Pandas' to_ SQL function usage

Catalog

1. Introduce related library functions

2. Use pandas Of to_sql take data Data written to mysql

3. see mysql Whether the write is successful

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1. Introduce related library functions

import pandas as pd
import pymysql

2. Use pandas Of to_sql take data Data written to mysql

'''
to_sql() Built in parameters :
    name      :  Write to mysql Table name of 
    con       ： Connection address 
    if_exists :  append mode  （ Optional parameters {‘fail’, ‘replace’, ‘append’}, Default fail）
    index     :  Whether or not to data Of index Write to with data mysql （ Optional parameters {‘True’,‘False’}, The default is True）
'''


'''
account :  Host name 
password:  password 
port    :  Port number 
dbName  :  Library name 
'''

#  obtain engine
url = f'{account}:{password}@{host}:{port}/{dbName}?charset=utf8'
con = 'mysql+pymysql://' + url

# data by pandas Of dataframe Data objects 
data.to_sql(name='sql_demo', con=con, if_exists='append', index=False)

 

3. see mysql Whether the write is successful

         According to the profile information , Use sql Tool connection mysql, Click the corresponding library to find the table we write .