{"id":953428,"date":"2024-12-27T01:43:39","date_gmt":"2024-12-26T17:43:39","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/953428.html"},"modified":"2024-12-27T01:43:41","modified_gmt":"2024-12-26T17:43:41","slug":"powerbi%e4%b8%ad%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8python","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/953428.html","title":{"rendered":"powerbi\u4e2d\u5982\u4f55\u4f7f\u7528Python"},"content":{"rendered":"

\"powerbi\u4e2d\u5982\u4f55\u4f7f\u7528Python\"<\/p>\n

\u5728Power BI\u4e2d\u4f7f\u7528Python\u6709\u52a9\u4e8e\u6269\u5c55\u6570\u636e\u5206\u6790\u7684\u80fd\u529b\u3001\u5229\u7528Python\u4e30\u5bcc\u7684\u5e93\u548c\u529f\u80fd\u3001\u5b9e\u73b0\u590d\u6742\u7684\u81ea\u5b9a\u4e49\u6570\u636e\u5904\u7406\u3001\u521b\u5efa\u9ad8\u7ea7\u53ef\u89c6\u5316\u3002\u901a\u8fc7\u5728Power BI\u4e2d\u76f4\u63a5\u5d4c\u5165Python\u811a\u672c\uff0c\u53ef\u4ee5\u66f4\u7075\u6d3b\u5730\u5904\u7406\u6570\u636e\uff0c\u5e76\u5229\u7528Python\u8fdb\u884c\u9ad8\u7ea7\u5206\u6790\u548c\u5efa\u6a21\u3002<\/strong><\/p>\n<\/p>\n

\u4f7f\u7528Python\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u8fd1\u5e74\u6765\u53d8\u5f97\u8d8a\u6765\u8d8a\u6d41\u884c\uff0c\u800cPower BI\u4f5c\u4e3a\u4e00\u6b3e\u5f3a\u5927\u7684\u5546\u4e1a\u667a\u80fd\u5de5\u5177\uff0c\u901a\u8fc7\u96c6\u6210Python\uff0c\u8fdb\u4e00\u6b65\u589e\u5f3a\u4e86\u5176\u5206\u6790\u529f\u80fd\u3002\u5728Power BI\u4e2d\u4f7f\u7528Python\uff0c\u7528\u6237\u53ef\u4ee5\u5145\u5206\u5229\u7528Python\u7684\u7075\u6d3b\u6027\u548c\u5f3a\u5927\u529f\u80fd\uff0c\u8fdb\u884c\u590d\u6742\u7684\u6570\u636e\u8f6c\u6362\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n

\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u4e86\u89e3\u5982\u4f55\u5728Power BI\u4e2d\u542f\u7528Python\u652f\u6301\u3002Power BI\u4e2d\u63d0\u4f9b\u4e86\u96c6\u6210Python\u811a\u672c\u7684\u529f\u80fd\uff0c\u8fd9\u4f7f\u5f97\u7528\u6237\u80fd\u591f\u5728\u6570\u636e\u5bfc\u5165\u3001\u6570\u636e\u6e05\u6d17\u548c\u6570\u636e\u53ef\u89c6\u5316\u7b49\u73af\u8282\u4e2d\u4f7f\u7528Python\u4ee3\u7801\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u6b65\u9aa4\u548c\u76f8\u5173\u5185\u5bb9\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5\u548c\u914d\u7f6ePython<\/p>\n<\/p>\n

    \n
  1. \n

    \u5b89\u88c5Python\u73af\u5883<\/strong><\/p>\n<\/p>\n

    \u5728\u4f7f\u7528Power BI\u4e2d\u7684Python\u529f\u80fd\u4e4b\u524d\uff0c\u786e\u4fdd\u5df2\u7ecf\u5728\u60a8\u7684\u8ba1\u7b97\u673a\u4e0a\u5b89\u88c5\u4e86Python\u3002\u63a8\u8350\u4f7f\u7528Anaconda\u53d1\u884c\u7248\uff0c\u56e0\u4e3a\u5b83\u5305\u542b\u4e86\u5e38\u7528\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u5982pandas\u3001numpy\u3001matplotlib\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n

  2. \n

    \u914d\u7f6ePower BI\u4f7f\u7528Python<\/strong><\/p>\n<\/p>\n

    \u5b89\u88c5\u597dPython\u540e\uff0c\u6253\u5f00Power BI\u684c\u9762\u7248\uff0c\u8fdb\u5165\u201c\u6587\u4ef6\u201d\u83dc\u5355\uff0c\u9009\u62e9\u201c\u9009\u9879\u548c\u8bbe\u7f6e\u201d\uff0c\u7136\u540e\u70b9\u51fb\u201c\u9009\u9879\u201d\u3002\u5728\u9009\u9879\u7a97\u53e3\u4e2d\uff0c\u627e\u5230\u201cPython\u811a\u672c\u201d\u9009\u9879\uff0c\u8bbe\u7f6ePython\u7684\u5b89\u88c5\u8def\u5f84\uff0c\u8fd9\u6837Power BI\u5c31\u53ef\u4ee5\u8c03\u7528Python\u73af\u5883\u3002<\/p>\n<\/p>\n<\/li>\n

  3. \n

    \u9a8c\u8bc1Python\u5b89\u88c5<\/strong><\/p>\n<\/p>\n

    \u53ef\u4ee5\u901a\u8fc7Power BI\u4e2d\u7684Python\u811a\u672c\u529f\u80fd\u9a8c\u8bc1Python\u662f\u5426\u6b63\u786e\u5b89\u88c5\u548c\u914d\u7f6e\u3002\u5728Power Query\u4e2d\u63d2\u5165\u4e00\u4e2aPython\u811a\u672c\uff0c\u7b80\u5355\u5730\u8f93\u51fa\u201cHello, World!\u201d\u6765\u6d4b\u8bd5\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n

    \u4e8c\u3001\u5728Power BI\u4e2d\u4f7f\u7528Python\u811a\u672c<\/p>\n<\/p>\n

      \n
    1. \n

      \u5bfc\u5165\u6570\u636e<\/strong><\/p>\n<\/p>\n

      \u5728Power BI\u4e2d\u5bfc\u5165\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u201c\u7f16\u8f91\u67e5\u8be2\u201d\u8fdb\u5165Power Query\u7f16\u8f91\u5668\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u53ef\u4ee5\u5229\u7528Python\u8fdb\u884c\u6570\u636e\u9884\u5904\u7406\u3002\u9009\u62e9\u201c\u8f6c\u6362\u6570\u636e\u201d\u540e\uff0c\u53ef\u4ee5\u70b9\u51fb\u201c\u8fd0\u884cPython\u811a\u672c\u201d\u6765\u7f16\u5199Python\u4ee3\u7801\u5904\u7406\u6570\u636e\u3002<\/p>\n<\/p>\n<\/li>\n

    2. \n

      \u7f16\u5199Python\u811a\u672c<\/strong><\/p>\n<\/p>\n

      \u5728Power Query\u4e2d\u63d2\u5165Python\u811a\u672c\u65f6\uff0c\u53ef\u4ee5\u76f4\u63a5\u5728\u7f16\u8f91\u5668\u4e2d\u7f16\u5199Python\u4ee3\u7801\u3002\u901a\u5e38\u60c5\u51b5\u4e0b\uff0c\u4f60\u4f1a\u4f7f\u7528pandas\u5e93\u6765\u5904\u7406\u6570\u636e\u3002Power BI\u4f1a\u81ea\u52a8\u5c06\u5f53\u524d\u4e0a\u4e0b\u6587\u4e2d\u7684\u6570\u636e\u6846\u4f20\u9012\u7ed9Python\u811a\u672c\uff0c\u901a\u5e38\u547d\u540d\u4e3a'dataset'\u3002<\/p>\n<\/p>\n

      \u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u53ef\u4ee5\u7528\u4e8e\u5bf9\u6570\u636e\u8fdb\u884c\u7b80\u5355\u7684\u8fc7\u6ee4\u548c\u8f6c\u6362\uff1a<\/p>\n<\/p>\n

      import pandas as pd<\/p>\n
      \u8fc7\u6ee4\u6570\u636e\u96c6\u4e2d\u7684\u67d0\u4e9b\u884c<\/strong><\/h2>\n
      dataset = dataset[dataset['column_name'] > 0]<\/p>\n
      \u6dfb\u52a0\u65b0\u7684\u8ba1\u7b97\u5217<\/strong><\/h2>\n
      dataset['new_column'] = dataset['existing_column'] * 2<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    3. \n
      \u8fd4\u56de\u5904\u7406\u540e\u7684\u6570\u636e<\/strong><\/p>\n<\/p>\n
      \u5b8c\u6210\u6570\u636e\u5904\u7406\u540e\uff0c\u786e\u4fddPython\u811a\u672c\u7684\u6700\u540e\u4e00\u6b65\u662f\u8fd4\u56de\u5904\u7406\u540e\u7684\u6570\u636e\u96c6\u3002Power BI\u4f1a\u5c06Python\u811a\u672c\u7684\u8f93\u51fa\u4f5c\u4e3a\u65b0\u7684\u67e5\u8be2\u7ed3\u679c\uff0c\u4f9b\u540e\u7eed\u6b65\u9aa4\u4f7f\u7528\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001\u5728Power BI\u4e2d\u4f7f\u7528Python\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316<\/p>\n<\/p>\n
        \n
      1. \n
        \u521b\u5efaPython\u53ef\u89c6\u5316<\/strong><\/p>\n<\/p>\n
        Power BI\u5141\u8bb8\u7528\u6237\u5728\u62a5\u544a\u89c6\u56fe\u4e2d\u63d2\u5165Python\u53ef\u89c6\u5316\u3002\u901a\u8fc7\u9009\u62e9\u201c\u63d2\u5165\u201d\u83dc\u5355\u4e2d\u7684\u201cPython\u53ef\u89c6\u5316\u201d\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u62a5\u544a\u4e2d\u76f4\u63a5\u5d4c\u5165Python\u4ee3\u7801\u8fdb\u884c\u9ad8\u7ea7\u6570\u636e\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n<\/li>\n
      2. \n
        \u7f16\u5199\u53ef\u89c6\u5316\u4ee3\u7801<\/strong><\/p>\n<\/p>\n
        \u5728Python\u53ef\u89c6\u5316\u7f16\u8f91\u5668\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528matplotlib\u3001seaborn\u7b49\u5e93\u521b\u5efa\u590d\u6742\u7684\u56fe\u8868\u3002\u4f8b\u5982\uff0c\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684Python\u4ee3\u7801\u793a\u4f8b\uff0c\u7528\u4e8e\u7ed8\u5236\u6563\u70b9\u56fe\uff1a<\/p>\n<\/p>\n
        import matplotlib.pyplot as plt<\/p>\n
        import seaborn as sns<\/p>\n
        \u8bbe\u7f6e\u753b\u5e03\u5927\u5c0f<\/strong><\/h2>\n
        plt.figure(figsize=(10, 6))<\/p>\n
        \u4f7f\u7528seaborn\u7ed8\u5236\u6563\u70b9\u56fe<\/strong><\/h2>\n
        sns.scatterplot(data=dataset, x='column_x', y='column_y')<\/p>\n
        \u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
        plt.show()<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      3. \n
        \u8c03\u6574\u548c\u4f18\u5316\u56fe\u8868<\/strong><\/p>\n<\/p>\n
        \u5728Power BI\u4e2d\u4f7f\u7528Python\u53ef\u89c6\u5316\u65f6\uff0c\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8c03\u6574\u56fe\u8868\u7684\u6837\u5f0f\u3001\u989c\u8272\u548c\u6807\u7b7e\uff0c\u4ee5\u786e\u4fdd\u56fe\u8868\u7684\u53ef\u8bfb\u6027\u548c\u7f8e\u89c2\u3002\u901a\u8fc7Python\u4ee3\u7801\u7684\u7075\u6d3b\u6027\uff0c\u7528\u6237\u53ef\u4ee5\u521b\u5efa\u9ad8\u5ea6\u81ea\u5b9a\u4e49\u7684\u53ef\u89c6\u5316\u6548\u679c\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001\u4f7f\u7528Python\u8fdb\u884c\u9ad8\u7ea7\u5206\u6790<\/p>\n<\/p>\n
          \n
        1. \n
          \u673a\u5668\u5b66\u4e60<\/a>\u548c\u9884\u6d4b<\/strong><\/p>\n<\/p>\n
          Power BI\u4e2d\u7684Python\u529f\u80fd\u4e0d\u4ec5\u9650\u4e8e\u6570\u636e\u6e05\u6d17\u548c\u53ef\u89c6\u5316\uff0c\u8fd8\u53ef\u4ee5\u7528\u4e8e\u5b9e\u65bd\u673a\u5668\u5b66\u4e60\u6a21\u578b\u548c\u9884\u6d4b\u5206\u6790\u3002\u501f\u52a9scikit-learn\u7b49\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u7528\u6237\u53ef\u4ee5\u5728Power BI\u4e2d\u6784\u5efa\u548c\u8bad\u7ec3\u9884\u6d4b\u6a21\u578b\u3002<\/p>\n<\/p>\n<\/li>\n
        2. \n
          \u65f6\u95f4\u5e8f\u5217\u5206\u6790<\/strong><\/p>\n<\/p>\n
          \u5bf9\u4e8e\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u7528\u6237\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684statsmodels\u5e93\u8fdb\u884c\u5efa\u6a21\u548c\u9884\u6d4b\u3002Power BI\u4e2d\u7684Python\u529f\u80fd\u5141\u8bb8\u7528\u6237\u5bf9\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u8fdb\u884c\u590d\u6742\u7684\u5206\u6790\u548c\u9884\u6d4b\u3002<\/p>\n<\/p>\n<\/li>\n
        3. \n
          \u81ea\u7136\u8bed\u8a00\u5904\u7406<\/strong><\/p>\n<\/p>\n
          \u5982\u679c\u60a8\u7684\u6570\u636e\u5305\u542b\u6587\u672c\u4fe1\u606f\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5e93\uff08\u5982nltk\u3001spaCy\u7b49\uff09\u8fdb\u884c\u6587\u672c\u5206\u6790\u3002\u901a\u8fc7\u5728Power BI\u4e2d\u5d4c\u5165Python\u811a\u672c\uff0c\u53ef\u4ee5\u5b9e\u73b0\u6587\u672c\u5206\u7c7b\u3001\u60c5\u611f\u5206\u6790\u7b49\u9ad8\u7ea7\u529f\u80fd\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4e94\u3001\u6700\u4f73\u5b9e\u8df5\u548c\u6ce8\u610f\u4e8b\u9879<\/p>\n<\/p>\n
            \n
          1. \n
            \u4fdd\u6301Python\u811a\u672c\u7b80\u5355<\/strong><\/p>\n<\/p>\n
            \u5728Power BI\u4e2d\u4f7f\u7528Python\u65f6\uff0c\u5efa\u8bae\u4fdd\u6301\u811a\u672c\u7684\u7b80\u6d01\u6027\u548c\u53ef\u8bfb\u6027\u3002\u5c06\u590d\u6742\u7684\u5206\u6790\u548c\u5904\u7406\u903b\u8f91\u62c6\u5206\u4e3a\u591a\u4e2a\u6b65\u9aa4\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u8fdb\u884c\u8c03\u8bd5\u548c\u7ef4\u62a4\u3002<\/p>\n<\/p>\n<\/li>\n
          2. \n
            \u4f18\u5316\u6027\u80fd<\/strong><\/p>\n<\/p>\n
            \u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u65f6\uff0c\u6ce8\u610f\u4f18\u5316Python\u811a\u672c\u7684\u6027\u80fd\u3002\u4f7f\u7528\u9002\u5f53\u7684\u6570\u636e\u91c7\u6837\u548c\u6279\u5904\u7406\u6280\u672f\uff0c\u907f\u514d\u5728\u5185\u5b58\u4e2d\u52a0\u8f7d\u8fc7\u5927\u7684\u6570\u636e\u96c6\u3002<\/p>\n<\/p>\n<\/li>\n
          3. \n
            \u7ba1\u7406Python\u4f9d\u8d56<\/strong><\/p>\n<\/p>\n
            \u786e\u4fdd\u6240\u6709\u9700\u8981\u7684Python\u5e93\u90fd\u5df2\u6b63\u786e\u5b89\u88c5\uff0c\u5e76\u5728Power BI\u4e2d\u914d\u7f6e\u4e86\u6b63\u786e\u7684Python\u73af\u5883\u8def\u5f84\u3002\u5b9a\u671f\u66f4\u65b0Python\u5e93\uff0c\u4ee5\u5229\u7528\u6700\u65b0\u7684\u529f\u80fd\u548c\u6027\u80fd\u6539\u8fdb\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
            \u901a\u8fc7\u5728Power BI\u4e2d\u4f7f\u7528Python\uff0c\u7528\u6237\u53ef\u4ee5\u5927\u5927\u6269\u5c55\u5176\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u80fd\u529b\u3002\u65e0\u8bba\u662f\u6570\u636e\u9884\u5904\u7406\u3001\u590d\u6742\u7684\u53ef\u89c6\u5316\uff0c\u8fd8\u662f\u673a\u5668\u5b66\u4e60\u548c\u9884\u6d4b\u5206\u6790\uff0cPython\u7684\u96c6\u6210\u90fd\u4e3aPower BI\u7528\u6237\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5de5\u5177\u6765\u89e3\u51b3\u5404\u79cd\u6570\u636e\u6311\u6218\u3002<\/p>\n<\/p>\n
            \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
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