zsxq/aipoju.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BRuRh3g6BY6t"
      },
      "source": [
        "# 一、环境准备\n",
        "\n",
        "在命令行中执行下面的命令，安装 Python 依赖库\n",
        "\n",
        "辅助文档：https://yju67c1ngj.feishu.cn/docx/SqyedEAPCoUPc9xvyvRctP3PnAd?from=from_copylink\n",
        "\n",
        "下文提到的 cookie 参数需要替换为自己的"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LfIT_HzRBzyG",
        "outputId": "13449bc1-1d70-49ab-8162-5f349cea006a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: openai in /usr/local/lib/python3.10/dist-packages (1.3.5)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (2.31.0)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (3.7.1)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (1.23.5)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (1.5.3)\n",
            "Requirement already satisfied: fake-useragent in /usr/local/lib/python3.10/dist-packages (1.4.0)\n",
            "Requirement already satisfied: jieba in /usr/local/lib/python3.10/dist-packages (0.42.1)\n",
            "Requirement already satisfied: wordcloud in /usr/local/lib/python3.10/dist-packages (1.9.2)\n",
            "Requirement already satisfied: anyio<4,>=3.5.0 in /usr/local/lib/python3.10/dist-packages (from openai) (3.7.1)\n",
            "Requirement already satisfied: distro<2,>=1.7.0 in /usr/lib/python3/dist-packages (from openai) (1.7.0)\n",
            "Requirement already satisfied: httpx<1,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from openai) (0.25.2)\n",
            "Requirement already satisfied: pydantic<3,>=1.9.0 in /usr/local/lib/python3.10/dist-packages (from openai) (1.10.13)\n",
            "Requirement already satisfied: tqdm>4 in /usr/local/lib/python3.10/dist-packages (from openai) (4.66.1)\n",
            "Requirement already satisfied: typing-extensions<5,>=4.5 in /usr/local/lib/python3.10/dist-packages (from openai) (4.5.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests) (3.4)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests) (2023.7.22)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (1.2.0)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (0.12.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (4.44.3)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (1.4.5)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (23.2)\n",
            "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (9.4.0)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (3.1.1)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas) (2023.3.post1)\n",
            "Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai) (1.3.0)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai) (1.1.3)\n",
            "Requirement already satisfied: httpcore==1.* in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->openai) (1.0.2)\n",
            "Requirement already satisfied: h11<0.15,>=0.13 in /usr/local/lib/python3.10/dist-packages (from httpcore==1.*->httpx<1,>=0.23.0->openai) (0.14.0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n"
          ]
        }
      ],
      "source": [
        "!pip install openai requests matplotlib numpy pandas fake-useragent jieba wordcloud"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Pjm5I6siX358"
      },
      "source": [
        "上传字体文件，后面绘制图形需要，避免中文乱码"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "taG8ds1HXWIJ",
        "outputId": "3855ca1e-7cbf-4b7d-acfb-c8e58b4294f2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "--2023-11-26 12:18:38--  https://www.wfonts.com/download/data/2014/06/01/simhei/chinese.simhei.ttf\n",
            "Resolving www.wfonts.com (www.wfonts.com)... 172.67.129.58, 104.21.1.127, 2606:4700:3037::6815:17f, ...\n",
            "Connecting to www.wfonts.com (www.wfonts.com)|172.67.129.58|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 10050870 (9.6M) [application/octetstream]\n",
            "Saving to: ‘/usr/share/fonts/truetype/liberation/simhei.ttf’\n",
            "\n",
            "/usr/share/fonts/tr 100%[===================>]   9.58M  5.35MB/s    in 1.8s    \n",
            "\n",
            "2023-11-26 12:18:41 (5.35 MB/s) - ‘/usr/share/fonts/truetype/liberation/simhei.ttf’ saved [10050870/10050870]\n",
            "\n"
          ]
        }
      ],
      "source": [
        "!wget -O /usr/share/fonts/truetype/liberation/simhei.ttf \"https://www.wfonts.com/download/data/2014/06/01/simhei/chinese.simhei.ttf\"\n",
        "\n",
        "import matplotlib as mpl\n",
        "zhfont = mpl.font_manager.FontProperties(fname='/usr/share/fonts/truetype/liberation/simhei.ttf')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8P9KEECMQjFg"
      },
      "source": [
        "# 二、模拟 URL 获取 和 AI 辅助解析参数\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nTyGPY8hRI_5"
      },
      "source": [
        "这里我们使用知识星球网页版进行爬取，首先用登陆知识星球，进入星球的精华文章 tab 页，查看请求的url 和 headers，浏览器打开F12查看\n",
        ":\n",
        "Reauest URL: 请求地址\n",
        "\n",
        "Request Headers：请求参数"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F9HYfBvJSDQG"
      },
      "source": [
        "1、AI 辅助将 headers 参数转化为 json\n",
        "\n",
        "https://sharegpt.com/c/meVQO7Z\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6KPEXSgHSRI_"
      },
      "source": [
        "2、去掉 Json 中的无效header参数"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4bQPQCGdSdpS"
      },
      "outputs": [],
      "source": [
        "{\n",
        "    \":authority\": \"api.zsxq.com\",\n",
        "    \":method\": \"GET\",\n",
        "    \":path\": \"/v2/groups/15552545485212/topics?scope=digests&count=20\",\n",
        "    \":scheme\": \"https\"\n",
        "}"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rLkGwBkbSm5R"
      },
      "source": [
        "3、得到最终的请求参数"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "XhuCm6yHSu0T"
      },
      "outputs": [],
      "source": [
        "{\n",
        "  \"Accept\": \"application/json, text/plain, */*\",\n",
        "  \"Accept-Encoding\": \"gzip, deflate, br\",\n",
        "  \"Accept-Language\": \"zh-CN,zh;q=0.9\",\n",
        "  \"Cookie\": \"xxxx\",\n",
        "  \"Dnt\": \"1\",\n",
        "  \"Origin\": \"https://wx.zsxq.com\",\n",
        "  \"Referer\": \"https://wx.zsxq.com/\",\n",
        "  \"Sec-Ch-Ua\": \"\\\"Google Chrome\\\";v=\\\"119\\\", \\\"Chromium\\\";v=\\\"119\\\", \\\"Not?A_Brand\\\";v=\\\"24\\\"\",\n",
        "  \"Sec-Ch-Ua-Mobile\": \"?0\",\n",
        "  \"Sec-Ch-Ua-Platform\": \"\\\"macOS\\\"\",\n",
        "  \"Sec-Fetch-Dest\": \"empty\",\n",
        "  \"Sec-Fetch-Mode\": \"cors\",\n",
        "  \"Sec-Fetch-Site\": \"same-site\",\n",
        "  \"User-Agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36\",\n",
        "  \"X-Request-Id\": \"e72520c8c-f2d6-11af-e04f-70e159bca0d\",\n",
        "  \"X-Signature\": \"0415cf7b5f5fa58a4600dcaad89eb9d0d6bc7a65\",\n",
        "  \"X-Timestamp\": \"1700909364\",\n",
        "  \"X-Version\": \"2.47.0\"\n",
        "}\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rWEICsKFCQt6"
      },
      "source": [
        "# 三、爬虫获取破局星球精华文章"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eb1XH3pJDey9",
        "outputId": "f2b45e20-938c-437a-bc3d-48d817785da0"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "获取数据 40\n",
            "获取数据 60\n",
            "获取数据 80\n",
            "获取数据 100\n",
            "获取数据 120\n",
            "获取数据 140\n",
            "获取数据 160\n",
            "获取数据 180\n",
            "获取数据 200\n",
            "获取数据 220\n",
            "获取数据 240\n",
            "获取数据 260\n",
            "获取数据 280\n",
            "获取数据 300\n",
            "获取数据 320\n",
            "获取数据 340\n",
            "获取数据 357\n",
            "357\n"
          ]
        }
      ],
      "source": [
        "from urllib.parse import quote\n",
        "import time\n",
        "import random\n",
        "import requests\n",
        "from fake_useragent import UserAgent\n",
        "import datetime\n",
        "import json\n",
        "\n",
        "class ZsxqDataFetcher:\n",
        "    def __init__(self, base_url):\n",
        "        self.base_url = base_url\n",
        "\n",
        "    def _generate_headers(self):\n",
        "        ua = UserAgent()\n",
        "        user_agent = ua.random\n",
        "        return {\n",
        "          \"Accept\": \"application/json, text/plain, */*\",\n",
        "          \"Accept-Encoding\": \"gzip, deflate, br\",\n",
        "          \"Accept-Language\": \"zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6\",\n",
        "          \"Cookie\": \"xxx\",\n",
        "          \"Origin\": \"https://wx.zsxq.com\",\n",
        "          \"Referer\": \"https://wx.zsxq.com/\",\n",
        "          \"Sec-Ch-Ua\": \"\\\"Microsoft Edge\\\";v=\\\"119\\\", \\\"Chromium\\\";v=\\\"119\\\", \\\"Not?A_Brand\\\";v=\\\"24\\\"\",\n",
        "          \"Sec-Ch-Ua-Mobile\": \"?0\",\n",
        "          \"Sec-Ch-Ua-Platform\": \"\\\"Windows\\\"\",\n",
        "          \"Sec-Fetch-Dest\": \"empty\",\n",
        "          \"Sec-Fetch-Mode\": \"cors\",\n",
        "          \"Sec-Fetch-Site\": \"same-site\",\n",
        "          \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36 Edg/119.0.0.0\",\n",
        "          \"X-Request-Id\": \"45a6d3d07-dc22-9528-a85d-8227b4e61cf\",\n",
        "          \"X-Signature\": \"9c7f1b86ca20b770d66763bb53e38be782444e70\",\n",
        "          \"X-Timestamp\": \"1700996495\",\n",
        "          \"X-Version\": \"2.47.0\"\n",
        "      }\n",
        "\n",
        "\n",
        "\n",
        "    def _get_data(self, url):\n",
        "        headers = self._generate_headers()\n",
        "        max_retries = 5\n",
        "        for _ in range(max_retries):\n",
        "            rsp = requests.get(url, headers=headers)\n",
        "            topics = rsp.json().get('resp_data').get('topics')\n",
        "\n",
        "            #print(\"获取每页数据\", rsp.status_code, len(topics) if topics is not None else 0)\n",
        "            if rsp.status_code == 200 and topics is not None:\n",
        "                return topics\n",
        "            time.sleep(1)\n",
        "\n",
        "        return []\n",
        "\n",
        "    def _format_next_page_url(self, last_topic_create_time):\n",
        "        end_time = last_topic_create_time[:20]+str(int(last_topic_create_time[20:23])-1).zfill(3)+last_topic_create_time[23:]\n",
        "        if last_topic_create_time[20:23] == '000':\n",
        "            temp_time = datetime.datetime.strptime(last_topic_create_time, \"%Y-%m-%dT%H:%M:%S.%f+0800\")\n",
        "            temp_time += datetime.timedelta(seconds=-1)\n",
        "            end_time = temp_time.strftime(\"%Y-%m-%dT%H:%M:%S\") + '.999+0800'\n",
        "\n",
        "        end_time = quote(end_time)\n",
        "        return self.base_url + '&end_time=' + end_time\n",
        "\n",
        "    def fetch_all_topics(self):\n",
        "        topics = self._get_data(self.base_url)\n",
        "        while True:\n",
        "            last_topic = topics[-1] if topics else None\n",
        "            if not last_topic:\n",
        "                break\n",
        "\n",
        "            next_url = self._format_next_page_url(last_topic.get('create_time'))\n",
        "            time.sleep(random.uniform(5, 10))\n",
        "            next_page = self._get_data(next_url)\n",
        "            if not next_page:\n",
        "                break\n",
        "\n",
        "            topics += next_page\n",
        "            print(\"获取数据\", len(topics))\n",
        "\n",
        "        return topics\n",
        "\n",
        "# 使用示例\n",
        "base_url = \"https://api.zsxq.com/v2/groups/15552545485212/topics?scope=digests&count=20\"\n",
        "fetcher = ZsxqDataFetcher(base_url)\n",
        "all_topics = fetcher.fetch_all_topics()\n",
        "print(len(all_topics))\n",
        "\n",
        "# 同步到json文件，方便查看内容\n",
        "json_object = json.dumps(all_topics, indent=4, ensure_ascii=False)\n",
        "with open(\"topics.json\", \"w\") as outfile:\n",
        "    outfile.write(json_object)\n",
        "topics = all_topics"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "HIaNZSYrKfkX"
      },
      "outputs": [],
      "source": [
        "# 读取JSON文件\n",
        "with open('topics.json', 'r') as file:\n",
        "    topics = json.load(file)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1r1cr2tUBY6v"
      },
      "source": [
        "# 四、数据预处理"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iYJ8bIjpBY6w",
        "outputId": "f5d5eb1c-9434-41db-cf0c-7cb1fc985795"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "No talk {'topic_id': 211215112828241, 'group': {'group_id': 15552545485212, 'name': 'AI破局俱乐部', 'type': 'pay', 'background_url': 'https://images.zsxq.com/FslG2Iw17zo1nk4F_XhCrWvxbcR7?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:tsqPd2LDgT-ZwGcDtvh4t4SVTmk='}, 'type': 'task', 'task': {'owner': {'user_id': 51544811224184, 'name': 'findyi', 'avatar_url': 'https://images.zsxq.com/FjoYYKf24IAnA-qdduT3wHfrs9KX?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:bk0m5aITgrVp250Z0TI5A5d7XtY=', 'description': '前360技术总监、担任过独角兽公司CTO、腾讯TVP', 'location': '北京'}, 'text': '大家晚上好呀。今天是一年一度的感恩节啦。\\n\\n时间如白驹过隙，匆匆忙忙又到今日。我今天思考的时候，不由得回想起，AI破局这一路走来的故事。而我，有太多想要感谢的贵人。\\n\\n今天晚上你一定会抽时间和自己在意的人通话吧。\\n\\n那么在你看到这个活动的当下，AI破局的圈子里，你想起了与谁的故事？又想向谁说一声感谢呢？\\n\\n和我分享一下吧。\\n\\n点赞多的故事，我会送你礼物🎁。\\n\\n活动明天晚上8点截止。', 'images': [{'image_id': 181544221551182, 'type': 'jpg', 'thumbnail': {'url': 'https://images.zsxq.com/FrWPJcTtjDWn3dtoLoxZqtGakgbJ?imageMogr2/auto-orient/thumbnail/750x/format/jpg/blur/1x0/quality/75&e=1704038399&s=yymjjjyjmttt&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:uxjJFg8NFgWp1fhZnn2BYCiuzsw=', 'width': 750, 'height': 1628}, 'large': {'url': 'https://images.zsxq.com/FrWPJcTtjDWn3dtoLoxZqtGakgbJ?imageMogr2/auto-orient/quality/100!/ignore-error/1&e=1704038399&s=yymjjjyjmttt&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:mSsPWbOqeGav8ufOIsMz-6YsJRE=', 'width': 750, 'height': 1628}}]}, 'statistics': {'submitted_count': 67}, 'enabled_task': True, 'show_solutions': True, 'latest_likes': [{'create_time': '2023-11-26T02:22:30.211+0800', 'owner': {'user_id': 418581282214818, 'name': 'plxx', 'avatar_url': 'https://images.zsxq.com/FvgM7h9v1yuRIanfBGScYi7gv1Nz?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:HJzs3tMiD2DSLglFqC05-ZW_IQw=', 'number': 21166}}, {'create_time': '2023-11-25T20:17:37.612+0800', 'owner': {'user_id': 415444514824528, 'name': '珈壹珈V', 'avatar_url': 'https://images.zsxq.com/Fge9tr3356cHcj16qyTUHtuSWScf?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:jbhczAPJiK_U_uWWXmHKuCi0kLA=', 'number': 3820}}, {'create_time': '2023-11-25T17:44:05.406+0800', 'owner': {'user_id': 548115855814524, 'name': 'star', 'avatar_url': 'https://images.zsxq.com/FvswwndvCUhsLKZrC7mbAPASlkVr?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:Krtgo_MwNzBudq_8F_Ij0bNxrMQ=', 'number': 21315}}, {'create_time': '2023-11-25T11:50:49.654+0800', 'owner': {'user_id': 185248884452512, 'name': '老虎', 'avatar_url': 'https://images.zsxq.com/FsXMRuxOhIC9Y-vyLs4IcXQBvHX4?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:NfuivHmE26taJG54ZMJqCmgCj2g=', 'number': 31571}}, {'create_time': '2023-11-25T10:21:22.488+0800', 'owner': {'user_id': 582222158522224, 'name': '柳星', 'avatar_url': 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            "No talk {'topic_id': 588114542582444, 'group': {'group_id': 15552545485212, 'name': 'AI破局俱乐部', 'type': 'pay', 'background_url': 'https://images.zsxq.com/FslG2Iw17zo1nk4F_XhCrWvxbcR7?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:tsqPd2LDgT-ZwGcDtvh4t4SVTmk='}, 'type': 'q&a', 'question': {'owner': {'user_id': 88285254518482, 'name': '飞机Fitz', 'avatar_url': 'https://images.zsxq.com/FkMvntdSHxxZNuoGUAmpfXJX5TK8?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:Hi1cKOPVQshFN_uPzv6a0ylpPPM=', 'location': '上海'}, 'questionee': {'user_id': 51544811224184, 'name': 'findyi', 'avatar_url': 'https://images.zsxq.com/FjoYYKf24IAnA-qdduT3wHfrs9KX?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:bk0m5aITgrVp250Z0TI5A5d7XtY=', 'description': '前360技术总监、担任过独角兽公司CTO、腾讯TVP', 'location': '北京'}, 'text': '洋哥好呀～\\n我最近一直在思考一个问题“ai时代，一个人的核心竞争力到底会是什么？”\\n\\n会是ai这类工具吗？不知道您怎么想，我觉得肯定不是。\\n\\n我应该是最早加入星球的那批用户。当时进来真的像是打开了一个新世界，每天都有海量的信息和知识涌入，刺激着我的感官。我也不断练习着写作，提示词和绘画。但越来越发现他给我带来的边际效益在递减。快速上手的难度不高，但熟练应用并赋能自己却需要依靠更多工具以外的知识。\\n\\n我也在观察星球内的各个大佬，他们真的非常闪耀。但越观察也越发现。这些大佬的成功依靠的其实可能并不是ai工具。可能更多依靠的是行业的洞察，人脉的积累等。\\n\\nai工具其实并不是他们变现的工具，ai工具只是放大了他们的优势，让他们拥有“被看见”的可能。\\n\\nai工具真的很强大，他的强大拔高了人们使用工具的下限；他的强大使得人们以指数爆炸的形式放大了自己的优势。\\n\\n但我认为，ai工具仍然是一个“锦上添花”的东西。“花”需要添加在“锦”上才能真正的发挥价值。\\n\\n之前看过您微信公众号里的一篇文章，里面提到过一个观点，大致意思是“30岁之前考稳定性赚钱，30岁之后需要给自己寻找副业”。\\n\\n但我现在越来越觉得“副业”之所以能“成功”，根本上来说，其实很大程度取决于你在过往人生经历里所积累，所形成的认知和资源。\\n\\n也许这对于已有社会资源的人们来说是非常利好的，因为它们拥有了一个被“看见”的可能。但另一方面来说，对于刚毕业的年轻人，可能更需要沉下心来，修炼一些自己内心的“心法”和核心竞争力。因为工具的未来，必定是往低学习成本发展的。\\n\\n不知道您怎么看？期待您的回复。', 'expired': True, 'anonymous': False, 'owner_location': '上海'}, 'answer': {'owner': {'user_id': 51544811224184, 'name': 'findyi', 'avatar_url': 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'https://images.zsxq.com/FrZEY0n6x0WZ5pi0bZGm7yY6jpwV?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:TcAeNbM3fDVC6NeJMdDpGPNUMkI=', 'number': 25182}}], 'show_comments': [{'comment_id': 188418582855122, 'create_time': '2023-08-09T01:13:31.228+0800', 'owner': {'user_id': 212554544418121, 'name': 'Z', 'avatar_url': 'https://images.zsxq.com/FhyeL5eqsOU4io5y_cfDTt8gyXso?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:iJLaOHL_7COoMsQMeEkJu2r7dS8=', 'location': '中国'}, 'text': '楼主提问的很到位，洋哥解答的也很精辟，“副业的逻辑更接近创业”真的是说到点子上了[强][强][强]', 'likes_count': 6, 'rewards_count': 0, 'sticky': False}, {'comment_id': 811241815148842, 'create_time': '2023-08-09T04:13:23.373+0800', 'owner': {'user_id': 582144281815424, 'name': '油腻超体', 'avatar_url': 'https://images.zsxq.com/Fj6bTFWpnidMEF2ImagqMz0Vy496?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:uHQgzOxGps0RwpG9ZSw4hgleyjA=', 'location': '吉林'}, 'text': '精彩对话', 'likes_count': 1, 'rewards_count': 0, 'sticky': False}, {'comment_id': 811241818512512, 'create_time': '2023-08-09T07:25:25.468+0800', 'owner': {'user_id': 824584882882, 'name': '熊猫校长胡明', 'avatar_url': 'https://images.zsxq.com/FvQ_5F8w-ZItFa1_HL3Du2F407Cl?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:A_8jAyLFdykmtmwotkCXoDKPIVs=', 'location': '福建'}, 'text': '提问和回答都精彩', 'likes_count': 1, 'rewards_count': 0, 'sticky': False}, {'comment_id': 588548181144244, 'create_time': '2023-08-09T07:53:55.923+0800', 'owner': {'user_id': 88855458222212, 'name': '布瑞福', 'avatar_url': 'https://images.zsxq.com/FruzBRDbuG_1cnC7Zc41tiIEIhkw?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:LiR-aJAb_GLC29l9Si85iJATx8s=', 'location': '湖北'}, 'text': '非常精彩的对话，问题描述清晰且尖锐，回答也明确且有效', 'likes_count': 1, 'rewards_count': 0, 'sticky': False}, {'comment_id': 188418585585442, 'create_time': '2023-08-09T08:00:18.771+0800', 'owner': {'user_id': 241545151252141, 'name': '天神下凡', 'avatar_url': 'https://images.zsxq.com/FnkkvoiaXMuWMnk8EElWYb2RzMw8?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:boau7JF4KkAr2FVv_dLEBD6BnYg=', 'location': '江苏'}, 'text': '时间是最大的成本，会不停在家庭和副业之间做选择题。', 'likes_count': 1, 'rewards_count': 0, 'sticky': False}, {'comment_id': 411521818544558, 'create_time': '2023-08-09T08:09:28.072+0800', 'owner': {'user_id': 244424445888421, 'name': '牧晨', 'avatar_url': 'https://images.zsxq.com/Fg3KFb6tPQgHbFruwgiv5xsFW2FN?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:KjyGTpjt3qF9586D-YfS9bHoWuY=', 'location': '上海'}, 'text': '受益了，感谢', 'likes_count': 1, 'rewards_count': 0, 'sticky': False}, {'comment_id': 588548181551454, 'create_time': '2023-08-09T08:33:05.854+0800', 'owner': {'user_id': 15454484511412, 'name': '徐小棒', 'avatar_url': 'https://images.zsxq.com/FpTu31-AUHGPQFP_KCtK2rMZa5z0?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:8DNiy5EFMUbOlgL1b0VYITiIBg4=', 'location': '浙江'}, 'text': '笃信洋哥的话，我缺1万小时', 'likes_count': 1, 'rewards_count': 0, 'sticky': False}, {'comment_id': 411521818241258, 'create_time': '2023-08-09T08:43:41.393+0800', 'owner': {'user_id': 15552828882522, 'name': 'Dade', 'avatar_url': 'https://images.zsxq.com/FsUZMSAWgEThGv-vTAaPBmyg-M-S?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:CvxvmYpj3-C-QyYevNL84mvP48s=', 'location': '上海'}, 'text': '提问回答有水平[强][强][强]', 'likes_count': 1, 'rewards_count': 0, 'sticky': False}], 'likes_count': 163, 'rewards_count': 0, 'comments_count': 11, 'reading_count': 1, 'readers_count': 6640, 'digested': True, 'sticky': False, 'create_time': '2023-08-09T01:09:29.902+0800', 'modify_time': '2023-08-09T01:24:52.349+0800', 'user_specific': {'liked': False, 'subscribed': True}}\n",
            "No talk {'topic_id': 181412888125542, 'group': {'group_id': 15552545485212, 'name': 'AI破局俱乐部', 'type': 'pay', 'background_url': 'https://images.zsxq.com/FslG2Iw17zo1nk4F_XhCrWvxbcR7?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:tsqPd2LDgT-ZwGcDtvh4t4SVTmk='}, 'type': 'solution', 'solution': {'task_id': 584558544214444, 'owner': {'user_id': 544845285528214, 'name': '姜昌君', 'avatar_url': 'https://images.zsxq.com/FobmaK9u-4oMoUeeitY4T66CUmuJ?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:tibWp3a-zrZB9y-OGkojRxwnDyc=', 'location': '北京'}, 'text': '对于未知的问题解决方法\\n首先，利用公式：角色、目标、背景、要求，直接抛出问题，让它给出方案，\\n然后，聚焦问题，对某一类问题进行询问，大问题的分解为小问题，如果能给出满意答案，就没必要设定角色，否则要设定角色\\n最后，对具体问题一个个询问直到找到你需要的答案', 'images': [{'image_id': 812252858185442, 'type': 'png', 'thumbnail': {'url': 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            "No talk {'topic_id': 814281522215882, 'group': {'group_id': 15552545485212, 'name': 'AI破局俱乐部', 'type': 'pay', 'background_url': 'https://images.zsxq.com/FslG2Iw17zo1nk4F_XhCrWvxbcR7?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:tsqPd2LDgT-ZwGcDtvh4t4SVTmk='}, 'type': 'solution', 'solution': {'task_id': 181451258454512, 'owner': {'user_id': 48254482212858, 'name': '鱼皮', 'avatar_url': 'https://images.zsxq.com/Fvz5adK4klcL-aGKtRG4Ix-vc8lx?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:msWyEmoaeyR53f1FcNt1p_T3Dao=', 'description': '大厂开发，持续探索编程 + AI 的可能性', 'location': '上海'}, 'text': '昨天也尝试了用 ChatGPT + Mindshow 快速生成 PPT，PPT 的主题是 Nginx 技术的知识分享。\\n\\n首先用 ChatGPT 生成文案，这里分享下我的 Prompt，生成的内容挺准确的~\\n\\n---\\n请帮我写一篇 Nginx 零基础教程，要求如下：\\n内容要求：包括 Nginx 的介绍、应用场景、快速上手、常用特性、注意事项、原理概述等\\n字数要求：不少于 1500、不大于 2000 字\\n格式要求：文章使用 Markdown 语法，并严格区分标题\\n文风要求：语气轻松幽默，可以适当使用一些比喻\\n---\\n\\n就得到了图 1 所示的文章，输入 “继续” 可以生成完整内容。可以适当地自行添加一些图片。\\n\\n然后将文案导入到 MindShow 平台（mindshow.fun），即可生成如图 2 所示的 PPT。再切换一个布局，就得到了图 3 的页面，感觉还是挺帅的~\\n\\n不过美中不足的是 mindshow 平台的 ppt 生成能力还有待提高，下载下来的 pptx 文件可能会丢失图片（我这遇到了），开发者们也可以尝试 <e type=\"web\" href=\"https%3A%2F%2Fcn.sli.dev%2Fguide%2Fwhy.html%23slidev\" title=\"%E4%B8%BA%E4%BB%80%E4%B9%88%E9%80%89%E6%8B%A9+Slidev+%7C+Slidev\" />，自己用代码生成 PPT。', 'images': [{'image_id': 212818215124421, 'type': 'png', 'thumbnail': {'url': 'https://images.zsxq.com/FldO0pOQCfPnLeuCtRyG3gp6dMPU?imageMogr2/auto-orient/thumbnail/380x/format/jpg/blur/1x0/quality/75&e=1704038399&s=yymjjjyjmttt&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:-TroTu0Bo_V1BCMocenreUY1rOE=', 'width': 380, 'height': 446}, 'large': {'url': 'https://images.zsxq.com/FldO0pOQCfPnLeuCtRyG3gp6dMPU?imageMogr2/auto-orient/thumbnail/800x/format/jpg/blur/1x0/quality/75&e=1704038399&s=yymjjjyjmttt&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:vGZ5Nc2w8kEQ72I0C7jYWamqjdA=', 'width': 800, 'height': 940}, 'original': {'url': 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'likes_count': 1, 'rewards_count': 0, 'sticky': False, 'repliee': {'user_id': 118515241528822, 'name': '小黄同学', 'avatar_url': 'https://images.zsxq.com/Fq1hfGQfdbTALR9Vmy2MeM4jsEaa?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:WztIEyGwliLo7uQd8-PHjzZ8txU='}}, {'comment_id': 588151421514424, 'create_time': '2023-04-10T14:28:38.118+0800', 'owner': {'user_id': 185442525414552, 'name': '阁～烟雨', 'alias': '星球志愿者-阁～烟雨', 'avatar_url': 'https://images.zsxq.com/Fs_CnDlhLUkJ4PmFDmDiD9yDwda8?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:RNzazi_8bvsTq-7kWYoINrajlsU=', 'location': '河南'}, 'text': '鱼哥，问你个问题，现在的后端转那个方向好点，我真的要死守Java吗？都说技术在精不在多，现在这个形式，我感觉很慌，我还剩差不多一个月时间，AI方向那个领域可以学习有哪些岗位[玫瑰]', 'likes_count': 1, 'rewards_count': 0, 'sticky': False, 'replies_count': 3}, {'comment_id': 211828458415441, 'parent_comment_id': 588151421514424, 'create_time': '2023-04-10T14:52:58.249+0800', 'owner': {'user_id': 48254482212858, 'name': '鱼皮', 'avatar_url': 'https://images.zsxq.com/Fvz5adK4klcL-aGKtRG4Ix-vc8lx?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:msWyEmoaeyR53f1FcNt1p_T3Dao=', 'description': '大厂开发，持续探索编程 + AI 的可能性', 'location': '上海'}, 'text': '就 1 个月，选择你目前学得知识最多的方向', 'likes_count': 1, 'rewards_count': 0, 'sticky': False, 'repliee': {'user_id': 185442525414552, 'name': '阁～烟雨', 'alias': '星球志愿者-阁～烟雨', 'avatar_url': 'https://images.zsxq.com/Fs_CnDlhLUkJ4PmFDmDiD9yDwda8?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:RNzazi_8bvsTq-7kWYoINrajlsU='}}, {'comment_id': 211828458155281, 'parent_comment_id': 588151421514424, 'create_time': '2023-04-10T14:58:02.803+0800', 'owner': {'user_id': 185442525414552, 'name': '阁～烟雨', 'alias': '星球志愿者-阁～烟雨', 'avatar_url': 'https://images.zsxq.com/Fs_CnDlhLUkJ4PmFDmDiD9yDwda8?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:RNzazi_8bvsTq-7kWYoINrajlsU=', 'location': '河南'}, 'text': '就学Java了，其他方向也就是前端了', 'likes_count': 1, 'rewards_count': 0, 'sticky': False, 'repliee': {'user_id': 48254482212858, 'name': '鱼皮', 'avatar_url': 'https://images.zsxq.com/Fvz5adK4klcL-aGKtRG4Ix-vc8lx?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:msWyEmoaeyR53f1FcNt1p_T3Dao=', 'description': '大厂开发，持续探索编程 + AI 的可能性'}}, {'comment_id': 411858242858458, 'create_time': '2023-04-10T17:20:37.015+0800', 'owner': {'user_id': 548158544115214, 'name': '梁小兵', 'avatar_url': 'https://images.zsxq.com/FtJcGJHKg_gXcLCMUA8xKDaykjzU?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:2e3NwOzpixrJql29DwaepghZJJ8=', 'location': '北京'}, 'text': '特别想知道，怎么科学上网的[发呆][发呆]', 'likes_count': 1, 'rewards_count': 0, 'sticky': False, 'replies_count': 2}, {'comment_id': 811828488454422, 'create_time': '2023-04-10T20:41:44.314+0800', 'owner': {'user_id': 581141154882854, 'name': '白云', 'avatar_url': 'https://images.zsxq.com/Fir_JMUYO8AtBEXYNn6qubPFE2bG?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:mAsSHDjWaFZA6M6ggOUdA0XRacQ=', 'location': '广东'}, 'text': '好几年前就知道大佬公众号的一个非互联网人[呲牙]', 'likes_count': 1, 'rewards_count': 0, 'sticky': False}, {'comment_id': 188545821215252, 'create_time': '2023-04-12T00:19:47.754+0800', 'owner': {'user_id': 544451585544214, 'name': 'zhihai.tu', 'alias': 'zhihai.tu', 'avatar_url': 'https://images.zsxq.com/Fku6pft2WjUDRRhu15SWqPVXeepR?e=1704038399&token=kIxbL07-8jAj8w1n4s9zv64FuZZNEATmlU_Vm6zD:fm-c3YAkf_95MJiJ2QiEK94nY3Y=', 'location': '上海'}, 'text': '请问下导入是否只能逐条手工复制粘贴？似乎没有一键导入的功能。', 'likes_count': 1, 'rewards_count': 0, 'sticky': False, 'replies_count': 2}], 'annotation': '<e type=\"hashtag\" hid=\"48888884148848\" title=\"%23%E6%AF%8F%E6%97%A5%E7%B2%BE%E9%80%89%23\" />', 'likes_count': 108, 'rewards_count': 0, 'comments_count': 14, 'reading_count': 1, 'readers_count': 14133, 'digested': True, 'sticky': False, 'create_time': '2023-04-10T14:18:17.340+0800', 'modify_time': '2023-04-10T14:18:41.385+0800', 'user_specific': {'liked': False, 'subscribed': True}}\n",
            "(159, 9)\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "from  datetime import datetime\n",
        "tmpArr = []\n",
        "for item in topics:\n",
        "    # 过滤无效的文章\n",
        "    if 'talk' not in item:\n",
        "        print(\"No talk\", item)\n",
        "        continue\n",
        "\n",
        "    # 文章内容分两种形式：纯文本 + 链接\n",
        "    if 'article' not in item['talk']:\n",
        "        title = item[\"talk\"][\"text\"]\n",
        "        html_content = item[\"talk\"][\"text\"]\n",
        "        acticle_url = \"\"\n",
        "    else:\n",
        "        title = item[\"talk\"][\"article\"][\"title\"]\n",
        "        #html_content = requests.get(item[\"talk\"][\"article\"][\"inline_article_url\"]).content\n",
        "        html_content = \"\"\n",
        "        acticle_url = item[\"talk\"][\"article\"][\"inline_article_url\"]\n",
        "        tmpArr.append(\n",
        "          {\n",
        "              \"title\": title,\n",
        "              \"owner\": item[\"talk\"][\"owner\"][\"name\"],\n",
        "              \"location\": item[\"talk\"][\"owner\"][\"location\"],\n",
        "              \"create_time\": item[\"create_time\"],\n",
        "              \"readers_count\": item[\"readers_count\"],\n",
        "              \"likes_count\": item[\"likes_count\"],\n",
        "              \"article_url\": acticle_url,\n",
        "              \"acticle_content\": html_content,\n",
        "              \"hour\": datetime.strptime(item[\"create_time\"], \"%Y-%m-%dT%H:%M:%S.%f%z\").hour\n",
        "          }\n",
        "        )\n",
        "df = pd.DataFrame(tmpArr)\n",
        "df.to_csv(\"topics.csv\")\n",
        "df.head()\n",
        "df = df[df['owner'] != 'findyi']\n",
        "print(df.shape)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "X7ve_M_cBY6w"
      },
      "source": [
        "# 五、文章作者拆解"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 676
        },
        "id": "6Q-6xFzeBY6w",
        "outputId": "8016295c-619d-43d7-b628-6af240433b63"
      },
      "outputs": [
        {
          "data": {
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              "      <th></th>\n",
              "      <th>author</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>小潘</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>小七姐</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>皮特</td>\n",
              "      <td>9</td>\n",
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              "      <th>3</th>\n",
              "      <td>闫小林</td>\n",
              "      <td>8</td>\n",
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              "      <th>4</th>\n",
              "      <td>段老湿</td>\n",
              "      <td>7</td>\n",
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              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>王强@ZelinAI</td>\n",
              "      <td>4</td>\n",
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              "      <th>6</th>\n",
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              "      <td>4</td>\n",
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              "      <td>杨其顶</td>\n",
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              "      <td>潘达</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>冯帅Prompt</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>木川</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>一个剑</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
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              "      <th>14</th>\n",
              "      <td>丙丙</td>\n",
              "      <td>2</td>\n",
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              "      <td>2</td>\n",
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              "      <td>刘海</td>\n",
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              "    <tr>\n",
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              "      <td>2</td>\n",
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              "    <tr>\n",
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              "      <td>罗根</td>\n",
              "      <td>2</td>\n",
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              "    <tr>\n",
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              "      <td>阁～烟雨</td>\n",
              "      <td>2</td>\n",
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              "  }\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-739154f0-abed-4b2d-b5b6-a1976f0f5300 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "        author  article_count\n",
              "0           小潘             21\n",
              "1          小七姐              9\n",
              "2           皮特              9\n",
              "3          闫小林              8\n",
              "4          段老湿              7\n",
              "5   王强@ZelinAI              4\n",
              "6         叫我峰兄              4\n",
              "7           卡尔              4\n",
              "8          杨其顶              3\n",
              "9           秋仁              3\n",
              "10          潘达              3\n",
              "11    冯帅Prompt              3\n",
              "12          木川              3\n",
              "13         一个剑              2\n",
              "14          丙丙              2\n",
              "15        清风明月              2\n",
              "16          刘海              2\n",
              "17       台风-2号              2\n",
              "18          罗根              2\n",
              "19        阁～烟雨              2"
            ]
          },
          "execution_count": 34,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# 统计每位作者的文章数\n",
        "author_article_counts = df['owner'].value_counts().reset_index()\n",
        "author_article_counts.columns = ['author', 'article_count']\n",
        "# 展示前 20个 作者\n",
        "author_article_counts.head(20)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N0Fto4KHBY6w"
      },
      "source": [
        "# 六、作者所在城市分析"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 454
        },
        "id": "5POfcfE_BY6w",
        "outputId": "83c7494a-a01b-4646-f5c1-e107f56fa4de"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# 覆盖了多少个城市\n",
        "# 统计每位作者的文章数\n",
        "metrics = df['location'].value_counts().reset_index()\n",
        "metrics.columns = ['X', 'Y']\n",
        "\n",
        "# 绘制柱状图\n",
        "plt.figure(figsize=(10, 6))\n",
        "plt.bar(metrics['X'], metrics['Y'], color='darkorange')\n",
        "plt.xlabel('城市', fontproperties=zhfont)\n",
        "plt.ylabel('文章数', fontproperties=zhfont)\n",
        "plt.title('城市的精华文章数', fontproperties=zhfont)\n",
        "plt.xticks(rotation=45, fontproperties=zhfont)  # 旋转 X 轴标签，使其更易读\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1DB27oWFBY6w"
      },
      "source": [
        "# 七、文章发表时间分析"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        },
        "id": "o8AYEZu1BY6w",
        "outputId": "97376c96-809c-43ce-e179-1fade4238f13"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "metrics = df['hour'].value_counts().reset_index()\n",
        "metrics.columns = ['X', 'Y']\n",
        "\n",
        "# 绘制柱状图\n",
        "plt.figure(figsize=(10, 6))\n",
        "metrics\n",
        "plt.bar(metrics['X'], metrics['Y'], color='darkorange')\n",
        "plt.xlabel('小时', fontproperties=zhfont)\n",
        "plt.ylabel('文章数', fontproperties=zhfont)\n",
        "plt.title('小时的精华文章数', fontproperties=zhfont)\n",
        "plt.xticks(metrics['X'], fontproperties=zhfont) # 设置 x 轴刻度和标签\n",
        "# plt.xticks(rotation=45)  # 旋转 X 轴标签，使其更易读\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Bisn2T3sBY6x"
      },
      "source": [
        "# 八、阅读数分析"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l94XEmWpBY6x"
      },
      "source": [
        "## 一）查看某个作者的文章"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GjYuK4vNBY6x",
        "outputId": "ce6edbc5-18a2-4a55-c39e-9337092b020b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "(3, 9)\n",
            "title: CodeGeex 编程大模型应用复盘, owner: 木川, article_url: https://articles.zsxq.com/inline_form/id_arb464kfrkjn.html, 5845, 89\n",
            "title: 我用 AI + 编程拆解了破局 300+ 精华文章，我惊呆了, owner: 木川, article_url: https://articles.zsxq.com/inline_form/id_wu8tqxikt3wo.html, 4893, 152\n",
            "title: 加入破局 180 天，成功立起 IP, owner: 木川, article_url: https://articles.zsxq.com/inline_form/id_357cf87dxfeq.html, 3101, 64\n"
          ]
        }
      ],
      "source": [
        "df2 = df[df['article_url'] != '']\n",
        "df2 = df[df['owner'] == '木川']\n",
        "print(df2.shape)\n",
        "\n",
        "df_sorted = df2.sort_values(by=\"readers_count\", ascending=False)\n",
        "for index, row in df_sorted.iterrows():\n",
        "    print(f\"title: {row['title'][:30]}, owner: {row['owner']}, article_url: {row['article_url']}, {row['readers_count']}, {row['likes_count']}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nGdwZmfMBY6x"
      },
      "source": [
        "## 二）计算不同分位数下的文章阅读数，绘制箱线图"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 559
        },
        "id": "m6XEl9e3BY6x",
        "outputId": "210beac8-e278-439b-a607-a0a79175340e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "50 分位数：6259.0\n",
            "75 分位数：10489.0\n",
            "90 分位数：12936.2\n",
            "95 分位数：13984.0\n",
            "100 分位数：20783.0\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "readership_data = df[\"readers_count\"]\n",
        "\n",
        "# 创建箱线图\n",
        "# 计算不同分位数\n",
        "percentiles = [50, 75, 90, 95, 100]\n",
        "percentile_values = np.percentile(readership_data, percentiles)\n",
        "\n",
        "# 打印分位数的值\n",
        "for p, value in zip(percentiles, percentile_values):\n",
        "    print(f\"{p} 分位数：{value}\")\n",
        "\n",
        "# 绘制箱线图\n",
        "plt.boxplot(readership_data, vert=False)\n",
        "\n",
        "# 添加不同颜色的分位数标识\n",
        "colors = ['green', 'blue', 'orange', 'purple', 'red']\n",
        "for p, value, color in zip(percentiles, percentile_values, colors):\n",
        "    plt.scatter(value, 1, color=color, marker='o', label=f\"{p}\")\n",
        "\n",
        "# 设置标签和标题\n",
        "plt.xlabel(\"阅读数\", fontproperties=zhfont)\n",
        "plt.title(\"不同分位数的阅读数分布\", fontproperties=zhfont)\n",
        "\n",
        "# 添加图例\n",
        "plt.legend()\n",
        "\n",
        "# 显示图表\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w6lhiHnhBY6x"
      },
      "source": [
        "## 三）统计不同阅读数区间的文章数，绘制直方图"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 469
        },
        "id": "554XG7x0BY6x",
        "outputId": "f4a003ce-a8e1-42be-8bf6-94b114398cf8"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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//vWvatOmjTp06GALVlu2bNHw4cP11VdfqVWrVtd8L93c3OwuzRQUFOjy5ctKSkrS9u3bNXXqVLv2eXl5uvfee5WZmanMzEy99dZbdmEoPj5e69at05YtW2yBqrCwULm5uba+fv/99zpw4IDdNH/+fElXgtLVT1jesWOH2rVrJy8vL0VHR9uWb9q0SQsXLtSSJUtKPPNzdU3169dXfHy8Nm7cqCpVqhQ703Sjh+sBluWQp9cAuKbLly+bIUOGGH9/f+Pj42NefPFFk5GRYVsfGxtrevXqZVxdXY0k06dPn2vua+TIkea111677uu9+uqrZuLEiebMmTMmISGh2PrExEQTGhpqBg4caAoKCmzL58+fb3777TeTkpJi6tWrZ4KCgszf/vY3uwfkrVixwlStWtV88cUXxhhj1q1bZ5544glTq1Yt8/7775vCwkKTnZ1tnnnmGePr62smTJhgjDHm448/Nh4eHmb69Om292TUqFHFHoSXlJRkHnnkEfPRRx+ZwsLC6/bzanfffbdZvXr1NdcnJyebTZs22eZPnjxpjh07ZpsfP368adasma1eY4zZv3+/7QF/t99++3Wn0NBQExgYaNt2zpw5pmfPniYtLc2ujpEjR5qqVauaP/3pT+bcuXPF6uzYsaPtgX3XmySZ3377rdTvD2AlLsY44JfhAFzXv/71Lx09elQDBgxQYGBgiW2Sk5O1YsUKdezYUU2aNKngCu0dPHhQd9xxR7FLKZJ09uxZ22WRf/3rX0pKStLAgQPl5+dna/PJJ5+odevWdr/R9MMPP+iuu+5S1apVy78DTqqgoKDEW82LnD17Vr6+viU+tBD4X0GQAQAAlsUYGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFm39JN9CwsLderUKVWpUoVfgQUAwCKMMcrMzFRoaGiJP5Z6tVs6yJw6darYD8kBAABrOH78uGrWrHndNrd0kCn6rZHjx4/bPXwLAAA4r4yMDNWqVavYb4aV5JYOMkWXk/z8/AgyAABYTGmGhTDYFwAAWBZBBgAAWBZBBgAAWBZBBgAAWBZBBgAAWBZBBgAAWBZBBgAAWBZBBgAAWBZBBgAAWBZBBgAAWBZBBgAAWBZBBgAAWBZBBgAAWNYt/evXuDUkJSUpNTXV0WWUSfXq1RUWFuboMgDglkeQgVNLSkpSk8aNlH0px9GllIlPJW/F/5pAmAGAckaQgVNLTU1V9qUcLewvNQlydDWlE39GemJRjlJTUwkyAFDOCDKwhCZBUpuajq4CAOBsGOwLAAAsiyADAAAsiyADAAAsiyADAAAsi8G+/2Os9kyW+Ph4R5cAAHBiBJn/IVZ9JgsAANdCkPkfYsVnsqz+VXpjjaOrAAA4K4LM/yArPZMl/oyjKwAAODMG+wIAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMsiyAAAAMtymiAzZcoUubi4aMyYMbZlOTk5GjVqlAIDA1W5cmX16dNHKSkpjisSAAA4FacIMrt27dJHH32kFi1a2C1/4YUXtHLlSi1btkybN2/WqVOn1Lt3bwdVCQAAnI3Dg8zFixc1YMAAzZkzR1WrVrUtT09P19y5czV9+nQ98MADatu2rebPn6/t27dr586dDqwYAAA4C4cHmVGjRqlnz56KjIy0Wx4bG6v8/Hy75Y0bN1ZYWJh27NhR0WUCAAAn5O7IF1+yZIl+/vln7dq1q9i65ORkeXp6KiAgwG55cHCwkpOTS9xfbm6ucnNzbfMZGRk3tV4AAOBcHHZG5vjx43r++ef1+eefy9vb+6bsc/LkyfL397dNtWrVuin7BQAAzslhQSY2NlZnzpxRmzZt5O7uLnd3d23evFkffPCB3N3dFRwcrLy8PKWlpdltl5KSopCQkBL3OX78eKWnp9um48ePV0BPAACAozjs0lLnzp21f/9+u2VDhgxR48aN9fLLL6tWrVry8PDQ+vXr1adPH0lSQkKCkpKSFBERUeI+vby85OXlVe61AwAA5+CwIFOlShU1a9bMbpmvr68CAwNty4cOHaqxY8eqWrVq8vPz07PPPquIiAh16NDBESUDAAAn49DBvjcyY8YMubq6qk+fPsrNzVVUVJRmzZrl6LIAAICTcKogs2nTJrt5b29vRUdHKzo62jEFAQAAp+bw58gAAAD8XgQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQ4LMrNnz1aLFi3k5+cnPz8/RURE6LvvvrOtz8nJ0ahRoxQYGKjKlSurT58+SklJcVS5AADACTksyNSsWVNTpkxRbGysdu/erQceeEC9evXSwYMHJUkvvPCCVq5cqWXLlmnz5s06deqUevfu7ahyAQCAE3J31As/+OCDdvN/+9vfNHv2bO3cuVM1a9bU3LlztWjRIj3wwAOSpPnz56tJkybauXOnOnTo4IiSAQCAk3GKMTKXL1/WkiVLlJWVpYiICMXGxio/P1+RkZG2No0bN1ZYWJh27Nhxzf3k5uYqIyPDbgIAALcuhwaZ/fv3q3LlyvLy8tLTTz+tb775RnfeeaeSk5Pl6empgIAAu/bBwcFKTk6+5v4mT54sf39/21SrVq1y7gEAAHAkhwaZRo0aae/evYqJidEzzzyjQYMGKS4u7nfvb/z48UpPT7dNx48fv4nVAgAAZ+OwMTKS5OnpqQYNGkiS2rZtq127dun9999X3759lZeXp7S0NLuzMikpKQoJCbnm/ry8vOTl5VXeZQMAACfhFGNkihQWFio3N1dt27aVh4eH1q9fb1uXkJCgpKQkRUREOLBCAADgTBx2Rmb8+PHq3r27wsLClJmZqUWLFmnTpk36/vvv5e/vr6FDh2rs2LGqVq2a/Pz89OyzzyoiIoI7lgAAgI3DgsyZM2c0cOBAnT59Wv7+/mrRooW+//57denSRZI0Y8YMubq6qk+fPsrNzVVUVJRmzZrlqHIBAIATcliQmTt37nXXe3t7Kzo6WtHR0RVUEQAAsBqnGiMDAABQFgQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWWUKMocOHdKQIUNu2K5v377au3fv760JAACgVMoUZFxdXbV48WLVrVtX7du310MPPaQXX3xRCxcuVGpqqiTp/fff19q1a1WlSpVyKRgAAKCIe1k36N69u+bOnau0tDSdOnVKcXFx2rhxo1599VXVq1dPiYmJWrt2rerXr18e9QIAANiUOsgMHTpUzZo1k4eHh6pVq6Zq1aqpdu3aunTpkmJiYpSbmyt3d3fddtttaty4cXnWDAAAIKkMQaZhw4bavn27Nm/erG7dukmScnJy1KxZM/3xj3/UzJkz5ePjoxEjRuiJJ57QN998U25FAwAASGUIMq+88ookafPmzUpNTdX777+v9PR0/eMf/7Br995776lBgwZatmyZHn300ZtbLQAAwFVKPdh3xIgRWrdunf70pz+pXbt28vf319SpUyVJ8+fP19mzZ3XhwgXdd999eumllxQUFFRuRQMAAEhlOCPz9NNPa8+ePapUqZI++eQT3X///erUqZMkafTo0frLX/5iGzvz/PPPl1vBAAAARUodZKZOnSpvb2+lpaXpxIkTOnLkiM6fPy9fX18FBwfr0KFD6tKli1JSUpSVlSVfX9/yrBsAAKD0l5a6deumqKgoFRYWav369erQoYO2b9+umjVrKiMjQ0eOHFFqaqp69uxpG08DAABQnkodZKpWraqzZ88qICBAw4YN09y5cxUVFaWEhATl5+erT58+qlu3riZOnKhVq1bpxIkT5Vk3AABA6YPMpUuX1KdPH128eFETJkxQ06ZN9Ze//EUhISHy8/PTvn37NH36dHl5eal3796aM2dOedYNAABQ+jEy/fr1kyTFxcVJkqKjo+Xv76+CggL1799frq6utqf5Dh8+XO7uZX5oMAAAQJmUOW2EhoZKunKpSZI8PT1tt2EXadSo0U0oDQAA4PrK9KORRT755BPt27ev2PK8vDw9+OCD/3VRAAAApVHqIJObm6u+fftKkhISEpSWlqaMjAzl5eUpLy9PmZmZcnNz088//1xuxQIAAFyt1JeWPD09lZCQcGUjd3e5u7srICBALi4utmW5ubny9PQsn0oBAAD+Q6mDjIuLi1xcXLRmzRpbeAkPD9dLL72kxMRELVmypNyKBAAAKEmZx8i8+eabmjlzpi3MuLm5yc3N7aYXBgAAcCOlCjKXLl3S9OnT5eLiop07d+qpp56SMcaujTFGb7/9ttLT0zVx4sRyKRYAAOBqpQoyxhitXbvWNu/l5VVimwsXLqiwsFDnz5+/eRUCAABcQ6mCjI+Pj7777jsZY/TNN9/o2LFjxXfk6qp33nlHVatW1cyZM296oQAAAP+pzGNkVq5cqby8PElSYWGhsrKydOnSJV2+fPmmFwcAAHA9ZX6y77x58zR+/HhJ0q5duzRgwIArO+InCQAAQAUrdfrIz89Xdna2pCtnYowxOn/+vLy8vFRYWKj8/HxJKjYIGAAAoLyUOsi4u7vr22+/lXTlpwhyc3MVEBBg1yYvL88WdgAAAMpbmR6I17BhQ0nSjBkzSmzj6empM2fO3JzKAAAAbqDMg327deumTp06XbfNY489Zvs5AwAAgPJS5iBz9uxZnT179prrT548qS+//FJbtmz5rwoDAAC4kTIHGVdX1+v+JMHWrVvl5uamXr16/VeFAQAA3EiZg4wkxcXFqXnz5ho7dqx++eUXu3ULFy7Ugw8+qKCgoJtSIAAAwLX8roe/hIWFaeTIkdqwYYM6dOigjh076t1331VmZqZ++OEH/fTTTze7TgAAgGJKFWQyMzM1e/ZsnTt3TpJUpUoVPfPMM3rmmWd0+vRpvf7662rbtq0CAwM1duxYtWrVqjxrBgAAkFTKS0t///vf9de//tX20wRXq1GjhiZOnKjQ0FAlJyerR48eN71IAACAkpQqyIwdO1anTp0q9vyYo0eP6s0331SrVq3Uo0cPvfLKK3ryySeVlZVVLsUCAABcrVSXlvz9/e3mDx48qHr16unUqVOKjIzUd999p/DwcBUWFmrNmjWaNGmSpk6dWi4FAwAAFPlddy1J0oIFC3T+/Hl9++23Cg8Pv7IzV1e98sormjVrli5cuHDTigQAAChJmYPM5cuX1bBhQ3Xs2FE+Pj7F1j/yyCNyd3fX559/flMKBAAAuJYy335d9GvX19yhu7t69+6tOnXq/Dd1AQAA3FCZg8yOHTtu2OaTTz6Ri4vL7yoIAACgtH73GJnrIcQAAICKUC5BBgAAoCIQZAAAgGURZAAAgGX9rh+NBABnkJSUpNTUVEeXUSbVq1dXWFiYo8sAbhkEGQCWlJSUpCaNGyn7Uo6jSykTn0reiv81gTAD3CQEGQCWlJqaquxLOVrYX2oS5OhqSif+jPTEohylpqYSZICbhCADwNKaBEltajq6CgCO4rDBvpMnT9Zdd92lKlWqKCgoSA8//LASEhLs2uTk5GjUqFEKDAxU5cqV1adPH6WkpDioYgAA4GwcFmQ2b96sUaNGaefOnVq7dq3y8/PVtWtXZWVl2dq88MILWrlypZYtW6bNmzfr1KlT6t27t6NKBgAATsZhl5bWrFljN79gwQIFBQUpNjZWHTt2VHp6uubOnatFixbpgQcekCTNnz9fTZo00c6dO9WhQwdHlA0AAJyI0zxHJj09XZJUrVo1SVJsbKzy8/MVGRlpa9O4cWOFhYVd8/eecnNzlZGRYTcBAIBbl1MEmcLCQo0ZM0b33HOPmjVrJklKTk6Wp6enAgIC7NoGBwcrOTm5xP1MnjxZ/v7+tqlWrVrlXToAAHAgpwgyo0aN0oEDB7RkyZL/aj/jx49Xenq6bTp+/PhNqhAAADgjh99+PXr0aH377bfasmWLatb8v3soQ0JClJeXp7S0NLuzMikpKQoJCSlxX15eXvLy8irvkgEAgJNw2BkZY4xGjx6tb775Rhs2bFDdunXt1rdt21YeHh5av369bVlCQoKSkpIUERFR0eUCAAAn5LAzMqNGjdKiRYu0YsUKValSxTbuxd/fX5UqVZK/v7+GDh2qsWPHqlq1avLz89Ozzz6riIgI7lgCAACSHBhkZs+eLUm6//777ZbPnz9fgwcPliTNmDFDrq6u6tOnj3JzcxUVFaVZs2ZVcKUAAMBZOSzIGGNu2Mbb21vR0dGKjo6ugIoAAIDVOMVdSwAAAL8HQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFiWu6MLAOAckpKSlJqa6ugySi0+Pt7RJQBwAgQZAEpKSlKTxo2UfSnH0aUAQJkQZAAoNTVV2ZdytLC/1CTI0dWUzupfpTfWOLoKAI5GkAFg0yRIalPT0VWUTvwZR1cAwBkw2BcAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFgWQQYAAFiWu6MLAG5V8fHxji6h1KxUKwBcjSAD3GSnMyRXF+mJJ55wdCkAcMsjyAA3WVqOVGikhf2lJkGOrqZ0Vv8qvbHG0VUAQNkRZIBy0iRIalPT0VWUTvwZR1cAAL+PQwf7btmyRQ8++KBCQ0Pl4uKi5cuX2603xmjChAmqUaOGKlWqpMjISB06dMgxxQIAAKfj0CCTlZWlli1bKjo6usT106ZN0wcffKAPP/xQMTEx8vX1VVRUlHJyciq4UgAA4Iwcemmpe/fu6t69e4nrjDF677339Prrr6tXr16SpH/+858KDg7W8uXL1a9fv4osFQAAOCGnHSOTmJio5ORkRUZG2pb5+/srPDxcO3bsKDHI5ObmKjc31zafkZFRIbUCQFlY7Xb36tWrKywszNFlACVy2iCTnJwsSQoODrZbHhwcbFv3nyZPnqy33nqr3GsDgN/Dqrfm+1TyVvyvCYQZOCWnDTK/x/jx4zV27FjbfEZGhmrVquXAigDg/1jx1vz4M9ITi3KUmppKkIFTctogExISIklKSUlRjRo1bMtTUlLUqlWrErfx8vKSl5dXRZQHAL+blW7NB5yd0/7WUt26dRUSEqL169fblmVkZCgmJkYREREOrAwAADgLh56RuXjxog4fPmybT0xM1N69e1WtWjWFhYVpzJgx+utf/6qGDRuqbt26euONNxQaGqqHH37YcUUDAACn4dAgs3v3bv3hD3+wzReNbxk0aJAWLFigl156SVlZWXrqqaeUlpame++9V2vWrJG3t7ejSgYAAE7EoUHm/vvvlzHmmutdXFw0adIkTZo0qQKrAgAAVuG0Y2QAAABuhCADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsy93RBVhZUlKSUlNTHV1GqcXHxzu6BAAAbiqCzO+UlJSkJo0bKftSjqNLAQDgfxZB5ndKTU1V9qUcLewvNQlydDWls/pX6Y01jq4CAICbhyDzX2oSJLWp6egqSif+jKMrAADg5mKwLwAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCx3RxcAAEB5SEpKUmpqqqPLKJPq1asrLCzM0WVYCkEGAHDLSUpKUpPGjZR9KcfRpZSJTyVvxf+aQJgpA4IMAOCWk5qaquxLOVrYX2oS5OhqSif+jPTEohylpqYSZMqAIAMAuGU1CZLa1HR0FShPDPYFAACWRZABAACWRZABAACWRZABAACWxWBfAMANxcfHO7qEMrFavVezWu2OfvYNQQYAcE2nMyRXF+mJJ55wdCm3PKu+145+9g1BBgBwTWk5UqGRpZ7HIkmrf5XeWOPoKsrGiu+1Mzz7hiADALghqz2PJf6Moyv4/az2XjuaJQb7RkdHq06dOvL29lZ4eLh++uknR5cEAACcgNMHmS+++EJjx47VxIkT9fPPP6tly5aKiorSmTMWjtsAAOCmcPogM336dA0fPlxDhgzRnXfeqQ8//FA+Pj6aN2+eo0sDAAAO5tRjZPLy8hQbG6vx48fblrm6uioyMlI7duwo1j43N1e5ubm2+fT0dElSRkbGTa/t4sWLkqTYk9LF3Bs0dhJF14ypuXxRc8Wg5ophxZola9ZtxZoTUq/89+LFizf1u7ZoX8aYGzc2TuzkyZNGktm+fbvd8nHjxpn27dsXaz9x4kQjiYmJiYmJiekWmI4fP37DrODUZ2TKavz48Ro7dqxtvrCwUOfPn1dgYKBcXFwcWNl/JyMjQ7Vq1dLx48fl5+fn6HLKDf28tdDPWwv9vLU4ez+NMcrMzFRoaOgN2zp1kKlevbrc3NyUkpJitzwlJUUhISHF2nt5ecnLy8tuWUBAQHmWWKH8/Pyc8i/czUY/by3089ZCP28tztxPf3//UrVz6sG+np6eatu2rdavX29bVlhYqPXr1ysiIsKBlQEAAGfg1GdkJGns2LEaNGiQ2rVrp/bt2+u9995TVlaWhgwZ4ujSAACAgzl9kOnbt6/Onj2rCRMmKDk5Wa1atdKaNWsUHBzs6NIqjJeXlyZOnFjsstmthn7eWujnrYV+3lpupX66GFOae5sAAACcj1OPkQEAALgeggwAALAsggwAALAsggwAALAsgkwFmDx5su666y5VqVJFQUFBevjhh5WQkGDX5v7775eLi4vd9PTTT9u1SUpKUs+ePeXj46OgoCCNGzdOBQUFdm02bdqkNm3ayMvLSw0aNNCCBQvKu3s2b775ZrE+NG7c2LY+JydHo0aNUmBgoCpXrqw+ffoUe9ihs/dRkurUqVOsny4uLho1apQk6x7LLVu26MEHH1RoaKhcXFy0fPlyu/XGGE2YMEE1atRQpUqVFBkZqUOHDtm1OX/+vAYMGCA/Pz8FBARo6NChtt8lK/LLL7/ovvvuk7e3t2rVqqVp06YVq2XZsmVq3LixvL291bx5c61evbpC+pmfn6+XX35ZzZs3l6+vr0JDQzVw4ECdOnXKbh8l/R2YMmWKZfopSYMHDy7Wh27dutm1sfrxlFTiv1UXFxe98847tjZWOJ6l+R6pyM/Y6Oho1alTR97e3goPD9dPP/100/paZjflR5FwXVFRUWb+/PnmwIEDZu/evaZHjx4mLCzMXLx40damU6dOZvjw4eb06dO2KT093ba+oKDANGvWzERGRpo9e/aY1atXm+rVq5vx48fb2vz222/Gx8fHjB071sTFxZmZM2caNzc3s2bNmgrp58SJE03Tpk3t+nD27Fnb+qefftrUqlXLrF+/3uzevdt06NDB3H333ZbqozHGnDlzxq6Pa9euNZLMxo0bjTHWPZarV682r732mvn666+NJPPNN9/YrZ8yZYrx9/c3y5cvN/v27TMPPfSQqVu3rrl06ZKtTbdu3UzLli3Nzp07zdatW02DBg3M448/blufnp5ugoODzYABA8yBAwfM4sWLTaVKlcxHH31ka7Nt2zbj5uZmpk2bZuLi4szrr79uPDw8zP79+8u9n2lpaSYyMtJ88cUX5tdffzU7duww7du3N23btrXbR+3atc2kSZPsjvHV/56dvZ/GGDNo0CDTrVs3uz6cP3/ero3Vj6cxxq5/p0+fNvPmzTMuLi7myJEjtjZWOJ6l+R6pqM/YJUuWGE9PTzNv3jxz8OBBM3z4cBMQEGBSUlJuSl/LiiDjAGfOnDGSzObNm23LOnXqZJ5//vlrbrN69Wrj6upqkpOTbctmz55t/Pz8TG5urjHGmJdeesk0bdrUbru+ffuaqKiom9uBa5g4caJp2bJlievS0tKMh4eHWbZsmW1ZfHy8kWR27NhhjLFGH0vy/PPPm/r165vCwkJjzK1xLP/zC6GwsNCEhISYd955x7YsLS3NeHl5mcWLFxtjjImLizOSzK5du2xtvvvuO+Pi4mJOnjxpjDFm1qxZpmrVqrZ+GmPMyy+/bBo1amSbf+yxx0zPnj3t6gkPDzcjRoy4qX00png/S/LTTz8ZSebYsWO2ZbVr1zYzZsy45jZW6OegQYNMr169rrnNrXo8e/XqZR544AG7ZVY7nsYU/x6pyM/Y9u3bm1GjRtnmL1++bEJDQ83kyZNvfkdLgUtLDpCeni5Jqlatmt3yzz//XNWrV1ezZs00fvx4ZWdn29bt2LFDzZs3t3sQYFRUlDIyMnTw4EFbm8jISLt9RkVFaceOHeXVlWIOHTqk0NBQ1atXTwMGDFBSUpIkKTY2Vvn5+Xb1NW7cWGFhYbb6rNLHq+Xl5WnhwoX6f//v/9n9MOmtcCyvlpiYqOTkZLua/P39FR4ebnf8AgIC1K5dO1ubyMhIubq6KiYmxtamY8eO8vT0tLWJiopSQkKCLly4YGvjTH1PT0+Xi4tLsd9tmzJligIDA9W6dWu98847dqfnrdLPTZs2KSgoSI0aNdIzzzyjc+fO2dbdisczJSVFq1at0tChQ4uts9rx/M/vkYr6jM3Ly1NsbKxdG1dXV0VGRjrs36jTP9n3VlNYWKgxY8bonnvuUbNmzWzL+/fvr9q1ays0NFS//PKLXn75ZSUkJOjrr7+WJCUnJxd7mnHRfHJy8nXbZGRk6NKlS6pUqVJ5dk3h4eFasGCBGjVqpNOnT+utt97SfffdpwMHDig5OVmenp7FvgyCg4NvWH/Ruuu1qag+/qfly5crLS1NgwcPti27FY7lfyqqq6Sarq45KCjIbr27u7uqVatm16Zu3brF9lG0rmrVqtfse9E+KlJOTo5efvllPf7443Y/rPfcc8+pTZs2qlatmrZv367x48fr9OnTmj59uiRr9LNbt27q3bu36tatqyNHjujVV19V9+7dtWPHDrm5ud2Sx/PTTz9VlSpV1Lt3b7vlVjueJX2PVNRn7IULF3T58uUS2/z66683rY9lQZCpYKNGjdKBAwf0448/2i1/6qmnbH9u3ry5atSooc6dO+vIkSOqX79+RZf5u3Tv3t325xYtWig8PFy1a9fW0qVLK/yLt6LMnTtX3bt3t/up+VvhWOLKwN/HHntMxhjNnj3bbt3YsWNtf27RooU8PT01YsQITZ482TKPfO/Xr5/tz82bN1eLFi1Uv359bdq0SZ07d3ZgZeVn3rx5GjBggLy9ve2WW+14Xut75H8Vl5Yq0OjRo/Xtt99q48aNqlmz5nXbhoeHS5IOHz4sSQoJCSk2+rxoPiQk5Lpt/Pz8HBIkAgICdMcdd+jw4cMKCQlRXl6e0tLSitV3o/qL1l2vjSP6eOzYMa1bt07Dhg27brtb4VgW1VVSTVfXfObMGbv1BQUFOn/+/E05xkXrK0JRiDl27JjWrl1rdzamJOHh4SooKNDRo0clWaefV6tXr56qV69u9/f0VjmekrR161YlJCTc8N+r5NzH81rfIxX1GVu9enW5ubk5xTEtQpCpAMYYjR49Wt988402bNhQ7BRlSfbu3StJqlGjhiQpIiJC+/fvt/tgKfqAvfPOO21t1q9fb7eftWvXKiIi4ib1pGwuXryoI0eOqEaNGmrbtq08PDzs6ktISFBSUpKtPqv1cf78+QoKClLPnj2v2+5WOJZ169ZVSEiIXU0ZGRmKiYmxO35paWmKjY21tdmwYYMKCwttYS4iIkJbtmxRfn6+rc3atWvVqFEjVa1a1dbGkX0vCjGHDh3SunXrFBgYeMNt9u7dK1dXV9ulGCv08z+dOHFC586ds/t7eisczyJz585V27Zt1bJlyxu2dcbjeaPvkYr6jPX09FTbtm3t2hQWFmr9+vUO+7vLXUsV4JlnnjH+/v5m06ZNdrf3ZWdnG2OMOXz4sJk0aZLZvXu3SUxMNCtWrDD16tUzHTt2tO2j6La5rl27mr1795o1a9aY2267rcTb5saNG2fi4+NNdHR0hd6a/OKLL5pNmzaZxMREs23bNhMZGWmqV69uzpw5Y4y5cmtgWFiY2bBhg9m9e7eJiIgwERERlupjkcuXL5uwsDDz8ssv2y238rHMzMw0e/bsMXv27DGSzPTp082ePXtsd+tMmTLFBAQEmBUrVphffvnF9OrVq8Tbr1u3bm1iYmLMjz/+aBo2bGh3u25aWpoJDg42Tz75pDlw4IBZsmSJ8fHxKXYbq7u7u/n73/9u4uPjzcSJE2/qbazX62deXp556KGHTM2aNc3evXvt/r0W3dWxfft2M2PGDLN3715z5MgRs3DhQnPbbbeZgQMHWqafmZmZ5s9//rPZsWOHSUxMNOvWrTNt2rQxDRs2NDk5ObZ9WP14FklPTzc+Pj5m9uzZxba3yvG80feIMRX3GbtkyRLj5eVlFixYYOLi4sxTTz1lAgIC7O6GqkgEmQogqcRp/vz5xhhjkpKSTMeOHU21atWMl5eXadCggRk3bpzds0eMMebo0aOme/fuplKlSqZ69ermxRdfNPn5+XZtNm7caFq1amU8PT1NvXr1bK9REfr27Wtq1KhhPD09ze2332769u1rDh8+bFt/6dIlM3LkSFO1alXj4+NjHnnkEXP69Gm7fTh7H4t8//33RpJJSEiwW27lY7lx48YS/54OGjTIGHPlFuw33njDBAcHGy8vL9O5c+di/T937px5/PHHTeXKlY2fn58ZMmSIyczMtGuzb98+c++99xovLy9z++23mylTphSrZenSpeaOO+4wnp6epmnTpmbVqlUV0s/ExMRr/nstek5QbGysCQ8PN/7+/sbb29s0adLEvP3223YBwNn7mZ2dbbp27Wpuu+024+HhYWrXrm2GDx9e7IvI6sezyEcffWQqVapk0tLSim1vleN5o+8RYyr2M3bmzJkmLCzMeHp6mvbt25udO3fetL6WlYsxxpTTyR4AAIByxRgZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZAABgWQQZABUuLS1NgwYNUl5eniQpOztbhYWFFVoDj9ACbg0EGQAVLiAgQHl5eXr77bd16dIlRUREqEOHDnZTWFiYxo8fL0nauHGjpk6dWuK+PDw8lJmZWeK6xYsXa/ny5Zo/f7769u2rn3/+WcOHD1dhYaGmTJmiIUOGlFsfAVQMd0cXAOB/04wZM5Seni43Nzft27dP0pUzMz4+PpKkKVOm6NKlS5KkWrVqqUePHnrooYd09OhRjRw5Uj4+PnJ3d1dhYaHuvfdeFRYWKicnR0888YQmTpwoSbrvvvv01Vdf6bbbbpO3t7f27NmjRx99VK6uroqNjVVERITt154LCwt1xx13OOCdAPDfIMgAqFB79+7VokWLNG3aNIWEhKhDhw76/PPPVbt2bd15551avny5WrVqJUlycXGRJDVo0EBz585V9erV1aRJEyUmJtr2V7lyZcXExMjb29vudU6ePKmmTZvK19dX6enpcnFx0YYNG5Sdna2vvvpKmzdvliRt3bpV3333nfr166dPP/20Yt4EADcNQQZAhUpLS9O2bdts888995z279+vffv2qVu3brYQU6SgoECFhYXq37+/JGnRokV655135OHhIVdXV126dEmdOnWyhZ4nn3xSo0aN0u2336709HS99dZbmjNnjjp37qyaNWtq2LBhio2NVevWrfXll1/q3LlzatOmDSEGsCiCDIAK5eXlJQ8PD0nS008/rW3btsnLy0uZmZny8PBQz549tWrVKlv7tWvXaujQoXJ1ddWJEyfUo0cPRUREaPny5erVq5fc3Nzk5eUlSbr77rttl4fOnz+v0aNHa//+/frzn/+snTt3KiAgQM8++6zS09NVqVIlSVeC1W233VbB7wKAm4XBvgAqVNGZE+nKmJiZM2dq9+7dSkhI0LfffquLFy/ate/evbu2b98uT09PSVcGCteoUUMHDx7UY489ppUrV2r48OEKDAzUqFGj1KlTJ0mSv7+/atSooa1btyo0NFTvvPOORo4cqZEjRyotLU05OTnKz8/XqVOnFBISUnFvAICbiiADwGHy8vI0YsQItWvXTu3atdNDDz1kuyX7P7m6Xvm4MsbowQcfVFBQkFasWCFjjGrUqCEPDw+9+OKLtsBTUFCgqVOnKisrS0OGDFHlypXl6+urHj16aN++fWrWrJk2btyouLg4NWzYsML6DODmIsgAcJglS5Zo6NCh6t+/v5o1a6a3335bO3bsuO42Li4uWrRokXx9fVWjRg0lJSUpLCysWLs33nhDderUUZMmTeTl5aXWrVvLx8dHc+fOlaurqyIjI7VkyRLFxMSodevW5dVFAOWMIAPAof7973+rdu3atvnU1NRrnpX56quv9Morr6ht27ZavHix2rRpo48++khz5sxRq1at1KhRI911112SpGnTpunYsWOqVauWtm/frsOHDysoKEg9e/aUJEVFRenbb7/VDz/8oG7dupV/RwGUCwb7AqhQVz9R9/z589q6davef/99rVq1SocPH9ayZctUu3Zt+fj42I2nSUpK0qRJk7Rnzx5NmTJFkrRu3Tr1799f27ZtU05Ojho0aGD3WomJiapXr54effRRVa9eXdWqVbNdevL19VXz5s2Vn5+voKCgCug5gPLAGRkAFarobMvBgwfVvn17jRkzRr6+vurXr59iYmLk4+Oje+65R1u3bpW/v7+kK4HFx8dHX3/9tVxdXXXs2DFNmDBBAwcO1NKlS7Vz5061bt1a48aNsxss3KBBAy1btkx//OMflZqaqmrVqikyMlLZ2dkaMWKELly4oMTERL333nuOeCsA3ASckQFQoYqCTJMmTfTZZ58pIiJCktS1a1d17dpVktSyZUsFBQWpd+/etvmFCxeqbt266tWrl9auXav+/ftr3759tlunmzZtqkcffVRZWVmaNWuWfv31V82ZM0dff/21evTooe3bt6tKlSp677331KBBA7Vr106bN29WQkKCunTpom3btumLL76wDSoGYA0uhl9OA2Ahx44dk7+/vwICAoqty8rKkqurqypVqqTDhw/r008/1bBhw+zG4GzatEkpKSnq27evbdmhQ4eUmZmpNm3aVEQXANxEBBkAAGBZnEMFAACWRZABAACWRZABAACWRZABAACWRZABAACWRZABAACWRZABAACWRZABAACWRZABAACW9f8BOENoV2zpLaIAAAAASUVORK5CYII=",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "readership_data = df[\"readers_count\"]\n",
        "plt.hist(readership_data, bins=10, color='darkorange', edgecolor='k')\n",
        "\n",
        "plt.xlabel(\"阅读数\", fontproperties=zhfont)\n",
        "plt.ylabel(\"文章数\", fontproperties=zhfont)\n",
        "plt.title(\"文章阅读数分布的直方图\", fontproperties=zhfont)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BNRUmmu7BY6x"
      },
      "source": [
        "## 四）统计阅读数 top 10 的文章"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 955
        },
        "id": "hJNHdpkfBY6x",
        "outputId": "573ad296-d8fe-4da7-f8e5-ea32d04b5e89"
      },
      "outputs": [
        {
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>title</th>\n",
              "      <th>owner</th>\n",
              "      <th>readers_count</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>123</th>\n",
              "      <td>0代码基础小白使用ChatGPT做出一款谷歌全屏截图插件的全过程</td>\n",
              "      <td>阿强</td>\n",
              "      <td>20783</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_grll0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>121</th>\n",
              "      <td>如何利用 ChatGPT 辅助写作</td>\n",
              "      <td>闫小林</td>\n",
              "      <td>18195</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_9xwa8...</td>\n",
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              "    <tr>\n",
              "      <th>158</th>\n",
              "      <td>第三课-常用的AI应用（100款）</td>\n",
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              "      <td>https://articles.zsxq.com/inline_form/id_g7vpi...</td>\n",
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              "      <td>如何用ChatGPT， 每天自动批量产出100+条爆款短视频</td>\n",
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              "      <td>15976</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_e74ag...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>144</th>\n",
              "      <td>阿里通义千问试玩~</td>\n",
              "      <td>鱼皮</td>\n",
              "      <td>14805</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_1orqj...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>133</th>\n",
              "      <td>使用AI，做抖音漫画短视频，4个人2天的工作量，1人仅需5小时即可完成！</td>\n",
              "      <td>蛋解创业蛋蛋</td>\n",
              "      <td>14583</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_4kdt0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>分享一下我是如何用AI助手来提升工作效率的</td>\n",
              "      <td>王强@ZelinAI</td>\n",
              "      <td>14239</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_zwopk...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>152</th>\n",
              "      <td>前端大佬强推！！！用ChatGPT提升代码质量</td>\n",
              "      <td>小潘</td>\n",
              "      <td>14029</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_b1556...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>124</th>\n",
              "      <td>我做的AI律所：不仅律师自发传播，竟然还吸引了大佬王小川？</td>\n",
              "      <td>台风-2号</td>\n",
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              "      <td>https://articles.zsxq.com/inline_form/id_oug13...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>新手入门必看课程</td>\n",
              "      <td>小潘</td>\n",
              "      <td>13946</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_zr061...</td>\n",
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              "\n",
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            ],
            "text/plain": [
              "                                    title       owner  readers_count  \\\n",
              "123      0代码基础小白使用ChatGPT做出一款谷歌全屏截图插件的全过程          阿强          20783   \n",
              "121                     如何利用 ChatGPT 辅助写作         闫小林          18195   \n",
              "158                     第三课-常用的AI应用（100款）  王强@ZelinAI          17508   \n",
              "122        如何用ChatGPT， 每天自动批量产出100+条爆款短视频        🍀刘驴💥          15976   \n",
              "144                             阿里通义千问试玩~          鱼皮          14805   \n",
              "133  使用AI，做抖音漫画短视频，4个人2天的工作量，1人仅需5小时即可完成！      蛋解创业蛋蛋          14583   \n",
              "147                 分享一下我是如何用AI助手来提升工作效率的  王强@ZelinAI          14239   \n",
              "152               前端大佬强推！！！用ChatGPT提升代码质量          小潘          14029   \n",
              "124         我做的AI律所：不仅律师自发传播，竟然还吸引了大佬王小川？       台风-2号          13979   \n",
              "155                              新手入门必看课程          小潘          13946   \n",
              "\n",
              "                                           article_url  \n",
              "123  https://articles.zsxq.com/inline_form/id_grll0...  \n",
              "121  https://articles.zsxq.com/inline_form/id_9xwa8...  \n",
              "158  https://articles.zsxq.com/inline_form/id_g7vpi...  \n",
              "122  https://articles.zsxq.com/inline_form/id_e74ag...  \n",
              "144  https://articles.zsxq.com/inline_form/id_1orqj...  \n",
              "133  https://articles.zsxq.com/inline_form/id_4kdt0...  \n",
              "147  https://articles.zsxq.com/inline_form/id_zwopk...  \n",
              "152  https://articles.zsxq.com/inline_form/id_b1556...  \n",
              "124  https://articles.zsxq.com/inline_form/id_oug13...  \n",
              "155  https://articles.zsxq.com/inline_form/id_zr061...  "
            ]
          },
          "execution_count": 39,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_sorted = df.sort_values(by=\"readers_count\", ascending=False)\n",
        "top_10 = df_sorted.head(10)\n",
        "top_10[['title', 'owner', 'readers_count', 'article_url']]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2VcBP6C9BY6x"
      },
      "source": [
        "# 九、点赞数分析"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LJ9YBnv1BY6x"
      },
      "source": [
        "## 二）计算不同分位数下的文章点赞数，绘制箱线图"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 558
        },
        "id": "eUl_QNHmBY6y",
        "outputId": "cdde9644-cba8-4836-fb56-ab986fbf3108"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "50 分位数：137.0\n",
            "75 分位数：202.5\n",
            "90 分位数：280.40000000000003\n",
            "95 分位数：314.2\n",
            "100 分位数：524.0\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "\n",
        "readership_data = df[\"likes_count\"]\n",
        "# 创建箱线图\n",
        "# 计算不同分位数\n",
        "percentiles = [50, 75, 90, 95, 100]\n",
        "percentile_values = np.percentile(readership_data, percentiles)\n",
        "\n",
        "# 打印分位数的值\n",
        "for p, value in zip(percentiles, percentile_values):\n",
        "    print(f\"{p} 分位数：{value}\")\n",
        "\n",
        "# 绘制箱线图\n",
        "plt.boxplot(readership_data, vert=False)\n",
        "\n",
        "# 添加不同颜色的分位数标识\n",
        "colors = ['green', 'blue', 'orange', 'purple', 'red']\n",
        "for p, value, color in zip(percentiles, percentile_values, colors):\n",
        "    plt.scatter(value, 1, color=color, marker='o', label=f\"{p}\")\n",
        "\n",
        "# 设置标签和标题\n",
        "plt.xlabel(\"点赞数\", fontproperties=zhfont)\n",
        "plt.title(\"不同分位数的点赞数分布\", fontproperties=zhfont)\n",
        "\n",
        "# 添加图例\n",
        "plt.legend()\n",
        "\n",
        "# 显示图表\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jJfELOxuBY6y"
      },
      "source": [
        "## 三）统计不同点赞数区间的文章数，绘制直方图"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "id": "QimmHEAXBY6y",
        "outputId": "b5138e54-c453-44d4-ba43-51d6c795db0a"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "readership_data = df[\"likes_count\"]\n",
        "plt.hist(readership_data, bins=10, color='darkorange', edgecolor='k')\n",
        "\n",
        "plt.xlabel(\"点赞数\", fontproperties=zhfont)\n",
        "plt.ylabel(\"文章数\", fontproperties=zhfont)\n",
        "plt.title(\"文章点赞数分布的直方图\", fontproperties=zhfont)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j38GmlGoBY6y"
      },
      "source": [
        "## 四）统计点赞数 top 10 的文章"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 938
        },
        "id": "nYwIqowMBY6y",
        "outputId": "bd5f8162-fcc3-4633-d89d-2bf29b4b88e6"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-61cdff27-5acb-46e1-bee6-d98937acc307\" class=\"colab-df-container\">\n",
              "    <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>title</th>\n",
              "      <th>owner</th>\n",
              "      <th>likes_count</th>\n",
              "      <th>article_url</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>121</th>\n",
              "      <td>如何利用 ChatGPT 辅助写作</td>\n",
              "      <td>闫小林</td>\n",
              "      <td>524</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_9xwa8...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>123</th>\n",
              "      <td>0代码基础小白使用ChatGPT做出一款谷歌全屏截图插件的全过程</td>\n",
              "      <td>阿强</td>\n",
              "      <td>433</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_grll0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122</th>\n",
              "      <td>如何用ChatGPT， 每天自动批量产出100+条爆款短视频</td>\n",
              "      <td>🍀刘驴💥</td>\n",
              "      <td>417</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_e74ag...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>124</th>\n",
              "      <td>我做的AI律所：不仅律师自发传播，竟然还吸引了大佬王小川？</td>\n",
              "      <td>台风-2号</td>\n",
              "      <td>416</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_oug13...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>134</th>\n",
              "      <td>4个公式8个案例学会与chatGPT对话</td>\n",
              "      <td>星球助理-matao</td>\n",
              "      <td>368</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_jlxv2...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>118</th>\n",
              "      <td>给送每一个AI创业者的避坑指南</td>\n",
              "      <td>叫我峰兄</td>\n",
              "      <td>349</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_02dga...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>130</th>\n",
              "      <td>Midjourney入门必看课程</td>\n",
              "      <td>小潘</td>\n",
              "      <td>317</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_sh42v...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>111</th>\n",
              "      <td>分享一个ChatGPT提示词技巧</td>\n",
              "      <td>阿铭</td>\n",
              "      <td>316</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_f6itk...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>一只￥4000的prompt订单：有需求就有价值</td>\n",
              "      <td>小七姐</td>\n",
              "      <td>314</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_92w3e...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>103</th>\n",
              "      <td>零基础自建Stable Difussion绘图(1)</td>\n",
              "      <td>小潘</td>\n",
              "      <td>312</td>\n",
              "      <td>https://articles.zsxq.com/inline_form/id_hctce...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-61cdff27-5acb-46e1-bee6-d98937acc307')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-61cdff27-5acb-46e1-bee6-d98937acc307 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-61cdff27-5acb-46e1-bee6-d98937acc307');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-5d0c708e-daff-43e1-8a14-7294ae463aef\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-5d0c708e-daff-43e1-8a14-7294ae463aef')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-5d0c708e-daff-43e1-8a14-7294ae463aef button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                                title       owner  likes_count  \\\n",
              "121                 如何利用 ChatGPT 辅助写作         闫小林          524   \n",
              "123  0代码基础小白使用ChatGPT做出一款谷歌全屏截图插件的全过程          阿强          433   \n",
              "122    如何用ChatGPT， 每天自动批量产出100+条爆款短视频        🍀刘驴💥          417   \n",
              "124     我做的AI律所：不仅律师自发传播，竟然还吸引了大佬王小川？       台风-2号          416   \n",
              "134              4个公式8个案例学会与chatGPT对话  星球助理-matao          368   \n",
              "118                   给送每一个AI创业者的避坑指南        叫我峰兄          349   \n",
              "130                  Midjourney入门必看课程          小潘          317   \n",
              "111                  分享一个ChatGPT提示词技巧          阿铭          316   \n",
              "86           一只￥4000的prompt订单：有需求就有价值         小七姐          314   \n",
              "103        零基础自建Stable Difussion绘图(1)          小潘          312   \n",
              "\n",
              "                                           article_url  \n",
              "121  https://articles.zsxq.com/inline_form/id_9xwa8...  \n",
              "123  https://articles.zsxq.com/inline_form/id_grll0...  \n",
              "122  https://articles.zsxq.com/inline_form/id_e74ag...  \n",
              "124  https://articles.zsxq.com/inline_form/id_oug13...  \n",
              "134  https://articles.zsxq.com/inline_form/id_jlxv2...  \n",
              "118  https://articles.zsxq.com/inline_form/id_02dga...  \n",
              "130  https://articles.zsxq.com/inline_form/id_sh42v...  \n",
              "111  https://articles.zsxq.com/inline_form/id_f6itk...  \n",
              "86   https://articles.zsxq.com/inline_form/id_92w3e...  \n",
              "103  https://articles.zsxq.com/inline_form/id_hctce...  "
            ]
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_sorted = df.sort_values(by=\"likes_count\", ascending=False)\n",
        "top_10 = df_sorted.head(10)\n",
        "top_10[['title', 'owner', 'likes_count', 'article_url']]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-utt09e4BY6y"
      },
      "source": [
        "# 十、关键词拆解"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "J0_iJQbG__ZH"
      },
      "source": [
        "## 一）Python 词云分析拆解"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 349
        },
        "id": "ETJI_08VBY6y",
        "outputId": "9fb93758-a9af-45ff-cd79-60433beb0d63"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import jieba\n",
        "from collections import Counter\n",
        "from wordcloud import WordCloud\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# 准备文本数据\n",
        "words = []\n",
        "for index, row in df.iterrows():\n",
        "    title = row.title[:24]\n",
        "    keywords = jieba.cut(title)\n",
        "    # print(title, \" \".join(keywords))\n",
        "    for item in keywords:\n",
        "        words.append(item)\n",
        "# 使用Counter统计元素出现的次数\n",
        "element_counts = Counter(words)\n",
        "\n",
        "# 提取出现次数为2次或更多的元素\n",
        "result = [element for element, count in element_counts.items() if count >= 2]\n",
        "text = \" \".join(result)\n",
        "\n",
        "# todo 修改中文字体文件路径，创建词云对象并生成词云图像\n",
        "font_path = \"/usr/share/fonts/truetype/liberation/simhei.ttf\"\n",
        "wordcloud = WordCloud(width=800, height=400, background_color='white', font_path=font_path).generate(text)\n",
        "\n",
        "# 显示词云图像\n",
        "plt.figure(figsize=(10, 5))\n",
        "plt.imshow(wordcloud, interpolation='bilinear')\n",
        "plt.axis('off')  # 隐藏坐标轴\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CdO4oPrlEFgy"
      },
      "source": [
        "## 二）ChatGPT 拆解"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1L0ns2cREfr4"
      },
      "source": [
        "\n",
        "\n",
        "```\n",
        "SYSTERM\n",
        "请从我给你的一段标题中提取关键词输出\n",
        "USER\n",
        "CodeGeex 编程大模型应用复盘\n",
        "```\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NMiwFDJFE7VX"
      },
      "source": [
        "\n",
        "\n",
        "```\n",
        "SYSTERM\n",
        "请从我给你的一段标题中提取关键词输出\n",
        "USER\n",
        "为啥我打算，重新做一家一人企业？\n",
        "```\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dd1V9Zu5AFe8"
      },
      "source": [
        "## 三）Python 调用 OpenAI 拆解"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4Yn58u66zkox"
      },
      "source": [
        "api_key 参数需要自己设置"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zkNxYcVDDkuJ",
        "outputId": "7778433b-df89-4dfa-ee01-eae16bfb2eb5"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "CodeGeex, 编程, 大模型, 应用, 复盘\n"
          ]
        }
      ],
      "source": [
        "from openai import OpenAI\n",
        "\n",
        "client = OpenAI(\n",
        "    api_key=\"\",\n",
        ")\n",
        "completion = client.chat.completions.create(\n",
        "  model=\"gpt-3.5-turbo\",\n",
        "  messages=[\n",
        "    {\"role\": \"system\", \"content\": \"请从我给你的一段标题中提取关键词输出\"},\n",
        "    {\"role\": \"user\", \"content\": \"CodeGeex 编程大模型应用复盘\"},\n",
        "  ]\n",
        ")\n",
        "\n",
        "print(completion.choices[0].message.content)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BpX9d5dX_g-V"
      },
      "source": [
        "# 十一、内容拆解"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mD3msBMf_nFc"
      },
      "source": [
        "## 一）ChatGPT 拆解"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LuiptnQjFdsq"
      },
      "source": [
        "\n",
        "\n",
        "```\n",
        "SYSTERM\n",
        "请总结这篇文章的内容\n",
        "USER\n",
        "<内容>\n",
        "```\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "prMgzPOg_xYl"
      },
      "source": [
        "## 二）Python 调用 OpenAI 拆解"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pTbt93MZzpA7"
      },
      "source": [
        "api_key 参数需要自己设置"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1ZxXrQYwF4Vy",
        "outputId": "e6e14d8f-fad3-4d30-efe0-c0ee47bfb2bf"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "CodeGeeX是一款由清华大学知识工程实验室开发的智能编程助手。它支持多种编程语言，如Python、Java、C++等，并兼容多种IDE，如VSCode和JetBrains系列。该助手基于一个拥有130亿参数的预训练模型，具备代码生成、注释添加、代码翻译和智能问答等功能。\n",
            "\n",
            "在代码生成和翻译任务方面，CodeGeeX表现出色，超越其他开源模型。它还提供了自定义代码生成风格的功能，可以根据用户的需求进行个性化设置。该助手的插件已经免费上架于VSCode市场。\n",
            "\n",
            "CodeGeeX还支持昇腾和英伟达平台，用户可以根据自己的硬件平台选择合适的版本。它的代码和模型权重已经开源，用户可以自由使用和修改。\n",
            "\n",
            "根据调研显示，83.4%的用户认为CodeGeeX有助于提高编程效率。这款智能编程助手为开发者提供了强大的功能和灵活的配置选项，有助于简化编程过程，并提高工作效率。\n"
          ]
        }
      ],
      "source": [
        "from openai import OpenAI\n",
        "client = OpenAI(\n",
        "    api_key=\"\",\n",
        ")\n",
        "completion = client.chat.completions.create(\n",
        "  model=\"gpt-3.5-turbo\",\n",
        "  messages=[\n",
        "    {\"role\": \"system\", \"content\": \"请总结这篇文章的内容\"},\n",
        "    {\"role\": \"user\", \"content\": \"CodeGeeX，由清华大学知识工程实验室开发的智能编程助手，支持多种编程语言如Python、Java、C++等，并兼容多种IDE，例如VSCode和JetBrains系列。它基于一个130亿参数的预训练模型，具有代码生成、注释添加、代码翻译和智能问答等功能。CodeGeeX在代码生成和翻译任务上表现优异，超越其他开源模型。它的插件现已免费上架于VSCode市场，提供自定义代码生成风格。此外，CodeGeeX支持昇腾和英伟达平台，其代码和模型权重已开源。调研显示83.4%的用户认为CodeGeeX有助于提高编程效率\"},\n",
        "  ]\n",
        ")\n",
        "print(completion.choices[0].message.content)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "toc_visible": true
    },
    "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": "3.11.4"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}