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BUG: groupby.agg fails when input has duplicate columns and dict input #55041

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rhshadrach opened this issue Sep 7, 2023 · 1 comment · May be fixed by #58452
Open

BUG: groupby.agg fails when input has duplicate columns and dict input #55041

rhshadrach opened this issue Sep 7, 2023 · 1 comment · May be fixed by #58452
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Apply Apply, Aggregate, Transform Bug Groupby

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@rhshadrach
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df = DataFrame(
    [[1, 2, 3, 4], [1, 3, 4, 5], [2, 4, 5, 6]],
    columns=["a", "b", "c", "c"],
)
gb = df.groupby("a")
gb.agg({"c": "sum"})

raises AttributeError: 'DataFrame' object has no attribute 'name'. Did you mean: 'rename'?

I would expect it to aggregate both of the columns named "c".
@rhshadrach rhshadrach added Bug Groupby Apply Apply, Aggregate, Transform labels Sep 7, 2023
@rhshadrach rhshadrach mentioned this issue Sep 7, 2023
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@undermyumbrella1 undermyumbrella1 linked a pull request Apr 27, 2024 that will close this issue
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@undermyumbrella1
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Hi I have created a pr to address this ticket, may I request for some help reviewing it? thank you

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Update compute_dict_like to get all columns undermyumbrella1/pandas
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@rhshadrach @undermyumbrella1