columns = cursor.fetchall() 提取列名 column_names = [column[1] for column in columns] print(column_names) 关闭连接 conn.close() 在这个示例中,我们使用SQLite数据库的PRAGMA table_info命令获取表的列名。其他数据库系统可能有不同的命令,例如MySQL的SHOW COLUMNS命令或PostgreSQL的SELECT column_name FROM ...
Thefetchallfetches all the (remaining) rows of a query result, returning them as a list of tuples. An empty list is returned if there is no more record to fetch. fetch_all.py #!/usr/bin/python import psycopg2 con = psycopg2.connect(database='testdb', user='postgres', password='s$...
(host=host,dbname=dbname,\user=user,password=password,port=port) conn=psycopg2.connect(connstring)cursor=conn.cursor() cursor.execute(query) column_names=[column[0]forcolumnincursor.description] print("Column Na...
# Loop over the key table, collecting things as constraints. The column # array must return column names in the same order in which they were # created. # The subquery containing generate_series can be replaced with # "WITH ORDINALITY" when support for PostgreSQL 9.3 is dropped. cursor.exec...
fetchall() column_names = [description[0] for description in cursor.description] print(column_names) 输出: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ['post', 'comment', 'name'] 下面的代码,演示了含WHERE的SQL语句查询结果: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 select_...
These modules let you connect to, query, and manage SQL databases with Python code. Each module specializes in specific database systems while maintaining consistent interaction patterns. Module NamePrimary DatabaseKey Features MySQLdb MySQL Native C implementation, high performance psycopg2 PostgreSQL Full...
row1=cursor.fetchall()print(row1) conn.commit() cursor.close() conn.close() 2.SQLAlchmy框架 SQLAlchemy的整体架构如下,建立在第三方的DB API上,将类和对象操作转换为数据库sql,然后利用DB API执sql语句得到结果。其适用于多种数据库。另外其内部实现了数据库连接池,方便进行多线程操作。
sys模块 2022年7月12日 21:13 sys.argv: 参数字符串列表(动态对象),第一个参数为当前程序主文件的绝对路径或空字符串,如果在命令提示符界面给``Python``文件传了参数(不同的参数以空格分隔,无论传入的时候写的是什么类型,最终都会转成字符串),可以在这里面获取(
conn = psycopg2.connect(database=DB_NAME,user=DB_USER,password=DB_PASS, host=DB_HOST,port=DB_PORT)print("Database connected successfully")cur = conn.cursor()cur.execute("SELECT * FROM your_table") rows = cur.fetchall()cur.close()conn.close()Example 8: Write a program to implement ...
(map)result=[]forrowincursor.fetchall():record={column_names[i]:row[i]foriinrange(len(column_names))}result.append(record)cursor.close()returnresult# 调用函数并打印结果data=fetch_data_as_map(connection)print(data)# 输出如 [{'id': 1, 'name': 'Alice', 'position': 'Developer'}, ....