8. What time do they upload videos.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# At what time does your favorite YouTubers upload videos? \n",
    " \n",
    "https://www.youtube.com/watch?v=-QMg39gK624&list=PLyb_C2HpOQSBJRh38CTPvsouV4SBpyt_H"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime, timedelta\n",
    "from apiclient.discovery import build"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "YOUTUBE_DEVELOPER_KEY = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxx'\n",
    "youtube = build('youtube', 'v3', developerKey=YOUTUBE_DEVELOPER_KEY)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_channel(channel_name):\n",
    "    return youtube.search().list(q=channel_name, type='channel', part='id,snippet').execute()['items'][0]\n",
    "\n",
    "\n",
    "def get_videos(channel_id, part='id,snippet', limit=10):\n",
    "    res = youtube.channels().list(id=channel_id, \n",
    "                                  part='contentDetails').execute()\n",
    "    playlist_id = res['items'][0]['contentDetails']['relatedPlaylists']['uploads']\n",
    "    \n",
    "    videos = []\n",
    "    next_page_token = None\n",
    "    \n",
    "    while 1:\n",
    "        res = youtube.playlistItems().list(playlistId=playlist_id, \n",
    "                                           part=part, \n",
    "                                           maxResults=min(limit, 50),\n",
    "                                           pageToken=next_page_token).execute()\n",
    "        videos += res['items']\n",
    "        next_page_token = res.get('nextPageToken')\n",
    "        \n",
    "        if next_page_token is None or len(videos) >= limit:\n",
    "            break\n",
    "\n",
    "    return videos\n",
    "\n",
    "def parse_publish_timestamp(video):\n",
    "    return (datetime.strptime(video['snippet']['publishedAt'], \"%Y-%m-%dT%H:%M:%S.000Z\")\n",
    "            + timedelta(hours=5, minutes=30))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "channel_id = get_channel('t-series')['id']['channelId']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "videos = get_videos(channel_id, limit=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "publish_timestamps = [parse_publish_timestamp(video) for video in videos]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "publish_times = [t.hour + t.minute/60 for t in publish_timestamps]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe8436252e8>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(publish_times, bins=24)\n",
    "plt.xticks(range(24))\n",
    "plt.show()"
   ]
  }
 ],
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