如何基于Pandas DataFrame中另一列的多个唯一值来合并一列的总和？

Question

I'm looking to combine the sum of Sales_volume($) column, based on unique values in the Store_name column. Not sure if this is possible, but here is my DataFrame:

    Store_name  Sales_volume($) Date    
0   store 167   1.00               2019-06-03
1   store 167   4.00               2019-06-03
2   store 177   3.37               2019-06-03
3   store 177   2.14               2019-06-03
4   store 216   7.96               2019-06-03
5   store 216   1.99               2019-06-03

My desired output:

    Store_name  Sales_volume($) Date    
0   store 167   5.00               2019-06-03
1   store 177   5.51               2019-06-03
2   store 216   9.95               2019-06-03

Thanks!

Answer 1

据我了解，您想按Store_name对数据进行Store_name并获取商店的Sales总和： df.groupby('Store_name').sum()或者是否要为每个日期的商店都有Sales： df.groupby(['Store_name','Date']).sum()