BUG: groupby.<reduction>(numeric_only=) does not validate non-bool arguments

[mroeschke]

In [1]: import pandas as pd

In [2]: df = pd.DataFrame({"A": range(5), "B": range(5)})

In [3]: df.groupby(["A"]).mean(["B"])
     B
A     
0  0.0
1  1.0
2  2.0
3  3.0
4  4.0

["B"] is being passed to numeric_only which appears checked only to be truthy/falsy.

I would expect this to raise a ValueError

[Zrahay]

@mroeschke Is it fine if I work on this?

[Zrahay]

I am able to makeout the core logic for this is present in generic.py file but inside of it, how are the functional callings happening are a bit blackbox for, so, can you help me out there?

Here's what I've understood ->

When we do groupby('column'), we are ending up with DataFrameGroupBy.aggregate() inside generic.py and we are pretty much calling def aggregate function.

But after this, I am not able to comprehend what is happening when we are doing .mean() on this DataFrameGroupBy object.

I hope my question made sense, if not let me know, I'll try explaining again.

Thanks!