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Just as a follow up to #29124 discovered during #29753 - looks like the column name is dropped for any/all and transformation functions in groupby
>>> df = pd.DataFrame([[1]], columns=pd.Index(["a"], name="idx")) >>> df.groupby([1]).sum() idx a 1 1 >>> df.groupby([1]).any() a 1 True >>> df.groupby([1]).shift() a 0 NaN
The text was updated successfully, but these errors were encountered:
Reading through the code example, I think this should be "GroupBy Doesn't Always Maintain Index Name".
Sorry, something went wrong.
Thanks! Updated to clarify
BUG: GroupBy Doesn't Always Maintain Column Index Name pandas-dev#29764
94b3bdb
BUG: Add whats new entry pandas-dev#29764
4b20125
Fix rest of pandas-dev#29764
75c820c
Successfully merging a pull request may close this issue.
Just as a follow up to #29124 discovered during #29753 - looks like the column name is dropped for any/all and transformation functions in groupby
The text was updated successfully, but these errors were encountered: