利用sqlalchemy讀取數據庫 和pandas的Dataframe對象 互相生成

#導入pandas
import pandas as pd
import numpy as np

#導入SqlAlchemy
from sqlalchemy import create_engine

if __name__ == "__main__":
    #建立數據庫引擎
    engine = create_engine('mysql+pymysql://root:mysql@localhost:3306/mymac')
    #寫一條sql
    sql = 'select id,name,age,gender from student'
    #建立dataframe
    df = pd.read_sql_query(sql,engine)
    print(df)
    #將dataframe寫入數據表,表名，數據引擎，索引是否入庫
    # df.to_sql('student_copy',engine,index=False)