{"id":947506,"date":"2024-12-26T23:52:11","date_gmt":"2024-12-26T15:52:11","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/947506.html"},"modified":"2024-12-26T23:52:13","modified_gmt":"2024-12-26T15:52:13","slug":"python-%e5%a6%82%e4%bd%95%e4%bf%ae%e6%94%b9%e5%88%97%e5%90%8d","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/947506.html","title":{"rendered":"python \u5982\u4f55\u4fee\u6539\u5217\u540d"},"content":{"rendered":"

\"python<\/p>\n

Python\u4e2d\u4fee\u6539\u5217\u540d\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff1a\u4f7f\u7528pandas\u5e93\u7684rename<\/code>\u65b9\u6cd5\u3001\u4f7f\u7528columns<\/code>\u5c5e\u6027\u3001\u901a\u8fc7\u5217\u8868\u8d4b\u503c\u7b49\u3002<\/strong>\u5728\u8fd9\u4e9b\u65b9\u6cd5\u4e2d\uff0crename<\/code>\u65b9\u6cd5\u8f83\u4e3a\u7075\u6d3b\uff0c\u9002\u7528\u4e8e\u9700\u8981\u90e8\u5206\u4fee\u6539\u5217\u540d\u7684\u60c5\u51b5\uff1bcolumns<\/code>\u5c5e\u6027\u548c\u5217\u8868\u8d4b\u503c\u9002\u5408\u76f4\u63a5\u4fee\u6539\u6240\u6709\u5217\u540d\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u53ca\u5176\u4f7f\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n

\u4e00\u3001PANDAS\u5e93\u7684RENAME<\/code>\u65b9\u6cd5<\/p>\n<\/p>\n

Pandas\u662fPython\u4e2d\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u63d0\u4f9b\u4e86\u8bb8\u591a\u4fbf\u6377\u7684\u529f\u80fd\u6765\u5904\u7406\u6570\u636e\u8868\u3002rename<\/code>\u65b9\u6cd5\u5c31\u662f\u5176\u4e2d\u4e4b\u4e00\uff0c\u901a\u8fc7\u5b83\u53ef\u4ee5\u8f7b\u677e\u4fee\u6539DataFrame\u4e2d\u7684\u5217\u540d\u3002<\/p>\n<\/p>\n

    \n
  1. rename<\/code>\u65b9\u6cd5\u7684\u57fa\u672c\u7528\u6cd5<\/li>\n<\/ol>\n

    rename<\/code>\u65b9\u6cd5\u53ef\u4ee5\u901a\u8fc7\u4f20\u5165\u4e00\u4e2a\u5b57\u5178\u6765\u6307\u5b9a\u8981\u4fee\u6539\u7684\u5217\u540d\uff0c\u5176\u4e2d\u5b57\u5178\u7684\u952e\u4e3a\u539f\u5217\u540d\uff0c\u503c\u4e3a\u65b0\u5217\u540d\u3002<\/p>\n<\/p>\n

    import pandas as pd<\/p>\n
    \u521b\u5efa\u4e00\u4e2a\u793a\u4f8bDataFrame<\/strong><\/h2>\n
    data = {'old_name1': [1, 2, 3], 'old_name2': [4, 5, 6]}<\/p>\n
    df = pd.DataFrame(data)<\/p>\n
    \u4f7f\u7528rename\u65b9\u6cd5\u4fee\u6539\u5217\u540d<\/strong><\/h2>\n
    df.rename(columns={'old_name1': 'new_name1', 'old_name2': 'new_name2'}, inplace=True)<\/p>\n
    print(df)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u5c06old_name1<\/code>\u4fee\u6539\u4e3anew_name1<\/code>\uff0cold_name2<\/code>\u4fee\u6539\u4e3anew_name2<\/code>\u3002<\/p>\n<\/p>\n
      \n
    1. rename<\/code>\u65b9\u6cd5\u7684\u7075\u6d3b\u6027<\/li>\n<\/ol>\n
      rename<\/code>\u65b9\u6cd5\u4e0d\u4ec5\u53ef\u4ee5\u4fee\u6539\u5217\u540d\uff0c\u8fd8\u53ef\u4ee5\u4fee\u6539\u884c\u7d22\u5f15\u3002\u6b64\u5916\uff0c\u5b83\u652f\u6301\u4f20\u5165\u51fd\u6570\u4ee5\u6279\u91cf\u4fee\u6539\u5217\u540d\u3002<\/p>\n<\/p>\n
      # \u4f7f\u7528\u51fd\u6570\u6279\u91cf\u4fee\u6539\u5217\u540d<\/p>\n
      df.rename(columns=lambda x: x.upper(), inplace=True)<\/p>\n
      print(df)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u5c06\u6240\u6709\u5217\u540d\u8f6c\u6362\u4e3a\u5927\u5199\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001\u4f7f\u7528COLUMNS<\/code>\u5c5e\u6027<\/p>\n<\/p>\n
      columns<\/code>\u5c5e\u6027\u63d0\u4f9b\u4e86\u4e00\u79cd\u76f4\u63a5\u4fee\u6539\u6240\u6709\u5217\u540d\u7684\u65b9\u5f0f\u3002\u5f53\u9700\u8981\u4e00\u6b21\u6027\u4fee\u6539\u6240\u6709\u5217\u540d\u65f6\uff0c\u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u65b9\u4fbf\u3002<\/p>\n<\/p>\n
        \n
      1. columns<\/code>\u5c5e\u6027\u7684\u57fa\u672c\u7528\u6cd5<\/li>\n<\/ol>\n
        \u53ef\u4ee5\u76f4\u63a5\u901a\u8fc7\u8d4b\u503c\u7684\u65b9\u5f0f\u4fee\u6539DataFrame\u7684\u5217\u540d\u3002<\/p>\n<\/p>\n
        # \u76f4\u63a5\u4fee\u6539\u6240\u6709\u5217\u540d<\/p>\n
        df.columns = ['col1', 'col2']<\/p>\n
        print(df)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u5c06\u5217\u540d\u4fee\u6539\u4e3acol1<\/code>\u548ccol2<\/code>\u3002<\/p>\n<\/p>\n
          \n
        1. \u4f7f\u7528\u573a\u666f<\/li>\n<\/ol>\n
          \u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u91cd\u547d\u540d\u6240\u6709\u5217\u7684\u60c5\u51b5\uff0c\u4e14\u65b0\u7684\u5217\u540d\u6570\u91cf\u548c\u987a\u5e8f\u5fc5\u987b\u4e0e\u539f\u5217\u540d\u4e00\u81f4\u3002<\/p>\n<\/p>\n
          \u4e09\u3001\u901a\u8fc7\u5217\u8868\u8d4b\u503c<\/p>\n<\/p>\n
          \u4e0ecolumns<\/code>\u5c5e\u6027\u7c7b\u4f3c\uff0c\u53ef\u4ee5\u901a\u8fc7\u5217\u8868\u8d4b\u503c\u7684\u65b9\u5f0f\u4fee\u6539\u5217\u540d\u3002\u8fd9\u79cd\u65b9\u6cd5\u7b80\u5355\u76f4\u89c2\u3002<\/p>\n<\/p>\n
          # \u901a\u8fc7\u5217\u8868\u8d4b\u503c\u4fee\u6539\u5217\u540d<\/p>\n
          new_column_names = ['column1', 'column2']<\/p>\n
          df.columns = new_column_names<\/p>\n
          print(df)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u8fd9\u79cd\u65b9\u6cd5\u540c\u6837\u9002\u7528\u4e8e\u9700\u8981\u4e00\u6b21\u6027\u4fee\u6539\u6240\u6709\u5217\u540d\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n
          \u56db\u3001\u7efc\u5408\u5e94\u7528\u573a\u666f<\/p>\n<\/p>\n
            \n
          1. \u6279\u91cf\u6570\u636e\u5904\u7406\u4e2d\u7684\u5e94\u7528<\/li>\n<\/ol>\n
            \u5728\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u8fc7\u7a0b\u4e2d\uff0c\u7ecf\u5e38\u9700\u8981\u5bf9\u6570\u636e\u8868\u8fdb\u884c\u6e05\u6d17\u548c\u6574\u7406\u3002\u4fee\u6539\u5217\u540d\u662f\u5176\u4e2d\u7684\u91cd\u8981\u4e00\u6b65\uff0c\u5c24\u5176\u662f\u5728\u4ece\u591a\u4e2a\u6570\u636e\u6e90\u83b7\u53d6\u6570\u636e\u65f6\uff0c\u5217\u540d\u7684\u683c\u5f0f\u548c\u542b\u4e49\u53ef\u80fd\u4e0d\u4e00\u81f4\u3002<\/p>\n<\/p>\n
              \n
            1. \u6570\u636e\u53ef\u89c6\u5316\u4e2d\u7684\u5e94\u7528<\/li>\n<\/ol>\n
              \u5728\u6570\u636e\u53ef\u89c6\u5316\u65f6\uff0c\u6e05\u6670\u6613\u61c2\u7684\u5217\u540d\u53ef\u4ee5\u5e2e\u52a9\u66f4\u597d\u5730\u7406\u89e3\u56fe\u8868\u4fe1\u606f\u3002\u901a\u8fc7\u4fee\u6539\u5217\u540d\uff0c\u53ef\u4ee5\u4f7f\u6570\u636e\u66f4\u5177\u53ef\u8bfb\u6027\u3002<\/p>\n<\/p>\n
                \n
              1. \u6570\u636e\u5bfc\u51fa\u4e2d\u7684\u5e94\u7528<\/li>\n<\/ol>\n
                \u5728\u5c06\u6570\u636e\u5bfc\u51fa\u4e3a\u5176\u4ed6\u683c\u5f0f\uff08\u5982CSV\u3001Excel\uff09\u65f6\uff0c\u5408\u7406\u7684\u5217\u540d\u80fd\u63d0\u9ad8\u6570\u636e\u7684\u53ef\u7528\u6027\u548c\u53ef\u8bfb\u6027\u3002<\/p>\n<\/p>\n
                \u4e94\u3001\u603b\u7ed3<\/p>\n<\/p>\n
                \u4fee\u6539\u5217\u540d\u662f\u6570\u636e\u5904\u7406\u4e2d\u7684\u57fa\u7840\u64cd\u4f5c\uff0cPython\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u5b9e\u73b0\u8fd9\u4e00\u9700\u6c42\u3002\u901a\u8fc7\u7075\u6d3b\u8fd0\u7528rename<\/code>\u65b9\u6cd5\u3001columns<\/code>\u5c5e\u6027\u548c\u5217\u8868\u8d4b\u503c\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5bf9DataFrame\u7684\u5217\u540d\u8fdb\u884c\u4fee\u6539\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u3002<\/p>\n<\/p>\n
                \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                 \u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528Pandas\u4fee\u6539DataFrame\u7684\u5217\u540d\uff1f<\/strong>
                \u5728Python\u4e2d\uff0c\u4f7f\u7528Pandas\u5e93\u53ef\u4ee5\u8f7b\u677e\u5730\u4fee\u6539DataFrame\u7684\u5217\u540d\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528rename()<\/code>\u65b9\u6cd5\u6765\u6539\u53d8\u7279\u5b9a\u5217\u7684\u540d\u79f0\uff0c\u6216\u76f4\u63a5\u901a\u8fc7\u8d4b\u503c\u6765\u4fee\u6539columns<\/code>\u5c5e\u6027\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u4f60\u6709\u4e00\u4e2aDataFrame df<\/code>\uff0c\u53ef\u4ee5\u4f7f\u7528\u5982\u4e0b\u4ee3\u7801\u4fee\u6539\u5217\u540d\uff1a  <\/p>\n
                df.rename(columns={'\u65e7\u5217\u540d': '\u65b0\u5217\u540d'}, inplace=True)\n<\/code><\/pre>\n
                \u6216\u8005\u76f4\u63a5\u91cd\u8d4b\u503c\uff1a  <\/p>\n
                df.columns = ['\u65b0\u5217\u540d1', '\u65b0\u5217\u540d2', '\u65b0\u5217\u540d3']\n<\/code><\/pre>\n
                \u4fee\u6539\u5217\u540d\u540e\uff0c\u5982\u4f55\u786e\u4fdd\u6570\u636e\u7684\u5b8c\u6574\u6027\u548c\u6b63\u786e\u6027\uff1f<\/strong>
                \u5728\u4fee\u6539\u5217\u540d\u540e\uff0c\u5efa\u8bae\u4f7f\u7528head()<\/code>\u65b9\u6cd5\u67e5\u770bDataFrame\u7684\u524d\u51e0\u884c\uff0c\u4ee5\u786e\u8ba4\u5217\u540d\u5df2\u6b63\u786e\u66f4\u6539\u3002\u6b64\u5916\uff0c\u6267\u884cinfo()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u4f60\u68c0\u67e5\u6570\u636e\u7c7b\u578b\u662f\u5426\u672a\u53d7\u5230\u5f71\u54cd\u3002\u786e\u4fdd\u5728\u4fee\u6539\u5217\u540d\u7684\u540c\u65f6\uff0c\u4e0d\u5f71\u54cd\u6570\u636e\u7684\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n
                \u662f\u5426\u53ef\u4ee5\u901a\u8fc7\u5176\u4ed6\u65b9\u6cd5\u6279\u91cf\u4fee\u6539Pandas DataFrame\u7684\u5217\u540d\uff1f<\/strong>
                \u786e\u5b9e\u53ef\u4ee5\uff0c\u9664\u4e86\u4f7f\u7528rename()<\/code>\u65b9\u6cd5\u548c\u76f4\u63a5\u8d4b\u503c\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528set_axis()<\/code>\u65b9\u6cd5\u3002\u901a\u8fc7\u5c06\u65b0\u5217\u540d\u7684\u5217\u8868\u4f20\u9012\u7ed9set_axis()<\/code>\uff0c\u53ef\u4ee5\u6279\u91cf\u4fee\u6539\u6240\u6709\u5217\u540d\u3002\u4f8b\u5982\uff1a  <\/p>\n
                df.set_axis(['\u65b0\u5217\u540d1', '\u65b0\u5217\u540d2', '\u65b0\u5217\u540d3'], axis=1, inplace=True)\n<\/code><\/pre>\n
                \u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u5728\u4e00\u6b21\u64cd\u4f5c\u4e2d\u5b9e\u73b0\u591a\u4e2a\u5217\u540d\u7684\u66f4\u65b0\uff0c\u8282\u7701\u4e86\u4ee3\u7801\u7684\u884c\u6570\u548c\u65f6\u95f4\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4e2d\u4fee\u6539\u5217\u540d\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff1a\u4f7f\u7528pandas\u5e93\u7684rename\u65b9\u6cd5\u3001\u4f7f\u7528columns\u5c5e\u6027\u3001\u901a\u8fc7\u5217\u8868\u8d4b\u503c […]","protected":false},"author":3,"featured_media":947513,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/947506"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=947506"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/947506\/revisions"}],"predecessor-version":[{"id":947514,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/947506\/revisions\/947514"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/947513"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=947506"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=947506"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=947506"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}