email_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "461ef124",
   "metadata": {},
   "outputs": [],
   "source": [
    "#loading our libraries for our dataset\n",
    "import pandas as pd #data manipulation\n",
    "import numpy as np  #numerical computation\n",
    "import matplotlib.pyplot as plt #data visualisation\n",
    "import mailbox #"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "397ce3c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mailbox.mbox at 0x1f989eb1cc0>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#loading our dataset\n",
    "mboxfile=\"All mail Including spam and Trash.mbox\"\n",
    "mbox=mailbox.mbox(mboxfile)\n",
    "mbox"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "218f5979",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X-GM-THRID\n",
      "X-Gmail-Labels\n",
      "Delivered-To\n",
      "Received\n",
      "X-Received\n",
      "ARC-Seal\n",
      "ARC-Message-Signature\n",
      "ARC-Authentication-Results\n",
      "Return-Path\n",
      "Received\n",
      "Received-SPF\n",
      "Authentication-Results\n",
      "DKIM-Signature\n",
      "X-Google-DKIM-Signature\n",
      "X-Gm-Message-State\n",
      "X-Google-Smtp-Source\n",
      "MIME-Version\n",
      "X-Received\n",
      "Date\n",
      "Reply-To\n",
      "X-Google-Id\n",
      "Precedence\n",
      "List-Unsubscribe\n",
      "Feedback-ID\n",
      "List-Id\n",
      "X-Notifications\n",
      "X-Notifications-Bounce-Info\n",
      "Message-ID\n",
      "Subject\n",
      "From\n",
      "To\n",
      "Content-Type\n"
     ]
    }
   ],
   "source": [
    "#rows or keys in out email\n",
    "for key in mbox[0].keys():\n",
    "    print(key)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0b9c80b",
   "metadata": {},
   "source": [
    "# data transformation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5f739827",
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "66585f02",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('mailbox.csv', 'w') as outputfile:\n",
    "    writer=csv.writer(outputfile)\n",
    "    writer.writerow([\"subject\",\"from\",\"date\",\"to\",\"label\",\"thread\"])\n",
    "    for message in mbox:\n",
    "        writer.writerow([\n",
    "            message[\"subject\"],\n",
    "            message[\"from\"],\n",
    "            message[\"date\"],\n",
    "            message[\"to\"],\n",
    "            message[\"X-Gmail-Labels\"],\n",
    "            message[\"X-GM-THRID\"],\n",
    "        ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d5d7c486",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs=pd.read_csv(\"mailbox.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e5e78473",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>thread</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dorcas, plan fun get-togethers with Google</td>\n",
       "      <td>\"Google Tips &amp; Updates\" &lt;googlecommunityteam-n...</td>\n",
       "      <td>Thu, 13 Jul 2023 09:16:01 -0700</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category updates,Unread</td>\n",
       "      <td>1771322697187038003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>=?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=</td>\n",
       "      <td>DataCamp &lt;team@datacamp.com&gt;</td>\n",
       "      <td>Mon, 31 Jul 2023 19:39:28 +0000</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1772966242087974305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>African Braids for Hoseadorcas</td>\n",
       "      <td>\"=?utf-8?q?Pinterest?=\" &lt;pinterest-recommendat...</td>\n",
       "      <td>Tue, 08 Aug 2023 06:54:37 +0000</td>\n",
       "      <td>\"Hoseadorcas\" &lt;hoseadorcas241@gmail.com&gt;</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1773642897684053958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Critical security alert</td>\n",
       "      <td>Google &lt;no-reply@accounts.google.com&gt;</td>\n",
       "      <td>Wed, 26 Jul 2023 13:25:39 GMT</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category updates,Unread</td>\n",
       "      <td>1772491626425746422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>On a mobile device? We got you covered</td>\n",
       "      <td>DataCamp &lt;team@datacamp.com&gt;</td>\n",
       "      <td>Wed, 09 Aug 2023 12:58:22 +0000</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1773756379747392438</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "                                        subject  \\\n",
       "0   Dorcas, plan fun get-togethers with Google    \n",
       "1  =?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=   \n",
       "2                African Braids for Hoseadorcas   \n",
       "3                       Critical security alert   \n",
       "4        On a mobile device? We got you covered   \n",
       "\n",
       "                                                from  \\\n",
       "0  \"Google Tips & Updates\" <googlecommunityteam-n...   \n",
       "1                       DataCamp <team@datacamp.com>   \n",
       "2  \"=?utf-8?q?Pinterest?=\" <pinterest-recommendat...   \n",
       "3              Google <no-reply@accounts.google.com>   \n",
       "4                       DataCamp <team@datacamp.com>   \n",
       "\n",
       "                              date                                        to  \\\n",
       "0  Thu, 13 Jul 2023 09:16:01 -0700                  hoseadorcas241@gmail.com   \n",
       "1  Mon, 31 Jul 2023 19:39:28 +0000                  hoseadorcas241@gmail.com   \n",
       "2  Tue, 08 Aug 2023 06:54:37 +0000  \"Hoseadorcas\" <hoseadorcas241@gmail.com>   \n",
       "3    Wed, 26 Jul 2023 13:25:39 GMT                  hoseadorcas241@gmail.com   \n",
       "4  Wed, 09 Aug 2023 12:58:22 +0000                  hoseadorcas241@gmail.com   \n",
       "\n",
       "                              label               thread  \n",
       "0     Inbox,Category updates,Unread  1771322697187038003  \n",
       "1  Inbox,Category promotions,Unread  1772966242087974305  \n",
       "2  Inbox,Category promotions,Unread  1773642897684053958  \n",
       "3     Inbox,Category updates,Unread  1772491626425746422  \n",
       "4  Inbox,Category promotions,Unread  1773756379747392438  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4ac559e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "subject    object\n",
       "from       object\n",
       "date       object\n",
       "to         object\n",
       "label      object\n",
       "thread      int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50ee868e",
   "metadata": {},
   "source": [
    "# converting date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a4a24e7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Thu, 13 Jul 2023 09:16:01 -0700\n",
       "1    Mon, 31 Jul 2023 19:39:28 +0000\n",
       "2    Tue, 08 Aug 2023 06:54:37 +0000\n",
       "3      Wed, 26 Jul 2023 13:25:39 GMT\n",
       "4    Wed, 09 Aug 2023 12:58:22 +0000\n",
       "Name: date, dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs['date'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "64ee7b7b",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs['date'] = dfs['date'].apply(lambda x: pd.to_datetime(x,\n",
    "errors='coerce', utc=True))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3c1f029e",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs[\"date\"]=dfs[\"date\"].apply(lambda x: pd.to_datetime(x),)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8c89a492",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2023-07-13 16:16:01+00:00\n",
       "1   2023-07-31 19:39:28+00:00\n",
       "2   2023-08-08 06:54:37+00:00\n",
       "3   2023-07-26 13:25:39+00:00\n",
       "4   2023-08-09 12:58:22+00:00\n",
       "Name: date, dtype: datetime64[ns, UTC]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs['date'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3afd8a69",
   "metadata": {},
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>Dorcas, plan fun get-togethers with Google</td>\n",
       "      <td>\"Google Tips &amp; Updates\" &lt;googlecommunityteam-n...</td>\n",
       "      <td>2023-07-13 16:16:01+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category updates,Unread</td>\n",
       "      <td>1771322697187038003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>=?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=</td>\n",
       "      <td>DataCamp &lt;team@datacamp.com&gt;</td>\n",
       "      <td>2023-07-31 19:39:28+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1772966242087974305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>African Braids for Hoseadorcas</td>\n",
       "      <td>\"=?utf-8?q?Pinterest?=\" &lt;pinterest-recommendat...</td>\n",
       "      <td>2023-08-08 06:54:37+00:00</td>\n",
       "      <td>\"Hoseadorcas\" &lt;hoseadorcas241@gmail.com&gt;</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1773642897684053958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Critical security alert</td>\n",
       "      <td>Google &lt;no-reply@accounts.google.com&gt;</td>\n",
       "      <td>2023-07-26 13:25:39+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category updates,Unread</td>\n",
       "      <td>1772491626425746422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>On a mobile device? We got you covered</td>\n",
       "      <td>DataCamp &lt;team@datacamp.com&gt;</td>\n",
       "      <td>2023-08-09 12:58:22+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1773756379747392438</td>\n",
       "    </tr>\n",
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       "                                        subject  \\\n",
       "0   Dorcas, plan fun get-togethers with Google    \n",
       "1  =?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=   \n",
       "2                African Braids for Hoseadorcas   \n",
       "3                       Critical security alert   \n",
       "4        On a mobile device? We got you covered   \n",
       "\n",
       "                                                from  \\\n",
       "0  \"Google Tips & Updates\" <googlecommunityteam-n...   \n",
       "1                       DataCamp <team@datacamp.com>   \n",
       "2  \"=?utf-8?q?Pinterest?=\" <pinterest-recommendat...   \n",
       "3              Google <no-reply@accounts.google.com>   \n",
       "4                       DataCamp <team@datacamp.com>   \n",
       "\n",
       "                       date                                        to  \\\n",
       "0 2023-07-13 16:16:01+00:00                  hoseadorcas241@gmail.com   \n",
       "1 2023-07-31 19:39:28+00:00                  hoseadorcas241@gmail.com   \n",
       "2 2023-08-08 06:54:37+00:00  \"Hoseadorcas\" <hoseadorcas241@gmail.com>   \n",
       "3 2023-07-26 13:25:39+00:00                  hoseadorcas241@gmail.com   \n",
       "4 2023-08-09 12:58:22+00:00                  hoseadorcas241@gmail.com   \n",
       "\n",
       "                              label               thread  \n",
       "0     Inbox,Category updates,Unread  1771322697187038003  \n",
       "1  Inbox,Category promotions,Unread  1772966242087974305  \n",
       "2  Inbox,Category promotions,Unread  1773642897684053958  \n",
       "3     Inbox,Category updates,Unread  1772491626425746422  \n",
       "4  Inbox,Category promotions,Unread  1773756379747392438  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "11302068",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs['date'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c888db51",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Dorcas, plan fun get-togethers with Google</td>\n",
       "      <td>\"Google Tips &amp; Updates\" &lt;googlecommunityteam-n...</td>\n",
       "      <td>2023-07-13 16:16:01+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
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       "      <th>1</th>\n",
       "      <td>=?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=</td>\n",
       "      <td>DataCamp &lt;team@datacamp.com&gt;</td>\n",
       "      <td>2023-07-31 19:39:28+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
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       "      <td>1772966242087974305</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>African Braids for Hoseadorcas</td>\n",
       "      <td>\"=?utf-8?q?Pinterest?=\" &lt;pinterest-recommendat...</td>\n",
       "      <td>2023-08-08 06:54:37+00:00</td>\n",
       "      <td>\"Hoseadorcas\" &lt;hoseadorcas241@gmail.com&gt;</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1773642897684053958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Critical security alert</td>\n",
       "      <td>Google &lt;no-reply@accounts.google.com&gt;</td>\n",
       "      <td>2023-07-26 13:25:39+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category updates,Unread</td>\n",
       "      <td>1772491626425746422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>On a mobile device? We got you covered</td>\n",
       "      <td>DataCamp &lt;team@datacamp.com&gt;</td>\n",
       "      <td>2023-08-09 12:58:22+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1773756379747392438</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "                                        subject  \\\n",
       "0   Dorcas, plan fun get-togethers with Google    \n",
       "1  =?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=   \n",
       "2                African Braids for Hoseadorcas   \n",
       "3                       Critical security alert   \n",
       "4        On a mobile device? We got you covered   \n",
       "\n",
       "                                                from  \\\n",
       "0  \"Google Tips & Updates\" <googlecommunityteam-n...   \n",
       "1                       DataCamp <team@datacamp.com>   \n",
       "2  \"=?utf-8?q?Pinterest?=\" <pinterest-recommendat...   \n",
       "3              Google <no-reply@accounts.google.com>   \n",
       "4                       DataCamp <team@datacamp.com>   \n",
       "\n",
       "                       date                                        to  \\\n",
       "0 2023-07-13 16:16:01+00:00                  hoseadorcas241@gmail.com   \n",
       "1 2023-07-31 19:39:28+00:00                  hoseadorcas241@gmail.com   \n",
       "2 2023-08-08 06:54:37+00:00  \"Hoseadorcas\" <hoseadorcas241@gmail.com>   \n",
       "3 2023-07-26 13:25:39+00:00                  hoseadorcas241@gmail.com   \n",
       "4 2023-08-09 12:58:22+00:00                  hoseadorcas241@gmail.com   \n",
       "\n",
       "                              label               thread  \n",
       "0     Inbox,Category updates,Unread  1771322697187038003  \n",
       "1  Inbox,Category promotions,Unread  1772966242087974305  \n",
       "2  Inbox,Category promotions,Unread  1773642897684053958  \n",
       "3     Inbox,Category updates,Unread  1772491626425746422  \n",
       "4  Inbox,Category promotions,Unread  1773756379747392438  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "48fae46a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#dfs=dfs[dfs[\"date\"].notna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "84bbf3d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs.to_csv(\"gmail.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fea4d273",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
       "      <td>Dorcas, plan fun get-togethers with Google</td>\n",
       "      <td>\"Google Tips &amp; Updates\" &lt;googlecommunityteam-n...</td>\n",
       "      <td>2023-07-13 16:16:01+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category updates,Unread</td>\n",
       "      <td>1771322697187038003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>=?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=</td>\n",
       "      <td>DataCamp &lt;team@datacamp.com&gt;</td>\n",
       "      <td>2023-07-31 19:39:28+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1772966242087974305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>African Braids for Hoseadorcas</td>\n",
       "      <td>\"=?utf-8?q?Pinterest?=\" &lt;pinterest-recommendat...</td>\n",
       "      <td>2023-08-08 06:54:37+00:00</td>\n",
       "      <td>\"Hoseadorcas\" &lt;hoseadorcas241@gmail.com&gt;</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1773642897684053958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Critical security alert</td>\n",
       "      <td>Google &lt;no-reply@accounts.google.com&gt;</td>\n",
       "      <td>2023-07-26 13:25:39+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category updates,Unread</td>\n",
       "      <td>1772491626425746422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>On a mobile device? We got you covered</td>\n",
       "      <td>DataCamp &lt;team@datacamp.com&gt;</td>\n",
       "      <td>2023-08-09 12:58:22+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1773756379747392438</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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      "text/plain": [
       "                                        subject  \\\n",
       "0   Dorcas, plan fun get-togethers with Google    \n",
       "1  =?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=   \n",
       "2                African Braids for Hoseadorcas   \n",
       "3                       Critical security alert   \n",
       "4        On a mobile device? We got you covered   \n",
       "\n",
       "                                                from  \\\n",
       "0  \"Google Tips & Updates\" <googlecommunityteam-n...   \n",
       "1                       DataCamp <team@datacamp.com>   \n",
       "2  \"=?utf-8?q?Pinterest?=\" <pinterest-recommendat...   \n",
       "3              Google <no-reply@accounts.google.com>   \n",
       "4                       DataCamp <team@datacamp.com>   \n",
       "\n",
       "                       date                                        to  \\\n",
       "0 2023-07-13 16:16:01+00:00                  hoseadorcas241@gmail.com   \n",
       "1 2023-07-31 19:39:28+00:00                  hoseadorcas241@gmail.com   \n",
       "2 2023-08-08 06:54:37+00:00  \"Hoseadorcas\" <hoseadorcas241@gmail.com>   \n",
       "3 2023-07-26 13:25:39+00:00                  hoseadorcas241@gmail.com   \n",
       "4 2023-08-09 12:58:22+00:00                  hoseadorcas241@gmail.com   \n",
       "\n",
       "                              label               thread  \n",
       "0     Inbox,Category updates,Unread  1771322697187038003  \n",
       "1  Inbox,Category promotions,Unread  1772966242087974305  \n",
       "2  Inbox,Category promotions,Unread  1773642897684053958  \n",
       "3     Inbox,Category updates,Unread  1772491626425746422  \n",
       "4  Inbox,Category promotions,Unread  1773756379747392438  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "fb8c4801",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 74 entries, 0 to 73\n",
      "Data columns (total 6 columns):\n",
      " #   Column   Non-Null Count  Dtype              \n",
      "---  ------   --------------  -----              \n",
      " 0   subject  73 non-null     object             \n",
      " 1   from     74 non-null     object             \n",
      " 2   date     74 non-null     datetime64[ns, UTC]\n",
      " 3   to       74 non-null     object             \n",
      " 4   label    74 non-null     object             \n",
      " 5   thread   74 non-null     int64              \n",
      "dtypes: datetime64[ns, UTC](1), int64(1), object(4)\n",
      "memory usage: 3.6+ KB\n"
     ]
    }
   ],
   "source": [
    "dfs.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "02a79fe5",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "      <td>Dorcas, plan fun get-togethers with Google</td>\n",
       "      <td>\"Google Tips &amp; Updates\" &lt;googlecommunityteam-n...</td>\n",
       "      <td>2023-07-13 16:16:01+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category updates,Unread</td>\n",
       "      <td>1771322697187038003</td>\n",
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       "      <th>1</th>\n",
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       "      <td>2023-07-31 19:39:28+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1772966242087974305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>African Braids for Hoseadorcas</td>\n",
       "      <td>\"=?utf-8?q?Pinterest?=\" &lt;pinterest-recommendat...</td>\n",
       "      <td>2023-08-08 06:54:37+00:00</td>\n",
       "      <td>\"Hoseadorcas\" &lt;hoseadorcas241@gmail.com&gt;</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1773642897684053958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Critical security alert</td>\n",
       "      <td>Google &lt;no-reply@accounts.google.com&gt;</td>\n",
       "      <td>2023-07-26 13:25:39+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category updates,Unread</td>\n",
       "      <td>1772491626425746422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>On a mobile device? We got you covered</td>\n",
       "      <td>DataCamp &lt;team@datacamp.com&gt;</td>\n",
       "      <td>2023-08-09 12:58:22+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1773756379747392438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>=?utf-8?Q?=f0=9f=93=84_New_messages_from_=32_c...</td>\n",
       "      <td>Slack &lt;no-reply@slack.com&gt;</td>\n",
       "      <td>2023-06-28 10:35:43+00:00</td>\n",
       "      <td>\"\" &lt;hoseadorcas241@gmail.com&gt;</td>\n",
       "      <td>Inbox,Category updates,Unread</td>\n",
       "      <td>1769942333700725609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Learn more about Python Lists</td>\n",
       "      <td>The DataCamp Team &lt;team@datacamp.com&gt;</td>\n",
       "      <td>2023-07-28 17:13:11+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1772685248914647025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>=?utf-8?Q?On-Call=20Code=20Examples=20-=20So=2...</td>\n",
       "      <td>Grepper &lt;support@codegrepper.com&gt;</td>\n",
       "      <td>2023-07-31 14:23:14+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category updates,Unread</td>\n",
       "      <td>1772946345596592454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>=?utf-8?Q?Slack_confirmation_code=3a_GO=37=2dK...</td>\n",
       "      <td>Slack &lt;no-reply-Cgu6IFFHwKN143KXanlunWdn@slack...</td>\n",
       "      <td>2023-07-03 14:03:29+00:00</td>\n",
       "      <td>\"\" &lt;hoseadorcas241@gmail.com&gt;</td>\n",
       "      <td>Inbox,Important,Category promotions,Unread</td>\n",
       "      <td>1770408389179960679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CoLab on Slack: New Account Details</td>\n",
       "      <td>Slack &lt;no-reply-aa56xceC3LOl26kfLABQT6x5@slack...</td>\n",
       "      <td>2023-06-26 12:26:42+00:00</td>\n",
       "      <td>\"\" &lt;hoseadorcas241@gmail.com&gt;</td>\n",
       "      <td>Inbox,Important,Category promotions,Unread</td>\n",
       "      <td>1769768122111488807</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             subject  \\\n",
       "0        Dorcas, plan fun get-togethers with Google    \n",
       "1       =?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=   \n",
       "2                     African Braids for Hoseadorcas   \n",
       "3                            Critical security alert   \n",
       "4             On a mobile device? We got you covered   \n",
       "5  =?utf-8?Q?=f0=9f=93=84_New_messages_from_=32_c...   \n",
       "6                      Learn more about Python Lists   \n",
       "7  =?utf-8?Q?On-Call=20Code=20Examples=20-=20So=2...   \n",
       "8  =?utf-8?Q?Slack_confirmation_code=3a_GO=37=2dK...   \n",
       "9                CoLab on Slack: New Account Details   \n",
       "\n",
       "                                                from  \\\n",
       "0  \"Google Tips & Updates\" <googlecommunityteam-n...   \n",
       "1                       DataCamp <team@datacamp.com>   \n",
       "2  \"=?utf-8?q?Pinterest?=\" <pinterest-recommendat...   \n",
       "3              Google <no-reply@accounts.google.com>   \n",
       "4                       DataCamp <team@datacamp.com>   \n",
       "5                         Slack <no-reply@slack.com>   \n",
       "6              The DataCamp Team <team@datacamp.com>   \n",
       "7                  Grepper <support@codegrepper.com>   \n",
       "8  Slack <no-reply-Cgu6IFFHwKN143KXanlunWdn@slack...   \n",
       "9  Slack <no-reply-aa56xceC3LOl26kfLABQT6x5@slack...   \n",
       "\n",
       "                       date                                        to  \\\n",
       "0 2023-07-13 16:16:01+00:00                  hoseadorcas241@gmail.com   \n",
       "1 2023-07-31 19:39:28+00:00                  hoseadorcas241@gmail.com   \n",
       "2 2023-08-08 06:54:37+00:00  \"Hoseadorcas\" <hoseadorcas241@gmail.com>   \n",
       "3 2023-07-26 13:25:39+00:00                  hoseadorcas241@gmail.com   \n",
       "4 2023-08-09 12:58:22+00:00                  hoseadorcas241@gmail.com   \n",
       "5 2023-06-28 10:35:43+00:00             \"\" <hoseadorcas241@gmail.com>   \n",
       "6 2023-07-28 17:13:11+00:00                  hoseadorcas241@gmail.com   \n",
       "7 2023-07-31 14:23:14+00:00                  hoseadorcas241@gmail.com   \n",
       "8 2023-07-03 14:03:29+00:00             \"\" <hoseadorcas241@gmail.com>   \n",
       "9 2023-06-26 12:26:42+00:00             \"\" <hoseadorcas241@gmail.com>   \n",
       "\n",
       "                                        label               thread  \n",
       "0               Inbox,Category updates,Unread  1771322697187038003  \n",
       "1            Inbox,Category promotions,Unread  1772966242087974305  \n",
       "2            Inbox,Category promotions,Unread  1773642897684053958  \n",
       "3               Inbox,Category updates,Unread  1772491626425746422  \n",
       "4            Inbox,Category promotions,Unread  1773756379747392438  \n",
       "5               Inbox,Category updates,Unread  1769942333700725609  \n",
       "6            Inbox,Category promotions,Unread  1772685248914647025  \n",
       "7               Inbox,Category updates,Unread  1772946345596592454  \n",
       "8  Inbox,Important,Category promotions,Unread  1770408389179960679  \n",
       "9  Inbox,Important,Category promotions,Unread  1769768122111488807  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fc7c34b",
   "metadata": {},
   "source": [
    "# data refactoring"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "04f57ab9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     \"Google Tips & Updates\" <googlecommunityteam-n...\n",
       "1                          DataCamp <team@datacamp.com>\n",
       "2     \"=?utf-8?q?Pinterest?=\" <pinterest-recommendat...\n",
       "3                 Google <no-reply@accounts.google.com>\n",
       "4                          DataCamp <team@datacamp.com>\n",
       "                            ...                        \n",
       "69                         DataCamp <team@datacamp.com>\n",
       "70                         DataCamp <team@datacamp.com>\n",
       "71                       Slack <notification@slack.com>\n",
       "72                       Slack <notification@slack.com>\n",
       "73    TSAKU CHRISTOPHER MOSES <tsakumoses4ril@gmail....\n",
       "Name: from, Length: 74, dtype: object"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs[\"from\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0973672d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c5fad540",
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_email_ID(string):\n",
    "    email=re.findall(r'<(.+?)>', string)\n",
    "    if not email:\n",
    "        email=list(filter(lambda y:\"@\" in y,string.split()))\n",
    "    return email[0]if email else np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "187dfc99",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs[\"from\"]=dfs[\"from\"].apply(lambda x: extract_email_ID(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "65d493f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>from</th>\n",
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       "      <th>to</th>\n",
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       "      <th>thread</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dorcas, plan fun get-togethers with Google</td>\n",
       "      <td>googlecommunityteam-noreply@google.com</td>\n",
       "      <td>2023-07-13 16:16:01+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category updates,Unread</td>\n",
       "      <td>1771322697187038003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>=?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=</td>\n",
       "      <td>team@datacamp.com</td>\n",
       "      <td>2023-07-31 19:39:28+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1772966242087974305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>African Braids for Hoseadorcas</td>\n",
       "      <td>pinterest-recommendations@ideas.pinterest.com</td>\n",
       "      <td>2023-08-08 06:54:37+00:00</td>\n",
       "      <td>\"Hoseadorcas\" &lt;hoseadorcas241@gmail.com&gt;</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1773642897684053958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Critical security alert</td>\n",
       "      <td>no-reply@accounts.google.com</td>\n",
       "      <td>2023-07-26 13:25:39+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category updates,Unread</td>\n",
       "      <td>1772491626425746422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>On a mobile device? We got you covered</td>\n",
       "      <td>team@datacamp.com</td>\n",
       "      <td>2023-08-09 12:58:22+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>Inbox,Category promotions,Unread</td>\n",
       "      <td>1773756379747392438</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        subject  \\\n",
       "0   Dorcas, plan fun get-togethers with Google    \n",
       "1  =?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=   \n",
       "2                African Braids for Hoseadorcas   \n",
       "3                       Critical security alert   \n",
       "4        On a mobile device? We got you covered   \n",
       "\n",
       "                                            from                      date  \\\n",
       "0         googlecommunityteam-noreply@google.com 2023-07-13 16:16:01+00:00   \n",
       "1                              team@datacamp.com 2023-07-31 19:39:28+00:00   \n",
       "2  pinterest-recommendations@ideas.pinterest.com 2023-08-08 06:54:37+00:00   \n",
       "3                   no-reply@accounts.google.com 2023-07-26 13:25:39+00:00   \n",
       "4                              team@datacamp.com 2023-08-09 12:58:22+00:00   \n",
       "\n",
       "                                         to                             label  \\\n",
       "0                  hoseadorcas241@gmail.com     Inbox,Category updates,Unread   \n",
       "1                  hoseadorcas241@gmail.com  Inbox,Category promotions,Unread   \n",
       "2  \"Hoseadorcas\" <hoseadorcas241@gmail.com>  Inbox,Category promotions,Unread   \n",
       "3                  hoseadorcas241@gmail.com     Inbox,Category updates,Unread   \n",
       "4                  hoseadorcas241@gmail.com  Inbox,Category promotions,Unread   \n",
       "\n",
       "                thread  \n",
       "0  1771322697187038003  \n",
       "1  1772966242087974305  \n",
       "2  1773642897684053958  \n",
       "3  1772491626425746422  \n",
       "4  1773756379747392438  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "df987476",
   "metadata": {},
   "outputs": [],
   "source": [
    "myemail = \"hoseadorcas241@gmail.com\"\n",
    "dfs['label'] = dfs['from'].apply(lambda x: 'sent' if x==myemail\n",
    "else 'inbox')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "cf2daf3d",
   "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",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>subject</th>\n",
       "      <th>from</th>\n",
       "      <th>date</th>\n",
       "      <th>to</th>\n",
       "      <th>label</th>\n",
       "      <th>thread</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dorcas, plan fun get-togethers with Google</td>\n",
       "      <td>googlecommunityteam-noreply@google.com</td>\n",
       "      <td>2023-07-13 16:16:01+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1771322697187038003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>=?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=</td>\n",
       "      <td>team@datacamp.com</td>\n",
       "      <td>2023-07-31 19:39:28+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1772966242087974305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>African Braids for Hoseadorcas</td>\n",
       "      <td>pinterest-recommendations@ideas.pinterest.com</td>\n",
       "      <td>2023-08-08 06:54:37+00:00</td>\n",
       "      <td>\"Hoseadorcas\" &lt;hoseadorcas241@gmail.com&gt;</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1773642897684053958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Critical security alert</td>\n",
       "      <td>no-reply@accounts.google.com</td>\n",
       "      <td>2023-07-26 13:25:39+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1772491626425746422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>On a mobile device? We got you covered</td>\n",
       "      <td>team@datacamp.com</td>\n",
       "      <td>2023-08-09 12:58:22+00:00</td>\n",
       "      <td>hoseadorcas241@gmail.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1773756379747392438</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        subject  \\\n",
       "0   Dorcas, plan fun get-togethers with Google    \n",
       "1  =?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=   \n",
       "2                African Braids for Hoseadorcas   \n",
       "3                       Critical security alert   \n",
       "4        On a mobile device? We got you covered   \n",
       "\n",
       "                                            from                      date  \\\n",
       "0         googlecommunityteam-noreply@google.com 2023-07-13 16:16:01+00:00   \n",
       "1                              team@datacamp.com 2023-07-31 19:39:28+00:00   \n",
       "2  pinterest-recommendations@ideas.pinterest.com 2023-08-08 06:54:37+00:00   \n",
       "3                   no-reply@accounts.google.com 2023-07-26 13:25:39+00:00   \n",
       "4                              team@datacamp.com 2023-08-09 12:58:22+00:00   \n",
       "\n",
       "                                         to  label               thread  \n",
       "0                  hoseadorcas241@gmail.com  inbox  1771322697187038003  \n",
       "1                  hoseadorcas241@gmail.com  inbox  1772966242087974305  \n",
       "2  \"Hoseadorcas\" <hoseadorcas241@gmail.com>  inbox  1773642897684053958  \n",
       "3                  hoseadorcas241@gmail.com  inbox  1772491626425746422  \n",
       "4                  hoseadorcas241@gmail.com  inbox  1773756379747392438  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "be119072",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs.drop(columns='to', inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "2e577338",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "        vertical-align: top;\n",
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       "\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>subject</th>\n",
       "      <th>from</th>\n",
       "      <th>date</th>\n",
       "      <th>label</th>\n",
       "      <th>thread</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dorcas, plan fun get-togethers with Google</td>\n",
       "      <td>googlecommunityteam-noreply@google.com</td>\n",
       "      <td>2023-07-13 16:16:01+00:00</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1771322697187038003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>=?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=</td>\n",
       "      <td>team@datacamp.com</td>\n",
       "      <td>2023-07-31 19:39:28+00:00</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1772966242087974305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>African Braids for Hoseadorcas</td>\n",
       "      <td>pinterest-recommendations@ideas.pinterest.com</td>\n",
       "      <td>2023-08-08 06:54:37+00:00</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1773642897684053958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Critical security alert</td>\n",
       "      <td>no-reply@accounts.google.com</td>\n",
       "      <td>2023-07-26 13:25:39+00:00</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1772491626425746422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>On a mobile device? We got you covered</td>\n",
       "      <td>team@datacamp.com</td>\n",
       "      <td>2023-08-09 12:58:22+00:00</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1773756379747392438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>=?utf-8?Q?=f0=9f=93=84_New_messages_from_=32_c...</td>\n",
       "      <td>no-reply@slack.com</td>\n",
       "      <td>2023-06-28 10:35:43+00:00</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1769942333700725609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Learn more about Python Lists</td>\n",
       "      <td>team@datacamp.com</td>\n",
       "      <td>2023-07-28 17:13:11+00:00</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1772685248914647025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>=?utf-8?Q?On-Call=20Code=20Examples=20-=20So=2...</td>\n",
       "      <td>support@codegrepper.com</td>\n",
       "      <td>2023-07-31 14:23:14+00:00</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1772946345596592454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>=?utf-8?Q?Slack_confirmation_code=3a_GO=37=2dK...</td>\n",
       "      <td>no-reply-Cgu6IFFHwKN143KXanlunWdn@slack.com</td>\n",
       "      <td>2023-07-03 14:03:29+00:00</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1770408389179960679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CoLab on Slack: New Account Details</td>\n",
       "      <td>no-reply-aa56xceC3LOl26kfLABQT6x5@slack.com</td>\n",
       "      <td>2023-06-26 12:26:42+00:00</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1769768122111488807</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             subject  \\\n",
       "0        Dorcas, plan fun get-togethers with Google    \n",
       "1       =?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=   \n",
       "2                     African Braids for Hoseadorcas   \n",
       "3                            Critical security alert   \n",
       "4             On a mobile device? We got you covered   \n",
       "5  =?utf-8?Q?=f0=9f=93=84_New_messages_from_=32_c...   \n",
       "6                      Learn more about Python Lists   \n",
       "7  =?utf-8?Q?On-Call=20Code=20Examples=20-=20So=2...   \n",
       "8  =?utf-8?Q?Slack_confirmation_code=3a_GO=37=2dK...   \n",
       "9                CoLab on Slack: New Account Details   \n",
       "\n",
       "                                            from                      date  \\\n",
       "0         googlecommunityteam-noreply@google.com 2023-07-13 16:16:01+00:00   \n",
       "1                              team@datacamp.com 2023-07-31 19:39:28+00:00   \n",
       "2  pinterest-recommendations@ideas.pinterest.com 2023-08-08 06:54:37+00:00   \n",
       "3                   no-reply@accounts.google.com 2023-07-26 13:25:39+00:00   \n",
       "4                              team@datacamp.com 2023-08-09 12:58:22+00:00   \n",
       "5                             no-reply@slack.com 2023-06-28 10:35:43+00:00   \n",
       "6                              team@datacamp.com 2023-07-28 17:13:11+00:00   \n",
       "7                        support@codegrepper.com 2023-07-31 14:23:14+00:00   \n",
       "8    no-reply-Cgu6IFFHwKN143KXanlunWdn@slack.com 2023-07-03 14:03:29+00:00   \n",
       "9    no-reply-aa56xceC3LOl26kfLABQT6x5@slack.com 2023-06-26 12:26:42+00:00   \n",
       "\n",
       "   label               thread  \n",
       "0  inbox  1771322697187038003  \n",
       "1  inbox  1772966242087974305  \n",
       "2  inbox  1773642897684053958  \n",
       "3  inbox  1772491626425746422  \n",
       "4  inbox  1773756379747392438  \n",
       "5  inbox  1769942333700725609  \n",
       "6  inbox  1772685248914647025  \n",
       "7  inbox  1772946345596592454  \n",
       "8  inbox  1770408389179960679  \n",
       "9  inbox  1769768122111488807  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e8b16ad",
   "metadata": {},
   "source": [
    "# refactoring time zone"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "d5fd06a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "import pytz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "31c389bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "#pytz.all_timezones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "111d8dc5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def refactor_timezone(x):\n",
    "    est = pytz.timezone('Africa/Lagos')\n",
    "    return x.astimezone(est)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "4a6b243b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2023-07-13 16:16:01+00:00\n",
       "1   2023-07-31 19:39:28+00:00\n",
       "2   2023-08-08 06:54:37+00:00\n",
       "3   2023-07-26 13:25:39+00:00\n",
       "4   2023-08-09 12:58:22+00:00\n",
       "Name: date, dtype: datetime64[ns, UTC]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs['date'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "40336960",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs['date'] = dfs['date'].apply(lambda x: refactor_timezone(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "d3351da0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2023-07-13 17:16:01+01:00\n",
       "1   2023-07-31 20:39:28+01:00\n",
       "2   2023-08-08 07:54:37+01:00\n",
       "3   2023-07-26 14:25:39+01:00\n",
       "4   2023-08-09 13:58:22+01:00\n",
       "Name: date, dtype: datetime64[ns, Africa/Lagos]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs['date'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f90ac382",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "b116e137",
   "metadata": {},
   "outputs": [],
   "source": [
    "# dfs['day of week'] = dfs['date'].apply(lambda x: x.strftime('%A'))\n",
    "# dfs['day of week'] = pd.Categorical(dfs['day of week'], categories=['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'], ordered=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "66531c21",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs['dayofweek'] = dfs['date'].apply(lambda x: x.day_name())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "8fd85ef9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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>dayofweek</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-07-13 17:16:01+01:00</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-07-31 20:39:28+01:00</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-08-08 07:54:37+01:00</td>\n",
       "      <td>Tuesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-07-26 14:25:39+01:00</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-08-09 13:58:22+01:00</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       date  dayofweek\n",
       "0 2023-07-13 17:16:01+01:00   Thursday\n",
       "1 2023-07-31 20:39:28+01:00     Monday\n",
       "2 2023-08-08 07:54:37+01:00    Tuesday\n",
       "3 2023-07-26 14:25:39+01:00  Wednesday\n",
       "4 2023-08-09 13:58:22+01:00  Wednesday"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs[['date','dayofweek']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b4f6c5ae",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 74 entries, 0 to 73\n",
      "Data columns (total 6 columns):\n",
      " #   Column     Non-Null Count  Dtype                       \n",
      "---  ------     --------------  -----                       \n",
      " 0   subject    73 non-null     object                      \n",
      " 1   from       74 non-null     object                      \n",
      " 2   date       74 non-null     datetime64[ns, Africa/Lagos]\n",
      " 3   label      74 non-null     object                      \n",
      " 4   thread     74 non-null     int64                       \n",
      " 5   dayofweek  74 non-null     object                      \n",
      "dtypes: datetime64[ns, Africa/Lagos](1), int64(1), object(4)\n",
      "memory usage: 3.6+ KB\n"
     ]
    }
   ],
   "source": [
    "dfs.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "ae3506a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs['dayofweek'] = dfs.dayofweek.astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "a95d8ff1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 74 entries, 0 to 73\n",
      "Data columns (total 6 columns):\n",
      " #   Column     Non-Null Count  Dtype                       \n",
      "---  ------     --------------  -----                       \n",
      " 0   subject    73 non-null     object                      \n",
      " 1   from       74 non-null     object                      \n",
      " 2   date       74 non-null     datetime64[ns, Africa/Lagos]\n",
      " 3   label      74 non-null     object                      \n",
      " 4   thread     74 non-null     int64                       \n",
      " 5   dayofweek  74 non-null     category                    \n",
      "dtypes: category(1), datetime64[ns, Africa/Lagos](1), int64(1), object(3)\n",
      "memory usage: 3.4+ KB\n"
     ]
    }
   ],
   "source": [
    "dfs.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "b4e702b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs['timeofday'] = dfs['date'].apply(lambda x: x.hour + x.minute/60\n",
    "+ x.second/3600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "b6f545d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs['hour'] = dfs['date'].apply(lambda x: x.hour)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "40a795fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "# dfs['year_int'] = dfs['date'].apply(lambda x: x.year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "bc3141bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs[\"year\"]=dfs[\"date\"].apply(lambda x:x.year + x.dayofyear/365.25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "d39fa554",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs.index =dfs['date']\n",
    "del dfs['date']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "1aa90989",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\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>subject</th>\n",
       "      <th>from</th>\n",
       "      <th>label</th>\n",
       "      <th>thread</th>\n",
       "      <th>dayofweek</th>\n",
       "      <th>timeofday</th>\n",
       "      <th>hour</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-07-13 17:16:01+01:00</th>\n",
       "      <td>Dorcas, plan fun get-togethers with Google</td>\n",
       "      <td>googlecommunityteam-noreply@google.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1771322697187038003</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>17.266944</td>\n",
       "      <td>17</td>\n",
       "      <td>2023.531143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-31 20:39:28+01:00</th>\n",
       "      <td>=?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=</td>\n",
       "      <td>team@datacamp.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1772966242087974305</td>\n",
       "      <td>Monday</td>\n",
       "      <td>20.657778</td>\n",
       "      <td>20</td>\n",
       "      <td>2023.580424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-08 07:54:37+01:00</th>\n",
       "      <td>African Braids for Hoseadorcas</td>\n",
       "      <td>pinterest-recommendations@ideas.pinterest.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1773642897684053958</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>7.910278</td>\n",
       "      <td>7</td>\n",
       "      <td>2023.602327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-26 14:25:39+01:00</th>\n",
       "      <td>Critical security alert</td>\n",
       "      <td>no-reply@accounts.google.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1772491626425746422</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>14.427500</td>\n",
       "      <td>14</td>\n",
       "      <td>2023.566735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-09 13:58:22+01:00</th>\n",
       "      <td>On a mobile device? We got you covered</td>\n",
       "      <td>team@datacamp.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1773756379747392438</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>13.972778</td>\n",
       "      <td>13</td>\n",
       "      <td>2023.605065</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                subject  \\\n",
       "date                                                                      \n",
       "2023-07-13 17:16:01+01:00   Dorcas, plan fun get-togethers with Google    \n",
       "2023-07-31 20:39:28+01:00  =?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=   \n",
       "2023-08-08 07:54:37+01:00                African Braids for Hoseadorcas   \n",
       "2023-07-26 14:25:39+01:00                       Critical security alert   \n",
       "2023-08-09 13:58:22+01:00        On a mobile device? We got you covered   \n",
       "\n",
       "                                                                    from  \\\n",
       "date                                                                       \n",
       "2023-07-13 17:16:01+01:00         googlecommunityteam-noreply@google.com   \n",
       "2023-07-31 20:39:28+01:00                              team@datacamp.com   \n",
       "2023-08-08 07:54:37+01:00  pinterest-recommendations@ideas.pinterest.com   \n",
       "2023-07-26 14:25:39+01:00                   no-reply@accounts.google.com   \n",
       "2023-08-09 13:58:22+01:00                              team@datacamp.com   \n",
       "\n",
       "                           label               thread  dayofweek  timeofday  \\\n",
       "date                                                                          \n",
       "2023-07-13 17:16:01+01:00  inbox  1771322697187038003   Thursday  17.266944   \n",
       "2023-07-31 20:39:28+01:00  inbox  1772966242087974305     Monday  20.657778   \n",
       "2023-08-08 07:54:37+01:00  inbox  1773642897684053958    Tuesday   7.910278   \n",
       "2023-07-26 14:25:39+01:00  inbox  1772491626425746422  Wednesday  14.427500   \n",
       "2023-08-09 13:58:22+01:00  inbox  1773756379747392438  Wednesday  13.972778   \n",
       "\n",
       "                           hour         year  \n",
       "date                                          \n",
       "2023-07-13 17:16:01+01:00    17  2023.531143  \n",
       "2023-07-31 20:39:28+01:00    20  2023.580424  \n",
       "2023-08-08 07:54:37+01:00     7  2023.602327  \n",
       "2023-07-26 14:25:39+01:00    14  2023.566735  \n",
       "2023-08-09 13:58:22+01:00    13  2023.605065  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "26ef764e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>subject</th>\n",
       "      <th>from</th>\n",
       "      <th>label</th>\n",
       "      <th>thread</th>\n",
       "      <th>dayofweek</th>\n",
       "      <th>timeofday</th>\n",
       "      <th>hour</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-07-13 17:16:01+01:00</th>\n",
       "      <td>Dorcas, plan fun get-togethers with Google</td>\n",
       "      <td>googlecommunityteam-noreply@google.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1771322697187038003</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>17.266944</td>\n",
       "      <td>17</td>\n",
       "      <td>2023.531143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-31 20:39:28+01:00</th>\n",
       "      <td>=?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=</td>\n",
       "      <td>team@datacamp.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1772966242087974305</td>\n",
       "      <td>Monday</td>\n",
       "      <td>20.657778</td>\n",
       "      <td>20</td>\n",
       "      <td>2023.580424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-08 07:54:37+01:00</th>\n",
       "      <td>African Braids for Hoseadorcas</td>\n",
       "      <td>pinterest-recommendations@ideas.pinterest.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1773642897684053958</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>7.910278</td>\n",
       "      <td>7</td>\n",
       "      <td>2023.602327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-26 14:25:39+01:00</th>\n",
       "      <td>Critical security alert</td>\n",
       "      <td>no-reply@accounts.google.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1772491626425746422</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>14.427500</td>\n",
       "      <td>14</td>\n",
       "      <td>2023.566735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-09 13:58:22+01:00</th>\n",
       "      <td>On a mobile device? We got you covered</td>\n",
       "      <td>team@datacamp.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1773756379747392438</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>13.972778</td>\n",
       "      <td>13</td>\n",
       "      <td>2023.605065</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>2023-08-02 15:06:21+01:00</th>\n",
       "      <td>50% Off: Ends soon!</td>\n",
       "      <td>team@datacamp.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1773126479423854507</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>15.105833</td>\n",
       "      <td>15</td>\n",
       "      <td>2023.585900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-31 12:50:18+01:00</th>\n",
       "      <td>Dorcas, don't get left behind</td>\n",
       "      <td>team@datacamp.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1772936724835629352</td>\n",
       "      <td>Monday</td>\n",
       "      <td>12.838333</td>\n",
       "      <td>12</td>\n",
       "      <td>2023.580424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-10 17:23:55+01:00</th>\n",
       "      <td>=?utf-8?Q?=5bSlack=5d_New_messages_from_Gideon...</td>\n",
       "      <td>notification@slack.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1773859910185209994</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>17.398611</td>\n",
       "      <td>17</td>\n",
       "      <td>2023.607803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-13 20:42:30+01:00</th>\n",
       "      <td>=?utf-8?Q?=5bSlack=5d_Pablo_mentioned_you_in_=...</td>\n",
       "      <td>notification@slack.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1774144193715694645</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>20.708333</td>\n",
       "      <td>20</td>\n",
       "      <td>2023.616016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-08-07 12:23:48+01:00</th>\n",
       "      <td>book on data visualization.</td>\n",
       "      <td>tsakumoses4ril@gmail.com</td>\n",
       "      <td>inbox</td>\n",
       "      <td>1773569257710074661</td>\n",
       "      <td>Monday</td>\n",
       "      <td>12.396667</td>\n",
       "      <td>12</td>\n",
       "      <td>2023.599589</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>74 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                     subject  \\\n",
       "date                                                                           \n",
       "2023-07-13 17:16:01+01:00        Dorcas, plan fun get-togethers with Google    \n",
       "2023-07-31 20:39:28+01:00       =?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=   \n",
       "2023-08-08 07:54:37+01:00                     African Braids for Hoseadorcas   \n",
       "2023-07-26 14:25:39+01:00                            Critical security alert   \n",
       "2023-08-09 13:58:22+01:00             On a mobile device? We got you covered   \n",
       "...                                                                      ...   \n",
       "2023-08-02 15:06:21+01:00                                50% Off: Ends soon!   \n",
       "2023-07-31 12:50:18+01:00                      Dorcas, don't get left behind   \n",
       "2023-08-10 17:23:55+01:00  =?utf-8?Q?=5bSlack=5d_New_messages_from_Gideon...   \n",
       "2023-08-13 20:42:30+01:00  =?utf-8?Q?=5bSlack=5d_Pablo_mentioned_you_in_=...   \n",
       "2023-08-07 12:23:48+01:00                        book on data visualization.   \n",
       "\n",
       "                                                                    from  \\\n",
       "date                                                                       \n",
       "2023-07-13 17:16:01+01:00         googlecommunityteam-noreply@google.com   \n",
       "2023-07-31 20:39:28+01:00                              team@datacamp.com   \n",
       "2023-08-08 07:54:37+01:00  pinterest-recommendations@ideas.pinterest.com   \n",
       "2023-07-26 14:25:39+01:00                   no-reply@accounts.google.com   \n",
       "2023-08-09 13:58:22+01:00                              team@datacamp.com   \n",
       "...                                                                  ...   \n",
       "2023-08-02 15:06:21+01:00                              team@datacamp.com   \n",
       "2023-07-31 12:50:18+01:00                              team@datacamp.com   \n",
       "2023-08-10 17:23:55+01:00                         notification@slack.com   \n",
       "2023-08-13 20:42:30+01:00                         notification@slack.com   \n",
       "2023-08-07 12:23:48+01:00                       tsakumoses4ril@gmail.com   \n",
       "\n",
       "                           label               thread  dayofweek  timeofday  \\\n",
       "date                                                                          \n",
       "2023-07-13 17:16:01+01:00  inbox  1771322697187038003   Thursday  17.266944   \n",
       "2023-07-31 20:39:28+01:00  inbox  1772966242087974305     Monday  20.657778   \n",
       "2023-08-08 07:54:37+01:00  inbox  1773642897684053958    Tuesday   7.910278   \n",
       "2023-07-26 14:25:39+01:00  inbox  1772491626425746422  Wednesday  14.427500   \n",
       "2023-08-09 13:58:22+01:00  inbox  1773756379747392438  Wednesday  13.972778   \n",
       "...                          ...                  ...        ...        ...   \n",
       "2023-08-02 15:06:21+01:00  inbox  1773126479423854507  Wednesday  15.105833   \n",
       "2023-07-31 12:50:18+01:00  inbox  1772936724835629352     Monday  12.838333   \n",
       "2023-08-10 17:23:55+01:00  inbox  1773859910185209994   Thursday  17.398611   \n",
       "2023-08-13 20:42:30+01:00  inbox  1774144193715694645     Sunday  20.708333   \n",
       "2023-08-07 12:23:48+01:00  inbox  1773569257710074661     Monday  12.396667   \n",
       "\n",
       "                           hour         year  \n",
       "date                                          \n",
       "2023-07-13 17:16:01+01:00    17  2023.531143  \n",
       "2023-07-31 20:39:28+01:00    20  2023.580424  \n",
       "2023-08-08 07:54:37+01:00     7  2023.602327  \n",
       "2023-07-26 14:25:39+01:00    14  2023.566735  \n",
       "2023-08-09 13:58:22+01:00    13  2023.605065  \n",
       "...                         ...          ...  \n",
       "2023-08-02 15:06:21+01:00    15  2023.585900  \n",
       "2023-07-31 12:50:18+01:00    12  2023.580424  \n",
       "2023-08-10 17:23:55+01:00    17  2023.607803  \n",
       "2023-08-13 20:42:30+01:00    20  2023.616016  \n",
       "2023-08-07 12:23:48+01:00    12  2023.599589  \n",
       "\n",
       "[74 rows x 8 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs.loc[\"2023\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6020791",
   "metadata": {},
   "source": [
    "# data analysis \n",
    "# how many email did i send during a time frame\n",
    "# at wat time of the day do i receive data\n",
    "# what is the average of email perday \n",
    "# what is the average of email perhour\n",
    "# whom do i communicate with most frequently\n",
    "# what are the most  active emailing days\n",
    "# what am i mostly email about"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "379fd933",
   "metadata": {},
   "source": [
    "# 1 numbers of email"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "f6e3e3c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mon, 26 Jun 2023 01:21 PM\n",
      "Mon, 14 Aug 2023 01:54 PM\n",
      "inbox    73\n",
      "sent      1\n",
      "Name: label, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(dfs.index.min().strftime('%a, %d %b %Y %I:%M %p'))\n",
    "print(dfs.index.max().strftime('%a, %d %b %Y %I:%M %p'))\n",
    "print(dfs['label'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "dc81af9b",
   "metadata": {},
   "outputs": [],
   "source": [
    "sent = dfs[dfs['label']=='sent']\n",
    "received = dfs[dfs['label']=='inbox']\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4451e6de",
   "metadata": {},
   "source": [
    "# time of day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "15a19811",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import MaxNLocator\n",
    "from scipy import ndimage\n",
    "import matplotlib.gridspec as gridspec\n",
    "import matplotlib.patches as mpatches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "ebcab1e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_todo_vs_year(df, ax, color='C0', s=20, title=''):\n",
    "    ind = np.zeros(len(df), dtype='bool')\n",
    "    est = pytz.timezone('Africa/Lagos')\n",
    "    df[~ind].plot.scatter('year', 'timeofday', s=s, alpha=0.6, ax=ax, color=color)\n",
    "    ax.set_ylim(0, 24)\n",
    "    ax.yaxis.set_major_locator(MaxNLocator(8))\n",
    "    ax.set_yticklabels([datetime.datetime.strptime(str(int(np.mod(ts, 24))), \"%H\").strftime(\"%I %p\") for ts in ax.get_yticks()]);\n",
    "    ax.set_xlim(2020, 2025)\n",
    "    ax.set_xlabel('')\n",
    "    ax.set_ylabel('')\n",
    "    ax.set_title(title)\n",
    "    ax.grid(ls=':', color='k')\n",
    "    return ax\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "de339dbf",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\MELISA\\AppData\\Local\\Temp\\ipykernel_5340\\1962557207.py:7: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_yticklabels([datetime.datetime.strptime(str(int(np.mod(ts, 24))), \"%H\").strftime(\"%I %p\") for ts in ax.get_yticks()]);\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Received'}>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(15, 4))\n",
    "plot_todo_vs_year(sent, ax[0], title='Sent')\n",
    "plot_todo_vs_year(received, ax[1], title='Received')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "f7bc3174",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "inbox    73\n",
       "sent      1\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs['label'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "83630b84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Dorcas, plan fun get-togethers with Google ',\n",
       "       '=?UTF-8?q?Trending_AI_Content_=F0=9F=93=88?=',\n",
       "       'African Braids for Hoseadorcas', 'Critical security alert',\n",
       "       'On a mobile device? We got you covered',\n",
       "       '=?utf-8?Q?=f0=9f=93=84_New_messages_from_=32_conversations_in_CoLab?=',\n",
       "       'Learn more about Python Lists',\n",
       "       '=?utf-8?Q?On-Call=20Code=20Examples=20-=20So=20What=20is=20Grepper=20Anyway=3F?=',\n",
       "       '=?utf-8?Q?Slack_confirmation_code=3a_GO=37=2dKAF?=',\n",
       "       'CoLab on Slack: New Account Details',\n",
       "       'Please verify your email address',\n",
       "       'Hoseadorcas, these ideas are so you', 'Last Chance: 50% Off',\n",
       "       '=?UTF-8?Q?=E2=9C=85_Dorcas=2C_finish_setting_up_your_Gionee_F103B_devi?=\\r\\n\\t=?UTF-8?Q?ce_with_Google?=',\n",
       "       'Please confirm your email',\n",
       "       '=?utf-8?Q?=5bSlack=5d_Moze=2e_sent_you_a_message?=',\n",
       "       '=?utf-8?Q?=5bSlack=5d_New_messages_from_Pablo_and_Slackbot_in_CoLab?=',\n",
       "       \"Get certified and prove you're job-ready!\",\n",
       "       '=?UTF-8?q?Get_certified=E2=80=94take_your_career_to_the_next_level!?=',\n",
       "       '=?UTF-8?q?Reminder:_You=E2=80=99re_invited_to_join_the_Afriblocks_23/24_g?=\\r\\n =?UTF-8?q?roup_on_DataCamp?=',\n",
       "       'Password Reset', 'You earned 1035 XP this week + new course!',\n",
       "       'You earned 270 XP this week + new course!',\n",
       "       '=?UTF-8?Q?You=E2=80=99re_officially_a_Kaggler=2E_Now_what=3F?=',\n",
       "       'The Book',\n",
       "       '=?utf-8?Q?=f0=9f=93=84_New_messages_from_=31_conversations_in_CoLab?=',\n",
       "       'has invited you to join Afriblocks 23/24 on DataCamp',\n",
       "       'Welcome to CoLab!',\n",
       "       '=?utf-8?Q?=5bSlack=5d_New_messages_from_Pablo_and_Gideon_in_CoLab?=',\n",
       "       '=?utf-8?Q?=5bSlack=5d_New_messages_from_Gwachat_and_Pablo_in_CoLab?=',\n",
       "       '=?utf-8?Q?Slack_confirmation_code=3a_ZVU=2dUNW?=',\n",
       "       'Dorcas, apply your skills with Projects',\n",
       "       '=?UTF-8?Q?Spreadsheet_shared_with_you=3A_=E2=80=98Colab_Group_3=E2=80=99?=',\n",
       "       '=?utf-8?Q?Moze=2e_and_=31_other_sent_you_messages?=',\n",
       "       'Dorcas, here are three ways to improve your account security',\n",
       "       'Dorcas, finish setting up your new Google Account',\n",
       "       '=?utf-8?Q?Slack_confirmation_code=3a_GO=37=2dLXM?=',\n",
       "       'Security alert',\n",
       "       '=?utf-8?Q?=5bSlack=5d_New_messages_from_colabkd=40gmail=2ecom_and_B=2eK_in_CoLab?=',\n",
       "       'Makeup Techniques For Beginners, How To Put On Makeup For Beginners and more searches like How To Do Makeup For Beginners',\n",
       "       nan, 'Goddess Braids for Hoseadorcas',\n",
       "       'Challenge: Complete 1 chapter today',\n",
       "       'Re: CoLab Internet Voucher', 'CoLab Internet Voucher',\n",
       "       'Sanusi Ismaila has invited you to work with them in Slack',\n",
       "       '=?utf-8?B?8J+RiyBQbGVhc2UgY29uZmlybSB5b3VyIGVtYWls?=',\n",
       "       'Want to close your knowledge gaps faster?',\n",
       "       \"You're all set to get the latest from Google\",\n",
       "       '=?utf-8?Q?=5bSlack=5d_New_messages_from_Goodness_Ukaigwe_and_Pablo_in_CoLab?=',\n",
       "       'Fwd: Data Science', 'Pablo sent you messages',\n",
       "       '=?UTF-8?b?UmVhZHk/IExldCdzIGdvISDwn5Kq?=',\n",
       "       '=?UTF-8?q?It=E2=80=99s_really_that_easy=3F_Yes.?=',\n",
       "       'These ideas are so you',\n",
       "       '=?utf-8?Q?Unlocking=20All=20Advanced=20Features:=20Grepper=20is=20Now=20Fully=20Free!?=',\n",
       "       'Welcome to a wonderful world of learning', 'Confirm your account',\n",
       "       'Welcome to the Data Scientist  with Python track',\n",
       "       'Hairstyles for Hoseadorcas',\n",
       "       '\"Natural Hair Twists\" and more ideas',\n",
       "       '=?UTF-8?q?DataCamp_features_you_don=E2=80=99t_want_to_miss!?=',\n",
       "       '50% Off: Ends soon!', \"Dorcas, don't get left behind\",\n",
       "       '=?utf-8?Q?=5bSlack=5d_New_messages_from_Gideon_and_Pablo_in_CoLab?=',\n",
       "       '=?utf-8?Q?=5bSlack=5d_Pablo_mentioned_you_in_=23data=2dscience=2dschool=2d=31=30?=',\n",
       "       'book on data visualization.'], dtype=object)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs[\"subject\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7eee5a28",
   "metadata": {},
   "source": [
    "# number of email perday"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "191636c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "counts = dfs.dayofweek.value_counts(sort=False)\n",
    "counts.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "2b82bb09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sdw = sent.groupby('dayofweek').size() / len(sent)\n",
    "rdw = received.groupby('dayofweek').size() / len(received)\n",
    "df_tmp = pd.DataFrame(data={'Outgoing Email': sdw, 'Incoming Email':rdw})\n",
    "df_tmp.plot(kind='bar', rot=45, figsize=(8,5), alpha=0.5)\n",
    "plt.xlabel('');\n",
    "plt.ylabel('Fraction of weekly emails');\n",
    "plt.grid(ls=':', color='k', alpha=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ba31d7b",
   "metadata": {},
   "source": [
    "# average email perday and hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "421c3147",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_number_perday_per_year(df, ax, label=None, dt=0.3,\n",
    "    **plot_kwargs):\n",
    "    year = df[df['year'].isnull()]['year'].values\n",
    "    T = year.max() - year.min()\n",
    "    bins = int(T / dt)\n",
    "    weights = 1 / (np.ones_like(year) * dt * 365.25)\n",
    "    ax.hist(year, bins=bins, weights=weights, label=label, **plot_kwargs);\n",
    "    ax.grid(ls=':', color='k')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ebf50c0",
   "metadata": {},
   "source": [
    "# average email perhour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "93b9d21f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_number_perdhour_per_year(df, ax, label=None, dt=1, smooth=False, weight_fun=None, **plot_kwargs):\n",
    "    tod = df[df['timeofday'].isnull()]['timeofday'].values\n",
    "    year = df[df['year'].isnull()]['year'].values\n",
    "    Ty = year.max() - year.min()\n",
    "    T = tod.max() - tod.min()\n",
    "    bins = int(T / dt)\n",
    "    if weight_fun is None:\n",
    "        weights = 1 / (np.ones_like(tod) * Ty * 365.25 / dt)\n",
    "    else:\n",
    "        weights = weight_fun(df)\n",
    "    if smooth:\n",
    "        hst, xedges = np.histogram(tod, bins=bins, weights=weights);\n",
    "        x = np.delete(xedges, -1) + 0.5*(xedges[1] - xedges[0])\n",
    "        hst = ndimage.gaussian_filter(hst, sigma=0.75)\n",
    "        f = interp1d(x, hst, kind='cubic')\n",
    "        x = np.linspace(x.min(), x.max(), 10000)\n",
    "        hst = f(x)\n",
    "        ax.plot(x, hst, label=label, **plot_kwargs)\n",
    "    else:\n",
    "        ax.hist(tod, bins=bins, weights=weights, label=label, **plot_kwargs);\n",
    "        ax.grid(ls=':', color='k')\n",
    "        orientation = plot_kwargs.get('orientation')\n",
    "    if orientation is None or orientation == 'vertical':\n",
    "        ax.set_xlim(0, 24)\n",
    "        ax.xaxis.set_major_locator(MaxNLocator(8))\n",
    "        ax.set_xticklabels([datetime.datetime.strptime(str(int(np.mod(ts,\n",
    "                                                                      24))), \"%H\").strftime(\"%I %p\")\n",
    "                             for ts in ax.get_xticks()]);\n",
    "    elif orientation == 'horizontal':\n",
    "        ax.set_ylim(0, 24)\n",
    "        ax.yaxis.set_major_locator(MaxNLocator(8))\n",
    "        ax.set_yticklabels([datetime.datetime.strptime(str(int(np.mod(ts, 24))), \"%H\").strftime(\"%I %p\")\n",
    "                             for ts in ax.get_yticks()]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a46dd21",
   "metadata": {},
   "source": [
    "# class that plot the tme,year within time frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "5e3977ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from wordcloud import WordCloud\n",
    "df_no_arxiv = dfs[dfs['from'] != 'no-reply@arXiv.org']\n",
    "text = ' '.join(map(str, sent['subject'].values))\n",
    "stopwords = ['Re', 'Fwd', '3A_']\n",
    "wrd = WordCloud(width=700, height=480, margin=0, collocations=False)\n",
    "for sw in stopwords:\n",
    "    wrd.stopwords.add(sw)\n",
    "wordcloud = wrd.generate(text)\n",
    "plt.figure(figsize=(25,15))\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")\n",
    "plt.margins(x=0, y=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "14b0bdd9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22ee28fc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}