Documentation: Example missing in NA values by GroupBy

[harshnisar]

http://pandas.pydata.org/pandas-docs/stable/missing_data.html#na-values-in-groupby

NA groups in GroupBy are automatically excluded. This behavior is consistent with R, for example.

I can take this up.

[jorisvandenbossche]

That would be welcome!

[harshnisar]

@jorisvandenbossche
This looks fine?

In [30]: df
Out[30]: 
        one       two     three
a       NaN -0.282863 -1.509059
c       NaN  1.212112 -0.173215
e  0.119209 -1.044236 -0.861849
f -2.104569 -0.494929  1.071804
h       NaN -0.706771 -1.039575

In [31]: df.groupby('one').groups
Out[31]: {-2.1045692188948086: ['f'], 0.11920871129693428: ['e']}

[jorisvandenbossche]

Yes, that looks good.
But maybe show the a result (like df.groupby('one').mean()) instead of the .groups?

[harshnisar]

@jorisvandenbossche Done!

Made a pull request:
https://github.com/pydata/pandas/pull/10450/files