ENH: enable skipna on groupby reduction ops #15675
Description
Edit[rhshadach]: The following methods do not have a skipna argument in groupby, but do have such an argument on the Series/DataFrame variant.
- max
- mean
- median
- min
- prod
- sem
- std
- sum
- var
In [19]: import pandas as pd ...: import numpy as np ...: d = {'l': ['left', 'right', 'left', 'right', 'left', 'right'], ...: 'r': ['right', 'left', 'right', 'left', 'right', 'left'], ...: 'v': [-1, 1, -1, 1, -1, np.nan]} ...: df = pd.DataFrame(d) ...: In [20]: df.groupby('l').v.sum() Out[20]: l left -3.0 right 2.0 Name: v, dtype: float64 In [21]: df.groupby('l').v.apply(lambda x: x.sum(skipna=False)) Out[21]: l left -3.0 right NaN Name: v, dtype: float64 ideally write [21] as
df.groupby('l').v.sum(skipna=False)