{"id":1168043,"date":"2025-01-15T15:53:07","date_gmt":"2025-01-15T07:53:07","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1168043.html"},"modified":"2025-01-15T15:53:10","modified_gmt":"2025-01-15T07:53:10","slug":"python%e5%a6%82%e4%bd%95%e6%8a%93%e5%8f%96excel%e7%9a%84%e6%97%a5%e6%9c%9f","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1168043.html","title":{"rendered":"python\u5982\u4f55\u6293\u53d6excel\u7684\u65e5\u671f"},"content":{"rendered":"

\"python\u5982\u4f55\u6293\u53d6excel\u7684\u65e5\u671f\"<\/p>\n

Python\u53ef\u4ee5\u901a\u8fc7\u591a\u4e2a\u5e93\u6765\u6293\u53d6Excel\u4e2d\u7684\u65e5\u671f\u6570\u636e\uff0c\u4f8b\u5982pandas\u3001openpyxl\u3001xlrd\u7b49\u3002\u4f7f\u7528pandas\u5e93\u7684read_excel\u51fd\u6570\u3001openpyxl\u5e93\u7684load_workbook\u51fd\u6570\u7b49\u65b9\u6cd5\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u53d6Excel\u4e2d\u7684\u65e5\u671f\u6570\u636e\u3002\u8fd9\u91cc\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528pandas\u5e93\u6765\u6293\u53d6Excel\u4e2d\u7684\u65e5\u671f\u6570\u636e\u3002<\/strong><\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528Pandas\u8bfb\u53d6Excel\u65e5\u671f\u6570\u636e<\/p>\n<\/p>\n

Pandas\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u5f88\u591a\u65b9\u4fbf\u7684\u6570\u636e\u8bfb\u53d6\u548c\u5904\u7406\u529f\u80fd\u3002\u8981\u8bfb\u53d6Excel\u4e2d\u7684\u65e5\u671f\u6570\u636e\uff0c\u6211\u4eec\u9996\u5148\u9700\u8981\u5b89\u88c5pandas\u5e93\u4ee5\u53ca\u5b83\u7684\u4f9d\u8d56\u5e93openpyxl\u3002<\/p>\n<\/p>\n

pip install pandas openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
    \n
  1. \u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n
    \u9996\u5148\uff0c\u6211\u4eec\u4f7f\u7528pandas\u7684read_excel\u51fd\u6570\u6765\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002read_excel\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6307\u5b9a\u5de5\u4f5c\u8868\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\u683c\u5f0f\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    \u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
    df = pd.read_excel('sample.xlsx', sheet_name='Sheet1')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u67e5\u770b\u6570\u636e\u7c7b\u578b<\/strong><\/li>\n<\/ol>\n
      \u8bfb\u53d6\u6570\u636e\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528dtypes\u5c5e\u6027\u6765\u67e5\u770b\u5404\u5217\u7684\u6570\u636e\u7c7b\u578b\uff0c\u4ee5\u786e\u4fdd\u65e5\u671f\u5217\u88ab\u6b63\u786e\u8bc6\u522b\u4e3a\u65e5\u671f\u7c7b\u578b\u3002<\/p>\n<\/p>\n
      print(df.dtypes)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5982\u679c\u65e5\u671f\u5217\u6ca1\u6709\u88ab\u6b63\u786e\u8bc6\u522b\u4e3a\u65e5\u671f\u7c7b\u578b\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528to_datetime\u51fd\u6570\u8fdb\u884c\u8f6c\u6362\u3002<\/p>\n<\/p>\n
      # \u5c06\u65e5\u671f\u5217\u8f6c\u6362\u4e3a\u65e5\u671f\u7c7b\u578b<\/p>\n
      df['\u65e5\u671f\u5217'] = pd.to_datetime(df['\u65e5\u671f\u5217'])<\/p>\n
      <\/code><\/pre>\n<\/p>\n
        \n
      1. \u8bbf\u95ee\u65e5\u671f\u5217<\/strong><\/li>\n<\/ol>\n
        \u8bfb\u53d6\u5e76\u8f6c\u6362\u65e5\u671f\u6570\u636e\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u8bbf\u95ee\u65e5\u671f\u5217\u6765\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u63d0\u53d6\u5e74\u4efd\u3001\u6708\u4efd\u548c\u65e5\u671f\u7b49\u4fe1\u606f\u3002<\/p>\n<\/p>\n
        # \u63d0\u53d6\u5e74\u4efd\u3001\u6708\u4efd\u548c\u65e5\u671f<\/p>\n
        df['\u5e74\u4efd'] = df['\u65e5\u671f\u5217'].dt.year<\/p>\n
        df['\u6708\u4efd'] = df['\u65e5\u671f\u5217'].dt.month<\/p>\n
        df['\u65e5\u671f'] = df['\u65e5\u671f\u5217'].dt.day<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4e8c\u3001\u4f7f\u7528Openpyxl\u8bfb\u53d6Excel\u65e5\u671f\u6570\u636e<\/p>\n<\/p>\n
        Openpyxl\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u5199Excel 2010 xlsx\/xlsm\/xltx\/xltm\u6587\u4ef6\u7684\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u7075\u6d3b\u6027\uff0c\u53ef\u4ee5\u76f4\u63a5\u8bbf\u95ee\u548c\u64cd\u4f5cExcel\u6587\u4ef6\u4e2d\u7684\u5355\u5143\u683c\u3002<\/p>\n<\/p>\n
          \n
        1. \u5b89\u88c5Openpyxl<\/strong><\/li>\n<\/ol>\n
          \u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5openpyxl\u5e93\u3002<\/p>\n<\/p>\n
          pip install openpyxl<\/p>\n
          <\/code><\/pre>\n<\/p>\n
            \n
          1. \u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n
            \u4f7f\u7528openpyxl\u7684load_workbook\u51fd\u6570\u6765\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u5e76\u83b7\u53d6\u6307\u5b9a\u5de5\u4f5c\u8868\u3002<\/p>\n<\/p>\n
            from openpyxl import load_workbook<\/p>\n
            \u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
            wb = load_workbook('sample.xlsx')<\/p>\n
            ws = wb['Sheet1']<\/p>\n
            <\/code><\/pre>\n<\/p>\n
              \n
            1. \u8bbf\u95ee\u65e5\u671f\u5355\u5143\u683c<\/strong><\/li>\n<\/ol>\n
              \u901a\u8fc7\u8bbf\u95ee\u5de5\u4f5c\u8868\u4e2d\u7684\u5355\u5143\u683c\uff0c\u6211\u4eec\u53ef\u4ee5\u8bfb\u53d6\u65e5\u671f\u6570\u636e\u3002openpyxl\u4f1a\u81ea\u52a8\u8bc6\u522b\u65e5\u671f\u683c\u5f0f\u3002<\/p>\n<\/p>\n
              # \u8bbf\u95ee\u65e5\u671f\u5355\u5143\u683c<\/p>\n
              date_cell = ws['A1']<\/p>\n
              print(date_cell.value)<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u4e09\u3001\u4f7f\u7528Xlrd\u8bfb\u53d6Excel\u65e5\u671f\u6570\u636e<\/p>\n<\/p>\n
              Xlrd\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u5e93\uff0c\u7279\u522b\u9002\u7528\u4e8eExcel 2003\u683c\u5f0f\uff08.xls\uff09\u6587\u4ef6\u3002\u5bf9\u4e8eExcel 2007\u53ca\u4ee5\u4e0a\u683c\u5f0f\uff08.xlsx\uff09\uff0c\u5efa\u8bae\u4f7f\u7528openpyxl\u3002<\/p>\n<\/p>\n
                \n
              1. \u5b89\u88c5Xlrd<\/strong><\/li>\n<\/ol>\n
                \u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5xlrd\u5e93\u3002<\/p>\n<\/p>\n
                pip install xlrd<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                  \n
                1. \u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n
                  \u4f7f\u7528xlrd\u7684open_workbook\u51fd\u6570\u6765\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u5e76\u83b7\u53d6\u6307\u5b9a\u5de5\u4f5c\u8868\u3002<\/p>\n<\/p>\n
                  import xlrd<\/p>\n
                  \u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
                  workbook = xlrd.open_workbook('sample.xls')<\/p>\n
                  sheet = workbook.sheet_by_name('Sheet1')<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                    \n
                  1. \u8bbf\u95ee\u65e5\u671f\u5355\u5143\u683c<\/strong><\/li>\n<\/ol>\n
                    \u901a\u8fc7\u8bbf\u95ee\u5de5\u4f5c\u8868\u4e2d\u7684\u5355\u5143\u683c\uff0c\u6211\u4eec\u53ef\u4ee5\u8bfb\u53d6\u65e5\u671f\u6570\u636e\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0cxlrd\u4e0d\u4f1a\u81ea\u52a8\u8bc6\u522b\u65e5\u671f\u683c\u5f0f\uff0c\u9700\u8981\u624b\u52a8\u8fdb\u884c\u8f6c\u6362\u3002<\/p>\n<\/p>\n
                    # \u8bbf\u95ee\u65e5\u671f\u5355\u5143\u683c<\/p>\n
                    date_value = sheet.cell_value(rowx=0, colx=0)<\/p>\n
                    \u8f6c\u6362\u4e3a\u65e5\u671f\u683c\u5f0f<\/strong><\/h2>\n
                    date_tuple = xlrd.xldate_as_tuple(date_value, workbook.datemode)<\/p>\n
                    print(date_tuple)<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                    \u56db\u3001\u5b9e\u4f8b\u5e94\u7528<\/p>\n<\/p>\n
                      \n
                    1. \u7edf\u8ba1\u65e5\u671f\u6570\u636e<\/strong><\/li>\n<\/ol>\n
                      \u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u8bfb\u53d6\u7684\u65e5\u671f\u6570\u636e\u6765\u8fdb\u884c\u4e00\u4e9b\u7edf\u8ba1\u5206\u6790\u3002\u4f8b\u5982\uff0c\u7edf\u8ba1\u6bcf\u4e2a\u6708\u7684\u6570\u636e\u91cf\u3002<\/p>\n<\/p>\n
                      # \u7edf\u8ba1\u6bcf\u4e2a\u6708\u7684\u6570\u636e\u91cf<\/p>\n
                      monthly_data = df['\u65e5\u671f\u5217'].groupby(df['\u65e5\u671f\u5217'].dt.to_period('M')).count()<\/p>\n
                      print(monthly_data)<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                        \n
                      1. \u7ed8\u5236\u65e5\u671f\u6570\u636e<\/strong><\/li>\n<\/ol>\n
                        \u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528matplotlib\u5e93\u6765\u7ed8\u5236\u65e5\u671f\u6570\u636e\u7684\u56fe\u8868\u3002<\/p>\n<\/p>\n
                        import matplotlib.pyplot as plt<\/p>\n
                        \u7ed8\u5236\u65e5\u671f\u6570\u636e\u7684\u6298\u7ebf\u56fe<\/strong><\/h2>\n
                        plt.figure(figsize=(10, 5))<\/p>\n
                        plt.plot(df['\u65e5\u671f\u5217'], df['\u6570\u636e\u5217'])<\/p>\n
                        plt.xlabel('\u65e5\u671f')<\/p>\n
                        plt.ylabel('\u6570\u636e')<\/p>\n
                        plt.title('\u65e5\u671f\u6570\u636e\u6298\u7ebf\u56fe')<\/p>\n
                        plt.grid()<\/p>\n
                        plt.show()<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                        \u4e94\u3001\u5904\u7406\u591a\u5f20\u5de5\u4f5c\u8868<\/p>\n<\/p>\n
                        \u6709\u65f6\u5019\u6211\u4eec\u9700\u8981\u5904\u7406Excel\u6587\u4ef6\u4e2d\u7684\u591a\u5f20\u5de5\u4f5c\u8868\u3002Pandas\u7684read_excel\u51fd\u6570\u652f\u6301\u8bfb\u53d6\u591a\u5f20\u5de5\u4f5c\u8868\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u4e00\u4e2a\u5305\u542b\u591a\u4e2aDataFrame\u7684\u5b57\u5178\u3002<\/p>\n<\/p>\n
                        # \u8bfb\u53d6\u591a\u5f20\u5de5\u4f5c\u8868<\/p>\n
                        sheets = pd.read_excel('sample.xlsx', sheet_name=None)<\/p>\n
                        \u904d\u5386\u5de5\u4f5c\u8868\u5b57\u5178<\/strong><\/h2>\n
                        for sheet_name, sheet_data in sheets.items():<\/p>\n
                            print(f'\u5de5\u4f5c\u8868: {sheet_name}')<\/p>\n
                            print(sheet_data.head())<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                        \u516d\u3001\u5199\u56deExcel\u6587\u4ef6<\/p>\n<\/p>\n
                        \u5728\u5904\u7406\u5b8cExcel\u6570\u636e\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528pandas\u7684to_excel\u51fd\u6570\u5c06DataFrame\u5199\u56de\u5230Excel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
                        # \u5199\u56deExcel\u6587\u4ef6<\/p>\n
                        df.to_excel('output.xlsx', sheet_name='Sheet1', index=False)<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                        \u4e03\u3001\u5904\u7406\u5927\u578bExcel\u6587\u4ef6<\/p>\n<\/p>\n
                        \u5bf9\u4e8e\u5927\u578bExcel\u6587\u4ef6\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528chunksize\u53c2\u6570\u6765\u5206\u5757\u8bfb\u53d6\u6570\u636e\uff0c\u4ee5\u51cf\u5c11\u5185\u5b58\u6d88\u8017\u3002<\/p>\n<\/p>\n
                        # \u5206\u5757\u8bfb\u53d6Excel\u6587\u4ef6<\/p>\n
                        for chunk in pd.read_excel('large_sample.xlsx', sheet_name='Sheet1', chunksize=1000):<\/p>\n
                            print(chunk.head())<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                        \u516b\u3001\u5904\u7406\u65e5\u671f\u683c\u5f0f\u4e0d\u7edf\u4e00\u7684\u6570\u636e<\/p>\n<\/p>\n
                        \u5728\u5b9e\u9645\u5de5\u4f5c\u4e2d\uff0cExcel\u6587\u4ef6\u4e2d\u7684\u65e5\u671f\u683c\u5f0f\u53ef\u80fd\u4e0d\u7edf\u4e00\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u6216\u65e5\u671f\u89e3\u6790\u5e93\u6765\u5904\u7406\u8fd9\u4e9b\u4e0d\u7edf\u4e00\u7684\u65e5\u671f\u683c\u5f0f\u3002<\/p>\n<\/p>\n
                        from dateutil import parser<\/p>\n
                        \u5904\u7406\u4e0d\u7edf\u4e00\u7684\u65e5\u671f\u683c\u5f0f<\/strong><\/h2>\n
                        df['\u65e5\u671f\u5217'] = df['\u65e5\u671f\u5217'].apply(lambda x: parser.parse(str(x)))<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                        \u603b\u4e4b\uff0cPython\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u6293\u53d6Excel\u4e2d\u7684\u65e5\u671f\u6570\u636e\u3002\u65e0\u8bba\u662f\u4f7f\u7528pandas\u3001openpyxl\u8fd8\u662fxlrd\uff0c\u6211\u4eec\u90fd\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u53d6\u548c\u5904\u7406Excel\u4e2d\u7684\u65e5\u671f\u6570\u636e\uff0c\u5e76\u8fdb\u884c\u5404\u79cd\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u64cd\u4f5c\u3002\u5e0c\u671b\u901a\u8fc7\u672c\u6587\u7684\u8be6\u7ec6\u4ecb\u7ecd\uff0c\u80fd\u591f\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u638c\u63e1\u8fd9\u4e9b\u6280\u672f\u3002<\/p>\n<\/p>\n
                        \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                         \u5982\u4f55\u4f7f\u7528Python\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u65e5\u671f\u683c\u5f0f\uff1f<\/strong>
                        \u4f7f\u7528Python\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u65e5\u671f\u683c\u5f0f\u53ef\u4ee5\u901a\u8fc7pandas<\/code>\u5e93\u5b9e\u73b0\u3002\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86pandas<\/code>\u548copenpyxl<\/code>\u5e93\u3002\u4f7f\u7528pd.read_excel()<\/code>\u51fd\u6570\u65f6\uff0c\u53ef\u4ee5\u81ea\u52a8\u8bc6\u522b\u65e5\u671f\u683c\u5f0f\u3002\u8bfb\u53d6\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528pd.to_datetime()<\/code>\u51fd\u6570\u5c06\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u65e5\u671f\u5bf9\u8c61\uff0c\u4ee5\u4fbf\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n
                        \u5728\u6293\u53d6Excel\u65e5\u671f\u65f6\uff0c\u5982\u4f55\u5904\u7406\u4e0d\u540c\u7684\u65e5\u671f\u683c\u5f0f\uff1f<\/strong>
                        \u5728Excel\u6587\u4ef6\u4e2d\uff0c\u65e5\u671f\u683c\u5f0f\u53ef\u80fd\u4f1a\u6709\u6240\u4e0d\u540c\u3002\u4f7f\u7528pandas<\/code>\u5e93\u65f6\uff0cread_excel<\/code>\u51fd\u6570\u53ef\u4ee5\u8bc6\u522b\u591a\u79cd\u65e5\u671f\u683c\u5f0f\uff0c\u4f46\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u624b\u52a8\u6307\u5b9a\u683c\u5f0f\u3002\u4f7f\u7528pd.to_datetime()<\/code>\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7format<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u65e5\u671f\u7684\u683c\u5f0f\uff0c\u4f8b\u5982"%Y-%m-%d"<\/code>\uff0c\u4ee5\u786e\u4fdd\u6b63\u786e\u89e3\u6790\u65e5\u671f\u3002<\/p>\n
                        \u5982\u4f55\u4eceExcel\u4e2d\u63d0\u53d6\u7279\u5b9a\u65e5\u671f\u8303\u56f4\u7684\u6570\u636e\uff1f<\/strong>
                        \u63d0\u53d6\u7279\u5b9a\u65e5\u671f\u8303\u56f4\u7684\u6570\u636e\u53ef\u4ee5\u901a\u8fc7pandas<\/code>\u4e2d\u7684\u5e03\u5c14\u7d22\u5f15\u5b9e\u73b0\u3002\u5728\u8bfb\u53d6Excel\u6587\u4ef6\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u6761\u4ef6\u7b5b\u9009\uff0c\u4f8b\u5982df[(df['\u65e5\u671f\u5217'] >= '2023-01-01') & (df['\u65e5\u671f\u5217'] <= '2023-12-31')]<\/code>\uff0c\u8fd9\u6837\u53ef\u4ee5\u83b7\u53d6\u57282023\u5e74\u5185\u7684\u6240\u6709\u76f8\u5173\u6570\u636e\u3002\u786e\u4fdd\u65e5\u671f\u5217\u5df2\u7ecf\u88ab\u8f6c\u6362\u4e3a\u65e5\u671f\u683c\u5f0f\uff0c\u4ee5\u4fbf\u8fdb\u884c\u6709\u6548\u7684\u6bd4\u8f83\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u53ef\u4ee5\u901a\u8fc7\u591a\u4e2a\u5e93\u6765\u6293\u53d6Excel\u4e2d\u7684\u65e5\u671f\u6570\u636e\uff0c\u4f8b\u5982pandas\u3001openpyxl\u3001xlrd\u7b49\u3002\u4f7f\u7528p […]","protected":false},"author":3,"featured_media":1168049,"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\/1168043"}],"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=1168043"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1168043\/revisions"}],"predecessor-version":[{"id":1168053,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1168043\/revisions\/1168053"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1168049"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1168043"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1168043"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1168043"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}