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DOC: Added additional example for groupby by indexer. #13276

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Merged
merged 7 commits into from
Jun 28, 2016
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DOC: Added additional example for groupby by indexer. #13276

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8df3bdf
DOC: Added additional example for groupby by indexer.
pfrcks May 25, 2016
55c8828
DOC: Increased documentation
pfrcks May 25, 2016
03d8799
DOC: Added more details
pfrcks May 25, 2016
932017c
DOC: Cleaned up documentation
pfrcks May 26, 2016
35f1ae5
DOC: Cleaning up
pfrcks May 27, 2016
93aa63f
DOC: Cleaned up documentation
pfrcks Jun 27, 2016
39b7fac
DOC: Improved readability
pfrcks Jun 28, 2016
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7 changes: 7 additions & 0 deletions doc/source/groupby.rst
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Expand Up @@ -1014,6 +1014,13 @@ Regroup columns of a DataFrame according to their sum, and sum the aggregated on
df
df.groupby(df.sum(), axis=1).sum()

Groupby by Indexer to 'resample' data.
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This needs a fair bit more explanation of the why and how this does what it does. Maybe show the intent of a resample, then show how one can go about the same idea using non-datetimelike indices.

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need a markdown line here like the other examples

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Can you underline this with ~~~~ to make this a header (see a few lines above this for an example)

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I think you forgot this one


.. ipython:: python

df = pd.DataFrame(np.random.randn(10,2))
df
df.groupby(df.index / 5).std()

Returning a Series to propagate names
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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