Sometimes our requirement in the company is to operate the data in the mysql database. If we can use pandas to directly operate mysql, it will be more convenient.
So here to share with you the read and write operations of pandas on the mysql database:
So here to share with you the read and write operations of pandas on the mysql database:
pandas reads the mysql database:
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01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 | # import pandas as pdfrom sqlalchemy import create_engine# pymysql # MySQL root, :147369, 3306, mydbengine = create_engine('mysql+pymysql://root:mysql@localhost:3306/pandas')# employee sql = ''' select * from mydf; '''# read_sql_query : sql df = pd.read_sql_query(sql, engine)# employee print(df) |
pandas writes data to mysql:
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1 2 3 4 5 6 7 | # pandas DataFrame, id,num df = pd.DataFrame({'id':[1,2,3,4],'num':[12,34,56,89]})# DataFrame MySQL index df.to_sql('mydf', engine, index= False)print('Read from and write to Mysql table successfully!') |
pandas reads csv data to mysql:
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1 2 3 4 | # CSV df = pd.read_csv("lianjia.csv", sep=',')# # DataFrame MySQL index df.to_sql('mydata', engine, index= False) |
For more technical information, please pay attention to: itheimaGZ