{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "shiori_views = [22344,17775,17905,27821,10361,0,23007,14070,12270,7854,7109,4760,5734,0,0,0,0,0,0,0,0,10482,0,8747,7406,4759,0,0,8023]\n",
    "fuwamoco_views = [15080,15699,18149,11639,13947,27236,25134,13299,16977,9485,11484,9310,19874,7102,5554,13407,8258,8343,10289,0,0,3624,8791,5153,8393,8625,21681,3771,0]\n",
    "gura_views = [20259,12150,0,14246,0,12179,0,14339,12035,0,0,14693,0,16675,12137,0,0,12979,0,0,0,0,0,0,0,0,0,0,0]\n",
    "nerissa_views = [15422,11578,13558,11848,9158,6809,24372,0,10333,6552,12229,4621,6963,13048,12483,10931,11987,6105,5880,6600,0,0,8976,5372,4234,5502,8075,5153,8251]\n",
    "koseki_views = [17015,9282,13923,8904,7849,13179,22956,10593,9061,11163,6350,5302,11932,12102,12400,6096,6552,4483,10052,0,8395,10564,8795,8189,9046,7001,8850,8176,0]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[31, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28]\n"
     ]
    }
   ],
   "source": [
    "x = []\n",
    "for i in range(29):\n",
    "    x.append((datetime.datetime(2023, 7, 31) + datetime.timedelta(days=i)).day)\n",
    "\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vtubers = {\"Shiori\", \"Fuwamoco\", \"Gura\", \"Nerissa\", \"Koseki\"}\n",
    "\n",
    "r = np.arange(len(x))\n",
    "width = .25\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.bar(r - .5, shiori_views, width, label=\"Shiori\")\n",
    "ax.bar(r - .25, fuwamoco_views, width, label=\"Fuwamoco\")\n",
    "ax.bar(r, gura_views, width, label=\"Gura\")\n",
    "ax.bar(r + .25, nerissa_views, width, label=\"Nerissa\")\n",
    "ax.bar(r + .5, koseki_views, width, label=\"Koseki\")\n",
    "ax.legend()\n",
    "ax.set_xlabel(\"Date\")\n",
    "ax.set_ylabel(\"Average CCV\")\n",
    "plt.xticks(r + width/2, x)\n",
    "fig.autofmt_xdate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Advent average with gura: \n",
      "[17465, 13583, 15053, 15741, 12654, 12160, 5998, 10750, 10145, 6310]\n",
      "Advent average without gura: \n",
      "[15883, 10328, 8763, 9293, 11125, 10144, 8932]\n",
      "Final Advent average with gura: \n",
      "11985.9\n",
      "Final Advent average without gura: \n",
      "10638.285714285714\n"
     ]
    }
   ],
   "source": [
    "advent_average_with_gura = []\n",
    "advent_average_without_gura = []\n",
    "advent = [shiori_views, fuwamoco_views, nerissa_views, koseki_views]\n",
    "\n",
    "for i in range(18):\n",
    "    if i == 6:\n",
    "        continue\n",
    "    total_views = 0\n",
    "    streamers = 0\n",
    "    for views in advent:\n",
    "        if views[i] != 0:\n",
    "            streamers += 1\n",
    "            total_views += views[i]\n",
    "    if gura_views[i] == 0:\n",
    "        advent_average_without_gura.append(int(total_views / streamers))\n",
    "    else:\n",
    "        advent_average_with_gura.append(int(total_views / streamers))\n",
    "\n",
    "print(\"Advent average with gura: \")\n",
    "print(advent_average_with_gura)\n",
    "print(\"Advent average without gura: \")\n",
    "print(advent_average_without_gura)\n",
    "\n",
    "final_average_with_gura = sum(advent_average_with_gura) / len(advent_average_with_gura)\n",
    "final_average_without_gura = sum(advent_average_without_gura) / len(advent_average_without_gura)\n",
    "\n",
    "print(\"Final Advent average with gura: \")\n",
    "print(final_average_with_gura)\n",
    "print(\"Final Advent average without gura: \")\n",
    "print(final_average_without_gura)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[17465, 13583, 15883, 15053, 10328, 15741, 23867, 12654, 12160, 8763, 9293, 5998, 11125, 10750, 10145, 10144, 8932, 6310, 8740, 6600, 8395, 8223, 8854, 6865, 7269, 6471, 12868, 5700, 8137]\n"
     ]
    }
   ],
   "source": [
    "average_advent_views = []\n",
    "for i in range(29):\n",
    "    total_views = 0\n",
    "    streamers = 0\n",
    "    for views in advent:\n",
    "        if views[i] != 0:\n",
    "            streamers += 1\n",
    "            total_views += views[i]\n",
    "    average_advent_views.append(int(total_views / streamers))\n",
    "\n",
    "print(average_advent_views)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "width = datetime.timedelta(days=1)\n",
    "color = []\n",
    "for i in range(len(gura_views)):\n",
    "    if gura_views[i] == 0:\n",
    "        color.append(\"red\")\n",
    "    else:\n",
    "        color.append(\"blue\")\n",
    "\n",
    "x = []\n",
    "for i in range(29):\n",
    "    x.append((datetime.datetime(2023, 7, 31) + datetime.timedelta(days=i)))\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.bar(x, average_advent_views, width, color = color)\n",
    "ax.vlines(x = datetime.datetime(2023,8,17), ymin=0, ymax = max(average_advent_views), color = 'r', label = \"Gura stops streaming\")\n",
    "ax.legend()\n",
    "ax.set_xlabel(\"Date\")\n",
    "ax.set_ylabel(\"Average CCV\")\n",
    "fig.autofmt_xdate()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Gura\n",
    "{\n",
    "    \"actualStartTime\": \"2023-08-06T00:01:10Z\",\n",
    "    \"actualEndTime\": \"2023-08-06T07:04:58Z\",\n",
    "    \"scheduledStartTime\": \"2023-08-06T00:00:00Z\"\n",
    "}\n",
    "\n",
    "Bijou\n",
    "{\n",
    "    \"actualStartTime\": \"2023-08-06T00:07:57Z\",\n",
    "    \"actualEndTime\": \"2023-08-06T07:17:06Z\",\n",
    "    \"scheduledStartTime\": \"2023-08-06T00:15:00Z\"\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12121.888888888889\n",
      "8011.090909090909\n"
     ]
    }
   ],
   "source": [
    "during_gura = sum(average_advent_views[:18]) / 18\n",
    "after_gura = sum(average_advent_views[18:]) / (len(average_advent_views[18:]))\n",
    "\n",
    "print(during_gura)\n",
    "print(after_gura)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8882.75\n",
      "7989.5\n"
     ]
    }
   ],
   "source": [
    "during_gura = sum(average_advent_views[14:18]) / 4\n",
    "after_gura = sum(average_advent_views[18:22]) / 4\n",
    "\n",
    "print(during_gura)\n",
    "print(after_gura)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}