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It looks like only nf.drop(labels=..., axis=1) is supported for nested columns, not nf.drop(columns=...), which is confusing:
from nested_pandas.datasets import generate_data
nf = generate_data(3, 2)
nf.drop(labels="a", axis=1)  # works
nf.drop(columns="a")  # works
nf.drop(labels="nested.t", axis=1)  # works
nf.drop(columns="nested.t")  # failsBefore submitting
Please check the following:
- I have described the situation in which the bug arose, including what code was executed, information about my environment, and any applicable data others will need to reproduce the problem.
- I have included available evidence of the unexpected behavior (including error messages, screenshots, and/or plots) as well as a description of what I expected instead.
- If I have a solution in mind, I have provided an explanation and/or pseudocode and/or task list.
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bugSomething isn't workingSomething isn't working