使用pandas操作mysql数据

代码如下:

#导入
import pymysql
import pandas as pd
from sqlalchemy import create_engine

#连接mysql
engine = create_engine(‘mysql+pymysql://root:@localhost:3306/lg‘)

#查询
sql = ‘‘‘
    select LGL_LSKU,LGL_NAME_LOCAL,LGL_RAW_ADDRESS from kfc limit 5;
‘‘‘

df = pd.read_sql_query(sql,engine)

print(df)

使用loc函数

sql_1 = ‘‘‘
    select LGL_LSKU,LGL_NAME_LOCAL,LGL_RAW_ADDRESS,LGL_EPISODE,
    LGL_EPISODE_DATES,LGL_POI_NOTES,LGL_LSKU_HERIT from kfc;
‘‘‘

df_1 = pd.read_sql_query(sql_1,engine)

df_1.loc[3:6] #使用loc函数查看[3:6]的数据

two_five_ten = [2,5,10]
df_1.loc[two_five_ten]

原文地址：https://www.cnblogs.com/hankleo/p/9575240.html