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Bug: Grouping by index and column fails on DataFrame with single index (GH14327) #14428
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Current coverage is 85.26% (diff: 96.29%)@@ master #14428 diff @@
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@jreback it's green |
@jmmease can you make the doc-string updates. |
@@ -45,3 +45,4 @@ Bug Fixes | |||
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- Bug in ``pd.concat`` where names of the ``keys`` were not propagated to the resulting ``MultiIndex`` (:issue:`14252`) | |||
- Bug in ``MultiIndex.set_levels`` where illegal level values were still set after raising an error (:issue:`13754`) | |||
- Bug in ``df.groupby`` causing an ``AttributeError`` when grouping a single index frame by a column and the index (:issue`14327`) |
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say index level.
Index of values to group on | ||
labels : None | ||
Array of locations in level_index | ||
level_index : None |
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this should match the doc-string of the MultiIndex. ( best to use a shared_doc to avoid repeating doc-strings)
Existing logic under "if level is not None:" assumed that index was a MultiIndex. Now we check and also handle the case where an Index is passed in with a None grouper. This resolves GH 14327
…red_doc (GH 14327)
@jreback Made documentation updates and then rebased to resolve conflict in whatsnew 0.19.1. |
lgtm ping on green |
@jreback green |
@jmmease Thanks! |
…x (GH14327) (pandas-dev#14428) Existing logic under "if level is not None:" assumed that index was a MultiIndex. Now we check and also handle the case where an Index is passed in with a None grouper. This resolves GH 14327
git diff upstream/master | flake8 --diff
This PR is a continuation of #14333. See discussion there for explanation of why this new PR was needed.