Pandas 按列和计数值分组

Question

I have a dataframe:

date        code     result  
2020-01-01  2069.0   Negative
2020-01-29  2069.0   Negative
2020-02-06  2069.0   Positive
2020-02-06  2070.0   Negative
2020-02-07  2070.0   Positive

Grouping by code, I want to find how many results = 'Positive', and how many results = 'Positive' AND 'Negative'. I'm quite new to pandas so I'm quite confused with all the functions that are available.

Thanks!

Answer 1

You can try groupby.agg :

d = dict(zip(['sum','count'],['Positive','Both']))
(df['result'].eq('Positive').view('i1').groupby(df['code']).
agg(['sum','count']).rename(columns=d))

---

        Positive  Both
code                  
2069.0         1     3
2070.0         1     2