python 读取excel和CSV 并保存到mysql数据库

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于 2021-03-31 15:12:48 发布

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分类专栏： Python 文章标签： python

本文链接：https://blog.youkuaiyun.com/yucaixiang/article/details/115351128

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本文介绍了如何使用Python读取目录下CSV和Excel文件，通过pandas库进行数据处理，然后将数据分别插入到MySQL数据库的'jdaz0002'表中，实现从文件到数据库的高效迁移。

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from files import ScanFile
import pandas as pd
from sqlalchemy import create_engine

def do_csv():
    engine = create_engine('mysql+pymysql://root:root@localhost:3306/test')
    dir = r"D:\ext.yucaixiang\Desktop\202005-202012购酒险数据"
    scan = ScanFile(dir)
    subdirs = scan.scan_subdir()
    files = scan.scan_files()
    print(files)
    for file in files:
        print(file)
        df = pd.read_csv(file, encoding='gbk', skiprows=0)
        df.to_sql('jdaz0002', engine, index=False, if_exists='replace')
        print('Read from and write to Mysql table successfully!')
def do_excwl():
    engine = create_engine('mysql+pymysql://root:root@localhost:3306/test')
    dir = r"D:\ext.yucaixiang\Desktop\202005-202012购酒险数据"
    scan = ScanFile(dir)
    subdirs = scan.scan_subdir()
    files = scan.scan_files()
    print(files)
    for file in files:
        print(file)
        df = pd.read_excel(file)
        df.to_sql('jdaz0002', engine, index=False, if_exists='append')
        print('Read from and write to Mysql table successfully!')