{"id":985818,"date":"2024-12-27T07:39:52","date_gmt":"2024-12-26T23:39:52","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/985818.html"},"modified":"2024-12-27T07:39:54","modified_gmt":"2024-12-26T23:39:54","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e8%b0%83%e7%94%a8bi","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/985818.html","title":{"rendered":"\u5982\u4f55\u7528python\u8c03\u7528BI"},"content":{"rendered":"

\"\u5982\u4f55\u7528python\u8c03\u7528BI\"<\/p>\n

\u5728Python\u4e2d\u8c03\u7528BI\uff08\u5546\u4e1a\u667a\u80fd\uff09\u5de5\u5177\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528API\u3001\u96c6\u6210BI\u5e93\u3001\u6570\u636e\u8f6c\u6362\u548c\u53ef\u89c6\u5316\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528API\u662f\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\uff0c\u56e0\u4e3a\u5927\u591a\u6570\u73b0\u4ee3BI\u5de5\u5177\u90fd\u63d0\u4f9bAPI\u63a5\u53e3\uff0c\u5141\u8bb8\u5f00\u53d1\u8005\u4ee5\u7f16\u7a0b\u65b9\u5f0f\u8bbf\u95ee\u5176\u529f\u80fd\u3002\u901a\u8fc7API\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u4eceBI\u5de5\u5177\u4e2d\u63d0\u53d6\u6570\u636e\u3001\u6267\u884c\u5206\u6790\u4efb\u52a1\u6216\u521b\u5efa\u81ea\u5b9a\u4e49\u62a5\u544a\u3002\u6b64\u5916\uff0cPython\u4e2d\u8fd8\u6709\u8bb8\u591a\u5e93\u548c\u6846\u67b6\u53ef\u4ee5\u5e2e\u52a9\u5b9e\u73b0\u4e0eBI\u5de5\u5177\u7684\u96c6\u6210\uff0c\u5982pandas\u3001matplotlib\u3001seaborn\u7b49\uff0c\u5b83\u4eec\u53ef\u4ee5\u5e2e\u52a9\u5bf9\u6570\u636e\u8fdb\u884c\u6e05\u6d17\u3001\u5206\u6790\u548c\u53ef\u89c6\u5316\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8\u8fd9\u4e9b\u65b9\u6cd5\u53ca\u5176\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u4f7f\u7528\u3002<\/p>\n<\/p>\n

\u4e00\u3001API\u96c6\u6210<\/p>\n<\/p>\n

BI\u5de5\u5177\u901a\u5e38\u63d0\u4f9bRESTful API\u63a5\u53e3\uff0c\u5141\u8bb8\u5f00\u53d1\u8005\u901a\u8fc7HTTP\u8bf7\u6c42\u8bbf\u95ee\u5176\u6570\u636e\u548c\u529f\u80fd\u3002\u901a\u8fc7Python\u4e2d\u7684requests<\/code>\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u4e0e\u8fd9\u4e9bAPI\u8fdb\u884c\u4ea4\u4e92\u3002<\/p>\n<\/p>\n

    \n
  1. \n

    \u4f7f\u7528API\u8fdb\u884c\u6570\u636e\u63d0\u53d6<\/strong><\/p>\n<\/p>\n

    RESTful API\u901a\u5e38\u5141\u8bb8\u901a\u8fc7GET\u8bf7\u6c42\u6765\u63d0\u53d6\u6570\u636e\u3002\u5728\u4f7f\u7528\u524d\uff0c\u9700\u8981\u5148\u5728BI\u5de5\u5177\u4e2d\u83b7\u53d6API\u5bc6\u94a5\u6216\u8bbf\u95ee\u4ee4\u724c\uff0c\u4ee5\u786e\u4fdd\u6570\u636e\u5b89\u5168\u3002\u901a\u8fc7API\u63a5\u53e3\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u63d0\u53d6\u7279\u5b9a\u62a5\u8868\u7684\u6570\u636e\uff0c\u5e76\u5c06\u5176\u5bfc\u5165Python\u8fdb\u884c\u8fdb\u4e00\u6b65\u5206\u6790\u3002<\/p>\n<\/p>\n

    import requests<\/p>\n
    \u793a\u4f8bAPI\u8bf7\u6c42<\/strong><\/h2>\n
    url = "https:\/\/api.biplatform.com\/report\/data"<\/p>\n
    headers = {"Authorization": "Bearer YOUR_API_TOKEN"}<\/p>\n
    response = requests.get(url, headers=headers)<\/p>\n
    if response.status_code == 200:<\/p>\n
        data = response.json()<\/p>\n
        # \u8fdb\u4e00\u6b65\u5904\u7406\u6570\u636e<\/p>\n
    else:<\/p>\n
        print("FAI<\/a>led to retrieve data:", response.status_code)<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  2. \n
    \u6267\u884c\u5206\u6790\u4efb\u52a1<\/strong><\/p>\n<\/p>\n
    \u9664\u4e86\u6570\u636e\u63d0\u53d6\uff0cBI\u5de5\u5177\u7684API\u8fd8\u53ef\u80fd\u63d0\u4f9b\u6267\u884c\u5206\u6790\u4efb\u52a1\u7684\u529f\u80fd\uff0c\u4f8b\u5982\u8fd0\u884c\u7279\u5b9a\u7684\u67e5\u8be2\u3001\u8fdb\u884c\u6570\u636e\u5efa\u6a21\u6216\u9884\u6d4b\u5206\u6790\u3002\u901a\u8fc7API\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u5728Python\u73af\u5883\u4e2d\u81ea\u52a8\u5316\u8fd9\u4e9b\u4efb\u52a1\u3002<\/p>\n<\/p>\n<\/li>\n
  3. \n
    \u521b\u5efa\u81ea\u5b9a\u4e49\u62a5\u544a<\/strong><\/p>\n<\/p>\n
    BI\u5de5\u5177\u7684API\u63a5\u53e3\u8fd8\u5141\u8bb8\u7528\u6237\u521b\u5efa\u548c\u7ba1\u7406\u81ea\u5b9a\u4e49\u62a5\u544a\u3002\u901a\u8fc7POST\u8bf7\u6c42\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u5c06\u5206\u6790\u7ed3\u679c\u4e0a\u4f20\u5230BI\u5de5\u5177\u4e2d\uff0c\u5e76\u751f\u6210\u53ef\u89c6\u5316\u62a5\u544a\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e8c\u3001\u96c6\u6210BI\u5e93<\/p>\n<\/p>\n
    Python\u62e5\u6709\u4e30\u5bcc\u7684\u7b2c\u4e09\u65b9\u5e93\u53ef\u4ee5\u4e0eBI\u5de5\u5177\u96c6\u6210\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u5b9e\u73b0\u6570\u636e\u7684\u6e05\u6d17\u3001\u5206\u6790\u548c\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n
      \n
    1. \n
      pandas\u5e93<\/strong><\/p>\n<\/p>\n
      pandas\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u53ef\u4ee5\u5e2e\u52a9\u5904\u7406\u5404\u79cd\u683c\u5f0f\u7684\u6570\u636e\u96c6\u3002\u901a\u8fc7pandas\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06BI\u5de5\u5177\u4e2d\u7684\u6570\u636e\u8f6c\u6362\u4e3aDataFrame\u683c\u5f0f\uff0c\u5e76\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u548c\u8f6c\u6362\u3002<\/p>\n<\/p>\n
      import pandas as pd<\/p>\n
      \u4eceJSON\u683c\u5f0f\u7684\u6570\u636e\u521b\u5efaDataFrame<\/strong><\/h2>\n
      df = pd.DataFrame(data)<\/p>\n
      \u6570\u636e\u6e05\u6d17\u548c\u8f6c\u6362<\/strong><\/h2>\n
      df.dropna(inplace=True)<\/p>\n
      df['column'] = df['column'].apply(lambda x: x.upper())<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    2. \n
      matplotlib\u548cseaborn\u5e93<\/strong><\/p>\n<\/p>\n
      \u8fd9\u4e24\u4e2a\u5e93\u4e3b\u8981\u7528\u4e8e\u6570\u636e\u7684\u53ef\u89c6\u5316\u3002\u901a\u8fc7\u4e0epandas\u7ed3\u5408\u4f7f\u7528\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\uff0c\u5982\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u6563\u70b9\u56fe\u7b49\uff0c\u4ee5\u4fbf\u66f4\u76f4\u89c2\u5730\u5c55\u793aBI\u5206\u6790\u7ed3\u679c\u3002<\/p>\n<\/p>\n
      import matplotlib.pyplot as plt<\/p>\n
      import seaborn as sns<\/p>\n
      \u521b\u5efa\u67f1\u72b6\u56fe<\/strong><\/h2>\n
      sns.barplot(x='category', y='value', data=df)<\/p>\n
      plt.show()<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001\u6570\u636e\u8f6c\u6362<\/p>\n<\/p>\n
      \u4e3a\u4e86\u66f4\u597d\u5730\u4e0eBI\u5de5\u5177\u96c6\u6210\uff0c\u6570\u636e\u7684\u8f6c\u6362\u548c\u5904\u7406\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u6b65\u9aa4\u3002Python\u63d0\u4f9b\u4e86\u591a\u79cd\u5de5\u5177\u548c\u65b9\u6cd5\u6765\u5b9e\u73b0\u6570\u636e\u7684\u8f6c\u6362\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        \u6570\u636e\u6e05\u6d17<\/strong><\/p>\n<\/p>\n
        \u6570\u636e\u6e05\u6d17\u662f\u6570\u636e\u5206\u6790\u4e2d\u6700\u91cd\u8981\u7684\u6b65\u9aa4\u4e4b\u4e00\u3002\u901a\u8fc7Python\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u8bc6\u522b\u5e76\u4fee\u590d\u6570\u636e\u4e2d\u7684\u9519\u8bef\u3001\u7f3a\u5931\u503c\u548c\u5f02\u5e38\u503c\uff0c\u786e\u4fdd\u6570\u636e\u7684\u51c6\u786e\u6027\u548c\u4e00\u81f4\u6027\u3002<\/p>\n<\/p>\n<\/li>\n
      2. \n
        \u6570\u636e\u8f6c\u6362<\/strong><\/p>\n<\/p>\n
        \u6570\u636e\u8f6c\u6362\u5305\u62ec\u6570\u636e\u683c\u5f0f\u7684\u8f6c\u6362\u3001\u6570\u636e\u7c7b\u578b\u7684\u8f6c\u6362\u548c\u6570\u636e\u7684\u6807\u51c6\u5316\u3002\u901a\u8fc7Python\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u6570\u636e\u4ece\u4e00\u79cd\u683c\u5f0f\u8f6c\u6362\u4e3a\u53e6\u4e00\u79cd\u683c\u5f0f\uff0c\u4ee5\u4fbf\u4e0eBI\u5de5\u5177\u517c\u5bb9\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001\u6570\u636e\u53ef\u89c6\u5316<\/p>\n<\/p>\n
        \u6570\u636e\u53ef\u89c6\u5316\u662fBI\u5206\u6790\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\uff0c\u901a\u8fc7Python\u5f3a\u5927\u7684\u53ef\u89c6\u5316\u5e93\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u521b\u5efa\u4e30\u5bcc\u591a\u6837\u7684\u56fe\u8868\u548c\u4eea\u8868\u76d8\u3002<\/p>\n<\/p>\n
          \n
        1. \n
          \u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u8868<\/strong><\/p>\n<\/p>\n
          \u901a\u8fc7\u4f7f\u7528Plotly\u3001Bokeh\u7b49\u5e93\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u8868\uff0c\u5141\u8bb8\u7528\u6237\u5728\u56fe\u8868\u4e2d\u8fdb\u884c\u7f29\u653e\u3001\u5e73\u79fb\u548c\u9009\u62e9\u3002<\/p>\n<\/p>\n<\/li>\n
        2. \n
          \u751f\u6210\u4eea\u8868\u76d8<\/strong><\/p>\n<\/p>\n
          Dash\u662f\u57fa\u4e8ePlotly\u7684\u4e00\u4e2aPython\u6846\u67b6\uff0c\u7528\u4e8e\u521b\u5efa\u7f51\u7edc\u5e94\u7528\u7a0b\u5e8f\u3002\u901a\u8fc7Dash\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u8f7b\u677e\u5730\u751f\u6210\u4ea4\u4e92\u5f0f\u4eea\u8868\u76d8\uff0c\u5e76\u5c06\u5176\u5d4c\u5165\u5230BI\u5de5\u5177\u4e2d\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4e94\u3001\u7ed3\u8bba<\/p>\n<\/p>\n
          \u901a\u8fc7\u4e0a\u8ff0\u65b9\u6cd5\uff0cPython\u53ef\u4ee5\u4e0eBI\u5de5\u5177\u65e0\u7f1d\u96c6\u6210\uff0c\u5b9e\u73b0\u6570\u636e\u7684\u63d0\u53d6\u3001\u5206\u6790\u548c\u53ef\u89c6\u5316\u3002\u65e0\u8bba\u662f\u901a\u8fc7API\u8fdb\u884c\u6570\u636e\u63d0\u53d6\u548c\u5206\u6790\u4efb\u52a1\u7684\u81ea\u52a8\u5316\uff0c\u8fd8\u662f\u901a\u8fc7\u4e30\u5bcc\u7684\u5e93\u8fdb\u884c\u6570\u636e\u8f6c\u6362\u548c\u53ef\u89c6\u5316\uff0cPython\u90fd\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u5e2e\u52a9\u4ed6\u4eec\u66f4\u597d\u5730\u5229\u7528BI\u5de5\u5177\u8fdb\u884c\u5546\u4e1a\u667a\u80fd\u5206\u6790\u3002<\/p>\n<\/p>\n
          \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
           \u5982\u4f55\u7528Python\u8fde\u63a5\u5230BI\u5de5\u5177\uff1f<\/strong>
          \u8981\u4f7f\u7528Python\u8fde\u63a5\u5230BI\u5de5\u5177\uff0c\u60a8\u9700\u8981\u4e86\u89e3\u8be5\u5de5\u5177\u662f\u5426\u63d0\u4f9bAPI\u6216\u6570\u636e\u5e93\u8fde\u63a5\u652f\u6301\u3002\u5927\u591a\u6570BI\u5de5\u5177\uff0c\u5982Tableau\u3001Power BI\u7b49\uff0c\u901a\u5e38\u63d0\u4f9bREST API\u6216ODBC\/JDBC\u8fde\u63a5\u9009\u9879\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528Python\u7684\u8bf7\u6c42\u5e93\uff08\u5982requests\uff09\u6765\u8bbf\u95eeAPI\uff0c\u6216\u8005\u4f7f\u7528pyodbc\u6216sqlalchemy\u7b49\u5e93\u6765\u5efa\u7acb\u6570\u636e\u5e93\u8fde\u63a5\u3002\u786e\u4fdd\u60a8\u4e86\u89e3\u6240\u9700\u7684\u8ba4\u8bc1\u6d41\u7a0b\u548c\u6570\u636e\u683c\u5f0f\uff0c\u4ee5\u4fbf\u987a\u5229\u8fdb\u884c\u6570\u636e\u4ea4\u4e92\u3002<\/p>\n
          \u4f7f\u7528Python\u8c03\u7528BI\u65f6\uff0c\u5982\u4f55\u5904\u7406\u5927\u6570\u636e\u96c6\uff1f<\/strong>
          \u5904\u7406\u5927\u6570\u636e\u96c6\u65f6\uff0c\u5efa\u8bae\u91c7\u53d6\u6279\u5904\u7406\u7684\u65b9\u5f0f\uff0c\u907f\u514d\u4e00\u6b21\u6027\u52a0\u8f7d\u8fc7\u591a\u6570\u636e\uff0c\u8fd9\u6837\u53ef\u4ee5\u9632\u6b62\u5185\u5b58\u6ea2\u51fa\u6216\u6027\u80fd\u95ee\u9898\u3002\u6b64\u5916\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u5982pandas\uff0c\u6765\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u548c\u64cd\u4f5c\u3002\u5728\u901a\u8fc7API\u83b7\u53d6\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528\u5206\u9875\u6216\u6d41\u5f0f\u4f20\u8f93\u7684\u65b9\u5f0f\uff0c\u4ee5\u51cf\u5c11\u5355\u6b21\u8bf7\u6c42\u7684\u6570\u636e\u91cf\uff0c\u5e76\u63d0\u9ad8\u5904\u7406\u6548\u7387\u3002<\/p>\n
          Python\u8c03\u7528BI\u65f6\uff0c\u5982\u4f55\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\uff1f<\/strong>
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