{"id":947933,"date":"2024-12-26T23:58:46","date_gmt":"2024-12-26T15:58:46","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/947933.html"},"modified":"2024-12-26T23:58:48","modified_gmt":"2024-12-26T15:58:48","slug":"python%e5%a6%82%e4%bd%95%e7%bb%9f%e8%ae%a1excel","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/947933.html","title":{"rendered":"python\u5982\u4f55\u7edf\u8ba1excel"},"content":{"rendered":"

\"python\u5982\u4f55\u7edf\u8ba1excel\"<\/p>\n

\u5f00\u5934\u6bb5\u843d\uff1a
Python\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u7edf\u8ba1Excel\u6570\u636e\u3001Pandas\u5e93\u662f\u5904\u7406Excel\u6570\u636e\u7684\u5f3a\u5927\u5de5\u5177\u3001\u4f7f\u7528openpyxl\u5e93\u53ef\u4ee5\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\u3001xlrd\u548cxlwt\u5e93\u4e5f\u63d0\u4f9b\u4e86\u5904\u7406Excel\u7684\u57fa\u672c\u529f\u80fd<\/strong>\u3002\u5728\u8fd9\u4e9b\u65b9\u6cd5\u4e2d\uff0cPandas\u5e93\u56e0\u5176\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u548c\u7b80\u6d01\u7684\u8bed\u6cd5\uff0c\u662f\u6700\u53d7\u6b22\u8fce\u7684\u9009\u62e9\u4e4b\u4e00\u3002Pandas\u63d0\u4f9b\u4e86\u4e00\u79cd\u9ad8\u6548\u7684\u65b9\u5f0f\u6765\u8bfb\u53d6Excel\u6570\u636e\uff0c\u5e76\u901a\u8fc7DataFrame\u7684\u5404\u79cd\u65b9\u6cd5\u6765\u7edf\u8ba1\u548c\u5206\u6790\u6570\u636e\u3002\u901a\u8fc7Pandas\uff0c\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u5730\u8fdb\u884c\u6570\u636e\u8fc7\u6ee4\u3001\u805a\u5408\u3001\u5206\u7ec4\u7b49\u64cd\u4f5c\uff0c\u4ece\u800c\u5feb\u901f\u5f97\u5230\u6240\u9700\u7684\u7edf\u8ba1\u7ed3\u679c\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u6df1\u5165\u63a2\u8ba8\u5982\u4f55\u4f7f\u7528Python\u53ca\u5176\u76f8\u5173\u5e93\u6765\u7edf\u8ba1Excel\u6570\u636e\u3002<\/p>\n<\/p>\n

\u4e00\u3001PANDAS\u5e93\u7684\u4f7f\u7528<\/p>\n<\/p>\n

Pandas\u662fPython\u4e2d\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u5b83\u53ef\u4ee5\u8f7b\u677e\u5904\u7406Excel\u6587\u4ef6\u3002\u5b83\u7684\u6838\u5fc3\u6570\u636e\u7ed3\u6784\u662fDataFrame\uff0c\u8fd9\u662f\u4e00\u79cd\u7c7b\u4f3c\u4e8e\u7535\u5b50\u8868\u683c\u7684\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u5bb9\u7eb3\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\u3002\u901a\u8fc7Pandas\u5e93\uff0c\u60a8\u53ef\u4ee5\u8bfb\u53d6\u3001\u5904\u7406\u548c\u5206\u6790Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n

    \n
  1. \u8bfb\u53d6Excel\u6587\u4ef6<\/li>\n<\/ol>\n

    \u8981\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5Pandas\u5e93\u548copenpyxl\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

    pip install pandas openpyxl<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528pandas.read_excel()<\/code>\u51fd\u6570\u6765\u8bfb\u53d6Excel\u6587\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    \u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
    df = pd.read_excel('example.xlsx')<\/p>\n
    \u663e\u793a\u6570\u636e\u6846\u7684\u524d\u51e0\u884c<\/strong><\/h2>\n
    print(df.head())<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6bb5\u4ee3\u7801\u5c06\u8bfb\u53d6\u6587\u4ef6\u540d\u4e3aexample.xlsx<\/code>\u7684Excel\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728DataFrame\u5bf9\u8c61df<\/code>\u4e2d\u3002\u7136\u540e\uff0cdf.head()<\/code>\u51fd\u6570\u5c06\u663e\u793aDataFrame\u7684\u524d\u4e94\u884c\u6570\u636e\u3002<\/p>\n<\/p>\n
      \n
    1. \u6570\u636e\u5904\u7406\u4e0e\u7edf\u8ba1<\/li>\n<\/ol>\n
      \u8bfb\u53d6\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u63d0\u4f9b\u7684\u591a\u79cd\u65b9\u6cd5\u5bf9\u6570\u636e\u8fdb\u884c\u5904\u7406\u548c\u7edf\u8ba1\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528DataFrame.describe()<\/code>\u65b9\u6cd5\u6765\u83b7\u53d6\u6570\u636e\u7684\u57fa\u672c\u7edf\u8ba1\u4fe1\u606f\uff1a<\/p>\n<\/p>\n
      # \u83b7\u53d6\u57fa\u672c\u7edf\u8ba1\u4fe1\u606f<\/p>\n
      print(df.describe())<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      describe()<\/code>\u65b9\u6cd5\u5c06\u8fd4\u56de\u6570\u636e\u7684\u8ba1\u6570\u3001\u5747\u503c\u3001\u6807\u51c6\u5dee\u3001\u6700\u5c0f\u503c\u300125%\u5206\u4f4d\u6570\u3001\u4e2d\u4f4d\u6570\uff0850%\u5206\u4f4d\u6570\uff09\u300175%\u5206\u4f4d\u6570\u548c\u6700\u5927\u503c\u7b49\u4fe1\u606f\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001\u4f7f\u7528OPENPYXL\u5e93<\/p>\n<\/p>\n
      openpyxl\u5e93\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165Excel 2010 xlsx\/xlsm\/xltx\/xltm\u6587\u4ef6\u3002\u5b83\u975e\u5e38\u9002\u5408\u9700\u8981\u76f4\u63a5\u8bbf\u95eeExcel\u6587\u4ef6\u4e2d\u5404\u4e2a\u5355\u5143\u683c\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
        \n
      1. \u8bfb\u53d6Excel\u6587\u4ef6<\/li>\n<\/ol>\n
        \u9996\u5148\uff0c\u5b89\u88c5openpyxl\u5e93\uff1a<\/p>\n<\/p>\n
        pip install openpyxl<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u7136\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528openpyxl\u6765\u8bfb\u53d6Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
        from openpyxl import load_workbook<\/p>\n
        \u52a0\u8f7d\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
        wb = load_workbook('example.xlsx')<\/p>\n
        \u83b7\u53d6\u6d3b\u52a8\u5de5\u4f5c\u8868<\/strong><\/h2>\n
        ws = wb.active<\/p>\n
        \u8bfb\u53d6\u5355\u5143\u683c\u6570\u636e<\/strong><\/h2>\n
        for row in ws.iter_rows(values_only=True):<\/p>\n
            print(row)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fd9\u6bb5\u4ee3\u7801\u5c06\u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u8f93\u51fa\u6bcf\u4e00\u884c\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
          \n
        1. \u5199\u5165Excel\u6587\u4ef6<\/li>\n<\/ol>\n
          openpyxl\u4e5f\u53ef\u4ee5\u7528\u4e8e\u5c06\u6570\u636e\u5199\u5165Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
          from openpyxl import Workbook<\/p>\n
          \u521b\u5efa\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
          wb = Workbook()<\/p>\n
          \u83b7\u53d6\u6d3b\u52a8\u5de5\u4f5c\u8868<\/strong><\/h2>\n
          ws = wb.active<\/p>\n
          \u5199\u5165\u6570\u636e<\/strong><\/h2>\n
          ws['A1'] = 'Hello'<\/p>\n
          ws['B1'] = 'World'<\/p>\n
          \u4fdd\u5b58\u6587\u4ef6<\/strong><\/h2>\n
          wb.save('output.xlsx')<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u8fd9\u6bb5\u4ee3\u7801\u5c06\u5728\u65b0\u521b\u5efa\u7684Excel\u6587\u4ef6\u4e2d\u5199\u5165\u6570\u636e\u201cHello World\u201d\u3002<\/p>\n<\/p>\n
          \u4e09\u3001XLWT\u548cXLRD\u5e93\u7684\u4f7f\u7528<\/p>\n<\/p>\n
          xlrd\u548cxlwt\u5e93\u662f\u65e9\u671f\u7528\u4e8e\u5904\u7406Excel\u6587\u4ef6\u7684\u5e93\u3002xlrd\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u800cxlwt\u7528\u4e8e\u5199\u5165Excel\u6587\u4ef6\u3002\u5c3d\u7ba1\u8fd9\u4e9b\u5e93\u529f\u80fd\u6709\u9650\uff0c\u4f46\u5bf9\u4e8e\u7b80\u5355\u7684\u8bfb\u53d6\u548c\u5199\u5165\u4efb\u52a1\u4ecd\u7136\u6709\u6548\u3002<\/p>\n<\/p>\n
            \n
          1. \u8bfb\u53d6Excel\u6587\u4ef6<\/li>\n<\/ol>\n
            \u9996\u5148\uff0c\u5b89\u88c5xlrd\u5e93\uff1a<\/p>\n<\/p>\n
            pip install xlrd<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u7136\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528xlrd\u5e93\u6765\u8bfb\u53d6Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
            import xlrd<\/p>\n
            \u6253\u5f00\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
            wb = xlrd.open_workbook('example.xlsx')<\/p>\n
            \u83b7\u53d6\u5de5\u4f5c\u8868<\/strong><\/h2>\n
            sheet = wb.sheet_by_index(0)<\/p>\n
            \u8bfb\u53d6\u5355\u5143\u683c\u6570\u636e<\/strong><\/h2>\n
            for row_idx in range(sheet.nrows):<\/p>\n
                row = sheet.row(row_idx)<\/p>\n
                print(row)<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u8fd9\u6bb5\u4ee3\u7801\u5c06\u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u8f93\u51fa\u6bcf\u4e00\u884c\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
              \n
            1. \u5199\u5165Excel\u6587\u4ef6<\/li>\n<\/ol>\n
              \u8981\u5199\u5165Excel\u6587\u4ef6\uff0c\u60a8\u9700\u8981\u5b89\u88c5xlwt\u5e93\uff1a<\/p>\n<\/p>\n
              pip install xlwt<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u7136\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528xlwt\u5e93\u6765\u5199\u5165Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
              import xlwt<\/p>\n
              \u521b\u5efa\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
              wb = xlwt.Workbook()<\/p>\n
              \u6dfb\u52a0\u5de5\u4f5c\u8868<\/strong><\/h2>\n
              ws = wb.add_sheet('Sheet1')<\/p>\n
              \u5199\u5165\u6570\u636e<\/strong><\/h2>\n
              ws.write(0, 0, 'Hello')<\/p>\n
              ws.write(0, 1, 'World')<\/p>\n
              \u4fdd\u5b58\u6587\u4ef6<\/strong><\/h2>\n
              wb.save('output.xls')<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u8fd9\u6bb5\u4ee3\u7801\u5c06\u5728\u65b0\u521b\u5efa\u7684Excel\u6587\u4ef6\u4e2d\u5199\u5165\u6570\u636e\u201cHello World\u201d\u3002<\/p>\n<\/p>\n
              \u56db\u3001\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316<\/p>\n<\/p>\n
              \u5728\u5bf9Excel\u6570\u636e\u8fdb\u884c\u7edf\u8ba1\u540e\uff0c\u60a8\u53ef\u80fd\u9700\u8981\u8fdb\u4e00\u6b65\u5206\u6790\u548c\u53ef\u89c6\u5316\u6570\u636e\u3002Python\u63d0\u4f9b\u4e86\u591a\u4e2a\u5e93\u6765\u5b9e\u73b0\u8fd9\u4e9b\u529f\u80fd\uff0c\u5305\u62ecmatplotlib\u548cseaborn\u3002<\/p>\n<\/p>\n
                \n
              1. \u4f7f\u7528Matplotlib\u8fdb\u884c\u53ef\u89c6\u5316<\/li>\n<\/ol>\n
                Matplotlib\u662fPython\u4e2d\u6700\u6d41\u884c\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\u4e4b\u4e00\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528\u5b83\u6765\u521b\u5efa\u5404\u79cd\u56fe\u8868\uff0c\u5982\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u997c\u56fe\u7b49\u3002<\/p>\n<\/p>\n
                \u9996\u5148\uff0c\u5b89\u88c5matplotlib\u5e93\uff1a<\/p>\n<\/p>\n
                pip install matplotlib<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u7136\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528matplotlib\u5e93\u6765\u7ed8\u5236\u56fe\u8868\uff1a<\/p>\n<\/p>\n
                import matplotlib.pyplot as plt<\/p>\n
                \u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
                data = [23, 45, 56, 78, 213]<\/p>\n
                \u521b\u5efa\u67f1\u72b6\u56fe<\/strong><\/h2>\n
                plt.bar(range(len(data)), data)<\/p>\n
                \u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
                plt.show()<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u8fd9\u6bb5\u4ee3\u7801\u5c06\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u67f1\u72b6\u56fe\u3002<\/p>\n<\/p>\n
                  \n
                1. \u4f7f\u7528Seaborn\u8fdb\u884c\u9ad8\u7ea7\u53ef\u89c6\u5316<\/li>\n<\/ol>\n
                  Seaborn\u662f\u57fa\u4e8ematplotlib\u6784\u5efa\u7684\u9ad8\u7ea7\u53ef\u89c6\u5316\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e9b\u66f4\u9ad8\u7ea7\u7684\u529f\u80fd\u548c\u7f8e\u89c2\u7684\u9ed8\u8ba4\u6837\u5f0f\u3002<\/p>\n<\/p>\n
                  \u9996\u5148\uff0c\u5b89\u88c5seaborn\u5e93\uff1a<\/p>\n<\/p>\n
                  pip install seaborn<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u7136\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528seaborn\u5e93\u6765\u521b\u5efa\u66f4\u9ad8\u7ea7\u7684\u56fe\u8868\uff1a<\/p>\n<\/p>\n
                  import seaborn as sns<\/p>\n
                  \u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
                  data = sns.load_dataset('iris')<\/p>\n
                  \u521b\u5efa\u6563\u70b9\u56fe<\/strong><\/h2>\n
                  sns.scatterplot(x='sepal_length', y='sepal_width', data=data)<\/p>\n
                  \u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
                  plt.show()<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u8fd9\u6bb5\u4ee3\u7801\u5c06\u521b\u5efa\u4e00\u4e2a\u6563\u70b9\u56fe\uff0c\u5c55\u793a\u9e22\u5c3e\u82b1\u6570\u636e\u96c6\u4e2d\u7684\u4e24\u4e2a\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/p>\n<\/p>\n
                  \u4e94\u3001\u603b\u7ed3<\/p>\n<\/p>\n
                  Python\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u7edf\u8ba1\u548c\u5206\u6790Excel\u6570\u636e\uff0c\u5305\u62ecPandas\u3001openpyxl\u3001xlrd\u548cxlwt\u7b49\u5e93\u3002Pandas\u56e0\u5176\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u548c\u7b80\u6d01\u7684\u8bed\u6cd5\uff0c\u662f\u6700\u53d7\u6b22\u8fce\u7684\u9009\u62e9\u3002\u901a\u8fc7\u4f7f\u7528\u8fd9\u4e9b\u5e93\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6\u3001\u5904\u7406\u548c\u5206\u6790Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002\u6b64\u5916\uff0c\u60a8\u8fd8\u53ef\u4ee5\u4f7f\u7528matplotlib\u548cseaborn\u7b49\u5e93\u6765\u5bf9\u6570\u636e\u8fdb\u884c\u53ef\u89c6\u5316\uff0c\u4ece\u800c\u66f4\u76f4\u89c2\u5730\u7406\u89e3\u6570\u636e\u3002\u901a\u8fc7\u7075\u6d3b\u8fd0\u7528\u8fd9\u4e9b\u5de5\u5177\uff0c\u60a8\u53ef\u4ee5\u66f4\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u636e\u7edf\u8ba1\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
                  \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                   \u5982\u4f55\u4f7f\u7528Python\u8bfb\u53d6Excel\u6587\u4ef6\uff1f<\/strong>
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