{"id":1081851,"date":"2025-01-08T12:43:24","date_gmt":"2025-01-08T04:43:24","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1081851.html"},"modified":"2025-01-08T12:43:26","modified_gmt":"2025-01-08T04:43:26","slug":"python%e5%a6%82%e4%bd%95%e4%bb%8e%e8%a1%a8%e4%b8%ad%e8%b5%8b%e5%80%bc%e7%bb%99%e5%8f%98%e9%87%8f-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1081851.html","title":{"rendered":"python\u5982\u4f55\u4ece\u8868\u4e2d\u8d4b\u503c\u7ed9\u53d8\u91cf"},"content":{"rendered":"

\"python\u5982\u4f55\u4ece\u8868\u4e2d\u8d4b\u503c\u7ed9\u53d8\u91cf\"<\/p>\n

Python\u5982\u4f55\u4ece\u8868\u4e2d\u8d4b\u503c\u7ed9\u53d8\u91cf<\/strong><\/p>\n<\/p>\n

\u5728Python\u4e2d\uff0c\u4ece\u8868\uff08\u901a\u5e38\u4e3a\u6570\u636e\u5e93\u8868\uff09\u4e2d\u8d4b\u503c\u7ed9\u53d8\u91cf\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528SQL\u67e5\u8be2\u3001\u6570\u636e\u5e93\u8fde\u63a5\u5e93\u3001DataFrame\u64cd\u4f5c<\/strong>\u7b49\u3002\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528SQL\u67e5\u8be2\u7ed3\u5408\u6570\u636e\u5e93\u8fde\u63a5\u5e93\u5982sqlite3\u3001pymysql\u3001SQLAlchemy\u7b49<\/strong>\u3002\u4f8b\u5982\uff0c\u4f7f\u7528sqlite3\u5e93\u53ef\u4ee5\u901a\u8fc7\u6267\u884cSQL\u67e5\u8be2\u8bed\u53e5\u6765\u83b7\u53d6\u8868\u4e2d\u7684\u6570\u636e\uff0c\u5e76\u5c06\u5176\u8d4b\u503c\u7ed9\u53d8\u91cf<\/strong>\u3002\u4e0b\u9762\u662f\u8be6\u7ec6\u63cf\u8ff0\uff1a<\/p>\n<\/p>\n

\u4f7f\u7528SQL\u67e5\u8be2\u548csqlite3\u5e93<\/strong><\/p>\n<\/p>\n

\u4f7f\u7528sqlite3\u5e93\u4eceSQLite\u6570\u636e\u5e93\u8868\u4e2d\u8d4b\u503c\u7ed9\u53d8\u91cf\u7684\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

    \n
  1. \u8fde\u63a5\u5230\u6570\u636e\u5e93\u3002<\/li>\n
  2. \u521b\u5efa\u4e00\u4e2aCursor\u5bf9\u8c61\u3002<\/li>\n
  3. \u6267\u884cSQL\u67e5\u8be2\u8bed\u53e5\u3002<\/li>\n
  4. \u83b7\u53d6\u67e5\u8be2\u7ed3\u679c\u3002<\/li>\n
  5. \u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5\u3002<\/li>\n<\/ol>\n

    \u4ee5\u4e0b\u662f\u4e00\u4e2a\u5177\u4f53\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n

    import sqlite3<\/p>\n
    1. \u8fde\u63a5\u5230\u6570\u636e\u5e93<\/strong><\/h2>\n
    conn = sqlite3.connect('example.db')<\/p>\n
    2. \u521b\u5efa\u4e00\u4e2aCursor\u5bf9\u8c61<\/strong><\/h2>\n
    cursor = conn.cursor()<\/p>\n
    3. \u6267\u884cSQL\u67e5\u8be2\u8bed\u53e5<\/strong><\/h2>\n
    cursor.execute("SELECT column_name FROM table_name WHERE condition")<\/p>\n
    4. \u83b7\u53d6\u67e5\u8be2\u7ed3\u679c<\/strong><\/h2>\n
    row = cursor.fetchone()<\/p>\n
    variable = row[0]<\/p>\n
    5. \u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n
    conn.close()<\/p>\n
    print(variable)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u9996\u5148\u8fde\u63a5\u5230\u6570\u636e\u5e93\uff0c\u7136\u540e\u521b\u5efa\u4e00\u4e2aCursor\u5bf9\u8c61\u3002\u63a5\u4e0b\u6765\uff0c\u4f7f\u7528Cursor\u5bf9\u8c61\u6267\u884cSQL\u67e5\u8be2\u8bed\u53e5\uff0c\u67e5\u8be2\u7ed3\u679c\u901a\u8fc7fetchone()<\/code>\u65b9\u6cd5\u83b7\u53d6\uff0c\u6700\u540e\u5c06\u7ed3\u679c\u8d4b\u503c\u7ed9\u53d8\u91cf\uff0c\u5e76\u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5\u3002<\/p>\n<\/p>\n
    \u4e00\u3001\u4f7f\u7528SQLAlchemy<\/h3>\n<\/p>\n
    SQLAlchemy\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684Python SQL\u5de5\u5177\u5305\u548c\u5bf9\u8c61\u5173\u7cfb\u6620\u5c04\u5668\uff08ORM\uff09\u3002\u4f7f\u7528SQLAlchemy\u53ef\u4ee5\u66f4\u65b9\u4fbf\u5730\u4ece\u8868\u4e2d\u83b7\u53d6\u6570\u636e\u5e76\u8d4b\u503c\u7ed9\u53d8\u91cf\u3002<\/p>\n<\/p>\n
      \n
    1. \u5b89\u88c5SQLAlchemy\uff1a<\/li>\n<\/ol>\n
      pip install sqlalchemy<\/p>\n
      <\/code><\/pre>\n<\/p>\n
        \n
      1. \u4f7f\u7528SQLAlchemy\u4ece\u8868\u4e2d\u83b7\u53d6\u6570\u636e\u5e76\u8d4b\u503c\u7ed9\u53d8\u91cf\uff1a<\/li>\n<\/ol>\n
        from sqlalchemy import create_engine, MetaData, Table, select<\/p>\n
        1. \u521b\u5efa\u6570\u636e\u5e93\u5f15\u64ce<\/strong><\/h2>\n
        engine = create_engine('sqlite:\/\/\/example.db')<\/p>\n
        2. \u521b\u5efaMetaData\u5bf9\u8c61<\/strong><\/h2>\n
        metadata = MetaData()<\/p>\n
        3. \u53cd\u5c04\u8868<\/strong><\/h2>\n
        table = Table('table_name', metadata, autoload_with=engine)<\/p>\n
        4. \u521b\u5efa\u9009\u62e9\u8bed\u53e5<\/strong><\/h2>\n
        stmt = select([table.c.column_name]).where(table.c.condition == 'value')<\/p>\n
        5. \u6267\u884c\u67e5\u8be2\u5e76\u83b7\u53d6\u7ed3\u679c<\/strong><\/h2>\n
        with engine.connect() as conn:<\/p>\n
            result = conn.execute(stmt).fetchone()<\/p>\n
            variable = result[0]<\/p>\n
        print(variable)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e00\u4e2a\u6570\u636e\u5e93\u5f15\u64ce\uff0c\u7136\u540e\u53cd\u5c04\u8868\u7ed3\u6784\uff0c\u521b\u5efa\u9009\u62e9\u8bed\u53e5\uff0c\u5e76\u6267\u884c\u67e5\u8be2\u83b7\u53d6\u7ed3\u679c\u3002SQLAlchemy\u7684\u4f18\u52bf\u5728\u4e8e\u5b83\u63d0\u4f9b\u4e86\u9ad8\u7ea7\u7684ORM\u529f\u80fd\uff0c\u4f7f\u5f97\u64cd\u4f5c\u6570\u636e\u5e93\u66f4\u52a0\u7b80\u6d01\u548c\u76f4\u89c2<\/strong>\u3002<\/p>\n<\/p>\n
        \u4e8c\u3001\u4f7f\u7528Pandas<\/h3>\n<\/p>\n
        Pandas\u662f\u4e00\u4e2a\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u5e93\uff0c\u4f7f\u7528Pandas\u53ef\u4ee5\u65b9\u4fbf\u5730\u4ece\u6570\u636e\u5e93\u4e2d\u8bfb\u53d6\u6570\u636e\u5e76\u8d4b\u503c\u7ed9\u53d8\u91cf\u3002<\/p>\n<\/p>\n
          \n
        1. \u5b89\u88c5Pandas\uff1a<\/li>\n<\/ol>\n
          pip install pandas<\/p>\n
          <\/code><\/pre>\n<\/p>\n
            \n
          1. \u4f7f\u7528Pandas\u4ece\u6570\u636e\u5e93\u8868\u4e2d\u83b7\u53d6\u6570\u636e\uff1a<\/li>\n<\/ol>\n
            import pandas as pd<\/p>\n
            import sqlite3<\/p>\n
            1. \u8fde\u63a5\u5230\u6570\u636e\u5e93<\/strong><\/h2>\n
            conn = sqlite3.connect('example.db')<\/p>\n
            2. \u6267\u884cSQL\u67e5\u8be2\u5e76\u5c06\u7ed3\u679c\u8bfb\u53d6\u5230DataFrame\u4e2d<\/strong><\/h2>\n
            df = pd.read_sql_query("SELECT column_name FROM table_name WHERE condition", conn)<\/p>\n
            3. \u83b7\u53d6\u53d8\u91cf<\/strong><\/h2>\n
            variable = df['column_name'].iloc[0]<\/p>\n
            4. \u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n
            conn.close()<\/p>\n
            print(variable)<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Pandas\u7684read_sql_query<\/code>\u65b9\u6cd5\u5c06SQL\u67e5\u8be2\u7ed3\u679c\u8bfb\u53d6\u5230DataFrame\u4e2d\uff0c\u7136\u540e\u901a\u8fc7DataFrame\u64cd\u4f5c\u83b7\u53d6\u53d8\u91cf\u503c\u3002Pandas\u7684\u4f18\u70b9\u5728\u4e8e\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u64cd\u4f5c\u548c\u5206\u6790\u529f\u80fd<\/strong>\u3002<\/p>\n<\/p>\n
            \u4e09\u3001\u4f7f\u7528pymysql<\/h3>\n<\/p>\n
            pymysql\u662f\u4e00\u4e2a\u7528\u4e8e\u8fde\u63a5MySQL\u6570\u636e\u5e93\u7684\u5e93\uff0c\u4f7f\u7528pymysql\u53ef\u4ee5\u4eceMySQL\u6570\u636e\u5e93\u8868\u4e2d\u83b7\u53d6\u6570\u636e\u5e76\u8d4b\u503c\u7ed9\u53d8\u91cf\u3002<\/p>\n<\/p>\n
              \n
            1. \u5b89\u88c5pymysql\uff1a<\/li>\n<\/ol>\n
              pip install pymysql<\/p>\n
              <\/code><\/pre>\n<\/p>\n
                \n
              1. \u4f7f\u7528pymysql\u4eceMySQL\u6570\u636e\u5e93\u8868\u4e2d\u83b7\u53d6\u6570\u636e\uff1a<\/li>\n<\/ol>\n
                import pymysql<\/p>\n
                1. \u8fde\u63a5\u5230\u6570\u636e\u5e93<\/strong><\/h2>\n
                connection = pymysql.connect(host='localhost',<\/p>\n
                                             user='user',<\/p>\n
                                             password='password',<\/p>\n
                                             db='database_name')<\/p>\n
                try:<\/p>\n
                    # 2. \u521b\u5efa\u4e00\u4e2aCursor\u5bf9\u8c61<\/p>\n
                    with connection.cursor() as cursor:<\/p>\n
                        # 3. \u6267\u884cSQL\u67e5\u8be2\u8bed\u53e5<\/p>\n
                        cursor.execute("SELECT column_name FROM table_name WHERE condition")<\/p>\n
                        # 4. \u83b7\u53d6\u67e5\u8be2\u7ed3\u679c<\/p>\n
                        row = cursor.fetchone()<\/p>\n
                        variable = row[0]<\/p>\n
                finally:<\/p>\n
                    # 5. \u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5<\/p>\n
                    connection.close()<\/p>\n
                print(variable)<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u8fde\u63a5\u5230MySQL\u6570\u636e\u5e93\uff0c\u7136\u540e\u521b\u5efa\u4e00\u4e2aCursor\u5bf9\u8c61\uff0c\u6267\u884cSQL\u67e5\u8be2\u8bed\u53e5\uff0c\u83b7\u53d6\u67e5\u8be2\u7ed3\u679c\uff0c\u5e76\u5c06\u7ed3\u679c\u8d4b\u503c\u7ed9\u53d8\u91cf\uff0c\u6700\u540e\u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5\u3002pymysql\u9002\u7528\u4e8e\u4e0eMySQL\u6570\u636e\u5e93\u4ea4\u4e92\u7684\u573a\u666f<\/strong>\u3002<\/p>\n<\/p>\n
                \u56db\u3001\u4f7f\u7528psycopg2<\/h3>\n<\/p>\n
                psycopg2\u662f\u4e00\u4e2a\u7528\u4e8e\u8fde\u63a5PostgreSQL\u6570\u636e\u5e93\u7684\u5e93\uff0c\u4f7f\u7528psycopg2\u53ef\u4ee5\u4ecePostgreSQL\u6570\u636e\u5e93\u8868\u4e2d\u83b7\u53d6\u6570\u636e\u5e76\u8d4b\u503c\u7ed9\u53d8\u91cf\u3002<\/p>\n<\/p>\n
                  \n
                1. \u5b89\u88c5psycopg2\uff1a<\/li>\n<\/ol>\n
                  pip install psycopg2<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                    \n
                  1. \u4f7f\u7528psycopg2\u4ecePostgreSQL\u6570\u636e\u5e93\u8868\u4e2d\u83b7\u53d6\u6570\u636e\uff1a<\/li>\n<\/ol>\n
                    import psycopg2<\/p>\n
                    1. \u8fde\u63a5\u5230\u6570\u636e\u5e93<\/strong><\/h2>\n
                    connection = psycopg2.connect(user="user",<\/p>\n
                                                  password="password",<\/p>\n
                                                  host="127.0.0.1",<\/p>\n
                                                  port="5432",<\/p>\n
                                                  database="database_name")<\/p>\n
                    try:<\/p>\n
                        # 2. \u521b\u5efa\u4e00\u4e2aCursor\u5bf9\u8c61<\/p>\n
                        cursor = connection.cursor()<\/p>\n
                        # 3. \u6267\u884cSQL\u67e5\u8be2\u8bed\u53e5<\/p>\n
                        cursor.execute("SELECT column_name FROM table_name WHERE condition")<\/p>\n
                        # 4. \u83b7\u53d6\u67e5\u8be2\u7ed3\u679c<\/p>\n
                        row = cursor.fetchone()<\/p>\n
                        variable = row[0]<\/p>\n
                    finally:<\/p>\n
                        # 5. \u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5<\/p>\n
                        cursor.close()<\/p>\n
                        connection.close()<\/p>\n
                    print(variable)<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u8fde\u63a5\u5230PostgreSQL\u6570\u636e\u5e93\uff0c\u7136\u540e\u521b\u5efa\u4e00\u4e2aCursor\u5bf9\u8c61\uff0c\u6267\u884cSQL\u67e5\u8be2\u8bed\u53e5\uff0c\u83b7\u53d6\u67e5\u8be2\u7ed3\u679c\uff0c\u5e76\u5c06\u7ed3\u679c\u8d4b\u503c\u7ed9\u53d8\u91cf\uff0c\u6700\u540e\u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5\u3002psycopg2\u9002\u7528\u4e8e\u4e0ePostgreSQL\u6570\u636e\u5e93\u4ea4\u4e92\u7684\u573a\u666f<\/strong>\u3002<\/p>\n<\/p>\n
                    \u4e94\u3001\u4f7f\u7528PyODBC<\/h3>\n<\/p>\n
                    PyODBC\u662f\u4e00\u4e2a\u7528\u4e8e\u8fde\u63a5\u4e0d\u540c\u7c7b\u578b\u6570\u636e\u5e93\u7684\u5e93\uff0c\u4f7f\u7528PyODBC\u53ef\u4ee5\u4ece\u5404\u79cd\u6570\u636e\u5e93\u8868\u4e2d\u83b7\u53d6\u6570\u636e\u5e76\u8d4b\u503c\u7ed9\u53d8\u91cf\u3002<\/p>\n<\/p>\n
                      \n
                    1. \u5b89\u88c5PyODBC\uff1a<\/li>\n<\/ol>\n
                      pip install pyodbc<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                        \n
                      1. \u4f7f\u7528PyODBC\u4ece\u6570\u636e\u5e93\u8868\u4e2d\u83b7\u53d6\u6570\u636e\uff1a<\/li>\n<\/ol>\n
                        import pyodbc<\/p>\n
                        1. \u8fde\u63a5\u5230\u6570\u636e\u5e93<\/strong><\/h2>\n
                        connection = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server};SERVER=server_name;DATABASE=database_name;UID=user;PWD=password')<\/p>\n
                        try:<\/p>\n
                            # 2. \u521b\u5efa\u4e00\u4e2aCursor\u5bf9\u8c61<\/p>\n
                            cursor = connection.cursor()<\/p>\n
                            # 3. \u6267\u884cSQL\u67e5\u8be2\u8bed\u53e5<\/p>\n
                            cursor.execute("SELECT column_name FROM table_name WHERE condition")<\/p>\n
                            # 4. \u83b7\u53d6\u67e5\u8be2\u7ed3\u679c<\/p>\n
                            row = cursor.fetchone()<\/p>\n
                            variable = row[0]<\/p>\n
                        finally:<\/p>\n
                            # 5. \u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5<\/p>\n
                            cursor.close()<\/p>\n
                            connection.close()<\/p>\n
                        print(variable)<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                        \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u8fde\u63a5\u5230\u6570\u636e\u5e93\uff0c\u7136\u540e\u521b\u5efa\u4e00\u4e2aCursor\u5bf9\u8c61\uff0c\u6267\u884cSQL\u67e5\u8be2\u8bed\u53e5\uff0c\u83b7\u53d6\u67e5\u8be2\u7ed3\u679c\uff0c\u5e76\u5c06\u7ed3\u679c\u8d4b\u503c\u7ed9\u53d8\u91cf\uff0c\u6700\u540e\u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5\u3002PyODBC\u9002\u7528\u4e8e\u4e0e\u591a\u79cd\u6570\u636e\u5e93\u7c7b\u578b\u4ea4\u4e92\u7684\u573a\u666f<\/strong>\u3002<\/p>\n<\/p>\n
                        \u603b\u7ed3<\/h3>\n<\/p>\n
                        \u4ece\u8868\u4e2d\u8d4b\u503c\u7ed9\u53d8\u91cf\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u6839\u636e\u5177\u4f53\u7684\u9700\u6c42\u548c\u6570\u636e\u5e93\u7c7b\u578b\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u975e\u5e38\u91cd\u8981\u3002\u65e0\u8bba\u662f\u4f7f\u7528sqlite3\u3001SQLAlchemy\u3001Pandas\u3001pymysql\u3001psycopg2\u8fd8\u662fPyODBC\uff0c\u90fd\u53ef\u4ee5\u65b9\u4fbf\u5730\u4ece\u8868\u4e2d\u83b7\u53d6\u6570\u636e\u5e76\u8d4b\u503c\u7ed9\u53d8\u91cf<\/strong>\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u4f18\u52bf\u548c\u9002\u7528\u573a\u666f\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u60c5\u51b5\u9009\u62e9\u6700\u9002\u5408\u7684\u5de5\u5177\u548c\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
                        \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                         \u5728Python\u4e2d\uff0c\u5982\u4f55\u4ece\u8868\u683c\u4e2d\u8bfb\u53d6\u6570\u636e\u5e76\u8d4b\u503c\u7ed9\u53d8\u91cf\uff1f<\/strong>
                        \u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u6765\u5904\u7406\u8868\u683c\u6570\u636e\u3002\u9996\u5148\uff0c\u901a\u8fc7pandas.read_csv()<\/code>\u6216pandas.read_excel()<\/code>\u7b49\u51fd\u6570\u8bfb\u53d6\u6570\u636e\u6587\u4ef6\u3002\u8bfb\u53d6\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528DataFrame\u7684\u7d22\u5f15\u548c\u5217\u540d\u6765\u9009\u62e9\u7279\u5b9a\u7684\u6570\u636e\uff0c\u5e76\u5c06\u5176\u8d4b\u503c\u7ed9\u53d8\u91cf\u3002\u4f8b\u5982\uff1a  <\/p>\n
                        import pandas as pd\n\ndata = pd.read_csv('file.csv')  # \u8bfb\u53d6CSV\u6587\u4ef6\nvalue = data['column_name'][0]  # \u83b7\u53d6\u7279\u5b9a\u5217\u7684\u7b2c\u4e00\u884c\u6570\u636e\n<\/code><\/pre>\n
                        \u662f\u5426\u53ef\u4ee5\u4f7f\u7528\u5176\u4ed6\u5e93\u6765\u4ece\u8868\u683c\u4e2d\u63d0\u53d6\u6570\u636e\u5e76\u8d4b\u503c\u7ed9\u53d8\u91cf\uff1f<\/strong>
                        \u9664\u4e86Pandas\uff0cPython\u8fd8\u6709\u5176\u4ed6\u5e93\u53ef\u4ee5\u5904\u7406\u8868\u683c\u6570\u636e\uff0c\u4f8b\u5982OpenPyXL\u7528\u4e8eExcel\u6587\u4ef6\uff0ccsv\u6a21\u5757\u7528\u4e8eCSV\u6587\u4ef6\u3002\u8fd9\u4e9b\u5e93\u4e5f\u53ef\u4ee5\u5e2e\u52a9\u4f60\u63d0\u53d6\u7279\u5b9a\u7684\u6570\u636e\u5e76\u8d4b\u503c\u7ed9\u53d8\u91cf\u3002\u4f8b\u5982\uff1a  <\/p>\n
                        import csv\n\nwith open('file.csv', mode='r') as file:\n    reader = csv.reader(file)\n    for row in reader:\n        value = row[0]  # \u83b7\u53d6\u6bcf\u4e00\u884c\u7684\u7b2c\u4e00\u5217\u6570\u636e\n<\/code><\/pre>\n
                        \u4ece\u8868\u683c\u4e2d\u63d0\u53d6\u6570\u636e\u65f6\uff0c\u5982\u4f55\u5904\u7406\u7f3a\u5931\u503c\u6216\u5f02\u5e38\u503c\uff1f<\/strong>
                        \u5728\u63d0\u53d6\u6570\u636e\u65f6\uff0c\u5904\u7406\u7f3a\u5931\u503c\u548c\u5f02\u5e38\u503c\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002\u4f7f\u7528Pandas\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7data.dropna()<\/code>\u65b9\u6cd5\u5220\u9664\u7f3a\u5931\u503c\uff0c\u6216\u901a\u8fc7data.fillna(value)<\/code>\u6765\u7528\u7279\u5b9a\u503c\u66ff\u6362\u7f3a\u5931\u503c\u3002\u6b64\u5916\uff0c\u53ef\u4ee5\u4f7f\u7528\u6761\u4ef6\u8fc7\u6ee4\u6765\u5904\u7406\u5f02\u5e38\u503c\uff0c\u4f8b\u5982\uff1a  <\/p>\n
                        cleaned_data = data[data['column_name'] < threshold]  # \u8fc7\u6ee4\u5f02\u5e38\u503c\n<\/code><\/pre>\n
                        \u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u63d0\u53d6\u7684\u6570\u636e\u66f4\u51c6\u786e\u548c\u53ef\u9760\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5982\u4f55\u4ece\u8868\u4e2d\u8d4b\u503c\u7ed9\u53d8\u91cf \u5728Python\u4e2d\uff0c\u4ece\u8868\uff08\u901a\u5e38\u4e3a\u6570\u636e\u5e93\u8868\uff09\u4e2d\u8d4b\u503c\u7ed9\u53d8\u91cf\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528S […]","protected":false},"author":3,"featured_media":1081864,"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\/1081851"}],"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=1081851"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1081851\/revisions"}],"predecessor-version":[{"id":1081865,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1081851\/revisions\/1081865"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1081864"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1081851"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1081851"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1081851"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}