Difference between count and nunique formatting

[MathieuDutSik]

The count with groupby gives the number of entries while nunique gives the number of unique entries. The problem is that we get an additional column

>>> df = pd.DataFrame({"A": [0,0,1,1,0], "B": [1,2,3,4,5]})
>>> df.groupby("A").count()
   B
A   
0  3
1  2
>>> df.groupby("A").nunique()
   A  B
A      
0  1  3
1  1  2

Why is the A column being added in nunique output?

[asishm]

Seems to be fixed on master.

In [1]: import pandas as pd

In [2]: df = pd.DataFrame({"A": [0,0,1,1,0], "B": [1,2,3,4,5]})

In [4]: df.groupby('A').count()
Out[4]: 
   B
A   
0  3
1  2

In [5]: df.groupby('A').nunique()
Out[5]: 
   B
A   
0  3
1  2

In [6]: pd.__version__
Out[6]: '1.2.0.dev0+652.gec8c1c4ec'