{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "81135c26-4b6e-4a41-85ec-95b8a3d206c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import dates as mdates\n",
    "import time\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eb518350-6365-456e-88ca-6723591b6ea4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('~/shared/public/Ian/ros_ids_complete.csv')\n",
    "incidents = df.story.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "c3a75fb4-83af-415b-a9b6-b0c42e69a4d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['day'] = pd.to_datetime(df.created_at).dt.date\n",
    "day_tweets = df.value_counts(['day','partisan_lean']).reset_index().copy()\n",
    "day_tweets.columns = ['day', 'partisan_lean', 'count']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "0af7302b-cacc-4339-9d07-ed1f6615b36c",
   "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>day</th>\n",
       "      <th>tweets_per_day</th>\n",
       "      <th>count_left</th>\n",
       "      <th>count_right</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>25388</td>\n",
       "      <td>1376.0</td>\n",
       "      <td>20709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-09-02</td>\n",
       "      <td>15576</td>\n",
       "      <td>1938.0</td>\n",
       "      <td>11092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-09-03</td>\n",
       "      <td>15418</td>\n",
       "      <td>2413.0</td>\n",
       "      <td>10160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-09-04</td>\n",
       "      <td>35350</td>\n",
       "      <td>9733.0</td>\n",
       "      <td>21701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-09-05</td>\n",
       "      <td>14952</td>\n",
       "      <td>3518.0</td>\n",
       "      <td>9053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2020-12-11</td>\n",
       "      <td>361893</td>\n",
       "      <td>6770.0</td>\n",
       "      <td>340653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2020-12-12</td>\n",
       "      <td>352443</td>\n",
       "      <td>4427.0</td>\n",
       "      <td>333006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2020-12-13</td>\n",
       "      <td>352605</td>\n",
       "      <td>6802.0</td>\n",
       "      <td>333502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2020-12-14</td>\n",
       "      <td>1357420</td>\n",
       "      <td>8930.0</td>\n",
       "      <td>1310080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2020-12-15</td>\n",
       "      <td>26</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>106 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            day  tweets_per_day  count_left  count_right\n",
       "0    2020-09-01           25388      1376.0        20709\n",
       "1    2020-09-02           15576      1938.0        11092\n",
       "2    2020-09-03           15418      2413.0        10160\n",
       "3    2020-09-04           35350      9733.0        21701\n",
       "4    2020-09-05           14952      3518.0         9053\n",
       "..          ...             ...         ...          ...\n",
       "101  2020-12-11          361893      6770.0       340653\n",
       "102  2020-12-12          352443      4427.0       333006\n",
       "103  2020-12-13          352605      6802.0       333502\n",
       "104  2020-12-14         1357420      8930.0      1310080\n",
       "105  2020-12-15              26         0.0           26\n",
       "\n",
       "[106 rows x 4 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_counts = day_tweets.groupby('day').sum().reset_index()\n",
    "day_counts.columns = ['day', 'tweets_per_day']\n",
    "left_tweets = day_tweets.loc[day_tweets.partisan_lean == 'left', ['day', 'count']]\n",
    "left_tweets.columns = ['day', 'count_left']\n",
    "right_tweets = day_tweets.loc[day_tweets.partisan_lean == 'right', ['day', 'count']]\n",
    "right_tweets.columns = ['day', 'count_right']\n",
    "partisan_day_tweets = day_counts.merge(left_tweets, how = 'left').merge(right_tweets, how = 'left').fillna(0).copy()\n",
    "partisan_day_tweets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "a09745c5-eb2c-4236-8dd6-c5af7111ecba",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Calculate the proportion of all labeled tweets on each partisian side\n",
    "partisan_day_tweets['prop_right'] = partisan_day_tweets.count_right/(partisan_day_tweets.count_right + partisan_day_tweets.count_left)\n",
    "partisan_day_tweets['prop_left'] = partisan_day_tweets.count_left/(partisan_day_tweets.count_right + partisan_day_tweets.count_left)\n",
    "\n",
    "# multiply the proportion agianst the count of _all_ tweets from that day to get\n",
    "# the estimated number of tweets from that day from Biden and Trump supporters\n",
    "partisan_day_tweets['est_right_spread'] = partisan_day_tweets.tweets_per_day * partisan_day_tweets.prop_right\n",
    "partisan_day_tweets['est_left_spread'] = partisan_day_tweets.tweets_per_day * partisan_day_tweets.prop_left * -1\n",
    "partisan_day_tweets = partisan_day_tweets.fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "081999d2-9aa3-4984-ab16-0a02c3858712",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.9/site-packages/pandas/plotting/_matplotlib/core.py:677: UserWarning: The handle <matplotlib.lines.Line2D object at 0x7fb648b6e970> has a label of '_hide' which cannot be automatically added to the legend.\n",
      "  ax.legend(handles, labels, loc=\"best\", title=title)\n",
      "/opt/conda/lib/python3.9/site-packages/pandas/plotting/_matplotlib/core.py:677: UserWarning: The handle <matplotlib.lines.Line2D object at 0x7fb648b7b970> has a label of '_hide' which cannot be automatically added to the legend.\n",
      "  ax.legend(handles, labels, loc=\"best\", title=title)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.YTick at 0x7fb79d569640>,\n",
       "  <matplotlib.axis.YTick at 0x7fb79d569b50>,\n",
       "  <matplotlib.axis.YTick at 0x7fb7a88d6340>,\n",
       "  <matplotlib.axis.YTick at 0x7fb648b98880>,\n",
       "  <matplotlib.axis.YTick at 0x7fb648b990a0>,\n",
       "  <matplotlib.axis.YTick at 0x7fb648b99760>],\n",
       " [Text(0, -500000.0, '500,000 left'),\n",
       "  Text(0, 0.0, '0'),\n",
       "  Text(0, 500000.0, '500,000 right'),\n",
       "  Text(0, 1000000.0, '1,000,000 right'),\n",
       "  Text(0, 1500000.0, '1,500,000 right'),\n",
       "  Text(0, 2000000.0, '2,000,000 right')])"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "partisan_day_tweets['unlabeled'] = .5*(partisan_day_tweets.tweets_per_day - partisan_day_tweets.count_right - partisan_day_tweets.count_left)\n",
    "partisan_day_tweets['unlabeled_neg'] = -.5*(partisan_day_tweets.tweets_per_day - partisan_day_tweets.count_right - partisan_day_tweets.count_left)\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "min_date = partisan_day_tweets.day.min()\n",
    "max_date = partisan_day_tweets.day.max()\n",
    "partisan_day_tweets['count_left'] = partisan_day_tweets['count_left']*-1\n",
    "# set the main title\n",
    "fig.suptitle(f'FIG 2: Misinformation Tweets Per Day', fontsize=30)\n",
    "partisan_day_tweets.plot(\"day\", 'count_right', xlabel = 'UTC', label = \"Trump Supporting Accounts\", alpha = .9, ax = ax, color = 'red', figsize = (18,12))\n",
    "partisan_day_tweets.plot(\"day\", 'count_left', xlabel = 'UTC', label = \"Biden Supporting Accounts\", alpha = .9, ax = ax, color = 'blue', figsize = (18,12))\n",
    "partisan_day_tweets.plot(\"day\", 'unlabeled_neg', xlabel = 'UTC', alpha = .9, ax = ax, color = 'black', figsize = (20,12), label = '_hide')\n",
    "partisan_day_tweets.plot(\"day\", 'unlabeled', xlabel = 'UTC', alpha = .9, ax = ax, color = 'black', figsize = (20,12), label = '_hide')\n",
    "ax.fill(partisan_day_tweets.day,partisan_day_tweets.unlabeled_neg, 'grey', alpha = .6)\n",
    "ax.fill(partisan_day_tweets.day,partisan_day_tweets.unlabeled, 'grey', alpha = .6, label = \"No Partisan Label\")\n",
    "ax.hlines(0,min_date, max_date, colors= 'grey', linewidth = .5)\n",
    "# Note that I put the 'Election Day' Line on 11-4 to better signal the time when the voting was happening\n",
    "ax.vlines(datetime.datetime.strptime('2020-11-04', '%Y-%m-%d'),min(partisan_day_tweets.est_right_spread.min(),partisan_day_tweets.est_left_spread.min()), max(partisan_day_tweets.est_right_spread.max(),partisan_day_tweets.est_left_spread.max()), colors= 'black', linestyles = 'dotted')\n",
    "ax.text(datetime.datetime.strptime('2020-10-17', '%Y-%m-%d'), 1.7e6, \"Election Day\", fontsize = 25)\n",
    "ax.legend(fontsize = 25)\n",
    "ax.set_xlabel(\"Date in UTC\", fontsize = 20)\n",
    "ax.set_ylabel(\"Partisan Spread\", fontsize = 25)\n",
    "# ax.ticklabel_format(style = 'plain', axis = 'y')\n",
    "plt.yticks([-5e5,0,5e5,1e6,1.5e6,2e6], ['500,000 left', '0', '500,000 right', '1,000,000 right', '1,500,000 right', '2,000,000 right'], fontsize = 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67a13a73-cf94-4789-984c-4afcdd04e35a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c284628f-30c8-47ce-b0b4-b6105e6f9a27",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "new_hub",
   "language": "python",
   "name": "myenv"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
