{"id":950122,"date":"2024-12-27T00:25:49","date_gmt":"2024-12-26T16:25:49","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/950122.html"},"modified":"2024-12-27T00:25:50","modified_gmt":"2024-12-26T16:25:50","slug":"python%e5%a6%82%e4%bd%95%e4%bf%ae%e6%94%b9colums","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/950122.html","title":{"rendered":"python\u5982\u4f55\u4fee\u6539colums"},"content":{"rendered":"

\"python\u5982\u4f55\u4fee\u6539colums\"<\/p>\n

\u5f00\u5934\u6bb5\u843d\uff1a
\u5728Python\u4e2d\u4fee\u6539DataFrame\u7684\u5217\u540d\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u4e2d\u7684rename()<\/code>\u65b9\u6cd5\u3001\u76f4\u63a5\u8d4b\u503c\u64cd\u4f5c\u3001\u4ee5\u53caset_axis()<\/code>\u65b9\u6cd5<\/strong>\u3002\u5176\u4e2d\uff0crename()<\/code>\u65b9\u6cd5\u5141\u8bb8\u6211\u4eec\u901a\u8fc7\u5b57\u5178\u4f20\u9012\u65e7\u5217\u540d\u4e0e\u65b0\u5217\u540d\u7684\u6620\u5c04\u5173\u7cfb\u6765\u4fee\u6539\u5217\u540d\uff0c\u8fd9\u662f\u6700\u5e38\u7528\u4e14\u7075\u6d3b\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u6211\u4eec\u53ef\u4ee5\u5f88\u65b9\u4fbf\u5730\u5bf9\u7279\u5b9a\u5217\u8fdb\u884c\u91cd\u547d\u540d\uff0c\u800c\u4e0d\u5f71\u54cd\u5176\u4ed6\u5217\u3002\u6b64\u5916\uff0c\u76f4\u63a5\u8d4b\u503c\u64cd\u4f5c\u53ef\u4ee5\u901a\u8fc7\u5c06\u65b0\u7684\u5217\u540d\u5217\u8868\u8d4b\u503c\u7ed9DataFrame.columns<\/code>\u5c5e\u6027\u6765\u5b9e\u73b0\uff0c\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u91cd\u547d\u540d\u6240\u6709\u5217\u3002set_axis()<\/code>\u65b9\u6cd5\u5219\u53ef\u4ee5\u7528\u6765\u540c\u65f6\u8bbe\u7f6e\u884c\u7d22\u5f15\u548c\u5217\u6807\u7b7e\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528rename()<\/code>\u65b9\u6cd5\u4fee\u6539\u5217\u540d <\/p>\n<\/p>\n

rename()<\/code>\u65b9\u6cd5\u662fpandas<\/code>\u5e93\u63d0\u4f9b\u7684\u4e00\u4e2a\u975e\u5e38\u7075\u6d3b\u7684\u51fd\u6570\uff0c\u53ef\u4ee5\u7528\u4e8e\u4fee\u6539DataFrame\u4e2d\u5217\u7684\u540d\u79f0\u3002\u8be5\u65b9\u6cd5\u7684\u57fa\u672c\u8bed\u6cd5\u662f\uff1a<\/p>\n<\/p>\n

df.rename(columns={'\u65e7\u5217\u540d': '\u65b0\u5217\u540d'}, inplace=True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
    \n
  1. \n
    \u7075\u6d3b\u6027\u548c\u5c40\u90e8\u4fee\u6539<\/strong>
    rename()<\/code>\u65b9\u6cd5\u5141\u8bb8\u6211\u4eec\u901a\u8fc7\u4f20\u9012\u4e00\u4e2a\u5b57\u5178\u6765\u6620\u5c04\u65e7\u5217\u540d\u5230\u65b0\u5217\u540d\u3002\u8fd9\u79cd\u65b9\u5f0f\u63d0\u4f9b\u4e86\u6781\u5927\u7684\u7075\u6d3b\u6027\uff0c\u56e0\u4e3a\u6211\u4eec\u53ef\u4ee5\u9009\u62e9\u6027\u5730\u91cd\u547d\u540d\u67d0\u4e9b\u5217\uff0c\u800c\u4e0d\u662f\u5fc5\u987b\u91cd\u547d\u540d\u6240\u6709\u5217\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    data = {'A': [1, 2], 'B': [3, 4]}<\/p>\n
    df = pd.DataFrame(data)<\/p>\n
    df.rename(columns={'A': 'Alpha', 'B': 'Beta'}, inplace=True)<\/p>\n
    print(df)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u5c06\u5217\u540dA<\/code>\u548cB<\/code>\u5206\u522b\u4fee\u6539\u4e3aAlpha<\/code>\u548cBeta<\/code>\u3002inplace=True<\/code>\u53c2\u6570\u8868\u793a\u76f4\u63a5\u5728\u539fDataFrame\u4e0a\u8fdb\u884c\u4fee\u6539\uff0c\u800c\u4e0d\u8fd4\u56de\u65b0\u7684DataFrame\u3002<\/p>\n<\/p>\n<\/li>\n
  2. \n
    \u907f\u514d\u4e0d\u5fc5\u8981\u7684\u5185\u5b58\u5360\u7528<\/strong>
    \u4f7f\u7528rename()<\/code>\u65f6\uff0c\u8bbe\u7f6einplace=True<\/code>\u53ef\u4ee5\u907f\u514d\u521b\u5efa\u4e00\u4e2a\u65b0\u7684DataFrame\uff0c\u4ece\u800c\u51cf\u5c11\u5185\u5b58\u5360\u7528\u3002\u8fd9\u5728\u5904\u7406\u5927\u6570\u636e\u96c6\u65f6\u5c24\u4e3a\u91cd\u8981\uff0c\u56e0\u4e3a\u6bcf\u6b21\u521b\u5efa\u65b0\u7684DataFrame\u90fd\u4f1a\u6d88\u8017\u66f4\u591a\u7684\u5185\u5b58\u8d44\u6e90\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e8c\u3001\u76f4\u63a5\u8d4b\u503c\u4fee\u6539\u6240\u6709\u5217\u540d  <\/p>\n<\/p>\n
    \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u4e00\u6b21\u6027\u4fee\u6539DataFrame\u7684\u6240\u6709\u5217\u540d\u3002\u8fd9\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u76f4\u63a5\u8d4b\u503c\u7684\u65b9\u5f0f\u6765\u5b9e\u73b0\u3002\u5177\u4f53\u505a\u6cd5\u662f\u5c06\u65b0\u7684\u5217\u540d\u5217\u8868\u8d4b\u503c\u7ed9DataFrame.columns<\/code>\u5c5e\u6027\u3002<\/p>\n<\/p>\n
      \n
    1. \n
      \u7b80\u5355\u4e14\u76f4\u89c2\u7684\u64cd\u4f5c<\/strong>
      \u76f4\u63a5\u8d4b\u503c\u4fee\u6539\u5217\u540d\u7684\u65b9\u6cd5\u975e\u5e38\u7b80\u5355\u548c\u76f4\u89c2\uff0c\u9002\u5408\u7528\u4e8e\u9700\u8981\u66f4\u6539\u6240\u6709\u5217\u540d\u7684\u573a\u666f\u3002\u4f8b\u5982\uff1a<\/p>\n<\/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\u5c06DataFrame\u7684\u6240\u6709\u5217\u540d\u4fee\u6539\u4e3aCol1<\/code>\u548cCol2<\/code>\u3002<\/p>\n<\/p>\n<\/li>\n
    2. \n
      \u786e\u4fdd\u5217\u540d\u6570\u91cf\u4e00\u81f4<\/strong>
      \u4f7f\u7528\u76f4\u63a5\u8d4b\u503c\u65b9\u6cd5\u65f6\uff0c\u9700\u8981\u786e\u4fdd\u65b0\u7684\u5217\u540d\u5217\u8868\u957f\u5ea6\u4e0e\u539fDataFrame\u5217\u6570\u4e00\u81f4\uff0c\u5426\u5219\u4f1a\u5f15\u53d1\u9519\u8bef\u3002\u8fd9\u4e00\u70b9\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u9700\u8981\u7279\u522b\u6ce8\u610f\uff0c\u4ee5\u907f\u514d\u7a0b\u5e8f\u5d29\u6e83\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001\u4f7f\u7528set_axis()<\/code>\u65b9\u6cd5  <\/p>\n<\/p>\n
      set_axis()<\/code>\u662fpandas<\/code>\u7684\u53e6\u4e00\u4e2a\u65b9\u6cd5\uff0c\u53ef\u4ee5\u7528\u4e8e\u540c\u65f6\u8bbe\u7f6e\u884c\u7d22\u5f15\u548c\u5217\u6807\u7b7e\u3002\u867d\u7136\u4e0d\u5982rename()<\/code>\u5e38\u7528\uff0c\u4f46\u5728\u7279\u5b9a\u573a\u5408\u4e0b\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        \u540c\u65f6\u4fee\u6539\u884c\u7d22\u5f15\u548c\u5217\u6807\u7b7e<\/strong>
        set_axis()<\/code>\u65b9\u6cd5\u5141\u8bb8\u6211\u4eec\u540c\u65f6\u4fee\u6539DataFrame\u7684\u884c\u7d22\u5f15\u548c\u5217\u6807\u7b7e\uff0c\u8fd9\u5728\u67d0\u4e9b\u9700\u8981\u7edf\u4e00\u4fee\u6539\u6807\u7b7e\u7684\u573a\u666f\u4e0b\u975e\u5e38\u6709\u7528\u3002\u5176\u57fa\u672c\u8bed\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
        df.set_axis(['Row1', 'Row2'], axis=0, inplace=True)<\/p>\n
        df.set_axis(['Col1', 'Col2'], axis=1, inplace=True)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u901a\u8fc7\u8bbe\u7f6eaxis<\/code>\u53c2\u6570\uff0c\u6211\u4eec\u53ef\u4ee5\u6307\u5b9a\u662f\u4fee\u6539\u884c\u7d22\u5f15\uff08axis=0<\/code>\uff09\u8fd8\u662f\u5217\u6807\u7b7e\uff08axis=1<\/code>\uff09\u3002<\/p>\n<\/p>\n<\/li>\n
      2. \n
        \u7075\u6d3b\u7684\u6807\u7b7e\u7ba1\u7406<\/strong>
        set_axis()<\/code>\u65b9\u6cd5\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u6807\u7b7e\u7ba1\u7406\u529f\u80fd\uff0c\u9002\u5408\u7528\u4e8e\u9700\u8981\u52a8\u6001\u4fee\u6539\u6807\u7b7e\u7684\u5e94\u7528\u573a\u666f\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0cinplace=True<\/code>\u53c2\u6570\u540c\u6837\u9002\u7528\uff0c\u8868\u793a\u76f4\u63a5\u4fee\u6539\u539fDataFrame\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001\u5e38\u89c1\u5e94\u7528\u573a\u666f\u4e0e\u6ce8\u610f\u4e8b\u9879  <\/p>\n<\/p>\n
          \n
        1. \n
          \u6279\u91cf\u6570\u636e\u5904\u7406<\/strong>
          \u5728\u6279\u91cf\u6570\u636e\u5904\u7406\u4e2d\uff0c\u7ecf\u5e38\u9700\u8981\u7edf\u4e00\u4fee\u6539\u5217\u540d\u4ee5\u4fbf\u4e8e\u540e\u7eed\u6570\u636e\u5206\u6790\u6216\u5904\u7406\u3002\u4f8b\u5982\uff0c\u5728\u6570\u636e\u6e05\u6d17\u9636\u6bb5\uff0c\u53ef\u4ee5\u901a\u8fc7rename()<\/code>\u65b9\u6cd5\u7edf\u4e00\u4fee\u6539\u5217\u540d\uff0c\u4f7f\u5f97\u6570\u636e\u66f4\u52a0\u89c4\u8303\u548c\u6613\u4e8e\u7406\u89e3\u3002<\/p>\n<\/p>\n<\/li>\n
        2. \n
          \u4e0e\u5176\u4ed6pandas<\/code>\u529f\u80fd\u7ed3\u5408\u4f7f\u7528<\/strong>
          \u4fee\u6539\u5217\u540d\u7684\u64cd\u4f5c\u7ecf\u5e38\u4e0epandas<\/code>\u7684\u5176\u4ed6\u529f\u80fd\u7ed3\u5408\u4f7f\u7528\uff0c\u4f8b\u5982\u5728\u6570\u636e\u900f\u89c6\u8868\uff08pivot table\uff09\u64cd\u4f5c\u540e\uff0c\u901a\u5e38\u9700\u8981\u4fee\u6539\u751f\u6210\u7684\u5217\u540d\u4ee5\u4fbf\u4e8e\u540e\u7eed\u5206\u6790\u3002<\/p>\n<\/p>\n<\/li>\n
        3. \n
          \u6ce8\u610f\u5217\u540d\u7684\u552f\u4e00\u6027<\/strong>
          \u4fee\u6539\u5217\u540d\u65f6\u9700\u8981\u786e\u4fdd\u65b0\u5217\u540d\u7684\u552f\u4e00\u6027\uff0c\u4ee5\u907f\u514d\u56e0\u91cd\u540d\u5bfc\u81f4\u7684\u6570\u636e\u6df7\u4e71\u6216\u9519\u8bef\u3002\u5982\u679c\u51fa\u73b0\u91cd\u590d\u5217\u540d\uff0c\u53ef\u4ee5\u901a\u8fc7\u6dfb\u52a0\u540e\u7f00\u6216\u524d\u7f00\u7684\u65b9\u5f0f\u6765\u89e3\u51b3\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4e94\u3001\u603b\u7ed3  <\/p>\n<\/p>\n
          \u5728Python\u4e2d\uff0c\u4fee\u6539DataFrame\u7684\u5217\u540d\u662f\u4e00\u4e2a\u57fa\u7840\u4e14\u5e38\u7528\u7684\u64cd\u4f5c\u3002\u901a\u8fc7\u719f\u7ec3\u638c\u63e1rename()<\/code>\u65b9\u6cd5\u3001\u76f4\u63a5\u8d4b\u503c\u548cset_axis()<\/code>\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u7075\u6d3b\u5730\u6839\u636e\u9700\u8981\u4fee\u6539\u5217\u540d\uff0c\u4ece\u800c\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u51c6\u786e\u6027\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u9700\u8981\u6839\u636e\u5177\u4f53\u573a\u666f\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u5e76\u6ce8\u610f\u5217\u540d\u7684\u552f\u4e00\u6027\u53ca\u64cd\u4f5c\u7684\u5185\u5b58\u5360\u7528\u3002\u719f\u6089\u8fd9\u4e9b\u6280\u5de7\u4e0d\u4ec5\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u7ba1\u7406\u6570\u636e\uff0c\u8fd8\u80fd\u4e3a\u540e\u7eed\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u6253\u4e0b\u575a\u5b9e\u7684\u57fa\u7840\u3002<\/p>\n<\/p>\n
          \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
           \u5982\u4f55\u5728Python\u4e2d\u91cd\u547d\u540dDataFrame\u7684\u5217\uff1f<\/strong>
          \u5728Python\u4e2d\u4f7f\u7528Pandas\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7rename()<\/code>\u51fd\u6570\u8f7b\u677e\u91cd\u547d\u540dDataFrame\u7684\u5217\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u6709\u4e00\u4e2aDataFrame\u540d\u4e3adf<\/code>\uff0c\u5e76\u5e0c\u671b\u5c06\u5217\u540d'old_name'\u6539\u4e3a'new_name'\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a  <\/p>\n
          df.rename(columns={'old_name': 'new_name'}, inplace=True)\n<\/code><\/pre>\n
          \u8fd9\u5c06\u76f4\u63a5\u5728\u539f\u59cbDataFrame\u4e2d\u8fdb\u884c\u4fee\u6539\uff0c\u800c\u65e0\u9700\u521b\u5efa\u65b0\u7684\u526f\u672c\u3002<\/p>\n
          \u5728Python\u4e2d\u5982\u4f55\u6dfb\u52a0\u65b0\u5217\u5230\u73b0\u6709DataFrame\uff1f<\/strong>
          \u8981\u5728Python\u7684DataFrame\u4e2d\u6dfb\u52a0\u65b0\u5217\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\u8d4b\u503c\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u60f3\u4e3aDataFrame df<\/code> \u6dfb\u52a0\u4e00\u4e2a\u540d\u4e3a'new_column'\u7684\u65b0\u5217\uff0c\u5e76\u4e14\u8ba9\u5b83\u7684\u6240\u6709\u503c\u4e3a0\uff0c\u53ef\u4ee5\u8fd9\u6837\u505a\uff1a  <\/p>\n
          df['new_column'] = 0\n<\/code><\/pre>\n
          \u8fd9\u5c06\u521b\u5efa\u4e00\u4e2a\u65b0\u5217\uff0c\u5e76\u5c06\u6240\u6709\u884c\u7684\u503c\u8bbe\u7f6e\u4e3a0\u3002<\/p>\n
          \u5982\u4f55\u5728Python\u4e2d\u5220\u9664DataFrame\u7684\u67d0\u4e00\u5217\uff1f<\/strong>
          \u5220\u9664DataFrame\u7684\u67d0\u4e00\u5217\u540c\u6837\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u7684drop()<\/code>\u51fd\u6570\u3002\u5982\u679c\u4f60\u60f3\u5220\u9664\u540d\u4e3a'column_to_remove'\u7684\u5217\uff0c\u53ef\u4ee5\u8fd9\u6837\u505a\uff1a  <\/p>\n
          df.drop(columns=['column_to_remove'], inplace=True)\n<\/code><\/pre>\n
          \u4f7f\u7528inplace=True<\/code>\u53c2\u6570\u786e\u4fdd\u4fee\u6539\u76f4\u63a5\u5e94\u7528\u4e8e\u539f\u59cbDataFrame\uff0c\u800c\u4e0d\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u526f\u672c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5f00\u5934\u6bb5\u843d\uff1a\u5728Python\u4e2d\u4fee\u6539DataFrame\u7684\u5217\u540d\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u4e2d\u7684rename()\u65b9\u6cd5\u3001\u76f4\u63a5\u8d4b\u503c […]","protected":false},"author":3,"featured_media":950123,"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\/950122"}],"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=950122"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/950122\/revisions"}],"predecessor-version":[{"id":950124,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/950122\/revisions\/950124"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/950123"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=950122"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=950122"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=950122"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}