How to get the counts of False in pandas

Question

I have a dataframe like below

no  out
20  True
3   False
3   False

How to get the counts of True and False

df.groupby(['out']).agg({'out':sum})



         out
out 
False   0.0
True    26.0

I am getting False count as 0

`df['out'].value_counts()` should do the trick. – Umar.H Feb 01 '20 at 15:05 — Umar.H, Feb 01 '20 at 15:05
`df.groupby('out',sort=False)['no'].sum()` ? – anky Feb 01 '20 at 15:06 — anky, Feb 01 '20 at 15:06

theletz · Accepted Answer · 2020-02-01T15:06:53.393

0

Try:

df.groupby(['out'])['out'].count()

edited Feb 01 '20 at 15:06

answered Feb 01 '20 at 15:01

theletz

1 Answers1