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import pandas as pd
import pymysql
# 连接到 MySQL 数据库
cnx = pymysql.connect(
host='localhost',
user='root',
password='123123',
database='your_database'
)
# 创建数据库游标
cursor = cnx.cursor()
# 创建一个示例的 DataFrame
df = pd.read_csv('igs_stations.csv')
# 定义插入数据的 SQL 语句
insert_stmt = "INSERT INTO student (Site Name, Country/Region, Receiver,Antenna,Radome,Satellite System,Latitude," \
"Longitude,Height (m),X (m),Y (m),Z (m),Calibration,Networks,Data Center,IERS DOMES,Clock,Agencies," \
"Last Data) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)"
try:
# 遍历 DataFrame 中的行并插入到数据库
for _, row in df.iterrows():
# 每一行的数据按照需要提取到变量中
name = row['name']
age = row['age']
grade = row['grade']
# 执行插入操作
cursor.execute(insert_stmt, (name, age, grade))
# 提交事务
cnx.commit()
print("数据插入成功!")
except Exception as e:
# 发生错误时回滚事务
cnx.rollback()
print("数据插入失败:", str(e))
# 关闭数据库连接
cursor.close()
cnx.close()