Tweet Analysis-Copy4 (7).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 336,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PM Modi has tweeted about Swachh Bharat 14 times.\n",
      "--------------------------------\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1248    ‘Swachh Kumbh, Swachh Aabhaar’ was a great pla...\n",
       "1252    Addressing the ‘Swachh Kumbh, Swachh Aabhaar’ ...\n",
       "1361    You’ve heard of many competitions but we’ve be...\n",
       "1367    The Swachh Shakti- 2019 in Haryana’s Kurukshet...\n",
       "1661    Here is a unique contest that strengthens the ...\n",
       "1684    The Sulabh International family has added imme...\n",
       "1840    When Jabalpur has passionate citizens like you...\n",
       "2979    The stupendous efforts of the @JagranNews team...\n",
       "2988    Thank you @iamsrk, for lending vital support f...\n",
       "2991    I congratulate team @ndtv for their notable ef...\n",
       "2992    A Swachh Bharat was Bapu's dream. \\n\\nWe are a...\n",
       "2994    I congratulate all those who have been conferr...\n",
       "3024    A Divyang brother from Rajasthan called me, ex...\n",
       "3145    RT @arunjaitley: Sharing my article on Swachh ...\n",
       "Name: Tweets, dtype: object"
      ]
     },
     "execution_count": 336,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#I'm curious how many times Modi talks about Swachh Bharat. Let's see. \n",
    "swachh_count = data.Tweets[data.Tweets.str.contains('Swachh', flags=re.IGNORECASE)].count() \n",
    "print(f\"PM Modi has tweeted about Swachh Bharat {swachh_count} times.\")\n",
    "print(\"--------------------------------\")\n",
    "print()\n",
    "data.Tweets[data.Tweets.str.contains('Swachh', flags=re.IGNORECASE)] \n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}