答案代码_考核项目02视频网站数据清洗整理和结论研究.ipynb

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    "'''\n",
    "【项目04】  视频网站数据清洗整理和结论研究\n",
    "\n",
    "作业要求：\n",
    "1、数据清洗 - 去除空值\n",
    "要求：创建函数\n",
    "提示：fillna方法填充缺失数据，注意inplace参数\n",
    "\n",
    "2、数据清洗 - 时间标签转化\n",
    "要求：\n",
    "① 将时间字段改为时间标签\n",
    "② 创建函数\n",
    "提示：\n",
    "需要将中文日期转化为非中文日期，例如 2016年5月24日 → 2016.5.24\n",
    "\n",
    "3、问题1 分析出不同导演电影的好评率，并筛选出TOP20\n",
    "要求：\n",
    "① 计算统计出不同导演的好评率，不要求创建函数\n",
    "② 通过多系列柱状图，做图表可视化\n",
    "提示：\n",
    "① 好评率 = 好评数 / 评分人数\n",
    "② 可自己设定图表风格\n",
    "\n",
    "4、问题2 统计分析2001-2016年每年评影人数总量\n",
    "要求：\n",
    "① 计算统计出2001-2016年每年评影人数总量，不要求创建函数\n",
    "② 通过面积图，做图表可视化，分析每年人数总量变化规律\n",
    "③ 验证是否有异常值（极度异常）\n",
    "④ 创建函数分析出数据外限最大最小值）\n",
    "⑤ 筛选查看异常值 → 是否异常值就是每年的热门电影？\n",
    "提示：\n",
    "① 通过箱型图验证异常值情况\n",
    "② 通过quantile(q=0.5)方法，得到四分位数\n",
    "③ IQR=Q3-Q1\n",
    "④ 外限：最大值区间Q3+3IQR,最小值区间Q1-3IQR （IQR=Q3-Q1）\n",
    "⑤ 可自己设定图表风格\n",
    "\n",
    "'''"
   ]
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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
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   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np \n",
    "import matplotlib.pyplot as plt\n",
    "% matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       数据获取日期   演员  视频ID                                        详细链接  \\\n",
      "0  2016年5月24日  NaN   100  http://www.iqiyi.com/dianshiju/douyu2.html   \n",
      "1  2016年5月24日  NaN  1037   http://www.iqiyi.com/dianshiju/jhuxd.html   \n",
      "2  2016年5月24日  NaN  1573  http://www.iqiyi.com/dianshiju/fmxqj2.html   \n",
      "3  2016年5月24日  NaN  1739    http://www.iqiyi.com/dianshiju/qtjm.html   \n",
      "4  2016年5月24日  NaN  1756   http://www.iqiyi.com/dianshiju/18jbj.html   \n",
      "\n",
      "               剧名   状态                     类型 来源平台     整理后剧名 更新时间    ...     \\\n",
      "0     斗鱼Ⅱ(1-20)全集  已完结  粤语电视剧/偶像剧/言情剧/超清1080P  爱奇艺       斗鱼2  NaN    ...      \n",
      "1    江湖兄弟(1-32)全集  已完结  粤语电视剧/悬疑剧/年代剧/超清1080P  爱奇艺    江湖兄弟全集  NaN    ...      \n",
      "2  肥猫寻亲记2(1-30)全集  已完结           粤语电视剧/家庭剧/喜剧  爱奇艺  肥猫寻亲记2全集  NaN    ...      \n",
      "3    舞台姐妹(1-34)全集  已完结          粤语电视剧/年代剧/家庭剧  爱奇艺    舞台姐妹全集  NaN    ...      \n",
      "4   18禁不禁(1-30)全集  已完结   粤语电视剧/偶像剧/超清1080P/喜剧  爱奇艺   18禁不禁全集  NaN    ...      \n",
      "\n",
      "     上映年份                                                 简介   导演      差评数  \\\n",
      "0  2004.0  在单子杀了阿豹派去强暴语燕的手下而入狱后，众人的生活都有了改变。语燕为了让自己不再是于皓的包...  NaN   2034.0   \n",
      "1  2008.0  1930年代，海龙城首富唐英明用五斗上等珍珠，击败列国商业对手，买得与铁达尼齐名之奥丽号邮轮...  NaN   7291.0   \n",
      "2  2005.0  肥猫经历了几番风雨，终于寻回了他的亲生弟妹们：年轻有为的医生二弟华世杰、大律师三妹婉容、美丽...  NaN   1183.0   \n",
      "3  2006.0  一对原本乡下“阳春舞台班“苦命姐妹春花和月红，在戏霸唐经理的阴谋算计下来到大上海的灯红酒绿下...  NaN    451.0   \n",
      "4  2007.0  一部台湾偶像剧，由三个偶像团体（模范棒棒堂Choc7、黑Girl、翼势力）的成员和多位新进演...  NaN  63551.0   \n",
      "\n",
      "       评分人数         播放量 更新至   总集数  第几季       好评数  \n",
      "0   32722.0   8069526.0 NaN  20.0    2   30688.0  \n",
      "1   39492.0  70213917.0 NaN  32.0    1   32201.0  \n",
      "2   10105.0   3310768.0 NaN  30.0    1    8922.0  \n",
      "3    2639.0   2088958.0 NaN  34.0    1    2188.0  \n",
      "4  748338.0  41287893.0 NaN  30.0    1  684787.0  \n",
      "\n",
      "[5 rows x 24 columns]\n"
     ]
    }
   ],
   "source": [
    "# 数据读取\n",
    "\n",
    "data = pd.read_csv('C:/Users/Hjx/Desktop/爱奇艺视频数据.csv', engine = 'python')\n",
    "print(data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
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   "outputs": [
    {
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     "output_type": "stream",
     "text": [
      "       数据获取日期    演员       视频ID                                        详细链接  \\\n",
      "0  2016年5月24日  缺失数据        100  http://www.iqiyi.com/dianshiju/douyu2.html   \n",
      "1  2016年5月24日  缺失数据       1037   http://www.iqiyi.com/dianshiju/jhuxd.html   \n",
      "2  2016年5月24日  缺失数据       1573  http://www.iqiyi.com/dianshiju/fmxqj2.html   \n",
      "3  2016年5月24日  缺失数据       1739    http://www.iqiyi.com/dianshiju/qtjm.html   \n",
      "4  2016年5月24日  缺失数据       1756   http://www.iqiyi.com/dianshiju/18jbj.html   \n",
      "5  2016年5月24日  缺失数据       1757  http://www.iqiyi.com/dianshiju/18sdtk.html   \n",
      "6  2016年5月24日  缺失数据       1837      http://www.iqiyi.com/dianshiju/dy.html   \n",
      "7  2016年5月24日  缺失数据  200175401      http://www.iqiyi.com/a_19rrgjd745.html   \n",
      "8  2016年5月24日  缺失数据  202938201      http://www.iqiyi.com/a_19rrhb9eet.html   \n",
      "9  2016年5月24日  缺失数据       2212   http://www.iqiyi.com/dianshiju/yjjhx.html   \n",
      "\n",
      "               剧名    状态                                类型 来源平台     整理后剧名  \\\n",
      "0     斗鱼Ⅱ(1-20)全集   已完结             粤语电视剧/偶像剧/言情剧/超清1080P  爱奇艺       斗鱼2   \n",
      "1    江湖兄弟(1-32)全集   已完结             粤语电视剧/悬疑剧/年代剧/超清1080P  爱奇艺    江湖兄弟全集   \n",
      "2  肥猫寻亲记2(1-30)全集   已完结                      粤语电视剧/家庭剧/喜剧  爱奇艺  肥猫寻亲记2全集   \n",
      "3    舞台姐妹(1-34)全集   已完结                     粤语电视剧/年代剧/家庭剧  爱奇艺    舞台姐妹全集   \n",
      "4   18禁不禁(1-30)全集   已完结              粤语电视剧/偶像剧/超清1080P/喜剧  爱奇艺   18禁不禁全集   \n",
      "5  18岁的约定(1-21)全集   已完结             粤语电视剧/偶像剧/言情剧/超清1080P  爱奇艺  18岁的约定全集   \n",
      "6      斗鱼(1-20)全集   已完结             粤语电视剧/偶像剧/言情剧/超清1080P  爱奇艺      斗鱼全集   \n",
      "7          人生需要揭穿  缺失数据  粤语电视剧/超清1080P/偶像剧/家庭剧/青春剧/网络剧/喜剧  爱奇艺    人生需要揭穿   \n",
      "8           太阳的后裔  缺失数据          粤语电视剧/偶像剧/剧情/言情剧/超清1080P  爱奇艺     太阳的后裔   \n",
      "9   又见橘花香(1-20)全集   已完结     粤语电视剧/偶像剧/言情剧/超清1080P/青春剧/家庭剧  爱奇艺   又见橘花香全集   \n",
      "\n",
      "   更新时间    ...        上映年份                                                 简介  \\\n",
      "0  缺失数据    ...      2004.0  在单子杀了阿豹派去强暴语燕的手下而入狱后，众人的生活都有了改变。语燕为了让自己不再是于皓的包...   \n",
      "1  缺失数据    ...      2008.0  1930年代，海龙城首富唐英明用五斗上等珍珠，击败列国商业对手，买得与铁达尼齐名之奥丽号邮轮...   \n",
      "2  缺失数据    ...      2005.0  肥猫经历了几番风雨，终于寻回了他的亲生弟妹们：年轻有为的医生二弟华世杰、大律师三妹婉容、美丽...   \n",
      "3  缺失数据    ...      2006.0  一对原本乡下“阳春舞台班“苦命姐妹春花和月红，在戏霸唐经理的阴谋算计下来到大上海的灯红酒绿下...   \n",
      "4  缺失数据    ...      2007.0  一部台湾偶像剧，由三个偶像团体（模范棒棒堂Choc7、黑Girl、翼势力）的成员和多位新进演...   \n",
      "5  缺失数据    ...      2002.0  何帆，是一个天才型调酒师，也是各高校极欲网罗的名师对象。晓彤，班上的一名女学生。在日积月累之...   \n",
      "6  缺失数据    ...      2004.0  两个世界的人，可以是朋友、可以是仇人、可以错身而过，但是如果他们相爱了，结局只有走上灭绝的命...   \n",
      "7  缺失数据    ...         0.0                           人生需要揭穿-统帅电器-高清视频在线观看-爱奇艺   \n",
      "8  缺失数据    ...         0.0  《太阳的后裔》是由李应福导演，由宋仲基、宋慧乔等主演的电视剧，共16集，爱奇艺为你提供太阳的...   \n",
      "9  缺失数据    ...      2003.0  每一次恋爱，有多少回忆停驻在你的脑海里？初恋的滋味，总是带点甜蜜，带点苦涩。杜凯翔接到小学同...   \n",
      "\n",
      "     导演       差评数       评分人数         播放量  更新至   总集数  第几季        好评数  \n",
      "0  缺失数据    2034.0    32722.0   8069526.0  0.0  20.0    2    30688.0  \n",
      "1  缺失数据    7291.0    39492.0  70213917.0  0.0  32.0    1    32201.0  \n",
      "2  缺失数据    1183.0    10105.0   3310768.0  0.0  30.0    1     8922.0  \n",
      "3  缺失数据     451.0     2639.0   2088958.0  0.0  34.0    1     2188.0  \n",
      "4  缺失数据   63551.0   748338.0  41287893.0  0.0  30.0    1   684787.0  \n",
      "5  缺失数据    1632.0    11529.0   3946404.0  0.0  21.0    1     9897.0  \n",
      "6  缺失数据    8358.0   124810.0  22701460.0  0.0  20.0    1   116452.0  \n",
      "7  缺失数据    3282.0    27528.0         0.0  0.0   0.0    1    24246.0  \n",
      "8  缺失数据  642608.0  5009885.0         0.0  0.0   0.0    1  4367277.0  \n",
      "9  缺失数据     884.0     3378.0   1599915.0  0.0  20.0    1     2494.0  \n",
      "\n",
      "[10 rows x 24 columns]\n"
     ]
    }
   ],
   "source": [
    "# 数据清洗 - 去除空值\n",
    "# 文本型字段空值改为“缺失数据”，数字型字段空值改为 0 \n",
    "# 要求：创建函数\n",
    "# 提示：fillna方法填充缺失数据，注意inplace参数\n",
    "\n",
    "def data_cleaning(df):\n",
    "    cols = df.columns\n",
    "    for col in cols:\n",
    "        if df[col].dtype ==  'object':\n",
    "            df[col].fillna('缺失数据', inplace = True)\n",
    "        else:\n",
    "            df[col].fillna(0, inplace = True)\n",
    "    return(df)\n",
    "# 该函数可以将任意数据内空值替换\n",
    "\n",
    "data_c1 = data_cleaning(data)\n",
    "print(data_c1.head(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      数据获取日期    演员       视频ID                                        详细链接  \\\n",
      "0 2016-05-24  缺失数据        100  http://www.iqiyi.com/dianshiju/douyu2.html   \n",
      "1 2016-05-24  缺失数据       1037   http://www.iqiyi.com/dianshiju/jhuxd.html   \n",
      "2 2016-05-24  缺失数据       1573  http://www.iqiyi.com/dianshiju/fmxqj2.html   \n",
      "3 2016-05-24  缺失数据       1739    http://www.iqiyi.com/dianshiju/qtjm.html   \n",
      "4 2016-05-24  缺失数据       1756   http://www.iqiyi.com/dianshiju/18jbj.html   \n",
      "5 2016-05-24  缺失数据       1757  http://www.iqiyi.com/dianshiju/18sdtk.html   \n",
      "6 2016-05-24  缺失数据       1837      http://www.iqiyi.com/dianshiju/dy.html   \n",
      "7 2016-05-24  缺失数据  200175401      http://www.iqiyi.com/a_19rrgjd745.html   \n",
      "8 2016-05-24  缺失数据  202938201      http://www.iqiyi.com/a_19rrhb9eet.html   \n",
      "9 2016-05-24  缺失数据       2212   http://www.iqiyi.com/dianshiju/yjjhx.html   \n",
      "\n",
      "               剧名    状态                                类型 来源平台     整理后剧名  \\\n",
      "0     斗鱼Ⅱ(1-20)全集   已完结             粤语电视剧/偶像剧/言情剧/超清1080P  爱奇艺       斗鱼2   \n",
      "1    江湖兄弟(1-32)全集   已完结             粤语电视剧/悬疑剧/年代剧/超清1080P  爱奇艺    江湖兄弟全集   \n",
      "2  肥猫寻亲记2(1-30)全集   已完结                      粤语电视剧/家庭剧/喜剧  爱奇艺  肥猫寻亲记2全集   \n",
      "3    舞台姐妹(1-34)全集   已完结                     粤语电视剧/年代剧/家庭剧  爱奇艺    舞台姐妹全集   \n",
      "4   18禁不禁(1-30)全集   已完结              粤语电视剧/偶像剧/超清1080P/喜剧  爱奇艺   18禁不禁全集   \n",
      "5  18岁的约定(1-21)全集   已完结             粤语电视剧/偶像剧/言情剧/超清1080P  爱奇艺  18岁的约定全集   \n",
      "6      斗鱼(1-20)全集   已完结             粤语电视剧/偶像剧/言情剧/超清1080P  爱奇艺      斗鱼全集   \n",
      "7          人生需要揭穿  缺失数据  粤语电视剧/超清1080P/偶像剧/家庭剧/青春剧/网络剧/喜剧  爱奇艺    人生需要揭穿   \n",
      "8           太阳的后裔  缺失数据          粤语电视剧/偶像剧/剧情/言情剧/超清1080P  爱奇艺     太阳的后裔   \n",
      "9   又见橘花香(1-20)全集   已完结     粤语电视剧/偶像剧/言情剧/超清1080P/青春剧/家庭剧  爱奇艺   又见橘花香全集   \n",
      "\n",
      "   更新时间    ...        上映年份                                                 简介  \\\n",
      "0  缺失数据    ...      2004.0  在单子杀了阿豹派去强暴语燕的手下而入狱后，众人的生活都有了改变。语燕为了让自己不再是于皓的包...   \n",
      "1  缺失数据    ...      2008.0  1930年代，海龙城首富唐英明用五斗上等珍珠，击败列国商业对手，买得与铁达尼齐名之奥丽号邮轮...   \n",
      "2  缺失数据    ...      2005.0  肥猫经历了几番风雨，终于寻回了他的亲生弟妹们：年轻有为的医生二弟华世杰、大律师三妹婉容、美丽...   \n",
      "3  缺失数据    ...      2006.0  一对原本乡下“阳春舞台班“苦命姐妹春花和月红，在戏霸唐经理的阴谋算计下来到大上海的灯红酒绿下...   \n",
      "4  缺失数据    ...      2007.0  一部台湾偶像剧，由三个偶像团体（模范棒棒堂Choc7、黑Girl、翼势力）的成员和多位新进演...   \n",
      "5  缺失数据    ...      2002.0  何帆，是一个天才型调酒师，也是各高校极欲网罗的名师对象。晓彤，班上的一名女学生。在日积月累之...   \n",
      "6  缺失数据    ...      2004.0  两个世界的人，可以是朋友、可以是仇人、可以错身而过，但是如果他们相爱了，结局只有走上灭绝的命...   \n",
      "7  缺失数据    ...         0.0                           人生需要揭穿-统帅电器-高清视频在线观看-爱奇艺   \n",
      "8  缺失数据    ...         0.0  《太阳的后裔》是由李应福导演，由宋仲基、宋慧乔等主演的电视剧，共16集，爱奇艺为你提供太阳的...   \n",
      "9  缺失数据    ...      2003.0  每一次恋爱，有多少回忆停驻在你的脑海里？初恋的滋味，总是带点甜蜜，带点苦涩。杜凯翔接到小学同...   \n",
      "\n",
      "     导演       差评数       评分人数         播放量  更新至   总集数  第几季        好评数  \n",
      "0  缺失数据    2034.0    32722.0   8069526.0  0.0  20.0    2    30688.0  \n",
      "1  缺失数据    7291.0    39492.0  70213917.0  0.0  32.0    1    32201.0  \n",
      "2  缺失数据    1183.0    10105.0   3310768.0  0.0  30.0    1     8922.0  \n",
      "3  缺失数据     451.0     2639.0   2088958.0  0.0  34.0    1     2188.0  \n",
      "4  缺失数据   63551.0   748338.0  41287893.0  0.0  30.0    1   684787.0  \n",
      "5  缺失数据    1632.0    11529.0   3946404.0  0.0  21.0    1     9897.0  \n",
      "6  缺失数据    8358.0   124810.0  22701460.0  0.0  20.0    1   116452.0  \n",
      "7  缺失数据    3282.0    27528.0         0.0  0.0   0.0    1    24246.0  \n",
      "8  缺失数据  642608.0  5009885.0         0.0  0.0   0.0    1  4367277.0  \n",
      "9  缺失数据     884.0     3378.0   1599915.0  0.0  20.0    1     2494.0  \n",
      "\n",
      "[10 rows x 24 columns]\n"
     ]
    }
   ],
   "source": [
    "# 数据清洗 - 时间标签转化\n",
    "# 将时间字段改为时间标签\n",
    "# 要求：创建函数\n",
    "# 提示：需要将中文日期转化为非中文日期，例如 2016年5月24日 → 2016.5.24\n",
    "\n",
    "def data_time(df,*cols):\n",
    "    for col in cols:\n",
    "        df[col] = df[col].str.replace('年','.')\n",
    "        df[col] = df[col].str.replace('月','.')\n",
    "        df[col] = df[col].str.replace('日','')\n",
    "        df[col] = pd.to_datetime(df[col])\n",
    "    return(df)\n",
    "# 该函数将输入列名的列，改为DatetimeIndex格式\n",
    "\n",
    "data_c2 = data_time(data_c1,'数据获取日期')\n",
    "print(data_c2.head(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xf97b4e0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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u4GSyI6n3MMup1u6+j2yABfgD4HX1f/8hcLG7/7DlU1YCJ1Efvs1skOzRWvcD57n7x5vW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\ny2ehsnxQw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      "text/plain": [
       "<matplotlib.figure.Figure at 0xd006be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 问题1 分析出不同导演电影的好评率，并筛选出TOP20\n",
    "# 要求：\n",
    "# ① 计算统计出不同导演的好评率，不要求创建函数\n",
    "# ② 通过多系列柱状图，做图表可视化\n",
    "# 提示：\n",
    "# ① 好评率 = 好评数 / 评分人数\n",
    "\n",
    "df_q1 = data_c2.groupby('导演')[['好评数','评分人数']].sum()\n",
    "df_q1['好评率'] = df_q1['好评数'] / df_q1['评分人数']\n",
    "result_q1 = df_q1.sort_values(['好评率'], ascending=False)[:20]\n",
    "# 计算统计不同导演的好评率\n",
    "\n",
    "result_q1['好评率'].plot(kind='bar',\n",
    "       color = 'k',\n",
    "       width = 0.8,\n",
    "       alpha = 0.4,\n",
    "       rot = 45,\n",
    "       grid = True,\n",
    "       ylim = [0.98,1],\n",
    "       figsize = (12,4),\n",
    "       title = '不同导演电影的好评率')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             评分人数        好评数\n",
      "上映年份                        \n",
      "1937.0    84367.0    63120.0\n",
      "1985.0   163064.0   135462.0\n",
      "1986.0    58593.0    41216.0\n",
      "1987.0  3930018.0  3728651.0\n",
      "1988.0   410722.0   337484.0\n"
     ]
    },
    {
     "data": {
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z5sywMwBw1VVXnQBceumll3LCCSeEHWdEJk+erDZ7kvYO2vOD/g7a84P+Dtrz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a8D/gWglLoqG4y0AT8Fpiul2rPLvpbdxg08DjyqtfZ1f8i8YdHA2Owyb/bzgV7Huxyo1VpvUEqV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\n9QNiF+B6jzassQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd006ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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bm1E5Uutr2VzPNLmvxUqtnj5d0MzMzMzMrECeZJmZmZnZuEh6g6SrJPVJ+o2k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\n2d4DjMlsexE4FlgHHAJ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      "text/plain": [
       "<matplotlib.figure.Figure at 0x99de6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 问题2 统计分析2001-2016年每年评影人数总量\n",
    "# 要求：\n",
    "# ① 计算统计出2001-2016年每年评影人数总量，不要求创建函数\n",
    "# ② 通过面积图，做图表可视化，分析每年人数总量变化规律\n",
    "# ③ 验证是否有异常值（极度异常）\n",
    "# ④ 创建函数分析出数据外限最大最小值）\n",
    "# ⑤ 筛选查看异常值 → 是否异常值就是每年的热门电影？\n",
    "# 提示：\n",
    "# ① 通过箱型图验证异常值情况\n",
    "# ② 通过quantile(q=0.5)方法，得到四分位数\n",
    "# ③ IQR=Q3-Q1\n",
    "# ④ 外限：最大值区间Q3+3IQR,最小值区间Q1-3IQR （IQR=Q3-Q1）\n",
    "\n",
    "q2data1 = data_c2[['导演','上映年份','整理后剧名']].drop_duplicates()  \n",
    "q2data1 = q2data1[q2data1['上映年份'] != 0]\n",
    "# 筛选出不同年份的数据，去除‘上映年份’字段缺失数据\n",
    "\n",
    "q2data2 = data_c2.groupby('整理后剧名').sum()[['评分人数','好评数']]\n",
    "#print(q2data2)\n",
    "# 求出不同剧的评分人数、好评数总和\n",
    "\n",
    "q2data3 = pd.merge(q2data1,q2data2,left_on='整理后剧名',right_index=True)\n",
    "#print(q2data3)\n",
    "# 合并数据，得到不同年份，不同剧的评分人数、好评数总和\n",
    "\n",
    "q2data4 = q2data3.groupby('上映年份').sum()[['评分人数','好评数']]\n",
    "print(q2data4.head())\n",
    "# 按照电影上映年份统计，评分人数量\n",
    "\n",
    "fig1 = plt.figure(num=1,figsize=(12,4))\n",
    "q2data4['评分人数'].loc[2000:].plot.area(figsize = (10,4),\n",
    "                                    grid = True,\n",
    "                                    color = 'g',\n",
    "                                    alpha = 0.8)\n",
    "plt.xticks(range(2001,2016))\n",
    "plt.title('2001-2016年每年评影人数总量统计')\n",
    "# 创建面积图\n",
    "# 每年影评人数通过每个电影来判断是否合理？\n",
    "# 存在异常值，哪些是异常值？\n",
    "\n",
    "fig,axes = plt.subplots(4,4,figsize=(10,16))\n",
    "start = 2001\n",
    "for i in range(4):\n",
    "    for j in range(4):\n",
    "        data = q2data3[q2data3['上映年份'] == start]\n",
    "        data[['评分人数','好评数']].boxplot(whis = 3,  # IQR为3\n",
    "                                            return_type='dict',ax = axes[i,j])  # 创建矩阵箱型图\n",
    "        start += 1\n",
    "# 发现基本每年的数据中都有异常值，且为极度异常"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2000年有40条数据\n",
      "       导演    上映年份     整理后剧名         评分人数          好评数\n",
      "704   刘家成  2000.0   铁齿铜牙纪晓岚   12231677.0   10887118.0\n",
      "713   张国立  2000.0  康熙微服私访记3    2509980.0    2246035.0\n",
      "979    梦继  2000.0   都是天使惹的祸    2078751.0    1870221.0\n",
      "997   徐庆东  2000.0      重案6组    5849945.0    5294455.0\n",
      "1494  张子恩  2000.0   上错花轿嫁对郎   11265400.0   10477592.0\n",
      "1909  陈宝国  2000.0     请你原谅我  148345298.0  146438880.0\n",
      "-------\n",
      "\n",
      "2001年有49条数据\n",
      "           导演    上映年份   整理后剧名       评分人数        好评数\n",
      "1027       英达  2001.0   东北1家人  2674339.0  2550233.0\n",
      "1338      王冀邢  2001.0      黑冰  1703364.0  1278592.0\n",
      "1863      胡明凯  2001.0  少年包青天2  4809919.0  4335522.0\n",
      "1972  陈家林、刘大印  2001.0    康熙王朝  4589462.0  3811875.0\n",
      "-------\n",
      "\n",
      "2002年有76条数据\n",
      "          导演    上映年份       整理后剧名        评分人数         好评数\n",
      "69       赵宝刚  2002.0  拿什么拯救你我的爱人   2184294.0   1954774.0\n",
      "670      梁德龙  2002.0       少年张3丰  48030057.0  42450999.0\n",
      "179      王文杰  2002.0         大染坊   1213903.0    943441.0\n",
      "542      高力强  2002.0       乌龙闯情关  17787335.0  16282770.0\n",
      "560      胡雪杨  2002.0        白领公寓   1056247.0   1042170.0\n",
      "705      刘家成  2002.0    铁齿铜牙纪晓岚2   4116280.0   3598471.0\n",
      "711      张国立  2002.0    康熙微服私访记4   2430093.0   2139569.0\n",
      "978       欧凡  2002.0      我的淘气天使   3100421.0   3088701.0\n",
      "1026      英达  2002.0     东北1家人续集    832767.0    783944.0\n",
      "1118     王重光  2002.0         半生缘   1788765.0   1593117.0\n",
      "1267   马骁/赵镭  2002.0        乾隆王朝   1807823.0   1519044.0\n",
      "1533      沈庄  2002.0        无敌县令  16449254.0  15840532.0\n",
      "1813      林龙  2002.0       少年黄飞鸿   4336169.0   3923933.0\n",
      "26514    梁本熙  2002.0        大汉天子   2471649.0   2174612.0\n",
      "-------\n",
      "\n",
      "2003年有102条数据\n",
      "               导演    上映年份    整理后剧名         评分人数          好评数\n",
      "184           李济昌  2003.0   18岁的天空    1315676.0    1158297.0\n",
      "518            丁黑  2003.0      玉观音   10799600.0   10111099.0\n",
      "698            沈怡  2003.0     布衣天子    1434892.0    1313230.0\n",
      "727       李翰韬/王炎冰  2003.0       火帅    1313022.0    1283602.0\n",
      "939        黄力加/江洪  2003.0    神医喜来乐     850050.0     681646.0\n",
      "1393          徐庆东  2003.0    重案6组2    9219568.0    8549757.0\n",
      "1537           赖成  2003.0    倚天屠龙记  137252859.0  130354883.0\n",
      "1733        小多/澄丰  2003.0     少年康熙    1428427.0    1349838.0\n",
      "1897          伍宗德  2003.0      双响炮    1122473.0    1108071.0\n",
      "2140  朱德承/余明生/张耀星  2003.0  风流少年唐伯虎   13334067.0   11626244.0\n",
      "2148          胡明凯  2003.0    隋唐英雄传    7834399.0    6871162.0\n",
      "2149           何群  2003.0     萍踪侠影    1395491.0    1367926.0\n",
      "-------\n",
      "\n",
      "2004年有112条数据\n",
      "            导演    上映年份     整理后剧名         评分人数          好评数\n",
      "0         缺失数据  2004.0       斗鱼2    1488378.0    1398674.0\n",
      "6         缺失数据  2004.0      斗鱼全集    5717163.0    5337043.0\n",
      "317        滕文骥  2004.0      血色浪漫   10652993.0    9838765.0\n",
      "353        张晓光  2004.0      1米阳光    1077617.0    1003363.0\n",
      "536        郭靖宇  2004.0      我非英雄    1033558.0     870254.0\n",
      "703        刘家成  2004.0  铁齿铜牙纪晓岚3   20693600.0   19826413.0\n",
      "1150       钱雁秋  2004.0     神探狄仁杰    4543136.0    3988682.0\n",
      "1202        丁黑  2004.0      平淡生活    1890641.0    1800771.0\n",
      "1503   周晓文/鞠觉亮  2004.0      天龙8部  257017777.0  249324460.0\n",
      "1636        徐耿  2004.0      小兵张嘎    3438397.0    2873167.0\n",
      "2152        何培  2004.0   谍战之特殊较量    2926284.0    2172274.0\n",
      "26508       董力  2004.0     大汉天子2    1093481.0     961560.0\n",
      "-------\n",
      "\n",
      "2005年有127条数据\n",
      "            导演    上映年份      整理后剧名        评分人数         好评数\n",
      "126        阚卫平  2005.0      大宋提刑官   2089457.0   1808082.0\n",
      "143        赖水清  2005.0    秦王李世民传奇   3074575.0   2811473.0\n",
      "429         英达  2005.0      地下交通站  10581120.0   9860511.0\n",
      "534        郭靖宇  2005.0     刀锋1937   8637909.0   7900251.0\n",
      "671         王晶  2005.0    小鱼儿与花无缺   1031509.0    953431.0\n",
      "706        张国立  2005.0       少年嘉庆   1013432.0    933014.0\n",
      "718        赖水清  2005.0       刁蛮公主  50604859.0  47325137.0\n",
      "930    邓衍成/梁欣全  2005.0       天下第1   3574686.0   3245269.0\n",
      "1695       李惠民  2005.0        风云2   6327340.0   5577826.0\n",
      "1737        刘恒  2005.0  少年天子之顺治王朝   2086341.0   1867984.0\n",
      "1761       瞿友宁  2005.0      恶作剧之吻   8618136.0   7494951.0\n",
      "1841       张晓光  2005.0       午夜阳光   1807467.0   1467337.0\n",
      "1896       杨文军  2005.0      我爱河东狮   2635663.0   2493475.0\n",
      "1905        胡玫  2005.0       汉武大帝   1354595.0   1133144.0\n",
      "25806       冯凯  2005.0       绿光森林   5896571.0   5576341.0\n",
      "-------\n",
      "\n",
      "2006年有125条数据\n",
      "            导演    上映年份     整理后剧名         评分人数          好评数\n",
      "16     林清芳/王明台  2006.0    花样少年少女    2009262.0    1767514.0\n",
      "83     于荣光/黄文利  2006.0       狼毒花    2714823.0    2438527.0\n",
      "188        丁仰国  2006.0     薛仁贵传奇    4587460.0    4054318.0\n",
      "198        叶鸿伟  2006.0  会有天使替我爱你    1576509.0    1283288.0\n",
      "794        张国立  2006.0      济公新传   13553447.0   12964318.0\n",
      "894        刘逢声  2006.0     楚留香传奇    4512446.0    4458799.0\n",
      "986      张前/陈健  2006.0        亮剑  123629453.0  114330960.0\n",
      "1120    陈家霖/张敏  2006.0       地下铁    2618582.0    2352788.0\n",
      "1149       钱雁秋  2006.0    神探狄仁杰2    7564279.0    6679585.0\n",
      "1176        乔梁  2006.0      爱了散了    1590735.0    1355628.0\n",
      "1319       康洪雷  2006.0      士兵突击    3049742.0    2766981.0\n",
      "1425        澄丰  2006.0      女人不哭    3653253.0    3181067.0\n",
      "1521   侯继元/任海滔  2006.0  风尘3侠之红拂女    1277972.0    1139068.0\n",
      "1523       梁国冠  2006.0      精卫填海    1782078.0    1594502.0\n",
      "1738       胡明凯  2006.0    少年包青天3    5365684.0    5025006.0\n",
      "2138     于敏/赵箭  2006.0      神雕侠侣   89728495.0   78438716.0\n",
      "23891     缺失数据  2006.0   梦比优斯奥特曼    1403654.0    1210569.0\n",
      "-------\n",
      "\n",
      "2007年有112条数据\n",
      "        导演    上映年份      整理后剧名         评分人数          好评数\n",
      "4     缺失数据  2007.0    18禁不禁全集   34402833.0   31482452.0\n",
      "20      未知  2007.0     命定之爱国语    1585560.0    1349494.0\n",
      "142    陈俊良  2007.0    梁山伯与祝英台    1937107.0    1672513.0\n",
      "318    张建栋  2007.0    我们生活的年代    2189955.0    2172411.0\n",
      "1084   陈家林  2007.0        王昭君    1658803.0    1427373.0\n",
      "1100   董志强  2007.0    妈妈再爱我1次    2703607.0    2338169.0\n",
      "1203    胡坤  2007.0  爱是1颗幸福的子弹    1653974.0    1586200.0\n",
      "1222    尚敬  2007.0    炊事班的故事3    5265527.0    4901011.0\n",
      "1595   廖斐鸿  2007.0       终极1家  316121794.0  305682501.0\n",
      "1958   赵宝刚  2007.0       梅艳芳菲    1711027.0    1618048.0\n",
      "-------\n",
      "\n",
      "2008年有135条数据\n",
      "            导演    上映年份   整理后剧名        评分人数         好评数\n",
      "433        于浩威  2008.0      剑谍   2510120.0   2403648.0\n",
      "445        王晓明  2008.0     空巷子   1960966.0   1834299.0\n",
      "726        刘心刚  2008.0   5星大饭店   6239373.0   6086452.0\n",
      "905    吴锦源/陈国华  2008.0   1千滴眼泪   2485499.0   1814721.0\n",
      "987         苏舟  2008.0      红日   2119555.0   2056284.0\n",
      "991     张新建/孔笙  2008.0     闯关东   2828423.0   2437388.0\n",
      "1024       余明生  2008.0    魔幻手机  56579430.0  52814034.0\n",
      "1065    刘逢声/林峰  2008.0   敌营18年   3617351.0   3591638.0\n",
      "1148       钱雁秋  2008.0  神探狄仁杰3  27291678.0  25205428.0\n",
      "1224       李惠民  2008.0    少林僧兵  20303865.0  19902192.0\n",
      "1422      乌兰塔娜  2008.0      暖春  19200908.0  19165240.0\n",
      "1832       刘立立  2008.0    新包青天   6579831.0   5679799.0\n",
      "2082       何丽萍  2008.0    宁为女人   4140592.0   3387567.0\n",
      "25001       王晶  2008.0   10大奇冤   3002099.0   2801151.0\n",
      "-------\n",
      "\n",
      "2009年有85条数据\n",
      "           导演    上映年份     整理后剧名        评分人数         好评数\n",
      "594       陈伟祥  2009.0    牌坊下的女人   8272572.0   6032685.0\n",
      "699   张国立/罗长安  2009.0  铁齿铜牙纪晓岚4   8230880.0   8177111.0\n",
      "1394      徐庆东  2009.0     重案6组3  19289721.0  17141887.0\n",
      "1727      连奕名  2009.0      中天悬剑   7139122.0   6836408.0\n",
      "1785   袁刚/成志超  2009.0       万卷楼  12005965.0  11854390.0\n",
      "1970       韦正  2009.0  爱情公寓那些事儿   8186550.0   7277273.0\n",
      "2022       余淳  2009.0      青春舞台   6787007.0   6776805.0\n",
      "2139      杨文军  2009.0        暗香  41153667.0  36843941.0\n",
      "-------\n",
      "\n",
      "2010年有81条数据\n",
      "         导演    上映年份   整理后剧名         评分人数          好评数\n",
      "514      韦正  2010.0   爱情公寓2  577167954.0  542195824.0\n",
      "613     谷锦云  2010.0      尖刀   19374945.0   19331419.0\n",
      "830     江丰宏  2010.0    泡沫之夏  244816854.0  224072795.0\n",
      "1064    柳国庆  2010.0   保姆与保安   15321054.0   15265581.0\n",
      "1171     韦正  2010.0  爱情公寓外传   18102089.0   13617416.0\n",
      "1594  张蠡/姜峰  2010.0    第5空间  214338242.0  210061655.0\n",
      "1615    柯翰辰  2010.0   就想爱着你   53007279.0   49013748.0\n",
      "1887    程力栋  2010.0     西游记   18555046.0   18431140.0\n",
      "2013    王加宾  2010.0   11向前冲   39765046.0   37876394.0\n",
      "2081    何澍培  2010.0     大丫鬟   51099269.0   51090616.0\n",
      "-------\n",
      "\n",
      "2011年有97条数据\n",
      "            导演    上映年份     整理后剧名          评分人数           好评数\n",
      "284         杨玄  2011.0      千山暮雪  1.734464e+07  1.547548e+07\n",
      "311         延艺  2011.0   盘龙卧虎高山顶  3.934580e+07  3.924897e+07\n",
      "337        李国立  2011.0      步步惊心  3.733689e+07  3.408750e+07\n",
      "691        黄建中  2011.0   王海涛今年41  1.344592e+08  1.234235e+08\n",
      "702        张国立  2011.0        养父  1.951364e+07  1.950149e+07\n",
      "1083    于正/李慧珠  2011.0      宫锁心玉  9.324091e+08  8.586994e+08\n",
      "1384        尚敬  2011.0  大学生士兵的故事  3.489208e+07  3.488127e+07\n",
      "1446       林添一  2011.0     回家的诱惑  1.014866e+09  1.014811e+09\n",
      "1689        王迎  2011.0     家的n次方  1.561293e+07  1.447166e+07\n",
      "1750        沈怡  2011.0     爱情睡醒了  3.727770e+07  3.387295e+07\n",
      "1855       付百良  2011.0      女人当官  1.673618e+07  1.410034e+07\n",
      "1948   林添一/王伟庭  2011.0     活佛济公2  2.711872e+07  2.404193e+07\n",
      "25227       萧锋  2011.0      幸福密码  4.413600e+07  4.413327e+07\n",
      "-------\n",
      "\n",
      "2012年有83条数据\n",
      "        导演    上映年份    整理后剧名        评分人数         好评数\n",
      "681     刘进  2012.0       悬崖   5124120.0   3996351.0\n",
      "1196   金炳株  2012.0  仁显王后的男人   5206043.0   4626576.0\n",
      "1208   王振宏  2012.0       樱桃   8084382.0   6513878.0\n",
      "1369   谷锦云  2012.0     麻辣女兵  10547988.0   9669712.0\n",
      "1380   郭靖宇  2012.0      红娘子   9846816.0   8314314.0\n",
      "1489   张建亚  2012.0     新西游记  11484162.0   9729792.0\n",
      "1668   李翰韬  2012.0   太平公主秘史  13857734.0  11888665.0\n",
      "1837   赖水清  2012.0    天涯明月刀  11671479.0  10490442.0\n",
      "1871   张博昱  2012.0    胜女的代价  21273416.0  18701904.0\n",
      "26309  林添一  2012.0  薛平贵与王宝钏   7069296.0   6477006.0\n",
      "-------\n",
      "\n",
      "2013年有134条数据\n",
      "               导演    上映年份    整理后剧名         评分人数          好评数\n",
      "72             习辛  2013.0       2叔    2969473.0    2140252.0\n",
      "261           邵警辉  2013.0     神秘人质    2670010.0    2175571.0\n",
      "807            刘猛  2013.0  特种兵之火凤凰   72746550.0   63740227.0\n",
      "912           于正华  2013.0    邻家花美男   12222002.0   11266397.0\n",
      "913           姜信孝  2013.0     继承者们   20423276.0   18397819.0\n",
      "1354          林建中  2013.0     英雄联盟    7582577.0    6379507.0\n",
      "1444          陶秋普  2013.0       独狼    4859055.0    3555687.0\n",
      "1534  赖水清/曹国莉/刘国辉  2013.0     非缘勿扰    3731714.0    3304170.0\n",
      "1609       沈怡/周国栋  2013.0    真爱惹麻烦    4437138.0    3762100.0\n",
      "1649          赵浚凯  2013.0    武工队传奇    4803930.0    3867390.0\n",
      "1824          张太侑  2013.0   来自星星的你  211803173.0  189782635.0\n",
      "-------\n",
      "\n",
      "2014年有246条数据\n",
      "           导演    上映年份   整理后剧名        评分人数         好评数\n",
      "339       李国立  2014.0  风中奇缘全集  33582919.0  29736130.0\n",
      "425    林弢/胡宗祥  2014.0     谢文东   6652357.0   5734525.0\n",
      "426    林弢/胡宗祥  2014.0    谢文东2   6334067.0   5527893.0\n",
      "559       柯翰辰  2014.0   真爱遇到他   5934085.0   5001460.0\n",
      "745        俞钟  2014.0      绝爱   8264974.0   6453041.0\n",
      "747       潘镜丞  2014.0   新闺蜜时代   6957162.0   5964282.0\n",
      "813       侯明杰  2014.0   我的特1营  10393899.0   8609670.0\n",
      "878       钱雁秋  2014.0    大漠枪神   6288644.0   5253431.0\n",
      "1112      张孝正  2014.0     涛女郎   9383046.0   7252193.0\n",
      "1553      高翊浚  2014.0   武媚娘传奇  91328299.0  73444480.0\n",
      "1617  曾丽珍/王丽文  2014.0    恋恋不忘  24824510.0  18722585.0\n",
      "1736      刘惠宁  2014.0   相爱10年  20462924.0  15930988.0\n",
      "1939      张博昱  2014.0    幸福爱人  11069444.0   9022412.0\n",
      "-------\n",
      "\n",
      "2015年有324条数据\n",
      "                    导演    上映年份      整理后剧名         评分人数          好评数\n",
      "98                  刘猛  2015.0       特警力量   38965035.0   34765796.0\n",
      "116                毛小睿  2015.0        小爸妈   13843324.0   10845473.0\n",
      "263                朱锐斌  2015.0        仙侠剑   12257353.0    8589762.0\n",
      "281            吴锦源/邓衍成  2015.0    抓住彩虹的男人   16323976.0   13230803.0\n",
      "430                焦晓雨  2015.0        地雷战    9350124.0    7335714.0\n",
      "476        陈玉珊/马华干/周晓鹏  2015.0       千金女贼   57678789.0   49943512.0\n",
      "587                吴子牛  2015.0         大舜    8865405.0    6782176.0\n",
      "652                邹集城  2015.0         花火   12446127.0   10594296.0\n",
      "743                黄家辉  2015.0        鸳鸯佩   17827128.0   12909386.0\n",
      "1106            虎子/张文东  2015.0        野山鹰    9643269.0    6707485.0\n",
      "1366            滕文骥/王为  2015.0       2胎时代   24608401.0   21156992.0\n",
      "1663               潘镜丞  2015.0     冰与火的青春   47471498.0   38431391.0\n",
      "1674                孙皓  2015.0     加油吧实习生  198990274.0  175397693.0\n",
      "1730                李印  2015.0       左手劈刀   10972150.0    8111186.0\n",
      "1774               陈铭章  2015.0       克拉之恋   11178336.0    9864390.0\n",
      "1775               陈铭章  2015.0       克拉恋人  301107808.0  256092092.0\n",
      "1805               王小列  2015.0       神犬小7   82828676.0   76041178.0\n",
      "1857                王梓  2015.0      俺娘田小草   11559426.0    8039081.0\n",
      "1968                韦正  2015.0    爱情公寓番外篇   13816459.0   12222270.0\n",
      "2018                俞钟  2015.0    我的媳妇是女王   17072270.0   14224495.0\n",
      "2033   黄祖权/蓝志伟/麦炳华/谭朗昌  2015.0       聊斋新编   10692667.0    8420913.0\n",
      "2084           李惠民/白云默  2015.0       多情江山   33151339.0   25256433.0\n",
      "2121                林峰  2015.0    少年神探狄仁杰   35482235.0   31894395.0\n",
      "2142               林合隆  2015.0    锦绣缘华丽冒险   54482448.0   46376708.0\n",
      "24177             缺失数据  2015.0  熊出没之冬日乐翻天    8967986.0    6191465.0\n",
      "-------\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 创建函数得到外限最大最小值\n",
    "# 查看异常值\n",
    "\n",
    "a = q2data3[q2data3['上映年份'] == 2001]\n",
    "def data_error(df,col):\n",
    "    q1 = df[col].quantile(q=0.25)  # 上四分位数\n",
    "    q3 = df[col].quantile(q=0.75)  # 下四分位数\n",
    "    iqr = q3 - q1   # IQR\n",
    "    tmax = q3 + 3 * iqr  # 外限最大值\n",
    "    tmin = q1 - 3 * iqr  # 外限最小值\n",
    "    return(tmax,tmin)\n",
    "# 创建函数，得到外限最大最小值\n",
    "\n",
    "for i in range(2000,2016):\n",
    "    datayear = q2data3[q2data3['上映年份'] == i]  # 筛选该年度的数据\n",
    "    print('%i年有%i条数据' % (i,len(datayear)))  # 查看每年的数据量\n",
    "    t = data_error(datayear,'评分人数')  # 得到外限最大最小值\n",
    "    #print(t)\n",
    "    print(datayear[datayear['评分人数'] > t[0]])  # 查看评分人数大于外限最大值的异常值\n",
    "    print('-------\\n')\n",
    "# 查看异常值信息"
   ]
  }
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