{"id":1015378,"date":"2024-12-27T12:05:56","date_gmt":"2024-12-27T04:05:56","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1015378.html"},"modified":"2024-12-27T12:05:58","modified_gmt":"2024-12-27T04:05:58","slug":"python%e5%a6%82%e4%bd%95%e8%8e%b7%e5%8f%96%e8%a1%a8%e6%a0%bc%e8%a1%8c%e6%95%b0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1015378.html","title":{"rendered":"python\u5982\u4f55\u83b7\u53d6\u8868\u683c\u884c\u6570"},"content":{"rendered":"

\"python\u5982\u4f55\u83b7\u53d6\u8868\u683c\u884c\u6570\"<\/p>\n

\u5728Python\u4e2d\u83b7\u53d6\u8868\u683c\u7684\u884c\u6570\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\uff0c\u5982\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6CSV\u6587\u4ef6\u3001\u4f7f\u7528openpyxl\u5e93\u8bfb\u53d6Excel\u6587\u4ef6\u3001\u4f7f\u7528sqlite3\u5e93\u67e5\u8be2\u6570\u636e\u5e93\u7b49\u3002\u5177\u4f53\u65b9\u6cd5\u53d6\u51b3\u4e8e\u6570\u636e\u5b58\u50a8\u7684\u683c\u5f0f\u548c\u5de5\u5177\u3002<\/strong>\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\u6765\u83b7\u53d6\u8868\u683c\u7684\u884c\u6570\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6<\/p>\n<\/p>\n

Pandas\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u83b7\u53d6\u884c\u6570\u3002<\/p>\n<\/p>\n

    \n
  1. \u5b89\u88c5Pandas<\/li>\n<\/ol>\n

    \u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5Pandas\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

    pip install pandas<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u83b7\u53d6\u884c\u6570<\/li>\n<\/ol>\n
      import pandas as pd<\/p>\n
      \u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
      df = pd.read_csv('your_file.csv')<\/p>\n
      \u83b7\u53d6\u884c\u6570<\/strong><\/h2>\n
      row_count = len(df)<\/p>\n
      print(f"Row count: {row_count}")<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528pd.read_csv()<\/code>\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u901a\u8fc7len(df)<\/code>\u6765\u83b7\u53d6DataFrame\u7684\u884c\u6570\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001\u4f7f\u7528openpyxl\u8bfb\u53d6Excel\u6587\u4ef6<\/p>\n<\/p>\n
      openpyxl\u662f\u4e00\u4e2a\u7528\u4e8e\u5904\u7406Excel\u6587\u4ef6\u7684\u5e93\uff0c\u652f\u6301\u8bfb\u53d6\u3001\u5199\u5165\u548c\u4fee\u6539Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
        \n
      1. \u5b89\u88c5openpyxl<\/li>\n<\/ol>\n
        \u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5openpyxl\uff1a<\/p>\n<\/p>\n
        pip install openpyxl<\/p>\n
        <\/code><\/pre>\n<\/p>\n
          \n
        1. \u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u83b7\u53d6\u884c\u6570<\/li>\n<\/ol>\n
          from openpyxl import load_workbook<\/p>\n
          \u52a0\u8f7dExcel\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
          workbook = load_workbook(filename='your_file.xlsx')<\/p>\n
          \u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n
          sheet = workbook.active<\/p>\n
          \u83b7\u53d6\u884c\u6570<\/strong><\/h2>\n
          row_count = sheet.max_row<\/p>\n
          print(f"Row count: {row_count}")<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528load_workbook()<\/code>\u51fd\u6570\u52a0\u8f7dExcel\u6587\u4ef6\uff0c\u5e76\u901a\u8fc7sheet.max_row<\/code>\u5c5e\u6027\u83b7\u53d6\u5de5\u4f5c\u8868\u7684\u884c\u6570\u3002<\/p>\n<\/p>\n
          \u4e09\u3001\u4f7f\u7528sqlite3\u67e5\u8be2\u6570\u636e\u5e93<\/p>\n<\/p>\n
          \u5982\u679c\u6570\u636e\u5b58\u50a8\u5728SQLite\u6570\u636e\u5e93\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528sqlite3\u5e93\u6765\u67e5\u8be2\u8868\u683c\u7684\u884c\u6570\u3002<\/p>\n<\/p>\n
            \n
          1. \u8fde\u63a5\u5230\u6570\u636e\u5e93\u5e76\u67e5\u8be2\u884c\u6570<\/li>\n<\/ol>\n
            import sqlite3<\/p>\n
            \u8fde\u63a5\u5230SQLite\u6570\u636e\u5e93<\/strong><\/h2>\n
            connection = sqlite3.connect('your_database.db')<\/p>\n
            \u521b\u5efa\u6e38\u6807\u5bf9\u8c61<\/strong><\/h2>\n
            cursor = connection.cursor()<\/p>\n
            \u67e5\u8be2\u8868\u683c\u884c\u6570<\/strong><\/h2>\n
            cursor.execute("SELECT COUNT(*) FROM your_table")<\/p>\n
            row_count = cursor.fetchone()[0]<\/p>\n
            print(f"Row count: {row_count}")<\/p>\n
            \u5173\u95ed\u8fde\u63a5<\/strong><\/h2>\n
            connection.close()<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u8fde\u63a5\u5230SQLite\u6570\u636e\u5e93\uff0c\u7136\u540e\u4f7f\u7528SQL\u67e5\u8be2SELECT COUNT(*) FROM your_table<\/code>\u6765\u83b7\u53d6\u8868\u683c\u7684\u884c\u6570\u3002<\/p>\n<\/p>\n
            \u56db\u3001\u4f7f\u7528csv\u6a21\u5757\u8bfb\u53d6CSV\u6587\u4ef6<\/p>\n<\/p>\n
            Python\u5185\u7f6e\u7684csv\u6a21\u5757\u4e5f\u53ef\u4ee5\u7528\u4e8e\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u83b7\u53d6\u884c\u6570\u3002<\/p>\n<\/p>\n
              \n
            1. \u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u83b7\u53d6\u884c\u6570<\/li>\n<\/ol>\n
              import csv<\/p>\n
              \u6253\u5f00CSV\u6587\u4ef6<\/strong><\/h2>\n
              with open('your_file.csv', newline='') as csvfile:<\/p>\n
                  csvreader = csv.reader(csvfile)<\/p>\n
                  # \u83b7\u53d6\u884c\u6570<\/p>\n
                  row_count = sum(1 for row in csvreader)<\/p>\n
                  print(f"Row count: {row_count}")<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528csv.reader()<\/code>\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u901a\u8fc7\u751f\u6210\u5668\u8868\u8fbe\u5f0fsum(1 for row in csvreader)<\/code>\u8ba1\u7b97\u884c\u6570\u3002<\/p>\n<\/p>\n
              \u4e94\u3001\u4f7f\u7528xlrd\u8bfb\u53d6Excel\u6587\u4ef6<\/p>\n<\/p>\n
              \u9664\u4e86openpyxl\uff0cxlrd\u4e5f\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u5e93\uff0c\u4f46\u5b83\u53ea\u652f\u6301\u8bfb\u53d6\u65e7\u683c\u5f0f\u7684Excel\u6587\u4ef6\uff08.xls\uff09\u3002<\/p>\n<\/p>\n
                \n
              1. \u5b89\u88c5xlrd<\/li>\n<\/ol>\n
                \u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5xlrd\uff1a<\/p>\n<\/p>\n
                pip install xlrd<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                  \n
                1. \u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u83b7\u53d6\u884c\u6570<\/li>\n<\/ol>\n
                  import xlrd<\/p>\n
                  \u6253\u5f00Excel\u6587\u4ef6<\/strong><\/h2>\n
                  workbook = xlrd.open_workbook('your_file.xls')<\/p>\n
                  \u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n
                  sheet = workbook.sheet_by_index(0)<\/p>\n
                  \u83b7\u53d6\u884c\u6570<\/strong><\/h2>\n
                  row_count = sheet.nrows<\/p>\n
                  print(f"Row count: {row_count}")<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528xlrd.open_workbook()<\/code>\u51fd\u6570\u6253\u5f00Excel\u6587\u4ef6\uff0c\u5e76\u901a\u8fc7sheet.nrows<\/code>\u5c5e\u6027\u83b7\u53d6\u5de5\u4f5c\u8868\u7684\u884c\u6570\u3002<\/p>\n<\/p>\n
                  \u516d\u3001\u4f7f\u7528Google Sheets API\u83b7\u53d6Google\u8868\u683c\u884c\u6570<\/p>\n<\/p>\n
                  \u5982\u679c\u6570\u636e\u5b58\u50a8\u5728Google Sheets\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Google Sheets API\u6765\u83b7\u53d6\u884c\u6570\u3002<\/p>\n<\/p>\n
                    \n
                  1. \u8bbe\u7f6eGoogle Sheets API<\/li>\n<\/ol>\n
                    \u9996\u5148\uff0c\u9700\u8981\u5728Google Cloud Platform\u4e0a\u542f\u7528Google Sheets API\uff0c\u5e76\u521b\u5efaOAuth 2.0\u51ed\u636e\u3002<\/p>\n<\/p>\n
                      \n
                    1. \u5b89\u88c5\u6240\u9700\u7684Python\u5e93<\/li>\n<\/ol>\n
                      pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                        \n
                      1. \u4f7f\u7528Google Sheets API\u83b7\u53d6\u884c\u6570<\/li>\n<\/ol>\n
                        from google.oauth2 import service_account<\/p>\n
                        from googleapiclient.discovery import build<\/p>\n
                        \u8bbe\u7f6eAPI\u51ed\u636e<\/strong><\/h2>\n
                        SCOPES = ['https:\/\/www.googleapis.com\/auth\/spreadsheets.readonly']<\/p>\n
                        SERVICE_ACCOUNT_FILE = 'path\/to\/your\/service\/account\/credentials.json'<\/p>\n
                        credentials = service_account.Credentials.from_service_account_file(<\/p>\n
                            SERVICE_ACCOUNT_FILE, scopes=SCOPES)<\/p>\n
                        \u5efa\u7acb\u670d\u52a1<\/strong><\/h2>\n
                        service = build('sheets', 'v4', credentials=credentials)<\/p>\n
                        \u8bfb\u53d6Google\u8868\u683c<\/strong><\/h2>\n
                        SPREADSHEET_ID = 'your_spreadsheet_id'<\/p>\n
                        RANGE_NAME = 'Sheet1!A1:A1000'  # \u5047\u8bbe\u6700\u591a1000\u884c<\/p>\n
                        \u8c03\u7528API\u83b7\u53d6\u6570\u636e<\/strong><\/h2>\n
                        result = service.spreadsheets().values().get(spreadsheetId=SPREADSHEET_ID, range=RANGE_NAME).execute()<\/p>\n
                        values = result.get('values', [])<\/p>\n
                        \u83b7\u53d6\u884c\u6570<\/strong><\/h2>\n
                        row_count = len(values)<\/p>\n
                        print(f"Row count: {row_count}")<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                        \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Google Sheets API\u8bfb\u53d6Google\u8868\u683c\u6570\u636e\uff0c\u5e76\u901a\u8fc7\u8ba1\u7b97\u8fd4\u56de\u7684\u6570\u636e\u884c\u6570\u6765\u83b7\u53d6\u603b\u884c\u6570\u3002<\/p>\n<\/p>\n
                        \u4e03\u3001\u4f7f\u7528pyodbc\u67e5\u8be2SQL Server\u6570\u636e\u5e93<\/p>\n<\/p>\n
                        \u5982\u679c\u6570\u636e\u5b58\u50a8\u5728SQL Server\u6570\u636e\u5e93\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528pyodbc\u5e93\u6765\u67e5\u8be2\u8868\u683c\u7684\u884c\u6570\u3002<\/p>\n<\/p>\n
                          \n
                        1. \u5b89\u88c5pyodbc<\/li>\n<\/ol>\n
                          \u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5pyodbc\uff1a<\/p>\n<\/p>\n
                          pip install pyodbc<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                            \n
                          1. \u8fde\u63a5\u5230SQL Server\u5e76\u67e5\u8be2\u884c\u6570<\/li>\n<\/ol>\n
                            import pyodbc<\/p>\n
                            \u8fde\u63a5\u5230SQL Server\u6570\u636e\u5e93<\/strong><\/h2>\n
                            connection = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server};SERVER=your_server;DATABASE=your_database;UID=your_username;PWD=your_password')<\/p>\n
                            \u521b\u5efa\u6e38\u6807\u5bf9\u8c61<\/strong><\/h2>\n
                            cursor = connection.cursor()<\/p>\n
                            \u67e5\u8be2\u8868\u683c\u884c\u6570<\/strong><\/h2>\n
                            cursor.execute("SELECT COUNT(*) FROM your_table")<\/p>\n
                            row_count = cursor.fetchone()[0]<\/p>\n
                            print(f"Row count: {row_count}")<\/p>\n
                            \u5173\u95ed\u8fde\u63a5<\/strong><\/h2>\n
                            connection.close()<\/p>\n
                            <\/code><\/pre>\n<\/p>\n
                            \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528pyodbc\u8fde\u63a5\u5230SQL Server\u6570\u636e\u5e93\uff0c\u5e76\u901a\u8fc7\u6267\u884cSQL\u67e5\u8be2\u83b7\u53d6\u8868\u683c\u7684\u884c\u6570\u3002<\/p>\n<\/p>\n
                            \u603b\u7ed3<\/p>\n<\/p>\n
                            \u83b7\u53d6\u8868\u683c\u7684\u884c\u6570\u5728\u6570\u636e\u5206\u6790\u4e2d\u662f\u4e00\u4e2a\u975e\u5e38\u5e38\u89c1\u7684\u9700\u6c42\uff0cPython\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\u3002\u6839\u636e\u6570\u636e\u5b58\u50a8\u7684\u683c\u5f0f\u548c\u5de5\u5177\u7684\u4e0d\u540c\uff0c\u53ef\u4ee5\u9009\u62e9\u4f7f\u7528Pandas\u3001openpyxl\u3001sqlite3\u3001csv\u6a21\u5757\u3001xlrd\u3001Google Sheets API\u6216pyodbc\u7b49\u5de5\u5177\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u7279\u5b9a\u7684\u5e94\u7528\u573a\u666f\u548c\u4f18\u7f3a\u70b9\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u6709\u6548\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002\u65e0\u8bba\u4f7f\u7528\u54ea\u79cd\u65b9\u6cd5\uff0c\u7406\u89e3\u6570\u636e\u683c\u5f0f\u548c\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u90fd\u662f\u6210\u529f\u83b7\u53d6\u6570\u636e\u884c\u6570\u7684\u5173\u952e\u3002<\/p>\n<\/p>\n
                            \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                             \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u8868\u683c\u6570\u636e\u4ee5\u83b7\u53d6\u884c\u6570\uff1f<\/strong>
                            \u5728Python\u4e2d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u5e93\u6765\u8bfb\u53d6\u8868\u683c\u6570\u636e\uff0c\u4f8b\u5982Pandas\u548copenpyxl\u3002\u4f7f\u7528Pandas\u5e93\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7pd.read_csv()<\/code>\u6216pd.read_excel()<\/code>\u51fd\u6570\u8bfb\u53d6CSV\u6216Excel\u6587\u4ef6\uff0c\u63a5\u7740\u4f7f\u7528len(dataframe)<\/code>\u6765\u83b7\u53d6\u884c\u6570\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n
                            import pandas as pd\n\ndata = pd.read_csv('file.csv')  # \u5bf9\u4e8eCSV\u6587\u4ef6\n# data = pd.read_excel('file.xlsx')  # \u5bf9\u4e8eExcel\u6587\u4ef6\nrow_count = len(data)\nprint("\u884c\u6570:", row_count)\n<\/code><\/pre>\n
                            \u4f7f\u7528Python\u83b7\u53d6Excel\u6587\u4ef6\u7684\u884c\u6570\u65f6\u9700\u8981\u6ce8\u610f\u4ec0\u4e48\uff1f<\/strong>
                            \u5728\u5904\u7406Excel\u6587\u4ef6\u65f6\uff0c\u786e\u4fdd\u60a8\u5df2\u5b89\u88c5openpyxl<\/code>\u6216xlrd<\/code>\u5e93\uff0c\u56e0\u4e3a\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u5904\u7406Excel\u683c\u5f0f\u6240\u9700\u7684\u529f\u80fd\u3002\u4f7f\u7528openpyxl<\/code>\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7worksheet.max_row<\/code>\u5c5e\u6027\u76f4\u63a5\u83b7\u53d6\u884c\u6570\uff0c\u8fd9\u79cd\u65b9\u5f0f\u66f4\u52a0\u9ad8\u6548\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n
                            from openpyxl import load_workbook\n\nworkbook = load_workbook('file.xlsx')\nworksheet = workbook.active\nrow_count = worksheet.max_row\nprint("\u884c\u6570:", row_count)\n<\/code><\/pre>\n
                            \u5728Python\u4e2d\u83b7\u53d6CSV\u6587\u4ef6\u7684\u884c\u6570\u662f\u5426\u4f1a\u5f71\u54cd\u5185\u5b58\u4f7f\u7528\uff1f<\/strong>
                            \u8bfb\u53d6\u5927\u578bCSV\u6587\u4ef6\u65f6\uff0c\u5185\u5b58\u4f7f\u7528\u53ef\u80fd\u4f1a\u663e\u8457\u589e\u52a0\u3002\u4e3a\u4e86\u4f18\u5316\u6027\u80fd\uff0c\u60a8\u53ef\u4ee5\u8003\u8651\u4f7f\u7528chunksize<\/code>\u53c2\u6570\u9010\u5757\u8bfb\u53d6\u6570\u636e\uff0c\u6216\u4f7f\u7528dask<\/code>\u5e93\u5904\u7406\u8d85\u5927\u6570\u636e\u96c6\uff0c\u4ee5\u907f\u514d\u5185\u5b58\u6ea2\u51fa\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528Pandas\u9010\u5757\u8bfb\u53d6\u7684\u793a\u4f8b\uff1a<\/p>\n
                            import pandas as pd\n\nrow_count = 0\nfor chunk in pd.read_csv('file.csv', chunksize=1000):\n    row_count += len(chunk)\nprint("\u884c\u6570:", row_count)\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u83b7\u53d6\u8868\u683c\u7684\u884c\u6570\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\uff0c\u5982\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6CSV\u6587\u4ef6\u3001\u4f7f\u7528openpyxl\u5e93\u8bfb\u53d6 […]","protected":false},"author":3,"featured_media":1015381,"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\/1015378"}],"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=1015378"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1015378\/revisions"}],"predecessor-version":[{"id":1015386,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1015378\/revisions\/1015386"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1015381"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1015378"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1015378"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1015378"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}