python如何删除excel中不满足要求的工作簿(excel怎么删除工作表里不需要的)
731
2022-05-30
Mysql文档:https://dev.mysql.com/doc/connector-python/en/
PYPI: https://pypi.org/project/mysql-connector-python/
mysql-connector-python 是MySQL官方的Python语言MySQL连接模块
安装
$ pip install mysql-connector-python
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代码示例
连接管理
# -*- coding: utf-8 -*- import mysql.connector db_config = { "database": "mydata", "user": "root", "password": "123456", "host": "127.0.0.1", "port": 3306, } # 连接数据库获取游标,可以设置返回数据的格式,元组,命令元组,字典等... connect = mysql.connector.Connect(**db_config) cursor = connect.cursor(dictionary=True) # 关闭游标和连接 cursor.close() connect.close()
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写操作
数据 写入 和 更新 都可以使用 execute 和 executemany
删除就使用execute
写操作都需要 commit 才会生效
# 插入元组数据 insert_tuple_sql = "insert into student(name, age) values(%s, %s)" data = ("Tom", 23) cursor.execute(insert_tuple_sql, data) connect.commit() print(cursor.lastrowid) # 一般插入一条时使用,获取插入id # 插入多条元组数据 insert_tuple_sql = "insert into student(name, age) values(%s, %s)" data = [ ("Tom", 23), ("Jack", 25), ] cursor.executemany(insert_tuple_sql, data) connect.commit() # 插入字典数据 insert_dict_sql = "insert into student(name, age) values(%(name)s, %(age)s)" data = { "name": "Tom", "age": 25 } cursor.execute(insert_dict_sql, data) connect.commit() # 插入多条字典数据 insert_dict_sql = "insert into student(name, age) values(%(name)s, %(age)s)" data = [ { "name": "Tom", "age": 26 }, { "name": "Jack", "age": 27 } ] cursor.executemany(insert_dict_sql, data) connect.commit()
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读操作
cursor.execute("select * from student where name=%s limit 3", ("Tom",)) rows = cursor.fetchall() print(rows) # 因为开始设置的返回数据格式是字典 dictionary ,所以直接返回字典数据 # [ # {'id': 1, 'name': 'Tom', 'age': 23}, # {'id': 2, 'name': 'Tom', 'age': 23}, # {'id': 3, 'name': 'Tom', 'age': 25} #] # 获取一些元数据信息 print(cursor.column_names) # ('id', 'name', 'age') print(cursor.description) # [ # ('id', 3, None, None, None, None, 0, 16899), # ('name', 253, None, None, None, None, 1, 0), # ('age', 3, None, None, None, None, 1, 0) #] print(cursor.rowcount) # 3 print(cursor.statement) # select * from student where name='Tom' limit 3 print(cursor.with_rows) # True
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MySQL Python 数据库
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