{"id":990899,"date":"2024-12-27T08:24:00","date_gmt":"2024-12-27T00:24:00","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/990899.html"},"modified":"2024-12-27T08:24:02","modified_gmt":"2024-12-27T00:24:02","slug":"python-%e5%a6%82%e4%bd%95%e8%87%aa%e5%8a%a8%e7%94%9f%e6%88%90exl","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/990899.html","title":{"rendered":"python \u5982\u4f55\u81ea\u52a8\u751f\u6210exl"},"content":{"rendered":"

\"python<\/p>\n

Python\u81ea\u52a8\u751f\u6210Excel\u6587\u4ef6\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528pandas\u5e93\u3001openpyxl\u5e93\u548cxlsxwriter\u5e93\u3002\u8fd9\u4e9b\u65b9\u6cd5\u5404\u6709\u4f18\u52a3\uff0cpandas\u9002\u5408\u5904\u7406\u5927\u6570\u636e\u96c6\u3001openpyxl\u652f\u6301\u5bf9\u73b0\u6709Excel\u6587\u4ef6\u7684\u8bfb\u5199\u64cd\u4f5c\u3001xlsxwriter\u5219\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u683c\u5f0f\u5316\u9009\u9879\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u4f7f\u7528pandas\u5e93\u7684\u65b9\u6cd5\u3002<\/strong><\/p>\n<\/p>\n

\u4f7f\u7528pandas\u5e93\u751f\u6210Excel\u6587\u4ef6\u7684\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

    \n
  1. \n

    \u521b\u5efaDataFrame<\/strong>\uff1a\u9996\u5148\uff0c\u4f7f\u7528pandas\u5e93\u521b\u5efa\u4e00\u4e2aDataFrame\u5bf9\u8c61\uff0cDataFrame\u53ef\u4ee5\u770b\u4f5c\u662f\u4e00\u4e2a\u8868\u683c\u6570\u636e\u7ed3\u6784\uff0c\u7c7b\u4f3c\u4e8eExcel\u4e2d\u7684\u5de5\u4f5c\u8868\u3002<\/p>\n<\/p>\n<\/li>\n

  2. \n

    \u5bfc\u51fa\u4e3aExcel\u6587\u4ef6<\/strong>\uff1a\u4f7f\u7528pandas\u7684to_excel<\/code>\u65b9\u6cd5\u5c06DataFrame\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u3002\u6b64\u65b9\u6cd5\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u6307\u5b9a\u6587\u4ef6\u540d\u548c\u8def\u5f84\u5373\u53ef\u3002<\/p>\n<\/p>\n<\/li>\n

  3. \n

    \u8bbe\u7f6e\u5de5\u4f5c\u8868\u540d\u79f0\u548c\u683c\u5f0f<\/strong>\uff1a\u5728\u5bfc\u51fa\u65f6\uff0c\u53ef\u4ee5\u6307\u5b9a\u5de5\u4f5c\u8868\u7684\u540d\u79f0\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528ExcelWriter<\/code>\u5bf9\u8c61\u8fdb\u884c\u66f4\u591a\u7684\u683c\u5f0f\u8bbe\u7f6e\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n

    \u4e0b\u9762\u5c06\u8fdb\u4e00\u6b65\u5c55\u5f00\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u5e76\u4ecb\u7ecd\u5176\u4ed6\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

    \u4e00\u3001\u4f7f\u7528PANDAS\u5e93\u751f\u6210Excel\u6587\u4ef6<\/strong><\/h2>\n

    Pandas\u5e93\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u5e7f\u6cdb\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u79d1\u5b66\u9886\u57df\u3002\u5b83\u63d0\u4f9b\u4e86\u6613\u4e8e\u4f7f\u7528\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u4f7f\u5f97\u5904\u7406\u548c\u751f\u6210Excel\u6587\u4ef6\u53d8\u5f97\u975e\u5e38\u7b80\u5355\u3002<\/p>\n<\/p>\n

    1. \u521b\u5efaDataFrame<\/h2>\n<\/p>\n

    \u5728\u751f\u6210Excel\u6587\u4ef6\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u521b\u5efa\u4e00\u4e2aDataFrame\u5bf9\u8c61\u3002DataFrame\u662fpandas\u5e93\u4e2d\u7684\u6838\u5fc3\u6570\u636e\u7ed3\u6784\uff0c\u5b83\u7c7b\u4f3c\u4e8e\u4e00\u4e2a\u7535\u5b50\u8868\u683c\u6216SQL\u8868\u3002<\/p>\n<\/p>\n

    import pandas as pd<\/p>\n
    \u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684DataFrame<\/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
    <\/code><\/pre>\n<\/p>\n
    \u5728\u4ee5\u4e0a\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u59d3\u540d\u3001\u5e74\u9f84\u548c\u57ce\u5e02\u4fe1\u606f\u7684DataFrame\u3002<\/p>\n<\/p>\n
    2. \u5bfc\u51fa\u4e3aExcel\u6587\u4ef6<\/h2>\n<\/p>\n
    \u6709\u4e86DataFrame\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528to_excel<\/code>\u65b9\u6cd5\u5c06\u5176\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
    # \u5bfc\u51faDataFrame\u4e3aExcel\u6587\u4ef6<\/p>\n
    df.to_excel('output.xlsx', index=False)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0cindex=False<\/code>\u8868\u793a\u4e0d\u5c06DataFrame\u7684\u7d22\u5f15\u5199\u5165Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
    3. \u8bbe\u7f6e\u5de5\u4f5c\u8868\u540d\u79f0\u548c\u683c\u5f0f<\/h2>\n<\/p>\n
    \u5728\u5bfc\u51faExcel\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7ExcelWriter<\/code>\u5bf9\u8c61\u8fdb\u884c\u66f4\u9ad8\u7ea7\u7684\u8bbe\u7f6e\uff0c\u6bd4\u5982\u6307\u5b9a\u5de5\u4f5c\u8868\u540d\u79f0\u3002<\/p>\n<\/p>\n
    # \u4f7f\u7528ExcelWriter\u6307\u5b9a\u5de5\u4f5c\u8868\u540d\u79f0<\/p>\n
    with pd.ExcelWriter('output_with_sheet_name.xlsx') as writer:<\/p>\n
        df.to_excel(writer, sheet_name='Sheet1', index=False)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u5728\u5bfc\u51fa\u65f6\u6307\u5b9a\u5de5\u4f5c\u8868\u7684\u540d\u79f0\u4e3a\u201cSheet1\u201d\u3002<\/p>\n<\/p>\n
    \u4e8c\u3001\u4f7f\u7528OPENPYXL\u5e93\u751f\u6210Excel\u6587\u4ef6<\/strong><\/h2>\n
    Openpyxl\u662f\u53e6\u4e00\u4e2a\u5904\u7406Excel\u6587\u4ef6\u7684Python\u5e93\u3002\u5b83\u7684\u4f18\u52bf\u5728\u4e8e\u652f\u6301\u5bf9\u73b0\u6709Excel\u6587\u4ef6\u7684\u8bfb\u5199\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
    1. \u521b\u5efa\u5de5\u4f5c\u7c3f\u548c\u5de5\u4f5c\u8868<\/h2>\n<\/p>\n
    \u4f7f\u7528openpyxl\u5e93\u53ef\u4ee5\u521b\u5efa\u65b0\u7684\u5de5\u4f5c\u7c3f\u548c\u5de5\u4f5c\u8868\u3002<\/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
    \u8bbe\u7f6e\u5de5\u4f5c\u8868\u540d\u79f0<\/strong><\/h2>\n
    ws.title = "Sample Sheet"<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    2. \u5199\u5165\u6570\u636e<\/h2>\n<\/p>\n
    \u53ef\u4ee5\u901a\u8fc7\u5411\u5de5\u4f5c\u8868\u4e2d\u6dfb\u52a0\u884c\u6765\u5199\u5165\u6570\u636e\u3002<\/p>\n<\/p>\n
    # \u6dfb\u52a0\u6570\u636e<\/p>\n
    ws.append(["Name", "Age", "City"])<\/p>\n
    ws.append(["John", 28, "New York"])<\/p>\n
    ws.append(["Anna", 24, "Paris"])<\/p>\n
    ws.append(["Peter", 35, "Berlin"])<\/p>\n
    ws.append(["Linda", 32, "London"])<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    3. \u4fdd\u5b58Excel\u6587\u4ef6<\/h2>\n<\/p>\n
    \u5199\u5165\u6570\u636e\u540e\uff0c\u9700\u8981\u4fdd\u5b58\u5de5\u4f5c\u7c3f\u3002<\/p>\n<\/p>\n
    # \u4fdd\u5b58Excel\u6587\u4ef6<\/p>\n
    wb.save("openpyxl_output.xlsx")<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4e09\u3001\u4f7f\u7528XLSXWRITER\u5e93\u751f\u6210Excel\u6587\u4ef6<\/strong><\/h2>\n
    XlsxWriter\u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efaExcel\u6587\u4ef6\u7684Python\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u683c\u5f0f\u5316\u9009\u9879\u3002<\/p>\n<\/p>\n
    1. \u521b\u5efa\u5de5\u4f5c\u7c3f\u548c\u5de5\u4f5c\u8868<\/h2>\n<\/p>\n
    \u9996\u5148\uff0c\u521b\u5efa\u4e00\u4e2a\u5de5\u4f5c\u7c3f\u5bf9\u8c61\uff0c\u5e76\u6dfb\u52a0\u4e00\u4e2a\u5de5\u4f5c\u8868\u3002<\/p>\n<\/p>\n
    import xlsxwriter<\/p>\n
    \u521b\u5efa\u4e00\u4e2a\u65b0\u7684Excel\u6587\u4ef6\u5e76\u6dfb\u52a0\u4e00\u4e2a\u5de5\u4f5c\u8868<\/strong><\/h2>\n
    workbook = xlsxwriter.Workbook('xlsxwriter_output.xlsx')<\/p>\n
    worksheet = workbook.add_worksheet()<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    2. \u5199\u5165\u6570\u636e<\/h2>\n<\/p>\n
    \u53ef\u4ee5\u4f7f\u7528write<\/code>\u65b9\u6cd5\u5411\u5de5\u4f5c\u8868\u4e2d\u5199\u5165\u6570\u636e\u3002<\/p>\n<\/p>\n
    # \u5199\u5165\u6570\u636e<\/p>\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
    <\/code><\/pre>\n<\/p>\n
    3. \u4fdd\u5b58\u548c\u5173\u95ed\u5de5\u4f5c\u7c3f<\/h2>\n<\/p>\n
    \u6700\u540e\uff0c\u4fdd\u5b58\u5e76\u5173\u95ed\u5de5\u4f5c\u7c3f\u3002<\/p>\n<\/p>\n
    # \u5173\u95ed\u5de5\u4f5c\u7c3f<\/p>\n
    workbook.close()<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u56db\u3001\u6bd4\u8f83\u4e09\u79cd\u65b9\u6cd5\u7684\u4f18\u52a3<\/strong><\/h2>\n
    \u5728\u9009\u62e9\u9002\u5408\u7684\u5e93\u65f6\uff0c\u9700\u8003\u8651\u4ee5\u4e0b\u56e0\u7d20\uff1a<\/p>\n<\/p>\n
      \n
    • Pandas<\/strong>\uff1a\u9002\u5408\u5904\u7406\u548c\u5206\u6790\u5927\u6570\u636e\u96c6\uff0c\u5177\u6709\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u3002\u4f7f\u7528to_excel<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5feb\u901f\u5bfc\u51fa\u6570\u636e\u3002<\/li>\n
    • Openpyxl<\/strong>\uff1a\u9002\u5408\u5bf9\u73b0\u6709Excel\u6587\u4ef6\u8fdb\u884c\u8bfb\u5199\u64cd\u4f5c\uff0c\u652f\u6301\u66f4\u591a\u683c\u5f0f\u5316\u9009\u9879\u3002<\/li>\n
    • XlsxWriter<\/strong>\uff1a\u9002\u5408\u521b\u5efa\u65b0\u7684Excel\u6587\u4ef6\uff0c\u5e76\u63d0\u4f9b\u4e30\u5bcc\u7684\u683c\u5f0f\u5316\u9009\u9879\u3002<\/li>\n<\/ul>\n
      \u603b\u7ed3\u6765\u8bf4\uff0c\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\u4e3b\u8981\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u9700\u6c42\u548c\u6570\u636e\u5904\u7406\u590d\u6742\u6027\u3002\u5bf9\u4e8e\u7b80\u5355\u7684\u6570\u636e\u5bfc\u51fa\uff0cpandas\u662f\u4e00\u4e2a\u5feb\u901f\u800c\u9ad8\u6548\u7684\u9009\u62e9\uff1b\u5bf9\u4e8e\u9700\u8981\u590d\u6742\u683c\u5f0f\u5316\u548c\u73b0\u6709\u6587\u4ef6\u64cd\u4f5c\u7684\u573a\u666f\uff0copenpyxl\u548cxlsxwriter\u5219\u66f4\u52a0\u5408\u9002\u3002\u901a\u8fc7\u7ed3\u5408\u8fd9\u4e9b\u5e93\u7684\u4f18\u52bf\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u8fdb\u884cExcel\u6587\u4ef6\u7684\u81ea\u52a8\u751f\u6210\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n
      \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
       \u5982\u4f55\u4f7f\u7528Python\u751f\u6210Excel\u6587\u4ef6\uff1f<\/strong>
      Python\u63d0\u4f9b\u4e86\u591a\u79cd\u5e93\u6765\u751f\u6210Excel\u6587\u4ef6\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u662fpandas<\/code>\u548copenpyxl<\/code>\u3002\u4f7f\u7528pandas<\/code>\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u6570\u636e\u5e27\u4fdd\u5b58\u4e3aExcel\u683c\u5f0f\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86\u8fd9\u4e9b\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7pip install pandas openpyxl<\/code>\u547d\u4ee4\u6765\u5b89\u88c5\u3002\u63a5\u4e0b\u6765\uff0c\u521b\u5efa\u4e00\u4e2a\u6570\u636e\u6846\u5e76\u8c03\u7528to_excel<\/code>\u65b9\u6cd5\uff0c\u5c06\u5176\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\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
      \u5728\u751f\u6210\u7684Excel\u4e2d\u5982\u4f55\u6dfb\u52a0\u683c\u5f0f\uff1f<\/strong>
      \u8981\u5728\u751f\u6210\u7684Excel\u6587\u4ef6\u4e2d\u6dfb\u52a0\u683c\u5f0f\uff0c\u53ef\u4ee5\u4f7f\u7528openpyxl<\/code>\u5e93\u3002\u8be5\u5e93\u5141\u8bb8\u5bf9Excel\u5355\u5143\u683c\u8fdb\u884c\u5404\u79cd\u683c\u5f0f\u8bbe\u7f6e\uff0c\u4f8b\u5982\u5b57\u4f53\u3001\u989c\u8272\u548c\u8fb9\u6846\u3002\u901a\u8fc7\u521b\u5efa\u4e00\u4e2a\u5de5\u4f5c\u7c3f\u548c\u5de5\u4f5c\u8868\u5bf9\u8c61\uff0c\u53ef\u4ee5\u5bf9\u7279\u5b9a\u5355\u5143\u683c\u5e94\u7528\u6837\u5f0f\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u8bbe\u7f6e\u5355\u5143\u683c\u7684\u5b57\u4f53\u548c\u586b\u5145\u989c\u8272\uff1a  <\/p>\n
      from openpyxl import Workbook\nfrom openpyxl.styles import Font, PatternFill\n\nwb = Workbook()\nws = wb.active\nws['A1'] = 'Hello'\nws['A1'].font = Font(bold=True, color="FF0000")\nws['A1'].fill = PatternFill(start_color="FFFF00", end_color="FFFF00", fill_type="solid")\n\nwb.save('styled_output.xlsx')\n<\/code><\/pre>\n
      \u751f\u6210Excel\u65f6\u5982\u4f55\u5904\u7406\u5927\u6570\u636e\u91cf\uff1f<\/strong>
      \u5904\u7406\u5927\u6570\u636e\u91cf\u65f6\uff0c\u4f7f\u7528pandas<\/code>\u7684chunksize<\/code>\u53c2\u6570\u53ef\u4ee5\u6709\u6548\u5730\u5c06\u6570\u636e\u5206\u5757\u5199\u5165Excel\u6587\u4ef6\u3002\u8fd9\u79cd\u65b9\u6cd5\u907f\u514d\u4e86\u5728\u5185\u5b58\u4e2d\u52a0\u8f7d\u6574\u4e2a\u6570\u636e\u96c6\uff0c\u4ece\u800c\u63d0\u9ad8\u4e86\u6548\u7387\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6echunksize<\/code>\u6765\u9010\u5757\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u5c06\u5176\u5199\u5165Excel\uff1a  <\/p>\n
      import pandas as pd\n\n# \u5047\u8bbe\u6709\u4e00\u4e2a\u5927\u578bCSV\u6587\u4ef6\nfor chunk in pd.read_csv('large_data.csv', chunksize=10000):\n    chunk.to_excel('large_output.xlsx', mode='a', index=False)\n<\/code><\/pre>\n
      \u8fd9\u79cd\u65b9\u6cd5\u786e\u4fdd\u4e86\u5728\u5904\u7406\u5927\u6570\u636e\u96c6\u65f6\u7cfb\u7edf\u7684\u7a33\u5b9a\u6027\u548c\u54cd\u5e94\u901f\u5ea6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u81ea\u52a8\u751f\u6210Excel\u6587\u4ef6\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528pandas\u5e93\u3001openpyxl\u5e93\u548cxls […]","protected":false},"author":3,"featured_media":990904,"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\/990899"}],"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=990899"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/990899\/revisions"}],"predecessor-version":[{"id":990907,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/990899\/revisions\/990907"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/990904"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=990899"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=990899"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=990899"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}