Pandas version checks[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

Pandas version checks[X] I have checked that the issue still exists on the latest versions of the docs on main hereLocat...

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Research[X] I have searched the [pandas] tag on StackOverflow for similar questions.[X] I have asked my usage related qu...

Feature Type[ ] Adding new functionality to pandas[X] Changing existing functionality in pandas[ ] Removing existing fun...

All of these examples for using agg work fine:import pandas as pddf = pd.DataFrame({"A":['A','A','B','B','B'],...

Code Sampledf = pd.DataFrame({'id': ['1001', '1001', '1002', '1002', '1003', '1004', '1005', '1006'], ...

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Code Sample, a copy-pastable example if possibleimport numpy as npimport pandas as pds1 = pd.Series({"a": np.i...

[x] I have checked that this issue has not already been reported.[x] I have confirmed this bug exists on the latest vers...

Pandas version checks[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

Pandas version checks[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

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The following shows up in some recent jobs: https://github.com/pandas-dev/pandas/actions/runs/3641110250/jobs/6146658226...

Pandas version checks[X] I have checked that the issue still exists on the latest versions of the docs on main hereLocat...

I am a long time user of pandas, thank you for all your hard work. Is your feature request related to a problem?It would...

Pandas version checks[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

[x] I have checked that this issue has not already been reported.[x] I have confirmed this bug exists on the latest vers...

The good - definitely keepBefore talking about what I'd like to remove, here's what I'd like to keep.I love the plotting...

df.groupby(..., observed=True) behaves inconsistently for unordered Categoricals:>>> df = pd.DataFrame({'A': pd...