Tweet Analysis-Copy3 (1).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 328,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The mean length of the tweets:  126.94925280199253\n"
     ]
    }
   ],
   "source": [
    "#Data analysis \n",
    "mean=np.mean(data['Length'])\n",
    "print(f\"The mean length of the tweets:  {mean}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The most liked tweet is: सबका साथ + सबका विकास + सबका विश्वास = विजयी भारत\n",
      "\n",
      "Together we grow. \n",
      "\n",
      "Together we prosper. \n",
      "\n",
      "Together we will buil… https://t.co/orKx7u7syJ\n",
      "Number of likes: 422854\n",
      "------------------\n",
      "\n",
      "The most liked tweet is: सबका साथ + सबका विकास + सबका विश्वास = विजयी भारत\n",
      "\n",
      "Together we grow. \n",
      "\n",
      "Together we prosper. \n",
      "\n",
      "Together we will buil… https://t.co/orKx7u7syJ\n",
      "Number of likes: 121051\n",
      "------------------\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Most liked and retweeted tweets\n",
    "lik_max=np.max(data['Likes'])\n",
    "rt_max=np.max(data['RTs'])\n",
    "\n",
    "#Extract the index of max\n",
    "fav=data[data.Likes==lik_max].index[0]\n",
    "rt=data[data.RTs==rt_max].index[0]\n",
    "\n",
    "#Print the result\n",
    "print(f\"The most liked tweet is: {data['Tweets'][fav]}\")\n",
    "print(f\"Number of likes: {lik_max}\")\n",
    "print(\"------------------\")\n",
    "print()\n",
    "\n",
    "#Print the most retweeted tweet\n",
    "print(f\"The most liked tweet is: {data['Tweets'][rt]}\")\n",
    "print(f\"Number of likes: {rt_max}\")\n",
    "print(\"------------------\")\n",
    "print()\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
}