如何从pandas数据帧在MySQL DB中创建新表

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)

try:
    # 创建新表
    cursor.execute("CREATE TABLE new_table (column1 datatype, column2 datatype, ...)")
    print("New table created!")

    # 将数据插入新表
    for row in df.itertuples():
        cursor.execute("INSERT INTO new_table (column1, column2, ...) VALUES (%s, %s, ...)", row[1:])
    connection.commit()
    print("Data inserted into new table!")

except Error as e:
    print("Error while creating or inserting into MySQL table", e)

if connection.is_connected():
    cursor.close()
    connection.close()
    print("MySQL connection is closed")