{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "pattern = r'^\\[(\\d{2}\\/\\d{2}\\/\\d{2}, \\d{1,2}:\\d{2}:\\d{2} [AP]M)\\] (.+)$'\n",
    "\n",
    "# Read the contents of the text document with the appropriate encoding\n",
    "with open('chats text\\mine.txt', 'r', encoding='utf-8') as file:\n",
    "    lines = file.readlines()\n",
    "\n",
    "message = []\n",
    "timestamp = []\n",
    "\n",
    "for line in lines:\n",
    "    line = line.strip()  # Remove leading/trailing whitespace if necessary\n",
    "    m = re.match(pattern, line)\n",
    "    if m:\n",
    "        timestamp.append(m.group(1))\n",
    "        message.append(m.group(2))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame({'user_messages': message, 'message_date': timestamp})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['message_date'] = pd.to_datetime(timestamp, format='%d/%m/%y, %I:%M:%S %p')\n",
    "df.rename(columns={'message_date':'date'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>user_messages</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MINE ❤️: ‎Messages and calls are end-to-end en...</td>\n",
       "      <td>2023-01-27 16:14:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>saqqu: Hie</td>\n",
       "      <td>2023-01-27 16:14:02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MINE ❤️: Call</td>\n",
       "      <td>2023-01-27 17:10:13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>saqqu: 6 bje sweetheart abhi sb hai</td>\n",
       "      <td>2023-01-27 17:10:31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>saqqu: bataye the na</td>\n",
       "      <td>2023-01-27 17:10:33</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       user_messages                date\n",
       "0  MINE ❤️: ‎Messages and calls are end-to-end en... 2023-01-27 16:14:02\n",
       "1                                         saqqu: Hie 2023-01-27 16:14:02\n",
       "2                                      MINE ❤️: Call 2023-01-27 17:10:13\n",
       "3                saqqu: 6 bje sweetheart abhi sb hai 2023-01-27 17:10:31\n",
       "4                               saqqu: bataye the na 2023-01-27 17:10:33"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(41246, 2)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[['user', 'message']] = df['user_messages'].str.split(': ', n=1, expand=True)\n",
    "df.drop('user_messages', axis=1, inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>date</th>\n",
       "      <th>user</th>\n",
       "      <th>message</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-01-27 16:14:02</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>‎Messages and calls are end-to-end encrypted. ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-01-27 16:14:02</td>\n",
       "      <td>saqqu</td>\n",
       "      <td>Hie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-01-27 17:10:13</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Call</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-01-27 17:10:31</td>\n",
       "      <td>saqqu</td>\n",
       "      <td>6 bje sweetheart abhi sb hai</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-01-27 17:10:33</td>\n",
       "      <td>saqqu</td>\n",
       "      <td>bataye the na</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 date     user   \n",
       "0 2023-01-27 16:14:02  MINE ❤️  \\\n",
       "1 2023-01-27 16:14:02    saqqu   \n",
       "2 2023-01-27 17:10:13  MINE ❤️   \n",
       "3 2023-01-27 17:10:31    saqqu   \n",
       "4 2023-01-27 17:10:33    saqqu   \n",
       "\n",
       "                                             message  \n",
       "0  ‎Messages and calls are end-to-end encrypted. ...  \n",
       "1                                                Hie  \n",
       "2                                               Call  \n",
       "3                       6 bje sweetheart abhi sb hai  \n",
       "4                                      bataye the na  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['year'] = df['date'].dt.year\n",
    "df['month'] = df['date'].dt.month_name()\n",
    "df['day'] = df['date'].dt.day\n",
    "df['hour'] = df['date'].dt.hour\n",
    "df['minute'] = df['date'].dt.minute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>user</th>\n",
       "      <th>message</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>minute</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17270</th>\n",
       "      <td>2023-03-14 22:10:57</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>3 bje</td>\n",
       "      <td>2023</td>\n",
       "      <td>March</td>\n",
       "      <td>14</td>\n",
       "      <td>22</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>2023-02-02 19:35:52</td>\n",
       "      <td>saqqu</td>\n",
       "      <td>baat toh bht karni hai babe</td>\n",
       "      <td>2023</td>\n",
       "      <td>February</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32585</th>\n",
       "      <td>2023-04-16 19:47:48</td>\n",
       "      <td>saqqu</td>\n",
       "      <td>shru shru me love log zyda express krte hai</td>\n",
       "      <td>2023</td>\n",
       "      <td>April</td>\n",
       "      <td>16</td>\n",
       "      <td>19</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2023-02-01 22:19:55</td>\n",
       "      <td>saqqu</td>\n",
       "      <td>or jo saman khareed ne me paisa gaya tmhra woh...</td>\n",
       "      <td>2023</td>\n",
       "      <td>February</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33112</th>\n",
       "      <td>2023-04-18 20:50:58</td>\n",
       "      <td>saqqu</td>\n",
       "      <td>😬</td>\n",
       "      <td>2023</td>\n",
       "      <td>April</td>\n",
       "      <td>18</td>\n",
       "      <td>20</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5401</th>\n",
       "      <td>2023-02-13 00:40:20</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Ooe</td>\n",
       "      <td>2023</td>\n",
       "      <td>February</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13051</th>\n",
       "      <td>2023-03-07 23:54:48</td>\n",
       "      <td>saqqu</td>\n",
       "      <td>hehehe</td>\n",
       "      <td>2023</td>\n",
       "      <td>March</td>\n",
       "      <td>7</td>\n",
       "      <td>23</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8619</th>\n",
       "      <td>2023-02-23 00:26:14</td>\n",
       "      <td>saqqu</td>\n",
       "      <td>smile kr plz</td>\n",
       "      <td>2023</td>\n",
       "      <td>February</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6636</th>\n",
       "      <td>2023-02-16 17:05:48</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Accha</td>\n",
       "      <td>2023</td>\n",
       "      <td>February</td>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40074</th>\n",
       "      <td>2023-06-06 15:06:15</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Oye</td>\n",
       "      <td>2023</td>\n",
       "      <td>June</td>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27694</th>\n",
       "      <td>2023-04-08 01:08:54</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>30</td>\n",
       "      <td>2023</td>\n",
       "      <td>April</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15131</th>\n",
       "      <td>2023-03-09 18:09:27</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Lo</td>\n",
       "      <td>2023</td>\n",
       "      <td>March</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13110</th>\n",
       "      <td>2023-03-08 00:05:00</td>\n",
       "      <td>saqqu</td>\n",
       "      <td>sojao😘😘</td>\n",
       "      <td>2023</td>\n",
       "      <td>March</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7906</th>\n",
       "      <td>2023-02-20 16:06:47</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Ok</td>\n",
       "      <td>2023</td>\n",
       "      <td>February</td>\n",
       "      <td>20</td>\n",
       "      <td>16</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26176</th>\n",
       "      <td>2023-04-05 00:00:52</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Ok</td>\n",
       "      <td>2023</td>\n",
       "      <td>April</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     date     user   \n",
       "17270 2023-03-14 22:10:57  MINE ❤️  \\\n",
       "411   2023-02-02 19:35:52    saqqu   \n",
       "32585 2023-04-16 19:47:48    saqqu   \n",
       "114   2023-02-01 22:19:55    saqqu   \n",
       "33112 2023-04-18 20:50:58    saqqu   \n",
       "5401  2023-02-13 00:40:20  MINE ❤️   \n",
       "13051 2023-03-07 23:54:48    saqqu   \n",
       "8619  2023-02-23 00:26:14    saqqu   \n",
       "6636  2023-02-16 17:05:48  MINE ❤️   \n",
       "40074 2023-06-06 15:06:15  MINE ❤️   \n",
       "27694 2023-04-08 01:08:54  MINE ❤️   \n",
       "15131 2023-03-09 18:09:27  MINE ❤️   \n",
       "13110 2023-03-08 00:05:00    saqqu   \n",
       "7906  2023-02-20 16:06:47  MINE ❤️   \n",
       "26176 2023-04-05 00:00:52  MINE ❤️   \n",
       "\n",
       "                                                 message  year     month  day   \n",
       "17270                                              3 bje  2023     March   14  \\\n",
       "411                          baat toh bht karni hai babe  2023  February    2   \n",
       "32585        shru shru me love log zyda express krte hai  2023     April   16   \n",
       "114    or jo saman khareed ne me paisa gaya tmhra woh...  2023  February    1   \n",
       "33112                                                  😬  2023     April   18   \n",
       "5401                                                 Ooe  2023  February   13   \n",
       "13051                                             hehehe  2023     March    7   \n",
       "8619                                        smile kr plz  2023  February   23   \n",
       "6636                                               Accha  2023  February   16   \n",
       "40074                                                Oye  2023      June    6   \n",
       "27694                                                 30  2023     April    8   \n",
       "15131                                                 Lo  2023     March    9   \n",
       "13110                                            sojao😘😘  2023     March    8   \n",
       "7906                                                  Ok  2023  February   20   \n",
       "26176                                                 Ok  2023     April    5   \n",
       "\n",
       "       hour  minute  \n",
       "17270    22      10  \n",
       "411      19      35  \n",
       "32585    19      47  \n",
       "114      22      19  \n",
       "33112    20      50  \n",
       "5401      0      40  \n",
       "13051    23      54  \n",
       "8619      0      26  \n",
       "6636     17       5  \n",
       "40074    15       6  \n",
       "27694     1       8  \n",
       "15131    18       9  \n",
       "13110     0       5  \n",
       "7906     16       6  \n",
       "26176     0       0  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "words = []\n",
    "for i in df['message']:\n",
    "    words.extend(i.split())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "105802"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>date</th>\n",
       "      <th>user</th>\n",
       "      <th>message</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>minute</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [date, user, message, year, month, day, hour, minute]\n",
       "Index: []"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['message']== '<image omitted>']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from urlextract import URLExtract\n",
    "extractor = URLExtract()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "links = []\n",
    "\n",
    "for i in df['message']:\n",
    "    links.extend(extractor.find_urls(i))\n",
    "len(links)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = df['user'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "name = x.index\n",
    "count = x.values\n",
    "\n",
    "plt.bar(name,count)\n",
    "plt.xticks(rotation = 'vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>name</th>\n",
       "      <th>messages</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>53.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>saqqu</td>\n",
       "      <td>46.22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      name  messages\n",
       "0  MINE ❤️     53.78\n",
       "1    saqqu     46.22"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round((df['user'].value_counts()/df.shape[0])*100,2).reset_index().rename(columns = {'user':'name','count':'messages'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = df[df['message'] != 'group_notification']\n",
    "temp = temp[temp['message'] != '<Media_omitted>\\n']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>date</th>\n",
       "      <th>user</th>\n",
       "      <th>message</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>minute</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-01-27 16:14:02</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>‎Messages and calls are end-to-end encrypted. ...</td>\n",
       "      <td>2023</td>\n",
       "      <td>January</td>\n",
       "      <td>27</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-01-27 16:14:02</td>\n",
       "      <td>saqqu</td>\n",
       "      <td>Hie</td>\n",
       "      <td>2023</td>\n",
       "      <td>January</td>\n",
       "      <td>27</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-01-27 17:10:13</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Call</td>\n",
       "      <td>2023</td>\n",
       "      <td>January</td>\n",
       "      <td>27</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-01-27 17:10:31</td>\n",
       "      <td>saqqu</td>\n",
       "      <td>6 bje sweetheart abhi sb hai</td>\n",
       "      <td>2023</td>\n",
       "      <td>January</td>\n",
       "      <td>27</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-01-27 17:10:33</td>\n",
       "      <td>saqqu</td>\n",
       "      <td>bataye the na</td>\n",
       "      <td>2023</td>\n",
       "      <td>January</td>\n",
       "      <td>27</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41241</th>\n",
       "      <td>2023-06-08 02:10:28</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Good night returns</td>\n",
       "      <td>2023</td>\n",
       "      <td>June</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41242</th>\n",
       "      <td>2023-06-08 02:10:31</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>😂😂</td>\n",
       "      <td>2023</td>\n",
       "      <td>June</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41243</th>\n",
       "      <td>2023-06-08 02:10:39</td>\n",
       "      <td>saqqu</td>\n",
       "      <td>goodnight finale😂</td>\n",
       "      <td>2023</td>\n",
       "      <td>June</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41244</th>\n",
       "      <td>2023-06-08 02:11:12</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Insta prr</td>\n",
       "      <td>2023</td>\n",
       "      <td>June</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41245</th>\n",
       "      <td>2023-06-08 02:11:18</td>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Message krna</td>\n",
       "      <td>2023</td>\n",
       "      <td>June</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>41246 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     date     user   \n",
       "0     2023-01-27 16:14:02  MINE ❤️  \\\n",
       "1     2023-01-27 16:14:02    saqqu   \n",
       "2     2023-01-27 17:10:13  MINE ❤️   \n",
       "3     2023-01-27 17:10:31    saqqu   \n",
       "4     2023-01-27 17:10:33    saqqu   \n",
       "...                   ...      ...   \n",
       "41241 2023-06-08 02:10:28  MINE ❤️   \n",
       "41242 2023-06-08 02:10:31  MINE ❤️   \n",
       "41243 2023-06-08 02:10:39    saqqu   \n",
       "41244 2023-06-08 02:11:12  MINE ❤️   \n",
       "41245 2023-06-08 02:11:18  MINE ❤️   \n",
       "\n",
       "                                                 message  year    month  day   \n",
       "0      ‎Messages and calls are end-to-end encrypted. ...  2023  January   27  \\\n",
       "1                                                    Hie  2023  January   27   \n",
       "2                                                   Call  2023  January   27   \n",
       "3                           6 bje sweetheart abhi sb hai  2023  January   27   \n",
       "4                                          bataye the na  2023  January   27   \n",
       "...                                                  ...   ...      ...  ...   \n",
       "41241                                 Good night returns  2023     June    8   \n",
       "41242                                                 😂😂  2023     June    8   \n",
       "41243                                  goodnight finale😂  2023     June    8   \n",
       "41244                                          Insta prr  2023     June    8   \n",
       "41245                                       Message krna  2023     June    8   \n",
       "\n",
       "       hour  minute  \n",
       "0        16      14  \n",
       "1        16      14  \n",
       "2        17      10  \n",
       "3        17      10  \n",
       "4        17      10  \n",
       "...     ...     ...  \n",
       "41241     2      10  \n",
       "41242     2      10  \n",
       "41243     2      10  \n",
       "41244     2      11  \n",
       "41245     2      11  \n",
       "\n",
       "[41246 rows x 8 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = open('stop_hinglish.txt','r')\n",
    "stop_words = f.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "words = []\n",
    "\n",
    "for i in temp['message']:\n",
    "    for word in i.lower().split():\n",
    "        if word not in stop_words:  \n",
    "            words.append(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>word</th>\n",
       "      <th>times</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>😅</td>\n",
       "      <td>637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>😅😅</td>\n",
       "      <td>540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>😂😂</td>\n",
       "      <td>521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>call</td>\n",
       "      <td>401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>love</td>\n",
       "      <td>358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>😘</td>\n",
       "      <td>329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>suun</td>\n",
       "      <td>293</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   word  times\n",
       "0     😅    637\n",
       "1    😅😅    540\n",
       "2    😂😂    521\n",
       "3  call    401\n",
       "4  love    358\n",
       "5     😘    329\n",
       "6  suun    293"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from collections import Counter\n",
    "\n",
    "pd.DataFrame(Counter(words).most_common(10)).rename(columns={0:'word',1:'times'}).head(7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "import emoji"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "emojis = []\n",
    "for message in df['message']:\n",
    "    emojis.extend([c for c in message if c in emoji.UNICODE_EMOJI['en']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>😂</td>\n",
       "      <td>4376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>😅</td>\n",
       "      <td>3436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>😘</td>\n",
       "      <td>1421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>🥺</td>\n",
       "      <td>1201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>🤣</td>\n",
       "      <td>769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>😔</td>\n",
       "      <td>454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>❤</td>\n",
       "      <td>454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>😁</td>\n",
       "      <td>320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>☺</td>\n",
       "      <td>288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>😒</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   0     1\n",
       "0  😂  4376\n",
       "1  😅  3436\n",
       "2  😘  1421\n",
       "3  🥺  1201\n",
       "4  🤣   769\n",
       "5  😔   454\n",
       "6  ❤   454\n",
       "7  😁   320\n",
       "8  ☺   288\n",
       "9  😒   279"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(Counter(emojis).most_common(len(Counter(emojis)))).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['month_num'] = df['date'].dt.month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "timeline = df.groupby(['year','month_num','month']).count()['message'].reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "time = []\n",
    "for i in range(timeline.shape[0]):\n",
    "    time.append(timeline['month'][i]+' - '+str(timeline['year'][i]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "timeline['time'] = time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month_num</th>\n",
       "      <th>month</th>\n",
       "      <th>message</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>January</td>\n",
       "      <td>28</td>\n",
       "      <td>January - 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>February</td>\n",
       "      <td>11002</td>\n",
       "      <td>February - 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>March</td>\n",
       "      <td>11961</td>\n",
       "      <td>March - 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023</td>\n",
       "      <td>4</td>\n",
       "      <td>April</td>\n",
       "      <td>11129</td>\n",
       "      <td>April - 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023</td>\n",
       "      <td>5</td>\n",
       "      <td>May</td>\n",
       "      <td>4429</td>\n",
       "      <td>May - 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2023</td>\n",
       "      <td>6</td>\n",
       "      <td>June</td>\n",
       "      <td>2697</td>\n",
       "      <td>June - 2023</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  month_num     month  message             time\n",
       "0  2023          1   January       28   January - 2023\n",
       "1  2023          2  February    11002  February - 2023\n",
       "2  2023          3     March    11961     March - 2023\n",
       "3  2023          4     April    11129     April - 2023\n",
       "4  2023          5       May     4429       May - 2023\n",
       "5  2023          6      June     2697      June - 2023"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>message</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023</td>\n",
       "      <td>January</td>\n",
       "      <td>28</td>\n",
       "      <td>January - 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023</td>\n",
       "      <td>February</td>\n",
       "      <td>11002</td>\n",
       "      <td>February - 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023</td>\n",
       "      <td>March</td>\n",
       "      <td>11961</td>\n",
       "      <td>March - 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023</td>\n",
       "      <td>April</td>\n",
       "      <td>11129</td>\n",
       "      <td>April - 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023</td>\n",
       "      <td>May</td>\n",
       "      <td>4429</td>\n",
       "      <td>May - 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2023</td>\n",
       "      <td>June</td>\n",
       "      <td>2697</td>\n",
       "      <td>June - 2023</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year     month  message             time\n",
       "0  2023   January       28   January - 2023\n",
       "1  2023  February    11002  February - 2023\n",
       "2  2023     March    11961     March - 2023\n",
       "3  2023     April    11129     April - 2023\n",
       "4  2023       May     4429       May - 2023\n",
       "5  2023      June     2697      June - 2023"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timeline.drop(columns=['month_num'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([0, 1, 2, 3, 4, 5],\n",
       " [Text(0, 0, ''),\n",
       "  Text(0, 0, ''),\n",
       "  Text(0, 0, ''),\n",
       "  Text(0, 0, ''),\n",
       "  Text(0, 0, ''),\n",
       "  Text(0, 0, '')])"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(timeline['time'],timeline['message'])\n",
    "plt.xticks(rotation = 'vertical')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['only_date'] = df['date'].dt.date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "daily_timeline = df.groupby(['only_date']).count()['message'].reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>only_date</th>\n",
       "      <th>message</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2023-03-09</td>\n",
       "      <td>1744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2023-04-08</td>\n",
       "      <td>1602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2023-04-02</td>\n",
       "      <td>1216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2023-02-12</td>\n",
       "      <td>1192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2023-04-01</td>\n",
       "      <td>963</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     only_date  message\n",
       "36  2023-03-09     1744\n",
       "65  2023-04-08     1602\n",
       "59  2023-04-02     1216\n",
       "12  2023-02-12     1192\n",
       "58  2023-04-01      963"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_5_days = daily_timeline.nlargest(5, 'message')\n",
    "top_5_days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "def upper(text):\n",
    "    return text.upper()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "text = input()\n",
    "print(upper(text))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "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>user</th>\n",
       "      <th>message</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>minute</th>\n",
       "      <th>only_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>saqqu</td>\n",
       "      <td>Hie</td>\n",
       "      <td>2023</td>\n",
       "      <td>January</td>\n",
       "      <td>27</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "      <td>2023-01-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Call</td>\n",
       "      <td>2023</td>\n",
       "      <td>January</td>\n",
       "      <td>27</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "      <td>2023-01-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>saqqu</td>\n",
       "      <td>6 bje sweetheart abhi sb hai</td>\n",
       "      <td>2023</td>\n",
       "      <td>January</td>\n",
       "      <td>27</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "      <td>2023-01-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>saqqu</td>\n",
       "      <td>bataye the na</td>\n",
       "      <td>2023</td>\n",
       "      <td>January</td>\n",
       "      <td>27</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "      <td>2023-01-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Mtt kr then</td>\n",
       "      <td>2023</td>\n",
       "      <td>January</td>\n",
       "      <td>27</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "      <td>2023-01-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41241</th>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Good night returns</td>\n",
       "      <td>2023</td>\n",
       "      <td>June</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>2023-06-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41242</th>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>😂😂</td>\n",
       "      <td>2023</td>\n",
       "      <td>June</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>2023-06-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41243</th>\n",
       "      <td>saqqu</td>\n",
       "      <td>goodnight finale😂</td>\n",
       "      <td>2023</td>\n",
       "      <td>June</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>2023-06-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41244</th>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Insta prr</td>\n",
       "      <td>2023</td>\n",
       "      <td>June</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>2023-06-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41245</th>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>Message krna</td>\n",
       "      <td>2023</td>\n",
       "      <td>June</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>2023-06-08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>41245 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          user                       message  year    month  day  hour   \n",
       "1        saqqu                           Hie  2023  January   27    16  \\\n",
       "2      MINE ❤️                          Call  2023  January   27    17   \n",
       "3        saqqu  6 bje sweetheart abhi sb hai  2023  January   27    17   \n",
       "4        saqqu                 bataye the na  2023  January   27    17   \n",
       "5      MINE ❤️                   Mtt kr then  2023  January   27    17   \n",
       "...        ...                           ...   ...      ...  ...   ...   \n",
       "41241  MINE ❤️            Good night returns  2023     June    8     2   \n",
       "41242  MINE ❤️                            😂😂  2023     June    8     2   \n",
       "41243    saqqu             goodnight finale😂  2023     June    8     2   \n",
       "41244  MINE ❤️                     Insta prr  2023     June    8     2   \n",
       "41245  MINE ❤️                  Message krna  2023     June    8     2   \n",
       "\n",
       "       minute   only_date  \n",
       "1          14  2023-01-27  \n",
       "2          10  2023-01-27  \n",
       "3          10  2023-01-27  \n",
       "4          10  2023-01-27  \n",
       "5          10  2023-01-27  \n",
       "...       ...         ...  \n",
       "41241      10  2023-06-08  \n",
       "41242      10  2023-06-08  \n",
       "41243      10  2023-06-08  \n",
       "41244      11  2023-06-08  \n",
       "41245      11  2023-06-08  \n",
       "\n",
       "[41245 rows x 8 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "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>Sender</th>\n",
       "      <th>message</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>saqqu</td>\n",
       "      <td>Hie</td>\n",
       "      <td>2023-01-27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Sender message        Date\n",
       "1  saqqu     Hie  2023-01-27"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_last_msg = df.drop(columns=['date','month_num'], axis=1)[1:]\n",
    "first_last_msg[['user','message','only_date']].head(1).rename(columns={'user':'Sender','only_date':'Date'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['user', 'message', 'year', 'month', 'day', 'hour', 'minute',\n",
       "       'only_date'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_last_msg.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "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>Sender</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>41245</th>\n",
       "      <td>MINE ❤️</td>\n",
       "      <td>2023-06-08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Sender        Date\n",
       "41245  MINE ❤️  2023-06-08"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_last_msg[['user','only_date']].tail(1).rename(columns={'user':'Sender','only_date':'Date'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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