{"id":1165633,"date":"2025-01-15T15:22:53","date_gmt":"2025-01-15T07:22:53","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1165633.html"},"modified":"2025-01-15T15:22:56","modified_gmt":"2025-01-15T07:22:56","slug":"python%e5%a6%82%e4%bd%95%e4%bf%9d%e5%ad%98excel%e6%96%b0%e5%bb%ba%e8%a1%a8","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1165633.html","title":{"rendered":"python\u5982\u4f55\u4fdd\u5b58excel\u65b0\u5efa\u8868"},"content":{"rendered":"

\"python\u5982\u4f55\u4fdd\u5b58excel\u65b0\u5efa\u8868\"<\/p>\n

\u4f7f\u7528Python\u4fdd\u5b58Excel\u65b0\u5efa\u8868\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u3001Openpyxl\u5e93\u6216XlsxWriter\u5e93\u3002<\/strong>\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u5e76\u63d0\u4f9b\u793a\u4f8b\u4ee3\u7801\u6765\u5c55\u793a\u5982\u4f55\u5b9e\u73b0\u3002\u4ee5\u4e0b\u662f\u4e09\u79cd\u5e38\u89c1\u65b9\u6cd5\u7684\u6982\u8ff0\uff1a<\/p>\n<\/p>\n

    \n
  1. Pandas\u5e93<\/strong>\uff1aPandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u63d0\u4f9b\u4e86\u65b9\u4fbf\u7684DataFrame\u7ed3\u6784\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u6570\u636e\u4fdd\u5b58\u5230Excel\u6587\u4ef6\u4e2d\u3002<\/li>\n
  2. Openpyxl\u5e93<\/strong>\uff1aOpenpyxl\u662f\u4e00\u4e2a\u4e13\u95e8\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\u7684\u5e93\uff0c\u53ef\u4ee5\u5904\u7406Excel 2010 xlsx\/xlsm\/xltx\/xltm\u6587\u4ef6\u3002<\/li>\n
  3. XlsxWriter\u5e93<\/strong>\uff1aXlsxWriter\u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efaExcel\u6587\u4ef6\u7684Python\u6a21\u5757\uff0c\u652f\u6301\u4e30\u5bcc\u7684Excel\u529f\u80fd\uff0c\u4f8b\u5982\u683c\u5f0f\u8bbe\u7f6e\u3001\u56fe\u8868\u7b49\u3002<\/li>\n<\/ol>\n

    \u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e09\u79cd\u65b9\u6cd5\uff0c\u5e76\u63d0\u4f9b\u4ee3\u7801\u793a\u4f8b\u3002<\/p>\n<\/p>\n

    \u4e00\u3001PANDAS\u5e93<\/strong><\/h2>\n

    Pandas\u5e93\u662f\u6570\u636e\u5206\u6790\u4e2d\u5e38\u7528\u7684\u5e93\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5904\u7406\u6570\u636e\u5e76\u5c06\u5176\u4fdd\u5b58\u5230Excel\u6587\u4ef6\u4e2d\u3002\u4f7f\u7528Pandas\u5e93\u4fdd\u5b58Excel\u6587\u4ef6\u7684\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

      \n
    1. \u5bfc\u5165Pandas\u5e93\u3002<\/li>\n
    2. \u521b\u5efa\u4e00\u4e2aDataFrame\u5bf9\u8c61\u3002<\/li>\n
    3. \u4f7f\u7528to_excel\u65b9\u6cd5\u5c06DataFrame\u5bf9\u8c61\u4fdd\u5b58\u5230Excel\u6587\u4ef6\u4e2d\u3002<\/li>\n<\/ol>\n

      import pandas as pd<\/p>\n
      \u521b\u5efa\u4e00\u4e2aDataFrame\u5bf9\u8c61<\/strong><\/h2>\n
      data = {<\/p>\n
          'Name': ['John', 'Anna', 'Peter', 'Linda'],<\/p>\n
          'Age': [28, 24, 35, 32],<\/p>\n
          'City': ['New York', 'Paris', 'Berlin', 'London']<\/p>\n
      }<\/p>\n
      df = pd.DataFrame(data)<\/p>\n
      \u5c06DataFrame\u5bf9\u8c61\u4fdd\u5b58\u5230Excel\u6587\u4ef6\u4e2d<\/strong><\/h2>\n
      df.to_excel('new_excel_file.xlsx', index=False)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86Pandas\u5e93\uff0c\u5e76\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u4e00\u4e9b\u793a\u4f8b\u6570\u636e\u7684DataFrame\u5bf9\u8c61\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528to_excel\u65b9\u6cd5\u5c06DataFrame\u5bf9\u8c61\u4fdd\u5b58\u5230\u540d\u4e3anew_excel_file.xlsx\u7684Excel\u6587\u4ef6\u4e2d\u3002index\u53c2\u6570\u8bbe\u7f6e\u4e3aFalse\u8868\u793a\u4e0d\u4fdd\u5b58DataFrame\u7684\u7d22\u5f15\u3002<\/p>\n<\/p>\n
      1.1 \u591a\u4e2a\u5de5\u4f5c\u8868<\/h3>\n<\/p>\n
      \u6709\u65f6\u6211\u4eec\u9700\u8981\u5c06\u591a\u4e2aDataFrame\u5bf9\u8c61\u4fdd\u5b58\u5230\u540c\u4e00\u4e2aExcel\u6587\u4ef6\u7684\u4e0d\u540c\u5de5\u4f5c\u8868\u4e2d\u3002Pandas\u5e93\u63d0\u4f9b\u4e86ExcelWriter\u7c7b\u6765\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002<\/p>\n<\/p>\n
      import pandas as pd<\/p>\n
      \u521b\u5efa\u4e24\u4e2aDataFrame\u5bf9\u8c61<\/strong><\/h2>\n
      data1 = {<\/p>\n
          'Name': ['John', 'Anna', 'Peter', 'Linda'],<\/p>\n
          'Age': [28, 24, 35, 32]<\/p>\n
      }<\/p>\n
      data2 = {<\/p>\n
          'City': ['New York', 'Paris', 'Berlin', 'London'],<\/p>\n
          'Country': ['USA', 'France', 'Germany', 'UK']<\/p>\n
      }<\/p>\n
      df1 = pd.DataFrame(data1)<\/p>\n
      df2 = pd.DataFrame(data2)<\/p>\n
      \u4f7f\u7528ExcelWriter\u7c7b\u5c06\u591a\u4e2aDataFrame\u5bf9\u8c61\u4fdd\u5b58\u5230\u540c\u4e00\u4e2aExcel\u6587\u4ef6\u7684\u4e0d\u540c\u5de5\u4f5c\u8868\u4e2d<\/strong><\/h2>\n
      with pd.ExcelWriter('multi_sheet_excel_file.xlsx') as writer:<\/p>\n
          df1.to_excel(writer, sheet_name='Sheet1', index=False)<\/p>\n
          df2.to_excel(writer, sheet_name='Sheet2', index=False)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e24\u4e2aDataFrame\u5bf9\u8c61\uff0c\u5e76\u4f7f\u7528ExcelWriter\u7c7b\u5c06\u5b83\u4eec\u5206\u522b\u4fdd\u5b58\u5230\u540d\u4e3amulti_sheet_excel_file.xlsx\u7684Excel\u6587\u4ef6\u7684Sheet1\u548cSheet2\u5de5\u4f5c\u8868\u4e2d\u3002<\/p>\n<\/p>\n
      1.2 \u683c\u5f0f\u8bbe\u7f6e<\/h3>\n<\/p>\n
      Pandas\u5e93\u8fd8\u5141\u8bb8\u6211\u4eec\u5728\u4fdd\u5b58Excel\u6587\u4ef6\u65f6\u8bbe\u7f6e\u683c\u5f0f\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u8bbe\u7f6e\u5217\u5bbd\u3001\u5355\u5143\u683c\u683c\u5f0f\u7b49\u3002<\/p>\n<\/p>\n
      import pandas as pd<\/p>\n
      \u521b\u5efa\u4e00\u4e2aDataFrame\u5bf9\u8c61<\/strong><\/h2>\n
      data = {<\/p>\n
          'Name': ['John', 'Anna', 'Peter', 'Linda'],<\/p>\n
          'Age': [28, 24, 35, 32],<\/p>\n
          'City': ['New York', 'Paris', 'Berlin', 'London']<\/p>\n
      }<\/p>\n
      df = pd.DataFrame(data)<\/p>\n
      \u4f7f\u7528ExcelWriter\u7c7b\u8bbe\u7f6e\u683c\u5f0f<\/strong><\/h2>\n
      with pd.ExcelWriter('formatted_excel_file.xlsx', engine='xlsxwriter') as writer:<\/p>\n
          df.to_excel(writer, sheet_name='Sheet1', index=False)<\/p>\n
          # \u83b7\u53d6XlsxWriter\u7684\u5de5\u4f5c\u7c3f\u548c\u5de5\u4f5c\u8868\u5bf9\u8c61<\/p>\n
          workbook = writer.book<\/p>\n
          worksheet = writer.sheets['Sheet1']<\/p>\n
          # \u8bbe\u7f6e\u5217\u5bbd<\/p>\n
          worksheet.set_column('A:A', 20)<\/p>\n
          worksheet.set_column('B:B', 10)<\/p>\n
          worksheet.set_column('C:C', 15)<\/p>\n
          # \u8bbe\u7f6e\u5355\u5143\u683c\u683c\u5f0f<\/p>\n
          cell_format = workbook.add_format({'bold': True, 'font_color': 'red'})<\/p>\n
          worksheet.write('A1', 'Name', cell_format)<\/p>\n
          worksheet.write('B1', 'Age', cell_format)<\/p>\n
          worksheet.write('C1', 'City', cell_format)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528ExcelWriter\u7c7b\u548cxlsxwriter\u5f15\u64ce\u5c06DataFrame\u5bf9\u8c61\u4fdd\u5b58\u5230Excel\u6587\u4ef6\u4e2d\uff0c\u5e76\u8bbe\u7f6e\u4e86\u5217\u5bbd\u548c\u5355\u5143\u683c\u683c\u5f0f\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001OPENPYXL\u5e93<\/strong><\/h2>\n
      Openpyxl\u5e93\u662f\u4e00\u4e2a\u4e13\u95e8\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\u7684\u5e93\uff0c\u53ef\u4ee5\u5904\u7406Excel 2010 xlsx\/xlsm\/xltx\/xltm\u6587\u4ef6\u3002\u4f7f\u7528Openpyxl\u5e93\u4fdd\u5b58Excel\u6587\u4ef6\u7684\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
        \n
      1. \u5bfc\u5165Openpyxl\u5e93\u3002<\/li>\n
      2. \u521b\u5efa\u4e00\u4e2aWorkbook\u5bf9\u8c61\u3002<\/li>\n
      3. \u521b\u5efa\u4e00\u4e2aWorksheet\u5bf9\u8c61\u3002<\/li>\n
      4. \u5c06\u6570\u636e\u5199\u5165Worksheet\u5bf9\u8c61\u3002<\/li>\n
      5. \u4fdd\u5b58Workbook\u5bf9\u8c61\u5230Excel\u6587\u4ef6\u4e2d\u3002<\/li>\n<\/ol>\n
        from openpyxl import Workbook<\/p>\n
        \u521b\u5efa\u4e00\u4e2aWorkbook\u5bf9\u8c61<\/strong><\/h2>\n
        wb = Workbook()<\/p>\n
        \u521b\u5efa\u4e00\u4e2aWorksheet\u5bf9\u8c61<\/strong><\/h2>\n
        ws = wb.active<\/p>\n
        \u5199\u5165\u6570\u636e\u5230Worksheet\u5bf9\u8c61<\/strong><\/h2>\n
        ws['A1'] = 'Name'<\/p>\n
        ws['B1'] = 'Age'<\/p>\n
        ws['C1'] = 'City'<\/p>\n
        data = [<\/p>\n
            ['John', 28, 'New York'],<\/p>\n
            ['Anna', 24, 'Paris'],<\/p>\n
            ['Peter', 35, 'Berlin'],<\/p>\n
            ['Linda', 32, 'London']<\/p>\n
        ]<\/p>\n
        for row in data:<\/p>\n
            ws.append(row)<\/p>\n
        \u4fdd\u5b58Workbook\u5bf9\u8c61\u5230Excel\u6587\u4ef6\u4e2d<\/strong><\/h2>\n
        wb.save('openpyxl_excel_file.xlsx')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86Openpyxl\u5e93\uff0c\u5e76\u521b\u5efa\u4e86\u4e00\u4e2aWorkbook\u5bf9\u8c61\u548c\u4e00\u4e2aWorksheet\u5bf9\u8c61\u3002\u7136\u540e\uff0c\u6211\u4eec\u5c06\u6570\u636e\u5199\u5165Worksheet\u5bf9\u8c61\uff0c\u5e76\u5c06Workbook\u5bf9\u8c61\u4fdd\u5b58\u5230\u540d\u4e3aopenpyxl_excel_file.xlsx\u7684Excel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
        2.1 \u591a\u4e2a\u5de5\u4f5c\u8868<\/h3>\n<\/p>\n
        \u6709\u65f6\u6211\u4eec\u9700\u8981\u5c06\u6570\u636e\u4fdd\u5b58\u5230\u591a\u4e2a\u5de5\u4f5c\u8868\u4e2d\u3002Openpyxl\u5e93\u5141\u8bb8\u6211\u4eec\u521b\u5efa\u591a\u4e2aWorksheet\u5bf9\u8c61\uff0c\u5e76\u5c06\u5b83\u4eec\u6dfb\u52a0\u5230Workbook\u5bf9\u8c61\u4e2d\u3002<\/p>\n<\/p>\n
        from openpyxl import Workbook<\/p>\n
        \u521b\u5efa\u4e00\u4e2aWorkbook\u5bf9\u8c61<\/strong><\/h2>\n
        wb = Workbook()<\/p>\n
        \u521b\u5efa\u7b2c\u4e00\u4e2aWorksheet\u5bf9\u8c61<\/strong><\/h2>\n
        ws1 = wb.active<\/p>\n
        ws1.title = 'Sheet1'<\/p>\n
        \u5199\u5165\u6570\u636e\u5230\u7b2c\u4e00\u4e2aWorksheet\u5bf9\u8c61<\/strong><\/h2>\n
        ws1['A1'] = 'Name'<\/p>\n
        ws1['B1'] = 'Age'<\/p>\n
        data1 = [<\/p>\n
            ['John', 28],<\/p>\n
            ['Anna', 24],<\/p>\n
            ['Peter', 35],<\/p>\n
            ['Linda', 32]<\/p>\n
        ]<\/p>\n
        for row in data1:<\/p>\n
            ws1.append(row)<\/p>\n
        \u521b\u5efa\u7b2c\u4e8c\u4e2aWorksheet\u5bf9\u8c61<\/strong><\/h2>\n
        ws2 = wb.create_sheet(title='Sheet2')<\/p>\n
        \u5199\u5165\u6570\u636e\u5230\u7b2c\u4e8c\u4e2aWorksheet\u5bf9\u8c61<\/strong><\/h2>\n
        ws2['A1'] = 'City'<\/p>\n
        ws2['B1'] = 'Country'<\/p>\n
        data2 = [<\/p>\n
            ['New York', 'USA'],<\/p>\n
            ['Paris', 'France'],<\/p>\n
            ['Berlin', 'Germany'],<\/p>\n
            ['London', 'UK']<\/p>\n
        ]<\/p>\n
        for row in data2:<\/p>\n
            ws2.append(row)<\/p>\n
        \u4fdd\u5b58Workbook\u5bf9\u8c61\u5230Excel\u6587\u4ef6\u4e2d<\/strong><\/h2>\n
        wb.save('openpyxl_multi_sheet.xlsx')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e24\u4e2aWorksheet\u5bf9\u8c61\uff0c\u5e76\u5c06\u5b83\u4eec\u5206\u522b\u4fdd\u5b58\u5230\u540d\u4e3aopenpyxl_multi_sheet.xlsx\u7684Excel\u6587\u4ef6\u7684Sheet1\u548cSheet2\u5de5\u4f5c\u8868\u4e2d\u3002<\/p>\n<\/p>\n
        2.2 \u683c\u5f0f\u8bbe\u7f6e<\/h3>\n<\/p>\n
        Openpyxl\u5e93\u8fd8\u5141\u8bb8\u6211\u4eec\u5728\u4fdd\u5b58Excel\u6587\u4ef6\u65f6\u8bbe\u7f6e\u683c\u5f0f\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u8bbe\u7f6e\u5355\u5143\u683c\u6837\u5f0f\u3001\u5408\u5e76\u5355\u5143\u683c\u7b49\u3002<\/p>\n<\/p>\n
        from openpyxl import Workbook<\/p>\n
        from openpyxl.styles import Font, Alignment<\/p>\n
        \u521b\u5efa\u4e00\u4e2aWorkbook\u5bf9\u8c61<\/strong><\/h2>\n
        wb = Workbook()<\/p>\n
        \u521b\u5efa\u4e00\u4e2aWorksheet\u5bf9\u8c61<\/strong><\/h2>\n
        ws = wb.active<\/p>\n
        \u5199\u5165\u6570\u636e\u5230Worksheet\u5bf9\u8c61<\/strong><\/h2>\n
        ws['A1'] = 'Name'<\/p>\n
        ws['B1'] = 'Age'<\/p>\n
        ws['C1'] = 'City'<\/p>\n
        data = [<\/p>\n
            ['John', 28, 'New York'],<\/p>\n
            ['Anna', 24, 'Paris'],<\/p>\n
            ['Peter', 35, 'Berlin'],<\/p>\n
            ['Linda', 32, 'London']<\/p>\n
        ]<\/p>\n
        for row in data:<\/p>\n
            ws.append(row)<\/p>\n
        \u8bbe\u7f6e\u5355\u5143\u683c\u6837\u5f0f<\/strong><\/h2>\n
        font = Font(bold=True, color='FF0000')<\/p>\n
        alignment = Alignment(horizontal='center')<\/p>\n
        ws['A1'].font = font<\/p>\n
        ws['B1'].font = font<\/p>\n
        ws['C1'].font = font<\/p>\n
        ws['A1'].alignment = alignment<\/p>\n
        ws['B1'].alignment = alignment<\/p>\n
        ws['C1'].alignment = alignment<\/p>\n
        \u5408\u5e76\u5355\u5143\u683c<\/strong><\/h2>\n
        ws.merge_cells('E1:F1')<\/p>\n
        ws['E1'] = 'Merged Cells'<\/p>\n
        ws['E1'].font = Font(bold=True)<\/p>\n
        ws['E1'].alignment = Alignment(horizontal='center')<\/p>\n
        \u4fdd\u5b58Workbook\u5bf9\u8c61\u5230Excel\u6587\u4ef6\u4e2d<\/strong><\/h2>\n
        wb.save('openpyxl_formatted.xlsx')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u4e86Openpyxl\u5e93\u7684Font\u548cAlignment\u7c7b\u6765\u8bbe\u7f6e\u5355\u5143\u683c\u6837\u5f0f\uff0c\u5e76\u5408\u5e76\u4e86\u5355\u5143\u683cE1\u548cF1\u3002<\/p>\n<\/p>\n
        \u4e09\u3001XLSXWRITER\u5e93<\/strong><\/h2>\n
        XlsxWriter\u5e93\u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efaExcel\u6587\u4ef6\u7684Python\u6a21\u5757\uff0c\u652f\u6301\u4e30\u5bcc\u7684Excel\u529f\u80fd\uff0c\u4f8b\u5982\u683c\u5f0f\u8bbe\u7f6e\u3001\u56fe\u8868\u7b49\u3002\u4f7f\u7528XlsxWriter\u5e93\u4fdd\u5b58Excel\u6587\u4ef6\u7684\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
          \n
        1. \u5bfc\u5165XlsxWriter\u5e93\u3002<\/li>\n
        2. \u521b\u5efa\u4e00\u4e2aWorkbook\u5bf9\u8c61\u3002<\/li>\n
        3. \u521b\u5efa\u4e00\u4e2aWorksheet\u5bf9\u8c61\u3002<\/li>\n
        4. \u5c06\u6570\u636e\u5199\u5165Worksheet\u5bf9\u8c61\u3002<\/li>\n
        5. \u5173\u95edWorkbook\u5bf9\u8c61\u4ee5\u4fdd\u5b58Excel\u6587\u4ef6\u3002<\/li>\n<\/ol>\n
          import xlsxwriter<\/p>\n
          \u521b\u5efa\u4e00\u4e2aWorkbook\u5bf9\u8c61<\/strong><\/h2>\n
          workbook = xlsxwriter.Workbook('xlsxwriter_excel_file.xlsx')<\/p>\n
          \u521b\u5efa\u4e00\u4e2aWorksheet\u5bf9\u8c61<\/strong><\/h2>\n
          worksheet = workbook.add_worksheet()<\/p>\n
          \u5199\u5165\u6570\u636e\u5230Worksheet\u5bf9\u8c61<\/strong><\/h2>\n
          worksheet.write('A1', 'Name')<\/p>\n
          worksheet.write('B1', 'Age')<\/p>\n
          worksheet.write('C1', 'City')<\/p>\n
          data = [<\/p>\n
              ['John', 28, 'New York'],<\/p>\n
              ['Anna', 24, 'Paris'],<\/p>\n
              ['Peter', 35, 'Berlin'],<\/p>\n
              ['Linda', 32, 'London']<\/p>\n
          ]<\/p>\n
          row = 1<\/p>\n
          for name, age, city in data:<\/p>\n
              worksheet.write(row, 0, name)<\/p>\n
              worksheet.write(row, 1, age)<\/p>\n
              worksheet.write(row, 2, city)<\/p>\n
              row += 1<\/p>\n
          \u5173\u95edWorkbook\u5bf9\u8c61\u4ee5\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n
          workbook.close()<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86XlsxWriter\u5e93\uff0c\u5e76\u521b\u5efa\u4e86\u4e00\u4e2aWorkbook\u5bf9\u8c61\u548c\u4e00\u4e2aWorksheet\u5bf9\u8c61\u3002\u7136\u540e\uff0c\u6211\u4eec\u5c06\u6570\u636e\u5199\u5165Worksheet\u5bf9\u8c61\uff0c\u5e76\u5173\u95edWorkbook\u5bf9\u8c61\u4ee5\u4fdd\u5b58Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
          3.1 \u591a\u4e2a\u5de5\u4f5c\u8868<\/h3>\n<\/p>\n
          \u6709\u65f6\u6211\u4eec\u9700\u8981\u5c06\u6570\u636e\u4fdd\u5b58\u5230\u591a\u4e2a\u5de5\u4f5c\u8868\u4e2d\u3002XlsxWriter\u5e93\u5141\u8bb8\u6211\u4eec\u521b\u5efa\u591a\u4e2aWorksheet\u5bf9\u8c61\uff0c\u5e76\u5c06\u5b83\u4eec\u6dfb\u52a0\u5230Workbook\u5bf9\u8c61\u4e2d\u3002<\/p>\n<\/p>\n
          import xlsxwriter<\/p>\n
          \u521b\u5efa\u4e00\u4e2aWorkbook\u5bf9\u8c61<\/strong><\/h2>\n
          workbook = xlsxwriter.Workbook('xlsxwriter_multi_sheet.xlsx')<\/p>\n
          \u521b\u5efa\u7b2c\u4e00\u4e2aWorksheet\u5bf9\u8c61<\/strong><\/h2>\n
          worksheet1 = workbook.add_worksheet('Sheet1')<\/p>\n
          \u5199\u5165\u6570\u636e\u5230\u7b2c\u4e00\u4e2aWorksheet\u5bf9\u8c61<\/strong><\/h2>\n
          worksheet1.write('A1', 'Name')<\/p>\n
          worksheet1.write('B1', 'Age')<\/p>\n
          data1 = [<\/p>\n
              ['John', 28],<\/p>\n
              ['Anna', 24],<\/p>\n
              ['Peter', 35],<\/p>\n
              ['Linda', 32]<\/p>\n
          ]<\/p>\n
          row = 1<\/p>\n
          for name, age in data1:<\/p>\n
              worksheet1.write(row, 0, name)<\/p>\n
              worksheet1.write(row, 1, age)<\/p>\n
              row += 1<\/p>\n
          \u521b\u5efa\u7b2c\u4e8c\u4e2aWorksheet\u5bf9\u8c61<\/strong><\/h2>\n
          worksheet2 = workbook.add_worksheet('Sheet2')<\/p>\n
          \u5199\u5165\u6570\u636e\u5230\u7b2c\u4e8c\u4e2aWorksheet\u5bf9\u8c61<\/strong><\/h2>\n
          worksheet2.write('A1', 'City')<\/p>\n
          worksheet2.write('B1', 'Country')<\/p>\n
          data2 = [<\/p>\n
              ['New York', 'USA'],<\/p>\n
              ['Paris', 'France'],<\/p>\n
              ['Berlin', 'Germany'],<\/p>\n
              ['London', 'UK']<\/p>\n
          ]<\/p>\n
          row = 1<\/p>\n
          for city, country in data2:<\/p>\n
              worksheet2.write(row, 0, city)<\/p>\n
              worksheet2.write(row, 1, country)<\/p>\n
              row += 1<\/p>\n
          \u5173\u95edWorkbook\u5bf9\u8c61\u4ee5\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n
          workbook.close()<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e24\u4e2aWorksheet\u5bf9\u8c61\uff0c\u5e76\u5c06\u5b83\u4eec\u5206\u522b\u4fdd\u5b58\u5230\u540d\u4e3axlsxwriter_multi_sheet.xlsx\u7684Excel\u6587\u4ef6\u7684Sheet1\u548cSheet2\u5de5\u4f5c\u8868\u4e2d\u3002<\/p>\n<\/p>\n
          3.2 \u683c\u5f0f\u8bbe\u7f6e<\/h3>\n<\/p>\n
          XlsxWriter\u5e93\u8fd8\u5141\u8bb8\u6211\u4eec\u5728\u4fdd\u5b58Excel\u6587\u4ef6\u65f6\u8bbe\u7f6e\u683c\u5f0f\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u8bbe\u7f6e\u5355\u5143\u683c\u683c\u5f0f\u3001\u6dfb\u52a0\u56fe\u8868\u7b49\u3002<\/p>\n<\/p>\n
          import xlsxwriter<\/p>\n
          \u521b\u5efa\u4e00\u4e2aWorkbook\u5bf9\u8c61<\/strong><\/h2>\n
          workbook = xlsxwriter.Workbook('xlsxwriter_formatted.xlsx')<\/p>\n
          \u521b\u5efa\u4e00\u4e2aWorksheet\u5bf9\u8c61<\/strong><\/h2>\n
          worksheet = workbook.add_worksheet()<\/p>\n
          \u5199\u5165\u6570\u636e\u5230Worksheet\u5bf9\u8c61<\/strong><\/h2>\n
          worksheet.write('A1', 'Name')<\/p>\n
          worksheet.write('B1', 'Age')<\/p>\n
          worksheet.write('C1', 'City')<\/p>\n
          data = [<\/p>\n
              ['John', 28, 'New York'],<\/p>\n
              ['Anna', 24, 'Paris'],<\/p>\n
              ['Peter', 35, 'Berlin'],<\/p>\n
              ['Linda', 32, 'London']<\/p>\n
          ]<\/p>\n
          row = 1<\/p>\n
          for name, age, city in data:<\/p>\n
              worksheet.write(row, 0, name)<\/p>\n
              worksheet.write(row, 1, age)<\/p>\n
              worksheet.write(row, 2, city)<\/p>\n
              row += 1<\/p>\n
          \u8bbe\u7f6e\u5355\u5143\u683c\u683c\u5f0f<\/strong><\/h2>\n
          bold = workbook.add_format({'bold': True})<\/p>\n
          worksheet.write('A1', 'Name', bold)<\/p>\n
          worksheet.write('B1', 'Age', bold)<\/p>\n
          worksheet.write('C1', 'City', bold)<\/p>\n
          \u6dfb\u52a0\u56fe\u8868<\/strong><\/h2>\n
          chart = workbook.add_chart({'type': 'column'})<\/p>\n
          chart.add_series({<\/p>\n
              'name': 'Age',<\/p>\n
              'categories': ['Sheet1', 1, 0, 4, 0],<\/p>\n
              'values': ['Sheet1', 1, 1, 4, 1],<\/p>\n
          })<\/p>\n
          worksheet.insert_chart('E5', chart)<\/p>\n
          \u5173\u95edWorkbook\u5bf9\u8c61\u4ee5\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n
          workbook.close()<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u4e86XlsxWriter\u5e93\u7684add_format\u65b9\u6cd5\u6765\u8bbe\u7f6e\u5355\u5143\u683c\u683c\u5f0f\uff0c\u5e76\u6dfb\u52a0\u4e86\u4e00\u4e2a\u67f1\u72b6\u56fe\u5230Excel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
          \u4ee5\u4e0a\u662f\u4f7f\u7528Python\u4fdd\u5b58Excel\u65b0\u5efa\u8868\u7684\u4e09\u79cd\u5e38\u89c1\u65b9\u6cd5\uff1aPandas\u5e93\u3001Openpyxl\u5e93\u548cXlsxWriter\u5e93\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\u548c\u9002\u7528\u573a\u666f\uff0c\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u9700\u6c42\u548c\u504f\u597d\u3002\u901a\u8fc7\u8fd9\u4e9b\u793a\u4f8b\u4ee3\u7801\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u6570\u636e\u4fdd\u5b58\u5230Excel\u6587\u4ef6\u4e2d\uff0c\u5e76\u6839\u636e\u9700\u8981\u8bbe\u7f6e\u683c\u5f0f\u548c\u6dfb\u52a0\u56fe\u8868\u3002<\/p>\n<\/p>\n
          \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
           \u5982\u4f55\u4f7f\u7528Python\u521b\u5efa\u65b0\u7684Excel\u8868\u683c\u5e76\u4fdd\u5b58\uff1f<\/strong>
          \u4f7f\u7528Python\u521b\u5efa\u65b0\u7684Excel\u8868\u683c\u901a\u5e38\u53ef\u4ee5\u901a\u8fc7pandas<\/code>\u5e93\u6216openpyxl<\/code>\u5e93\u5b9e\u73b0\u3002\u9996\u5148\u9700\u8981\u5b89\u88c5\u76f8\u5173\u5e93\uff0c\u4f8b\u5982\u4f7f\u7528pip install pandas openpyxl<\/code>\u3002\u4e4b\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u7684DataFrame<\/code>\u5bf9\u8c61\u521b\u5efa\u6570\u636e\uff0c\u5e76\u4f7f\u7528to_excel()<\/code>\u65b9\u6cd5\u5c06\u5176\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
          import pandas as pd\n\ndata = {'\u5217\u540d1': [1, 2, 3], '\u5217\u540d2': [4, 5, 6]}\ndf = pd.DataFrame(data)\ndf.to_excel('\u65b0\u5efa\u8868.xlsx', index=False)\n<\/code><\/pre>\n
          \u4fdd\u5b58Excel\u6587\u4ef6\u65f6\u53ef\u4ee5\u9009\u62e9\u54ea\u4e9b\u6587\u4ef6\u683c\u5f0f\uff1f<\/strong>
          \u5728\u4f7f\u7528to_excel()<\/code>\u65b9\u6cd5\u65f6\uff0c\u53ef\u4ee5\u6307\u5b9a\u6587\u4ef6\u540d\u540e\u7f00\u4e3a.xlsx<\/code>\u6216.xls<\/code>\uff0c\u8fd9\u4e24\u79cd\u683c\u5f0f\u662fExcel\u7684\u6807\u51c6\u683c\u5f0f\u3002\u6b64\u5916\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6eengine<\/code>\u53c2\u6570\u9009\u62e9\u4e0d\u540c\u7684\u5f15\u64ce\uff0c\u4f8b\u5982\u4f7f\u7528openpyxl<\/code>\u5f15\u64ce\u53ef\u4ee5\u5904\u7406.xlsx<\/code>\u683c\u5f0f\uff0c\u800c\u4f7f\u7528xlrd<\/code>\u53ef\u4ee5\u5904\u7406\u65e7\u7248\u7684.xls<\/code>\u683c\u5f0f\u3002<\/p>\n
          \u5982\u4f55\u5728\u521b\u5efaExcel\u8868\u683c\u65f6\u6dfb\u52a0\u591a\u4e2a\u5de5\u4f5c\u8868\uff1f<\/strong>
          \u5982\u679c\u9700\u8981\u5728\u540c\u4e00\u4e2aExcel\u6587\u4ef6\u4e2d\u521b\u5efa\u591a\u4e2a\u5de5\u4f5c\u8868\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u7684ExcelWriter<\/code>\u7c7b\u3002\u901a\u8fc7\u6307\u5b9a\u4e0d\u540c\u7684\u5de5\u4f5c\u8868\u540d\u79f0\uff0c\u53ef\u4ee5\u5c06\u591a\u4e2aDataFrame<\/code>\u5199\u5165\u540c\u4e00\u4e2a\u6587\u4ef6\u4e2d\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
          with pd.ExcelWriter('\u591a\u5de5\u4f5c\u8868.xlsx') as writer:\n    df1.to_excel(writer, sheet_name='\u5de5\u4f5c\u88681', index=False)\n    df2.to_excel(writer, sheet_name='\u5de5\u4f5c\u88682', index=False)\n<\/code><\/pre>\n
          \u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u8ba9\u7528\u6237\u5728\u4e00\u4e2a\u6587\u4ef6\u4e2d\u7ec4\u7ec7\u548c\u7ba1\u7406\u591a\u4e2a\u6570\u636e\u96c6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u4fdd\u5b58Excel\u65b0\u5efa\u8868\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u3001Openpyxl\u5e93\u6216Xls […]","protected":false},"author":3,"featured_media":1165636,"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\/1165633"}],"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=1165633"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1165633\/revisions"}],"predecessor-version":[{"id":1165637,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1165633\/revisions\/1165637"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1165636"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1165633"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1165633"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1165633"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}