功能

张表有两列字段，site和月份，现在需要根据这两个字段把csv拆成不同的csv，放到对应的文件夹中，比如site=4001/date=2017-01-01/下面只放对应数据的csv

文本格式 test_dome.csv

date,site
2017-01-01,4001
2017-01-01,4001
2017-01-01,4001
2017-01-01,4001
2017-01-01,4001
2017-01-01,4001
2017-01-01,4001
2017-01-01,4001
2017-01-01,4001
2017-01-01,5001
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代码实现

#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
@File  : ReadExcel.py
@Author: piepis
@Date  : 2022/8/2
@Desc  :
'''


if __name__ == '__main__':
    input_filePath ="test_model.csv"  #读取表路径
    import pandas as pd
    import os
    data= pd.read_csv(input_filePath)
    groups = data.groupby(['data', 'site'])
    for group_key, group_value in groups:
        group = groups.get_group(group_key)
        print(group_key[0])
        print(group_key[1])
        date = str(group_key[0])
        site = str(group_key[1])
        file_path =os.path.join(date, site)
        if os.path.exists(date):
            if os.path.exists(os.path.join(date,site)):

                file_name=os.path.join(file_path, "{0}_{1}.csv".format(date, site))
                if os.path.exists(file_name):
                    os.remove(file_name)
                group_value.to_csv(file_name, encoding="utf-8-sig", header=False, index=False)
                print("{0}_{1}.csv have done".format(date, site))

            else:
                os.makedirs(os.path.join(date,site))
                file_name=os.path.join(file_path, "{0}_{1}.csv".format(date, site))
                group_value.to_csv(file_name, encoding="utf-8-sig", header=False, index=False)
                print("{0}_{1}.csv have done".format(date, site))
        else:
            os.makedirs(date)
            os.makedirs(os.path.join(date,site))
            file_name = os.path.join(file_path, "{0}_{1}.csv".format(date, site))
            group_value.to_csv(file_name, encoding="utf-8-sig", header=False, index=False)
            print("{0}_{1}.csv have done".format(date, site))


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