使用Python将大型CSV文件导入MySQL

import pandas as pd
import mysql.connector
from mysql.connector import Error

try:
    connection = mysql.connector.connect(host='localhost',
                                         database='your_database',
                                         user='your_username',
                                         password='your_password')
    if connection.is_connected():
        db_Info = connection.get_server_info()
        print("Connected to MySQL Server version ", db_Info)
        cursor = connection.cursor()
        cursor.execute("select database();")
        record = cursor.fetchone()
        print("You're connected to database: ", record)

except Error as e:
    print("Error while connecting to MySQL", e)
finally:
    if (connection.is_connected()):
        cursor.close()
        connection.close()
        print("MySQL connection is closed")

data = pd.read_csv('your_file.csv')

try:
    connection = mysql.connector.connect(host='localhost',
                                         database='your_database',
                                         user='your_username',
                                         password='your_password')
    cursor = connection.cursor()

    for row in data.itertuples():
        cursor.execute("INSERT INTO your_table (column1, column2, column3) VALUES (%s, %s, %s)", (row.column1, row.column2, row.column3))
        connection.commit()

    print("Data imported successfully")

except Error as e:
    print("Error while importing data to MySQL", e)
finally:
    if (connection.is_connected()):
        cursor.close()
        connection.close()
        print("MySQL connection is closed")