Fix compressed multiindex for output of groupby.rolling #36152
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rhshadrach
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jreback
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thanks @phofl very nice, keep em coming! |
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@meeseeksdev backport 1.1.x |
meeseeksmachine
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… groupby.rolling
simonjayhawkins
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…olling (#36203) Co-authored-by: patrick <[email protected]>
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HyukjinKwon
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This should resolve #1685 - [x] DataFrame.truncate - [x] AtIndexer with MultiIndex - [x] GroupBy.nunique - [x] Index.monotonic - [x] GroupByRolling.max (Resolved in pandas-dev/pandas#36152) - [x] GroupByRolling.mean (ditto) - [x] GroupByRolling.min (ditto) - [x] GroupByRolling.std (ditto) - [x] GroupByRolling.sum (ditto) - [x] GroupByRolling.var (ditto) - [x] Series.truncate
kesmit13
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rising-star92
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This should resolve #1685 - [x] DataFrame.truncate - [x] AtIndexer with MultiIndex - [x] GroupBy.nunique - [x] Index.monotonic - [x] GroupByRolling.max (Resolved in pandas-dev/pandas#36152) - [x] GroupByRolling.mean (ditto) - [x] GroupByRolling.min (ditto) - [x] GroupByRolling.std (ditto) - [x] GroupByRolling.sum (ditto) - [x] GroupByRolling.var (ditto) - [x] Series.truncate
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black pandasgit diff upstream/master -u -- "*.py" | flake8 --diffThe number of leves for MultiIndex in input was compressed to one, because the tuples representing the Index rows were not unpacked. Also name was used instead of names -> resulted in missing name for every MultiIndex.