{"id":1007976,"date":"2024-12-27T10:58:35","date_gmt":"2024-12-27T02:58:35","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1007976.html"},"modified":"2024-12-27T10:58:39","modified_gmt":"2024-12-27T02:58:39","slug":"python%e5%a6%82%e4%bd%95%e8%be%93%e5%87%ba%e7%bb%93%e6%9e%9cexcel","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1007976.html","title":{"rendered":"python\u5982\u4f55\u8f93\u51fa\u7ed3\u679cExcel"},"content":{"rendered":"

\"python\u5982\u4f55\u8f93\u51fa\u7ed3\u679cExcel\"<\/p>\n

\u5728Python\u4e2d\u8f93\u51fa\u7ed3\u679c\u5230Excel\u6587\u4ef6\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u5e38\u7528\u7684\u5e93\u5305\u62ecpandas\u3001openpyxl\u3001xlsxwriter<\/strong>\u7b49\u3002\u5229\u7528pandas\u5e93\u7684DataFrame\u5bf9\u8c61\u3001\u4f7f\u7528openpyxl\u5e93\u6765\u64cd\u4f5c\u73b0\u6709\u7684Excel\u6587\u4ef6\u3001\u901a\u8fc7xlsxwriter\u521b\u5efa\u548c\u683c\u5f0f\u5316\u65b0\u7684Excel\u6587\u4ef6<\/strong>\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u51e0\u79cd\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528PANDAS\u5e93<\/p>\n<\/p>\n

pandas<\/strong>\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u975e\u5e38\u65b9\u4fbf\u7684\u63a5\u53e3\u6765\u5c06\u6570\u636e\u5bfc\u51fa\u4e3aExcel\u683c\u5f0f\u3002\u4e3b\u8981\u901a\u8fc7pandas.DataFrame.to_excel()<\/code>\u65b9\u6cd5\u5b9e\u73b0\u3002<\/p>\n<\/p>\n

    \n
  1. \u521b\u5efaDataFrame\u5e76\u5bfc\u51fa<\/strong><\/li>\n<\/ol>\n

    pandas\u5e93\u63d0\u4f9b\u4e86\u4e00\u4e2a\u975e\u5e38\u65b9\u4fbf\u7684\u65b9\u5f0f\u6765\u521b\u5efaDataFrame\u5e76\u5c06\u5176\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5pandas\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n

    pip install pandas<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2aDataFrame\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528to_excel()<\/code>\u65b9\u6cd5\u5c06\u5176\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    \u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
    data = {<\/p>\n
        'Name': ['Alice', 'Bob', 'Charlie'],<\/p>\n
        'Age': [25, 30, 35],<\/p>\n
        'City': ['New York', 'Los Angeles', 'Chicago']<\/p>\n
    }<\/p>\n
    \u521b\u5efaDataFrame<\/strong><\/h2>\n
    df = pd.DataFrame(data)<\/p>\n
    \u5bfc\u51fa\u4e3aExcel\u6587\u4ef6<\/strong><\/h2>\n
    df.to_excel('output.xlsx', index=False)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u4e09\u5217\u6570\u636e\u7684DataFrame\uff0c\u5e76\u4f7f\u7528to_excel()<\/code>\u65b9\u6cd5\u5c06\u5176\u5bfc\u51fa\u5230\u540d\u4e3aoutput.xlsx<\/code>\u7684Excel\u6587\u4ef6\u4e2d\u3002\u53c2\u6570index=False<\/code>\u8868\u793a\u4e0d\u5bfc\u51fa\u884c\u7d22\u5f15\u3002<\/p>\n<\/p>\n
      \n
    1. \u81ea\u5b9a\u4e49Excel\u8f93\u51fa<\/strong><\/li>\n<\/ol>\n
      pandas\u5e93\u8fd8\u5141\u8bb8\u6211\u4eec\u81ea\u5b9a\u4e49Excel\u8f93\u51fa\u683c\u5f0f\uff0c\u4f8b\u5982\u6307\u5b9a\u5de5\u4f5c\u8868\u540d\u79f0\u3001\u6307\u5b9a\u6570\u636e\u7c7b\u578b\u3001\u6dfb\u52a0\u683c\u5f0f\u7b49\uff1a<\/p>\n<\/p>\n
      # \u5bfc\u51fa\u5230Excel\u6587\u4ef6\uff0c\u5e76\u81ea\u5b9a\u4e49\u5de5\u4f5c\u8868\u540d\u79f0<\/p>\n
      df.to_excel('output.xlsx', sheet_name='Sheet1', index=False)<\/p>\n
      \u6307\u5b9a\u6570\u636e\u7c7b\u578b<\/strong><\/h2>\n
      df.to_excel('output.xlsx', dtype={'Age': int}, index=False)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u6307\u5b9a\u4e86\u5de5\u4f5c\u8868\u540d\u79f0\u4e3aSheet1<\/code>\uff0c\u5e76\u660e\u786e\u6307\u5b9a\u4e86Age<\/code>\u5217\u7684\u6570\u636e\u7c7b\u578b\u4e3a\u6574\u6570\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001\u4f7f\u7528OPENPYXL\u5e93<\/p>\n<\/p>\n
      openpyxl<\/strong>\u5e93\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u5199Excel 2010 xlsx\/xlsm\/xltx\/xltm\u6587\u4ef6\u7684Python\u5e93\u3002\u5b83\u652f\u6301Excel\u7684\u9ad8\u7ea7\u7279\u6027\uff0c\u4f8b\u5982\u516c\u5f0f\u3001\u56fe\u8868\u3001\u56fe\u50cf\u7b49\u3002<\/p>\n<\/p>\n
        \n
      1. \u5b89\u88c5\u548c\u57fa\u672c\u4f7f\u7528<\/strong><\/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\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528openpyxl\u6765\u521b\u5efa\u548c\u64cd\u4f5cExcel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
        from openpyxl import Workbook<\/p>\n
        \u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
        wb = Workbook()<\/p>\n
        \u6fc0\u6d3b\u9ed8\u8ba4\u5de5\u4f5c\u8868<\/strong><\/h2>\n
        ws = wb.active<\/p>\n
        \u5199\u5165\u6570\u636e<\/strong><\/h2>\n
        ws['A1'] = 'Name'<\/p>\n
        ws['B1'] = 'Age'<\/p>\n
        ws['C1'] = 'City'<\/p>\n
        data = [<\/p>\n
            ['Alice', 25, 'New York'],<\/p>\n
            ['Bob', 30, 'Los Angeles'],<\/p>\n
            ['Charlie', 35, 'Chicago']<\/p>\n
        ]<\/p>\n
        for row in data:<\/p>\n
            ws.append(row)<\/p>\n
        \u4fdd\u5b58\u4e3aExcel\u6587\u4ef6<\/strong><\/h2>\n
        wb.save('output.xlsx')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528openpyxl\u521b\u5efa\u4e86\u4e00\u4e2a\u65b0\u7684Excel\u6587\u4ef6\uff0c\u5e76\u5728\u5176\u4e2d\u5199\u5165\u4e86\u4e00\u4e9b\u6570\u636e\u3002<\/p>\n<\/p>\n
          \n
        1. \u8bfb\u53d6\u548c\u4fee\u6539\u73b0\u6709\u7684Excel\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n
          openpyxl\u8fd8\u652f\u6301\u8bfb\u53d6\u548c\u4fee\u6539\u73b0\u6709\u7684Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
          from openpyxl import load_workbook<\/p>\n
          \u52a0\u8f7d\u73b0\u6709\u7684Excel\u6587\u4ef6<\/strong><\/h2>\n
          wb = load_workbook('output.xlsx')<\/p>\n
          \u6fc0\u6d3b\u5de5\u4f5c\u8868<\/strong><\/h2>\n
          ws = wb.active<\/p>\n
          \u8bfb\u53d6\u6570\u636e<\/strong><\/h2>\n
          for row in ws.iter_rows(values_only=True):<\/p>\n
              print(row)<\/p>\n
          \u4fee\u6539\u6570\u636e<\/strong><\/h2>\n
          ws['A2'] = 'Updated Name'<\/p>\n
          \u4fdd\u5b58\u4fee\u6539<\/strong><\/h2>\n
          wb.save('output.xlsx')<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u52a0\u8f7d\u4e86\u4e00\u4e2a\u73b0\u6709\u7684Excel\u6587\u4ef6\uff0c\u5e76\u8bfb\u53d6\u4e86\u5176\u4e2d\u7684\u6570\u636e\uff0c\u7136\u540e\u4fee\u6539\u4e86\u67d0\u4e2a\u5355\u5143\u683c\u7684\u503c\u3002<\/p>\n<\/p>\n
          \u4e09\u3001\u4f7f\u7528XLSXWRITER\u5e93<\/p>\n<\/p>\n
          xlsxwriter<\/strong>\u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efaExcel\u6587\u4ef6\u7684Python\u5e93\uff0c\u652f\u6301\u4e30\u5bcc\u7684\u683c\u5f0f\u5316\u9009\u9879\u548c\u7279\u6027\u3002<\/p>\n<\/p>\n
            \n
          1. \u5b89\u88c5\u548c\u57fa\u672c\u4f7f\u7528<\/strong><\/li>\n<\/ol>\n
            \u9996\u5148\uff0c\u5b89\u88c5xlsxwriter\u5e93\uff1a<\/p>\n<\/p>\n
            pip install XlsxWriter<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528xlsxwriter\u521b\u5efa\u548c\u683c\u5f0f\u5316\u65b0\u7684Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
            import xlsxwriter<\/p>\n
            \u521b\u5efa\u4e00\u4e2a\u65b0\u7684Excel\u6587\u4ef6\u548c\u5de5\u4f5c\u8868<\/strong><\/h2>\n
            workbook = xlsxwriter.Workbook('output.xlsx')<\/p>\n
            worksheet = workbook.add_worksheet()<\/p>\n
            \u5199\u5165\u6570\u636e<\/strong><\/h2>\n
            worksheet.write('A1', 'Name')<\/p>\n
            worksheet.write('B1', 'Age')<\/p>\n
            worksheet.write('C1', 'City')<\/p>\n
            data = [<\/p>\n
                ['Alice', 25, 'New York'],<\/p>\n
                ['Bob', 30, 'Los Angeles'],<\/p>\n
                ['Charlie', 35, 'Chicago']<\/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\u95ed\u5e76\u4fdd\u5b58\u6587\u4ef6<\/strong><\/h2>\n
            workbook.close()<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528xlsxwriter\u521b\u5efa\u4e86\u4e00\u4e2a\u65b0\u7684Excel\u6587\u4ef6\uff0c\u5e76\u5199\u5165\u4e86\u4e00\u4e9b\u6570\u636e\u3002<\/p>\n<\/p>\n
              \n
            1. \u683c\u5f0f\u5316\u548c\u56fe\u8868<\/strong><\/li>\n<\/ol>\n
              xlsxwriter\u652f\u6301\u4e30\u5bcc\u7684\u683c\u5f0f\u5316\u9009\u9879\u548c\u56fe\u8868\u521b\u5efa\uff1a<\/p>\n<\/p>\n
              # \u521b\u5efa\u683c\u5f0f\u5bf9\u8c61<\/p>\n
              bold = workbook.add_format({'bold': True})<\/p>\n
              \u5e94\u7528\u683c\u5f0f<\/strong><\/h2>\n
              worksheet.write('A1', 'Name', bold)<\/p>\n
              worksheet.write('B1', 'Age', bold)<\/p>\n
              worksheet.write('C1', 'City', bold)<\/p>\n
              \u521b\u5efa\u56fe\u8868<\/strong><\/h2>\n
              chart = workbook.add_chart({'type': 'column'})<\/p>\n
              \u6dfb\u52a0\u6570\u636e\u5230\u56fe\u8868<\/strong><\/h2>\n
              chart.add_series({<\/p>\n
                  'categories': '=Sheet1!$A$2:$A$4',<\/p>\n
                  'values': '=Sheet1!$B$2:$B$4',<\/p>\n
                  'name': 'Age'<\/p>\n
              })<\/p>\n
              \u5c06\u56fe\u8868\u63d2\u5165\u5230\u5de5\u4f5c\u8868<\/strong><\/h2>\n
              worksheet.insert_chart('E5', chart)<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528xlsxwriter\u521b\u5efa\u4e86\u4e00\u4e2a\u67f1\u72b6\u56fe\uff0c\u5e76\u5c06\u5176\u63d2\u5165\u5230\u5de5\u4f5c\u8868\u4e2d\u3002<\/p>\n<\/p>\n
              \u56db\u3001\u5176\u4ed6\u6ce8\u610f\u4e8b\u9879<\/p>\n<\/p>\n
                \n
              1. \u6587\u4ef6\u683c\u5f0f<\/strong><\/li>\n<\/ol>\n
                \u5728\u4f7f\u7528\u8fd9\u4e9b\u5e93\u65f6\uff0c\u8bf7\u786e\u4fdd\u6587\u4ef6\u683c\u5f0f\u6b63\u786e\u3002\u4e00\u822c\u6765\u8bf4\uff0cpandas\u548copenpyxl\u9002\u7528\u4e8exlsx\u683c\u5f0f\uff0c\u800cxlsxwriter\u4e13\u7528\u4e8exlsx\u683c\u5f0f\u3002<\/p>\n<\/p>\n
                  \n
                1. \u6027\u80fd<\/strong><\/li>\n<\/ol>\n
                  \u5bf9\u4e8e\u5927\u6570\u636e\u96c6\uff0c\u4f7f\u7528pandas\u53ef\u80fd\u662f\u6700\u4f73\u9009\u62e9\uff0c\u56e0\u4e3a\u5b83\u5728\u5904\u7406\u6570\u636e\u65f6\u5177\u6709\u66f4\u597d\u7684\u6027\u80fd\u548c\u66f4\u4e30\u5bcc\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
                    \n
                  1. \u517c\u5bb9\u6027<\/strong><\/li>\n<\/ol>\n
                    \u786e\u4fdd\u60a8\u4f7f\u7528\u7684\u5e93\u7248\u672c\u4e0e\u60a8\u7684Python\u7248\u672c\u517c\u5bb9\uff0c\u5e76\u9605\u8bfb\u76f8\u5173\u6587\u6863\u4ee5\u83b7\u53d6\u66f4\u591a\u4fe1\u606f\u548c\u793a\u4f8b\u3002<\/p>\n<\/p>\n
                    \u901a\u8fc7\u4ee5\u4e0a\u51e0\u79cd\u65b9\u6cd5\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06Python\u4e2d\u7684\u6570\u636e\u5bfc\u51fa\u5230Excel\u6587\u4ef6\u4e2d\uff0c\u6839\u636e\u4e0d\u540c\u7684\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\u6765\u5b9e\u73b0\u4e0d\u540c\u7684\u529f\u80fd\u3002\u65e0\u8bba\u662f\u7b80\u5355\u7684\u6570\u636e\u5bfc\u51fa\u8fd8\u662f\u590d\u6742\u7684\u683c\u5f0f\u5316\u548c\u56fe\u8868\u521b\u5efa\uff0c\u8fd9\u4e9b\u5de5\u5177\u90fd\u80fd\u6ee1\u8db3\u60a8\u7684\u9700\u6c42\u3002<\/p>\n<\/p>\n
                    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                     \u5982\u4f55\u5728Python\u4e2d\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6\uff1f<\/strong>
                    \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u8f7b\u677e\u5730\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6\u3002\u9996\u5148\u9700\u8981\u5b89\u88c5pandas<\/code>\u548copenpyxl<\/code>\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7pip install pandas openpyxl<\/code>\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\u3002\u63a5\u4e0b\u6765\uff0c\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2aDataFrame<\/code>\u5bf9\u8c61\u5e76\u4f7f\u7528to_excel<\/code>\u65b9\u6cd5\u5c06\u5176\u5bfc\u51fa\u5230Excel\u6587\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n
                    import pandas as pd\n\ndata = {\n    'Name': ['Alice', 'Bob', 'Charlie'],\n    'Age': [25, 30, 35]\n}\ndf = pd.DataFrame(data)\ndf.to_excel('output.xlsx', index=False)\n<\/code><\/pre>\n
                    Python\u8f93\u51faExcel\u6587\u4ef6\u65f6\u80fd\u5426\u8bbe\u7f6e\u5355\u5143\u683c\u683c\u5f0f\uff1f<\/strong>
                    \u662f\u7684\uff0c\u4f7f\u7528openpyxl<\/code>\u5e93\u53ef\u4ee5\u5bf9Excel\u6587\u4ef6\u4e2d\u7684\u5355\u5143\u683c\u8fdb\u884c\u683c\u5f0f\u8bbe\u7f6e\u3002\u5728\u521b\u5efa\u6216\u4fee\u6539Excel\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528openpyxl<\/code>\u6765\u8c03\u6574\u5b57\u4f53\u3001\u989c\u8272\u3001\u8fb9\u6846\u7b49\u3002\u4f8b\u5982\uff1a<\/p>\n
                    from openpyxl import Workbook\nfrom openpyxl.styles import Font\n\nwb = Workbook()\nws = wb.active\nws['A1'] = 'Hello'\nws['A1'].font = Font(bold=True, color="FF0000")\nwb.save('formatted_output.xlsx')\n<\/code><\/pre>\n
                    \u5728Python\u4e2d\u5982\u4f55\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u6570\u636e\uff1f<\/strong>
                    \u4f7f\u7528pandas<\/code>\u5e93\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002\u901a\u8fc7read_excel<\/code>\u51fd\u6570\uff0c\u4f60\u53ef\u4ee5\u5c06Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u52a0\u8f7d\u5230DataFrame<\/code>\u4e2d\u3002\u9700\u8981\u786e\u4fdd\u5b89\u88c5\u4e86openpyxl<\/code>\u5e93\u4ee5\u652f\u6301Excel\u8bfb\u53d6\u3002\u4f8b\u5982\uff1a<\/p>\n
                    import pandas as pd\n\ndf = pd.read_excel('output.xlsx')\nprint(df)\n<\/code><\/pre>\n
                    \u8fd9\u6837\u53ef\u4ee5\u5feb\u901f\u67e5\u770bExcel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff0c\u5e76\u53ef\u4ee5\u5bf9\u5176\u8fdb\u884c\u8fdb\u4e00\u6b65\u5904\u7406\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u8f93\u51fa\u7ed3\u679c\u5230Excel\u6587\u4ef6\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u5e38\u7528\u7684\u5e93\u5305\u62ecpandas\u3001openpyxl\u3001xlsxwri […]","protected":false},"author":3,"featured_media":1007985,"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\/1007976"}],"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=1007976"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1007976\/revisions"}],"predecessor-version":[{"id":1007987,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1007976\/revisions\/1007987"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1007985"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1007976"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1007976"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1007976"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}