{"id":962487,"date":"2024-12-27T04:08:45","date_gmt":"2024-12-26T20:08:45","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/962487.html"},"modified":"2024-12-27T04:08:47","modified_gmt":"2024-12-26T20:08:47","slug":"python%e6%b2%a1%e6%9c%89%e8%a1%a8%e5%a4%b4%e5%a6%82%e4%bd%95%e6%b7%bb%e5%8a%a0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/962487.html","title":{"rendered":"python\u6ca1\u6709\u8868\u5934\u5982\u4f55\u6dfb\u52a0"},"content":{"rendered":"

\"python\u6ca1\u6709\u8868\u5934\u5982\u4f55\u6dfb\u52a0\"<\/p>\n

\u5728Python\u4e2d\uff0c\u6dfb\u52a0\u8868\u5934\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u521b\u5efaDataFrame\u3001\u901a\u8fc7csv\u6a21\u5757\u624b\u52a8\u6dfb\u52a0\u3001\u5728Excel\u6587\u4ef6\u4e2d\u63d2\u5165\u8868\u5934\u7b49\u3002\u63a8\u8350\u4f7f\u7528Pandas\u5e93\uff0c\u56e0\u4e3a\u5b83\u7b80\u6d01\u9ad8\u6548\u3001\u652f\u6301\u591a\u79cd\u683c\u5f0f\u6570\u636e\u64cd\u4f5c\u3001\u6613\u4e8e\u4e0e\u5176\u4ed6Python\u6570\u636e\u5206\u6790\u5de5\u5177\u96c6\u6210\u3002<\/strong><\/p>\n<\/p>\n

\u4e00\u3001PANDAS\u5e93\u6dfb\u52a0\u8868\u5934<\/p>\n<\/p>\n

Pandas\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u6570\u636e\u5206\u6790\u5e93\u4e4b\u4e00\uff0c\u5b83\u63d0\u4f9b\u4e86DataFrame\u5bf9\u8c61\u6765\u5b58\u50a8\u548c\u64cd\u4f5c\u8868\u683c\u6570\u636e\u3002\u5728\u6ca1\u6709\u8868\u5934\u7684\u6570\u636e\u96c6\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7Pandas\u8f7b\u677e\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\n

    \n
  1. \n

    \u8bfb\u53d6\u6570\u636e\u5e76\u6dfb\u52a0\u8868\u5934<\/strong><\/p>\n<\/p>\n

    \u5982\u679c\u60a8\u7684\u6570\u636e\u5b58\u50a8\u5728CSV\u6587\u4ef6\u4e2d\uff0c\u800c\u6587\u4ef6\u6ca1\u6709\u8868\u5934\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528Pandas\u4e2d\u7684read_csv<\/code>\u51fd\u6570\u5e76\u901a\u8fc7names<\/code>\u53c2\u6570\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\n

    import pandas as pd<\/p>\n
    \u5047\u8bbe\u6570\u636e\u5b58\u50a8\u5728data.csv\u4e2d<\/strong><\/h2>\n
    data = pd.read_csv('data.csv', header=None)<\/p>\n
    \u6dfb\u52a0\u8868\u5934<\/strong><\/h2>\n
    data.columns = ['Column1', 'Column2', 'Column3']<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7header=None<\/code>\u53c2\u6570\u544a\u77e5Pandas\u6587\u4ef6\u6ca1\u6709\u8868\u5934\uff0c\u7136\u540e\u4f7f\u7528columns<\/code>\u5c5e\u6027\u4e3aDataFrame\u6dfb\u52a0\u81ea\u5b9a\u4e49\u7684\u8868\u5934\u3002<\/p>\n<\/p>\n<\/li>\n
  2. \n
    \u4ece\u5217\u8868\u6216\u6570\u7ec4\u521b\u5efaDataFrame\u5e76\u6dfb\u52a0\u8868\u5934<\/strong><\/p>\n<\/p>\n
    \u5982\u679c\u6570\u636e\u662f\u4ee5\u5217\u8868\u6216\u6570\u7ec4\u7684\u5f62\u5f0f\u5b58\u5728\uff0c\u60a8\u53ef\u4ee5\u76f4\u63a5\u5728\u521b\u5efaDataFrame\u65f6\u6307\u5b9a\u8868\u5934\u3002<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    \u5047\u8bbe\u6570\u636e\u5b58\u50a8\u5728\u5217\u8868\u4e2d<\/strong><\/h2>\n
    data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]<\/p>\n
    \u521b\u5efaDataFrame\u5e76\u6dfb\u52a0\u8868\u5934<\/strong><\/h2>\n
    df = pd.DataFrame(data, columns=['Column1', 'Column2', 'Column3'])<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u6b64\u65b9\u6cd5\u5728DataFrame\u521b\u5efa\u65f6\u5c31\u6307\u5b9a\u4e86\u8868\u5934\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e8c\u3001CSV\u6a21\u5757\u624b\u52a8\u6dfb\u52a0\u8868\u5934<\/p>\n<\/p>\n
    \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u60a8\u53ef\u80fd\u9700\u8981\u624b\u52a8\u64cd\u4f5cCSV\u6587\u4ef6\u6765\u6dfb\u52a0\u8868\u5934\u3002Python\u7684csv\u6a21\u5757\u53ef\u4ee5\u5e2e\u52a9\u60a8\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002<\/p>\n<\/p>\n
      \n
    1. \n
      \u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u6dfb\u52a0\u8868\u5934<\/strong><\/p>\n<\/p>\n
      \u53ef\u4ee5\u901a\u8fc7\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u5185\u5bb9\uff0c\u7136\u540e\u5728\u5199\u5165\u65f6\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\n
      import csv<\/p>\n
      \u8bfb\u53d6\u539f\u59cb\u6570\u636e<\/strong><\/h2>\n
      with open('data.csv', 'r') as infile:<\/p>\n
          reader = csv.reader(infile)<\/p>\n
          data = list(reader)<\/p>\n
      \u6dfb\u52a0\u8868\u5934\u5e76\u5199\u5165\u65b0\u6587\u4ef6<\/strong><\/h2>\n
      with open('data_with_header.csv', 'w', newline='') as outfile:<\/p>\n
          writer = csv.writer(outfile)<\/p>\n
          writer.writerow(['Column1', 'Column2', 'Column3'])  # \u6dfb\u52a0\u8868\u5934<\/p>\n
          writer.writerows(data)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8fd9\u91cc\u6211\u4eec\u9996\u5148\u8bfb\u53d6\u539f\u59cb\u6570\u636e\uff0c\u7136\u540e\u5728\u5199\u5165\u65b0\u6587\u4ef6\u65f6\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001EXCEL\u6587\u4ef6\u4e2d\u63d2\u5165\u8868\u5934<\/p>\n<\/p>\n
      \u5982\u679c\u6570\u636e\u5b58\u50a8\u5728Excel\u6587\u4ef6\u4e2d\uff0c\u800c\u6ca1\u6709\u8868\u5934\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528openpyxl\u6216pandas\u5e93\u6765\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        \u4f7f\u7528Pandas\u64cd\u4f5cExcel\u6587\u4ef6<\/strong><\/p>\n<\/p>\n
        Pandas\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\uff0c\u5e76\u4e14\u53ef\u4ee5\u5728\u8bfb\u53d6\u6570\u636e\u540e\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\n
        import pandas as pd<\/p>\n
        \u8bfb\u53d6Excel\u6587\u4ef6\uff08\u5047\u8bbe\u6ca1\u6709\u8868\u5934\uff09<\/strong><\/h2>\n
        df = pd.read_excel('data.xlsx', header=None)<\/p>\n
        \u6dfb\u52a0\u8868\u5934<\/strong><\/h2>\n
        df.columns = ['Column1', 'Column2', 'Column3']<\/p>\n
        \u5c06\u5e26\u6709\u8868\u5934\u7684\u6570\u636e\u4fdd\u5b58\u56deExcel\u6587\u4ef6<\/strong><\/h2>\n
        df.to_excel('data_with_header.xlsx', index=False)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        Pandas\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u63a5\u53e3\u6765\u5904\u7406Excel\u6587\u4ef6\uff0c\u5e76\u4e14\u652f\u6301\u6570\u636e\u683c\u5f0f\u8f6c\u6362\u3002<\/p>\n<\/p>\n<\/li>\n
      2. \n
        \u4f7f\u7528openpyxl\u5e93<\/strong><\/p>\n<\/p>\n
        openpyxl\u662f\u4e00\u4e2a\u5904\u7406Excel\u6587\u4ef6\u7684Python\u5e93\uff0c\u5b83\u5141\u8bb8\u76f4\u63a5\u64cd\u4f5cExcel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
        from openpyxl import load_workbook<\/p>\n
        \u52a0\u8f7dExcel\u6587\u4ef6<\/strong><\/h2>\n
        wb = load_workbook('data.xlsx')<\/p>\n
        ws = wb.active<\/p>\n
        \u63d2\u5165\u8868\u5934<\/strong><\/h2>\n
        ws.insert_rows(1)<\/p>\n
        ws['A1'], ws['B1'], ws['C1'] = 'Column1', 'Column2', 'Column3'<\/p>\n
        \u4fdd\u5b58\u4fee\u6539\u540e\u7684\u6587\u4ef6<\/strong><\/h2>\n
        wb.save('data_with_header.xlsx')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        openpyxl\u5141\u8bb8\u76f4\u63a5\u5728\u5de5\u4f5c\u8868\u4e2d\u63d2\u5165\u884c\u6216\u5217\uff0c\u975e\u5e38\u9002\u5408\u9700\u8981\u590d\u6742Excel\u64cd\u4f5c\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001\u5176\u4ed6\u683c\u5f0f\u6587\u4ef6\u4e2d\u6dfb\u52a0\u8868\u5934<\/p>\n<\/p>\n
        \u9664\u4e86CSV\u548cExcel\u6587\u4ef6\uff0c\u60a8\u53ef\u80fd\u8fd8\u9700\u8981\u5904\u7406\u5176\u4ed6\u683c\u5f0f\u7684\u6570\u636e\u6587\u4ef6\uff0c\u5982JSON\u3001SQL\u6570\u636e\u5e93\u7b49\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u5904\u7406\u8fd9\u4e9b\u683c\u5f0f\u6587\u4ef6\u7684\u7b80\u5355\u4ecb\u7ecd\uff1a<\/p>\n<\/p>\n
          \n
        1. \n
          JSON\u6587\u4ef6<\/strong><\/p>\n<\/p>\n
          \u5728JSON\u6587\u4ef6\u4e2d\uff0c\u6570\u636e\u901a\u5e38\u4ee5\u5b57\u5178\u5f62\u5f0f\u5b58\u50a8\uff0c\u8868\u5934\u53ef\u4ee5\u901a\u8fc7\u952e\u540d\u76f4\u63a5\u6307\u5b9a\u3002\u5f53\u9700\u8981\u5c06JSON\u6570\u636e\u8f6c\u6362\u4e3a\u8868\u683c\u683c\u5f0f\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u8bfb\u53d6JSON\u6570\u636e\u5e76\u6307\u5b9a\u8868\u5934\u3002<\/p>\n<\/p>\n
          import pandas as pd<\/p>\n
          \u5047\u8bbeJSON\u6570\u636e\u5b58\u50a8\u5728\u6587\u4ef6\u4e2d<\/strong><\/h2>\n
          df = pd.read_json('data.json')<\/p>\n
          JSON\u6587\u4ef6\u901a\u5e38\u5df2\u7ecf\u5305\u542b\u8868\u5934\u4fe1\u606f\uff0c\u82e5\u9700\u8981\u4fee\u6539\u53ef\u76f4\u63a5\u66f4\u6539columns\u5c5e\u6027<\/strong><\/h2>\n
          df.columns = ['Column1', 'Column2', 'Column3']<\/p>\n
          <\/code><\/pre>\n<\/p>\n<\/li>\n
        2. \n
          SQL\u6570\u636e\u5e93<\/strong><\/p>\n<\/p>\n
          \u5728SQL\u6570\u636e\u5e93\u4e2d\uff0c\u8868\u5934\u7531\u6570\u636e\u5e93\u8868\u7684\u5217\u540d\u51b3\u5b9a\u3002\u901a\u8fc7SQL\u67e5\u8be2\u7ed3\u679c\u96c6\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\uff0c\u5e76\u53ef\u5728\u5fc5\u8981\u65f6\u4fee\u6539\u5217\u540d\u3002<\/p>\n<\/p>\n
          import pandas as pd<\/p>\n
          import sqlite3<\/p>\n
          \u8fde\u63a5\u5230SQLite\u6570\u636e\u5e93<\/strong><\/h2>\n
          conn = sqlite3.connect('database.db')<\/p>\n
          \u6267\u884cSQL\u67e5\u8be2<\/strong><\/h2>\n
          query = "SELECT * FROM tablename"<\/p>\n
          df = pd.read_sql_query(query, conn)<\/p>\n
          \u4fee\u6539DataFrame\u7684\u5217\u540d<\/strong><\/h2>\n
          df.columns = ['Column1', 'Column2', 'Column3']<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u5728\u5904\u7406SQL\u6570\u636e\u5e93\u65f6\uff0cPandas\u80fd\u591f\u6709\u6548\u5730\u5c06\u67e5\u8be2\u7ed3\u679c\u8f6c\u6362\u4e3aDataFrame\u683c\u5f0f\uff0c\u4fbf\u4e8e\u540e\u7eed\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4e94\u3001\u603b\u7ed3<\/p>\n<\/p>\n
          \u5728Python\u4e2d\u6dfb\u52a0\u8868\u5934\u7684\u8fc7\u7a0b\u6d89\u53ca\u591a\u79cd\u65b9\u6cd5\u548c\u5de5\u5177\u7684\u9009\u62e9\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u6570\u636e\u7684\u5b58\u50a8\u683c\u5f0f\u548c\u5206\u6790\u9700\u6c42\u3002Pandas\u5e93\u662f\u5904\u7406\u8868\u683c\u6570\u636e\u7684\u9996\u9009\u5de5\u5177\uff0c\u56e0\u5176\u529f\u80fd\u5f3a\u5927\u4e14\u6613\u4e8e\u4f7f\u7528\u3002<\/strong>\u5bf9\u4e8eCSV\u548cExcel\u6587\u4ef6\uff0cPandas\u63d0\u4f9b\u4e86\u7b80\u5355\u76f4\u89c2\u7684\u63a5\u53e3\u6765\u6dfb\u52a0\u8868\u5934\uff0c\u800c\u5728\u9700\u8981\u66f4\u590d\u6742\u7684Excel\u64cd\u4f5c\u65f6\uff0copenpyxl\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u9009\u62e9\u3002\u5bf9\u4e8eJSON\u548cSQL\u7b49\u683c\u5f0f\uff0cPandas\u540c\u6837\u80fd\u591f\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u636e\u8f6c\u6362\u548c\u8868\u5934\u4fee\u6539\u3002<\/p>\n<\/p>\n
          \u638c\u63e1\u8fd9\u4e9b\u6280\u80fd\u5c06\u5927\u5927\u63d0\u5347\u60a8\u5728\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u4e2d\u7684\u6548\u7387\u548c\u7075\u6d3b\u6027\u3002\u65e0\u8bba\u662f\u8fdb\u884c\u6570\u636e\u9884\u5904\u7406\u8fd8\u662f\u51c6\u5907\u6570\u636e\u53ef\u89c6\u5316\uff0c\u6b63\u786e\u6dfb\u52a0\u8868\u5934\u90fd\u662f\u6570\u636e\u5206\u6790\u6d41\u7a0b\u4e2d\u7684\u91cd\u8981\u4e00\u6b65\u3002<\/p>\n<\/p>\n
          \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
           \u5982\u4f55\u5728\u6ca1\u6709\u8868\u5934\u7684\u60c5\u51b5\u4e0b\u4e3aPython\u6570\u636e\u6dfb\u52a0\u5217\u540d\uff1f<\/strong>
          \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u6765\u5904\u7406\u6ca1\u6709\u8868\u5934\u7684\u6570\u636e\u3002\u901a\u8fc7\u5728\u8bfb\u53d6\u6570\u636e\u65f6\u8bbe\u7f6eheader=None<\/code>\u53c2\u6570\uff0c\u53ef\u4ee5\u5c06\u6570\u636e\u8bfb\u53d6\u4e3aDataFrame\uff0c\u7136\u540e\u4f7f\u7528columns<\/code>\u5c5e\u6027\u4e3a\u5176\u6dfb\u52a0\u81ea\u5b9a\u4e49\u5217\u540d\u3002\u4f8b\u5982\uff1a  <\/p>\n
          import pandas as pd\n\ndata = pd.read_csv('data.csv', header=None)\ndata.columns = ['\u5217\u540d1', '\u5217\u540d2', '\u5217\u540d3']\n<\/code><\/pre>\n
          \u5728\u5904\u7406CSV\u6587\u4ef6\u65f6\uff0c\u662f\u5426\u53ef\u4ee5\u76f4\u63a5\u5728\u8bfb\u53d6\u65f6\u6307\u5b9a\u5217\u540d\uff1f<\/strong>
          \u5f53\u7136\u53ef\u4ee5\u3002\u5728\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7names<\/code>\u53c2\u6570\u76f4\u63a5\u6307\u5b9a\u5217\u540d\uff0c\u800c\u65e0\u9700\u5148\u8bfb\u53d6\u6570\u636e\u518d\u4fee\u6539\u3002\u4f8b\u5982\uff1a  <\/p>\n
          data = pd.read_csv('data.csv', names=['\u5217\u540d1', '\u5217\u540d2', '\u5217\u540d3'])\n<\/code><\/pre>\n
          \u8fd9\u6837\uff0c\u6570\u636e\u4f1a\u76f4\u63a5\u4ee5\u6240\u6307\u5b9a\u7684\u5217\u540d\u52a0\u8f7d\u3002<\/p>\n
          \u5982\u679c\u4f7f\u7528NumPy\u6570\u7ec4\uff0c\u5982\u4f55\u4e3a\u6ca1\u6709\u8868\u5934\u7684\u6570\u636e\u6dfb\u52a0\u6807\u7b7e\uff1f<\/strong>
          \u5728\u4f7f\u7528NumPy\u5904\u7406\u6570\u7ec4\u65f6\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528Pandas\u7684DataFrame\u6765\u66f4\u65b9\u4fbf\u5730\u5904\u7406\u6807\u7b7e\u3002\u53ef\u4ee5\u5c06NumPy\u6570\u7ec4\u8f6c\u6362\u4e3aDataFrame\uff0c\u5e76\u8bbe\u7f6e\u5217\u540d\u3002\u4f8b\u5982\uff1a  <\/p>\n
          import numpy as np\nimport pandas as pd\n\narray_data = np.array([[1, 2, 3], [4, 5, 6]])\ndata = pd.DataFrame(array_data, columns=['\u5217\u540d1', '\u5217\u540d2', '\u5217\u540d3'])\n<\/code><\/pre>\n
          \u8fd9\u6837\uff0c\u60a8\u5c31\u53ef\u4ee5\u4e3aNumPy\u6570\u7ec4\u6dfb\u52a0\u6807\u7b7e\uff0c\u4f7f\u6570\u636e\u66f4\u6613\u4e8e\u7406\u89e3\u548c\u64cd\u4f5c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u6dfb\u52a0\u8868\u5934\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u521b\u5efaDataFrame\u3001\u901a\u8fc7csv\u6a21\u5757\u624b\u52a8\u6dfb\u52a0\u3001 […]","protected":false},"author":3,"featured_media":962494,"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\/962487"}],"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=962487"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/962487\/revisions"}],"predecessor-version":[{"id":962495,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/962487\/revisions\/962495"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/962494"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=962487"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=962487"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=962487"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}