Pandas Value_Counts Selection

Question

Below is the output of the -

df['x'].value_counts()

-1    266551
 1    172667
 0    155994

I would like to calculate the maximum of the counts except of the value -1.

In this case, answer would be 172667.

How can i remove the value of -1 from it and select the max of other values?

Answer 1

Use drop + max :

df['x'].value_counts().drop(-1).max()

Sample:

s = pd.Series([266551,172667,155994], index=[-1,1,0])
print (s)
-1    266551
 1    172667
 0    155994
dtype: int64

print (s.drop(-1).max())
172667