Untitled3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pymongo\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from pylab import mpl  \n",
    "mpl.rcParams['font.sans-serif'] = ['SimHei'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "client = pymongo.MongoClient(host='localhost', port=27017)\n",
    "db = client['music']\n",
    "collection = db['menu']\n",
    "# 将数据库数据转为dataFrame\n",
    "data = pd.DataFrame(list(collection.find()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(66, 2)\n"
     ]
    }
   ],
   "source": [
    "print(data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "num=data['playlists']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'name': '你是个成熟的成年人了，你该戒掉情绪了。', 'id': 2468145627, 'trackNumberUpdateTime': 1540176152147, 'status': 0, 'userId': 49341371, 'createTime': 1539449979814, 'updateTime': 1540176152147, 'subscribedCount': 58406, 'trackCount': 43, 'cloudTrackCount': 0, 'coverImgUrl': 'http://p2.music.126.net/qXN1QIV_mGUV1BusdRX1CA==/109951163602371733.jpg', 'coverImgId': 109951163602371730, 'description': '-\\n\\n你要做一个不动声色的大人了。不准情绪化，不准偷偷想念，不准回头看。去过自己另外的生活。\\n\\n以前的你，哭着哭着就笑了。\\n\\n现在的你，笑着笑着就哭了。\\n\\n到了一定的年纪，眼泪越来越少，因为身边再也没有一个能帮你擦眼泪的人。\\n\\n在成年人的世界里，最让人想哭的三个字是：不要哭。\\n\\n-\\n\\n人生还有眼泪也冲刷不干净的巨大悲伤，还有难忘的痛苦让你们即使想哭也不能流泪。\\n\\n怀揣着痛苦和悲伤，即使如此也要带上它们笑着前行。\\n\\n-\\n\\n如果可以，往后请让笑容比眼泪多。就算要哭，每一滴眼泪的名字也应该是——喜极而泣。\\n\\n-\\n\\n封面:站酷插画师Y_jianjian', 'tags': ['华语', '流行', '治愈'], 'playCount': 4370831, 'trackUpdateTime': 1546744947197, 'specialType': 0, 'totalDuration': 0, 'creator': {'defaultAvatar': False, 'province': 440000, 'authStatus': 0, 'followed': False, 'avatarUrl': 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'avatarImgId_str': '109951163412189188'}], 'subscribed': None, 'commentThreadId': 'A_PL_0_2530668718', 'newImported': False, 'adType': 0, 'highQuality': False, 'privacy': 0, 'ordered': True, 'anonimous': False, 'shareCount': 130, 'coverImgId_str': '109951163771774347', 'commentCount': 44, 'alg': 'alg_sq_offline'}, {'name': 'Tokyo Ghoul™', 'id': 2467999839, 'trackNumberUpdateTime': 1546358867229, 'status': 0, 'userId': 316344609, 'createTime': 1539443633909, 'updateTime': 1546358867229, 'subscribedCount': 16659, 'trackCount': 15, 'cloudTrackCount': 0, 'coverImgUrl': 'http://p2.music.126.net/HXM0JydZ5TyppnWlp5faWA==/109951163602128728.jpg', 'coverImgId': 109951163602128740, 'description': '喰種一到四季OP ED收錄，封禁的歌曲在我的電台中\\n其中三首虽然标题写的是Cover，但是是原唱上传\\n第一季OP&ED：unravel 聖者たち\\n第二季OP&ED：無能 季節は次々死んでいく\\n第三季OP&ED：Asphyxia HALF\\n第四季OP&ED：Katharsis 楽園の君\\n第二季第二集插曲：Glassy Sky\\n第三季第二集插曲：Remembering\\n\\n1.第二季op無能在我的电台(包括glassy sky)\\n2.下载方式:点击电台下载↣下载完毕↣打开文件管理↣找到本地音乐或文件夹中的网易云音乐↣上传网易云音乐云盘\\n3.请勿在评论区出现于歌单无关的闲语或过激言论', 'tags': ['日语', 'ACG', '感动'], 'playCount': 356368, 'trackUpdateTime': 1547033933909, 'specialType': 0, 'totalDuration': 0, 'creator': {'defaultAvatar': False, 'province': 1000000, 'authStatus': 0, 'followed': False, 'avatarUrl': 'http://p1.music.126.net/LjEOqmBCy4MUtFOUUzFpAg==/109951163778291762.jpg', 'accountStatus': 0, 'gender': 1, 'city': 1005300, 'birthday': 961430400000, 'userId': 316344609, 'userType': 0, 'nickname': 'badjungkook', 'signature': 'Please ARMY remember what we say “love myself”, “love yourself.”', 'description': '', 'detailDescription': '', 'avatarImgId': 109951163778291760, 'backgroundImgId': 109951163756183570, 'backgroundUrl': 'http://p1.music.126.net/UhmDaHuT5uVFmvXP7BOFVg==/109951163756183573.jpg', 'authority': 0, 'mutual': False, 'expertTags': None, 'experts': None, 'djStatus': 10, 'vipType': 11, 'remarkName': None, 'avatarImgIdStr': '109951163778291762', 'backgroundImgIdStr': '109951163756183573', 'avatarImgId_str': '109951163778291762'}, 'tracks': None, 'subscribers': [{'defaultAvatar': False, 'province': 340000, 'authStatus': 0, 'followed': False, 'avatarUrl': 'http://p1.music.126.net/p322uy1FWPi1WGZXF9D1yg==/109951163592361526.jpg', 'accountStatus': 0, 'gender': 1, 'city': 341700, 'birthday': -2209017600000, 'userId': 133597456, 'userType': 0, 'nickname': '耶我是苏坡曼a', 'signature': '', 'description': '', 'detailDescription': '', 'avatarImgId': 109951163592361520, 'backgroundImgId': 2002210674180203, 'backgroundUrl': 'http://p1.music.126.net/bmA_ablsXpq3Tk9HlEg9sA==/2002210674180203.jpg', 'authority': 0, 'mutual': False, 'expertTags': None, 'experts': None, 'djStatus': 0, 'vipType': 0, 'remarkName': None, 'avatarImgIdStr': '109951163592361526', 'backgroundImgIdStr': '2002210674180203', 'avatarImgId_str': '109951163592361526'}], 'subscribed': None, 'commentThreadId': 'A_PL_0_2467999839', 'newImported': False, 'adType': 0, 'highQuality': False, 'privacy': 0, 'ordered': True, 'anonimous': False, 'shareCount': 142, 'coverImgId_str': '109951163602128728', 'commentCount': 255, 'alg': 'alg_sq_offline'}, {'name': '霓虹国式清新旋律|天空画游云，暖阳逗清风', 'id': 2468505578, 'trackNumberUpdateTime': 1541819058858, 'status': 0, 'userId': 542248693, 'createTime': 1539486337167, 'updateTime': 1541819058858, 'subscribedCount': 12179, 'trackCount': 37, 'cloudTrackCount': 0, 'coverImgUrl': 'http://p2.music.126.net/D1I2NxSzyrVBO6uDd1NyIA==/109951163606424816.jpg', 'coverImgId': 109951163606424820, 'description': '“想要穿白衬衣，想要变干净，想要让你想到我就联想起盛夏白瓷和碎冰碰壁，想你想我时，嗅到凌晨四点挂着露水的蔷薇花。”', 'tags': ['日语', '清新', '快乐'], 'playCount': 326120, 'trackUpdateTime': 1546956368836, 'specialType': 0, 'totalDuration': 0, 'creator': {'defaultAvatar': False, 'province': 510000, 'authStatus': 0, 'followed': False, 'avatarUrl': 'http://p1.music.126.net/ezghGRHFj42G-ahXj6T5MQ==/109951163667957756.jpg', 'accountStatus': 0, 'gender': 1, 'city': 510100, 'birthday': 934845383358, 'userId': 542248693, 'userType': 200, 'nickname': '鹿北浠', 'signature': 'Mr.Right', 'description': '', 'detailDescription': '', 'avatarImgId': 109951163667957760, 'backgroundImgId': 109951163667909980, 'backgroundUrl': 'http://p1.music.126.net/rTgXJZ6bGAw_iTEYbHu4og==/109951163667909977.jpg', 'authority': 0, 'mutual': False, 'expertTags': ['日语', '欧美'], 'experts': None, 'djStatus': 10, 'vipType': 11, 'remarkName': None, 'avatarImgIdStr': '109951163667957756', 'backgroundImgIdStr': '109951163667909977', 'avatarImgId_str': '109951163667957756'}, 'tracks': None, 'subscribers': [{'defaultAvatar': False, 'province': 330000, 'authStatus': 0, 'followed': False, 'avatarUrl': 'http://p1.music.126.net/M9QEl7zuWEGI8zEU4Z14XQ==/18743374720468330.jpg', 'accountStatus': 0, 'gender': 1, 'city': 330300, 'birthday': -2209017600000, 'userId': 412893265, 'userType': 0, 'nickname': 'Emperor丶响', 'signature': '', 'description': '', 'detailDescription': '', 'avatarImgId': 18743374720468330, 'backgroundImgId': 2002210674180199, 'backgroundUrl': 'http://p1.music.126.net/VTW4vsN08vwL3uSQqPyHqg==/2002210674180199.jpg', 'authority': 0, 'mutual': False, 'expertTags': None, 'experts': None, 'djStatus': 0, 'vipType': 0, 'remarkName': None, 'avatarImgIdStr': '18743374720468330', 'backgroundImgIdStr': '2002210674180199', 'avatarImgId_str': '18743374720468330'}], 'subscribed': None, 'commentThreadId': 'A_PL_0_2468505578', 'newImported': False, 'adType': 0, 'highQuality': False, 'privacy': 0, 'ordered': True, 'anonimous': False, 'shareCount': 118, 'coverImgId_str': '109951163606424816', 'commentCount': 66, 'alg': 'alg_sq_offline'}]\n"
     ]
    }
   ],
   "source": [
    "print(num.iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(20, 33)\n"
     ]
    }
   ],
   "source": [
    "print(pd.DataFrame(num.iloc[0]).shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data1=pd.DataFrame(num.iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<bound method NDFrame.head of     adType             alg  anonimous  cloudTrackCount  commentCount  \\\n",
      "0        0  alg_sq_topn_lr      False                0           403   \n",
      "1        0  alg_sq_topn_lr      False                0          2731   \n",
      "2        0  alg_sq_topn_lr      False                0           433   \n",
      "3        0  alg_sq_topn_lr      False                0           129   \n",
      "4        0  alg_sq_topn_lr      False                0            54   \n",
      "5        0  alg_sq_topn_lr      False                0           210   \n",
      "6        0  alg_sq_topn_lr      False                0            94   \n",
      "7        0  alg_sq_topn_lr      False                0           159   \n",
      "8        0  alg_sq_topn_lr      False                0           383   \n",
      "9        0  alg_sq_topn_lr      False                0           194   \n",
      "10       0  alg_sq_topn_lr      False                0          1277   \n",
      "11       0  alg_sq_topn_lr      False                0           366   \n",
      "12       0  alg_sq_topn_lr      False                0             8   \n",
      "13       0  alg_sq_topn_lr      False                0             5   \n",
      "14       0  alg_sq_topn_lr      False                0           379   \n",
      "15       0  alg_sq_topn_lr      False                0           519   \n",
      "16       0  alg_sq_offline      False                0           107   \n",
      "17       0  alg_sq_offline      False                0            44   \n",
      "18       0  alg_sq_offline      False                0           255   \n",
      "19       0  alg_sq_offline      False                0            66   \n",
      "\n",
      "      commentThreadId          coverImgId      coverImgId_str  \\\n",
      "0   A_PL_0_2468145627  109951163602371730  109951163602371733   \n",
      "1   A_PL_0_2533457359  109951163693901060  109951163693901056   \n",
      "2   A_PL_0_2565796547  109951163738098450  109951163738098455   \n",
      "3   A_PL_0_2522346831  109951163729813500  109951163729813508   \n",
      "4   A_PL_0_2577912468  109951163777259300  109951163777259296   \n",
      "5   A_PL_0_2608428625  109951163774361440  109951163774361448   \n",
      "6   A_PL_0_2578913204  109951163756958990  109951163756958998   \n",
      "7   A_PL_0_2572036338  109951163751040930  109951163751040922   \n",
      "8   A_PL_0_2476882724  109951163629320800  109951163629320801   \n",
      "9   A_PL_0_2429929844  109951163588385120  109951163588385115   \n",
      "10  A_PL_0_2564853311  109951163739272480  109951163739272475   \n",
      "11  A_PL_0_2564915890  109951163746048770  109951163746048762   \n",
      "12  A_PL_0_2552469564  109951163746539250  109951163746539255   \n",
      "13  A_PL_0_2490752261  109951163711764270  109951163711764277   \n",
      "14  A_PL_0_2521311243  109951163677120500  109951163677120503   \n",
      "15  A_PL_0_2511714039  109951163779501490  109951163779501486   \n",
      "16  A_PL_0_2352407852  109951163585033950  109951163585033958   \n",
      "17  A_PL_0_2530668718  109951163771774350  109951163771774347   \n",
      "18  A_PL_0_2467999839  109951163602128740  109951163602128728   \n",
      "19  A_PL_0_2468505578  109951163606424820  109951163606424816   \n",
      "\n",
      "                                          coverImgUrl     createTime  \\\n",
      "0   http://p2.music.126.net/qXN1QIV_mGUV1BusdRX1CA...  1539449979814   \n",
      "1   http://p2.music.126.net/tghyV9sVSKsqZdtQJk0qSg...  1543407158841   \n",
      "2   http://p2.music.126.net/yEGaigNGo2Ui6qjfu2nloQ...  1545320668530   \n",
      "3   http://p2.music.126.net/zSMFlLUImRuhOjN4dRq7ag...  1542709944120   \n",
      "4   http://p2.music.126.net/jY-VN8Lmsh4L0N7aE-iIXg...  1546072772740   \n",
      "5   http://p2.music.126.net/E08zwBKSx2Yf7Yh8RHpslQ...  1546683691194   \n",
      "6   http://p2.music.126.net/YLHRTk_OtFd-13reH9psbw...  1546128280087   \n",
      "7   http://p2.music.126.net/wv2NdfZrUnLDSwk_kQoSZg...  1545705403331   \n",
      "8   http://p2.music.126.net/urUXkh2vU8mvGHh_31TVkw...  1539957993367   \n",
      "9   http://p2.music.126.net/3Fn5T_3QW36NqvPrs-9vQQ...  1537540953622   \n",
      "10  http://p2.music.126.net/M4kElTz9XLU3gt7fQLDECw...  1545274747177   \n",
      "11  http://p2.music.126.net/H9dJuU5ZGiusoQbnSgijrA...  1545281821008   \n",
      "12  http://p2.music.126.net/fGsOkpMVdWTmF1nYyw1Opg...  1544515251758   \n",
      "13  http://p2.music.126.net/a32GAxIBkcg6Q4DNLYmLXw...  1540780701459   \n",
      "14  http://p2.music.126.net/s-Y3bilU_YOpWUd4UgvnfQ...  1542630098227   \n",
      "15  http://p2.music.126.net/q5pLA8n34iLh_qkw7ZTXTQ...  1542081534014   \n",
      "16  http://p2.music.126.net/HJX0tWeSQSo8Wz2pnqoOXw...  1533637168604   \n",
      "17  http://p2.music.126.net/poOMUc0sb-p7QTRNqb_dJg...  1543223900109   \n",
      "18  http://p2.music.126.net/HXM0JydZ5TyppnWlp5faWA...  1539443633909   \n",
      "19  http://p2.music.126.net/D1I2NxSzyrVBO6uDd1NyIA...  1539486337167   \n",
      "\n",
      "       ...     subscribedCount  \\\n",
      "0      ...               58406   \n",
      "1      ...               36805   \n",
      "2      ...               15139   \n",
      "3      ...               19975   \n",
      "4      ...               24276   \n",
      "5      ...               18565   \n",
      "6      ...               32132   \n",
      "7      ...               36764   \n",
      "8      ...              133372   \n",
      "9      ...               40125   \n",
      "10     ...               25080   \n",
      "11     ...               28592   \n",
      "12     ...                 828   \n",
      "13     ...                1109   \n",
      "14     ...               14728   \n",
      "15     ...               41291   \n",
      "16     ...               14917   \n",
      "17     ...               11109   \n",
      "18     ...               16659   \n",
      "19     ...               12179   \n",
      "\n",
      "                                          subscribers             tags  \\\n",
      "0   [{'defaultAvatar': False, 'province': 440000, ...     [华语, 流行, 治愈]   \n",
      "1   [{'defaultAvatar': True, 'province': 430000, '...         [华语, 学习]   \n",
      "2   [{'defaultAvatar': False, 'province': 370000, ...     [欧美, 清新, 快乐]   \n",
      "3   [{'defaultAvatar': False, 'province': 130000, ...     [华语, 流行, 思念]   \n",
      "4   [{'defaultAvatar': False, 'province': 220000, ...     [华语, 流行, 伤感]   \n",
      "5   [{'defaultAvatar': False, 'province': 360000, ...     [华语, 欧美, 感动]   \n",
      "6                                                  []  [民谣, 另类/独立, 华语]   \n",
      "7   [{'defaultAvatar': False, 'province': 450000, ...     [华语, 说唱, 兴奋]   \n",
      "8   [{'defaultAvatar': False, 'province': 450000, ...     [华语, 翻唱, 民谣]   \n",
      "9   [{'defaultAvatar': False, 'province': 310000, ...     [韩语, 流行, 治愈]   \n",
      "10  [{'defaultAvatar': False, 'province': 110000, ...     [华语, 流行, 安静]   \n",
      "11  [{'defaultAvatar': True, 'province': 370000, '...     [华语, 流行, 民谣]   \n",
      "12  [{'defaultAvatar': False, 'province': 440000, ...    [轻音乐, 夜晚, 孤独]   \n",
      "13  [{'defaultAvatar': False, 'province': 320000, ...        [轻音乐, 放松]   \n",
      "14  [{'defaultAvatar': False, 'province': 320000, ...     [治愈, 放松, 欧美]   \n",
      "15  [{'defaultAvatar': False, 'province': 520000, ...     [华语, 流行, 浪漫]   \n",
      "16  [{'defaultAvatar': False, 'province': 150000, ...     [欧美, 孤独, 夜晚]   \n",
      "17  [{'defaultAvatar': False, 'province': 350000, ...     [日语, 民谣, 清新]   \n",
      "18  [{'defaultAvatar': False, 'province': 340000, ...    [日语, ACG, 感动]   \n",
      "19  [{'defaultAvatar': False, 'province': 330000, ...     [日语, 清新, 快乐]   \n",
      "\n",
      "    totalDuration trackCount  trackNumberUpdateTime  trackUpdateTime  tracks  \\\n",
      "0               0         43          1540176152147    1546744947197    None   \n",
      "1               0         35          1544088498706    1546225852784    None   \n",
      "2               0         33          1545492865610    1545970849436    None   \n",
      "3               0         46          1546601790913    1546601815081    None   \n",
      "4               0         40          1546516223813    1547005423602    None   \n",
      "5               0         60          1547110595196    1547136216446    None   \n",
      "6               0        100          1547102671532    1547102687632    None   \n",
      "7               0         42          1546570093408    1546835354921    None   \n",
      "8               0         22          1545494823394    1546846984963    None   \n",
      "9               0         26          1545459603519    1545459615572    None   \n",
      "10              0         28          1545388701033    1545956549733    None   \n",
      "11              0         65          1546421094812    1547017582314    None   \n",
      "12              0         35          1547009798018    1547010007677    None   \n",
      "13              0         66          1544437802385    1547178209217    None   \n",
      "14              0         21          1542973084038    1545206249153    None   \n",
      "15              0         66          1547111322781    1547133078285    None   \n",
      "16              0         86          1546671425491    1547174518505    None   \n",
      "17              0         82          1545989453136    1546954333317    None   \n",
      "18              0         15          1546358867229    1547033933909    None   \n",
      "19              0         37          1541819058858    1546956368836    None   \n",
      "\n",
      "       updateTime      userId  \n",
      "0   1540176152147    49341371  \n",
      "1   1544088498706    59291942  \n",
      "2   1545492865610     2936282  \n",
      "3   1546601790913   450639585  \n",
      "4   1546765540213  1552777579  \n",
      "5   1547110607167  1418275670  \n",
      "6   1547102671532   317658815  \n",
      "7   1546570093408      201586  \n",
      "8   1545494823394   414221496  \n",
      "9   1545459603519   119754445  \n",
      "10  1545388701033  1489554923  \n",
      "11  1546421094812   108952364  \n",
      "12  1547009798018   251729736  \n",
      "13  1544437802385  1402660848  \n",
      "14  1542973084038    95142402  \n",
      "15  1547111322781   326263822  \n",
      "16  1546671425491  1496922189  \n",
      "17  1546613488557    39714273  \n",
      "18  1546358867229   316344609  \n",
      "19  1541819058858   542248693  \n",
      "\n",
      "[20 rows x 33 columns]>\n"
     ]
    }
   ],
   "source": [
    "print(data1.head)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-9-4243ed498ef5>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-9-4243ed498ef5>\"\u001b[1;36m, line \u001b[1;32m1\u001b[0m\n\u001b[1;33m    jupyter notebook --generate-config\u001b[0m\n\u001b[1;37m                   ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-11-661ac8cce439>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-11-661ac8cce439>\"\u001b[1;36m, line \u001b[1;32m1\u001b[0m\n\u001b[1;33m    jupyter notebook 'G:'\u001b[0m\n\u001b[1;37m                   ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "jupyter notebook 'G:'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
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}