u001b[0;36mto_datetime\u001b[1;34m(arg, errors, dayfirst, yearfirst, utc, box, format, exact, unit, infer_datetime_format, origin)\u001b[0m\n\u001b[0;32m    507\u001b[0m     \u001b[1;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marg\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mABCSeries\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    508\u001b[0m         \u001b[1;32mfrom\u001b[0m \u001b[0mpandas\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mSeries\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 509\u001b[1;33m         \u001b[0mvalues\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_convert_listlike\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_values\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    510\u001b[0m         \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mSeries\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0marg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0marg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    511\u001b[0m     \u001b[1;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marg\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mABCDataFrame\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mMutableMapping\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;32mC:\\Users\\sphulse\\Anaconda\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py\u001b[0m in \u001b[0;36m_convert_listlike\u001b[1;34m(arg, box, format, name, tz)\u001b[0m\n\u001b[0;32m    445\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mDatetimeIndex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_simple_new\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtz\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtz\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    446\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mValueError\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 447\u001b[1;33m                 \u001b[1;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    448\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    449\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0marg\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\sphulse\\Anaconda\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py\u001b[0m in \u001b[0;36m_convert_listlike\u001b[1;34m(arg, box, format, name, tz)\u001b[0m\n\u001b[0;32m    433\u001b[0m                     \u001b[0mdayfirst\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdayfirst\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    434\u001b[0m                     \u001b[0myearfirst\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0myearfirst\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 435\u001b[1;33m                     \u001b[0mrequire_iso8601\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequire_iso8601\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    436\u001b[0m                 )\n\u001b[0;32m    437\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.array_to_datetime (pandas\\_libs\\tslib.c:46617)\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.array_to_datetime (pandas\\_libs\\tslib.c:46233)\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.array_to_datetime (pandas\\_libs\\tslib.c:46122)\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.parse_datetime_string (pandas\\_libs\\tslib.c:35351)\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\sphulse\\Anaconda\\lib\\site-packages\\dateutil\\parser.py\u001b[0m in \u001b[0;36mparse\u001b[1;34m(timestr, parserinfo, **kwargs)\u001b[0m\n\u001b[0;32m   1166\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mparser\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparserinfo\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparse\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtimestr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1167\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1168\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mDEFAULTPARSER\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparse\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtimestr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1169\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1170\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\sphulse\\Anaconda\\lib\\site-packages\\dateutil\\parser.py\u001b[0m in \u001b[0;36mparse\u001b[1;34m(self, timestr, default, ignoretz, tzinfos, **kwargs)\u001b[0m\n\u001b[0;32m    557\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    558\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mres\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 559\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Unknown string format\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    560\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    561\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mres\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: Unknown string format"
     ]
    }
   ],
   "source": [
    "pres_data=pd.read_csv(\"presidents1.csv\")\n",
    "\n",
    "pres_data['Date'] = pd.to_datetime(pres_data['Birth date'], infer_datetime_format=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In here\n",
      "Feb 22, 1732\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "time data 'Feb 22, 1732' does not match format '%b, %d %Y'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-29-d2319a41f9f2>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      9\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     10\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mdate\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mpres_data\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Birth date'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 11\u001b[1;33m     \u001b[0mdateparser_SP\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdate\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-29-d2319a41f9f2>\u001b[0m in \u001b[0;36mdateparser_SP\u001b[1;34m(string_date)\u001b[0m\n\u001b[0;32m      5\u001b[0m         \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'In here'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m         \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstring_date\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m         \u001b[0mprint\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mdatetime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstrptime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstring_date\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'%b, %d %Y'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      8\u001b[0m     \u001b[1;31m#elif(string_date.find(',')>0):\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\sphulse\\Anaconda\\lib\\_strptime.py\u001b[0m in \u001b[0;36m_strptime_datetime\u001b[1;34m(cls, data_string, format)\u001b[0m\n\u001b[0;32m    563\u001b[0m     \"\"\"Return a class cls instance based on the input string and the\n\u001b[0;32m    564\u001b[0m     format string.\"\"\"\n\u001b[1;32m--> 565\u001b[1;33m     \u001b[0mtt\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfraction\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_strptime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata_string\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    566\u001b[0m     \u001b[0mtzname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mgmtoff\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtt\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    567\u001b[0m     \u001b[0margs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtt\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;36m6\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mfraction\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\sphulse\\Anaconda\\lib\\_strptime.py\u001b[0m in \u001b[0;36m_strptime\u001b[1;34m(data_string, format)\u001b[0m\n\u001b[0;32m    360\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mfound\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    361\u001b[0m         raise ValueError(\"time data %r does not match format %r\" %\n\u001b[1;32m--> 362\u001b[1;33m                          (data_string, format))\n\u001b[0m\u001b[0;32m    363\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata_string\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[0mfound\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mend\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[0;32m    364\u001b[0m         raise ValueError(\"unconverted data remains: %s\" %\n",
      "\u001b[1;31mValueError\u001b[0m: time data 'Feb 22, 1732' does not match format '%b, %d %Y'"
     ]
    }
   ],
   "source": [
    "#pres_data\n",
    "\n",
    "def dateparser_SP(string_date):\n",
    "    if(string_date.find(',')>0):\n",
    "        print('In here')\n",
    "        print(string_date)\n",
    "        print (datetime.strptime(string_date,'%b, %d %Y'))\n",
    "    #elif(string_date.find(',')>0):\n",
    "\n",
    "for date in pres_data['Birth date']:\n",
    "    dateparser_SP(date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Unknown string format",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32mC:\\Users\\sphulse\\Anaconda\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py\u001b[0m in \u001b[0;36m_convert_listlike\u001b[1;34m(arg, box, format, name, tz)\u001b[0m\n\u001b[0;32m    443\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 444\u001b[1;33m                 \u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtz\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtslib\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdatetime_to_datetime64\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    445\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mDatetimeIndex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_simple_new\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtz\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtz\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.datetime_to_datetime64 (pandas\\_libs\\tslib.c:33275)\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: Unrecognized value type: <class 'str'>",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-14-e16c4634d999>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mpres_data\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'date_try'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_datetime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpres_data\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Birth date'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mC:\\Users\\sphulse\\Anaconda\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py\u001b[0m in \u001b[0;36mto_datetime\u001b[1;34m(arg, errors, dayfirst, yearfirst, utc, box, format, exact, unit, infer_datetime_format, origin)\u001b[0m\n\u001b[0;32m    507\u001b[0m     \u001b[1;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marg\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mABCSeries\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    508\u001b[0m         \u001b[1;32mfrom\u001b[0m \u001b[0mpandas\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mSeries\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 509\u001b[1;33m         \u001b[0mvalues\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_convert_listlike\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_values\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    510\u001b[0m         \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mSeries\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0marg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0marg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    511\u001b[0m     \u001b[1;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marg\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mABCDataFrame\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mMutableMapping\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;32mC:\\Users\\sphulse\\Anaconda\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py\u001b[0m in \u001b[0;36m_convert_listlike\u001b[1;34m(arg, box, format, name, tz)\u001b[0m\n\u001b[0;32m    445\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mDatetimeIndex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_simple_new\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtz\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtz\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    446\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mValueError\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 447\u001b[1;33m                 \u001b[1;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    448\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    449\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0marg\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\sphulse\\Anaconda\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py\u001b[0m in \u001b[0;36m_convert_listlike\u001b[1;34m(arg, box, format, name, tz)\u001b[0m\n\u001b[0;32m    433\u001b[0m                     \u001b[0mdayfirst\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdayfirst\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    434\u001b[0m                     \u001b[0myearfirst\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0myearfirst\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 435\u001b[1;33m                     \u001b[0mrequire_iso8601\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequire_iso8601\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    436\u001b[0m                 )\n\u001b[0;32m    437\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.array_to_datetime (pandas\\_libs\\tslib.c:46617)\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.array_to_datetime (pandas\\_libs\\tslib.c:46233)\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.array_to_datetime (pandas\\_libs\\tslib.c:46122)\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.parse_datetime_string (pandas\\_libs\\tslib.c:35351)\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\sphulse\\Anaconda\\lib\\site-packages\\dateutil\\parser.py\u001b[0m in \u001b[0;36mparse\u001b[1;34m(timestr, parserinfo, **kwargs)\u001b[0m\n\u001b[0;32m   1166\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mparser\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparserinfo\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparse\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtimestr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1167\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1168\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mDEFAULTPARSER\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparse\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtimestr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1169\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1170\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\sphulse\\Anaconda\\lib\\site-packages\\dateutil\\parser.py\u001b[0m in \u001b[0;36mparse\u001b[1;34m(self, timestr, default, ignoretz, tzinfos, **kwargs)\u001b[0m\n\u001b[0;32m    557\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    558\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mres\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 559\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Unknown string format\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    560\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    561\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mres\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: Unknown string format"
     ]
    }
   ],
   "source": [
    "pres_data['date_try']=pd.to_datetime(pres_data['Birth date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pres_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     Feb 22, 1732[a]\n",
       "1     Oct 30, 1735[a]\n",
       "2     Apr 13, 1743[a]\n",
       "3     Mar 16, 1751[a]\n",
       "4        Apr 28, 1758\n",
       "5        Jul 11, 1767\n",
       "6        Mar 15, 1767\n",
       "7         Dec 5, 1782\n",
       "8         Feb 9, 1773\n",
       "9        Mar 29, 1790\n",
       "10        Nov 2, 1795\n",
       "11       Nov 24, 1784\n",
       "12        Jan 7, 1800\n",
       "13       Nov 23, 1804\n",
       "14       Apr 23, 1791\n",
       "15       Feb 12, 1809\n",
       "16       Dec 29, 1808\n",
       "17       Apr 27, 1822\n",
       "18        Oct 4, 1822\n",
       "19       Nov 19, 1831\n",
       "20        Oct 5, 1829\n",
       "21       Mar 18, 1837\n",
       "22       Aug 20, 1833\n",
       "23       Mar 18, 1837\n",
       "24       Jan 29, 1843\n",
       "25       Oct 27, 1858\n",
       "26       Sep 15, 1857\n",
       "27       Dec 28, 1856\n",
       "28        Nov 2, 1865\n",
       "29        Jul 4, 1872\n",
       "30       Aug 10, 1874\n",
       "31       Jan 30, 1882\n",
       "32        May 8, 1884\n",
       "33       Oct 14, 1890\n",
       "34          29-May-17\n",
       "35          27-Aug-08\n",
       "36           9-Jan-13\n",
       "37          14-Jul-13\n",
       "38           1-Oct-24\n",
       "39           6-Feb-11\n",
       "40          12-Jun-24\n",
       "41          19-Aug-46\n",
       "42           6-Jul-46\n",
       "43           4-Aug-61\n",
       "44          14-Jun-46\n",
       "Name: Birth date, dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#pd.to_datetime(pres_data['Birth date'], errors='coerce')\n",
    "for date in pres_data['Birth date']:\n",
    "    dateparser_SP(date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 45 entries, 0 to 44\n",
      "Data columns (total 6 columns):\n",
      "Id                       45 non-null int64\n",
      "President                45 non-null object\n",
      "Birth date               45 non-null object\n",
      "Presidency start date    45 non-null object\n",
      "Presidency end date      44 non-null object\n",
      "Death date               39 non-null object\n",
      "dtypes: int64(1), object(5)\n",
      "memory usage: 2.2+ KB\n"
     ]
    }
   ],
   "source": [
    "pres_data.head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'DataFrame' object has no attribute 'to_datetime'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-16-eb78d9a17703>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mpres_data\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Birth date updated'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mpres_data\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_datetime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Birth date'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0minfer_datetime_format\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mC:\\Users\\sphulse\\Anaconda\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m   2968\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mname\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2969\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2970\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2971\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2972\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mAttributeError\u001b[0m: 'DataFrame' object has no attribute 'to_datetime'"
     ]
    }
   ],
   "source": [
    "pres_data['Birth date updated']=pres_data.to_datetime(df['Birth date'],infer_datetime_format=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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