IIUC,您只需要.groupby
然后.sum()
:
>>> df
date Name transaction-type tran
0 2013-03-05 00:00:00 john Doe credit 10
1 2013-05-05 00:00:00 john Doe debit 20
2 2012-06-01 00:00:00 jane Doe credit 50
3 2012-06-01 00:00:00 jane Doe credit 22
4 2012-06-02 00:00:00 jane Doe credit 75
>>> df.groupby(["date", "Name", "transaction-type"]).sum()
tran
date Name transaction-type
2012-06-01 jane Doe credit 72
2012-06-02 jane Doe credit 75
2013-03-05 john Doe credit 10
2013-05-05 john Doe debit 20
请参阅文档中关于groupby 聚合的部分。
如果你想要总签名值,你也可以得到:
>>> df["tran"][df["transaction-type"] == "debit"] *= -1
>>> df.groupby(["date", "Name"]).sum()
tran
date Name
2012-06-01 jane Doe 72
2012-06-02 jane Doe 75
2013-03-05 john Doe 10
2013-05-05 john Doe -20