import pandas as pddf = pd.DataFrame(dict(A=[1,1,2,2,3], B=[4,4,5,5,6]))def f(x): return x['A'] < 'taco'df.groupby...

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

related issues:- [x] #13121 - [x] #5839- [x] #9867- [x] #13255 - [x] #20066 - [ ] #14927 (about detecting mutating funct...

Aiming at the release of pandas 1.5.2 at some point in November, if nothing urgent needs to be fixed and released.Commen...

vals = ["2016-01-02 03:04:05"]pd.to_datetime(vals) # <- workspd.to_datetime(vals, unit="s") # &...

asv 5.0 support a --durations parameter equivalent to the pytest one, to print the timing of the slowest benchmarks. It'...

xref #47694, #47706I think the organization of the core development team would be more efficient if we have small workgr...

Ref: https://github.com/pandas-dev/pandas/pull/48980#pullrequestreview-1134863343Similar to #48400 with groupby, we shou...

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@jorisvandenbossche I expected this to return pd.NA. Is this intentional?Comment From: jorisvandenbosscheThe same is tr...

@jbrockmendel pointed out in #49034 that we don't consistently validate the return of Py_* functions in the C API. The n...

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ser = pd.Series(pd.Categorical([1], categories=[1, 2, 3]))print(ser)# 0 1# dtype: category# Categories (3, int64): [1...

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

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

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From #43409, https://github.com/pandas-dev/pandas/pull/43409#discussion_r703891397.Look to use is_*_dtype instead of isi...

I have some data that is roughly like "%H:%M:%S %P" (where %P is AM/PM). I'd like to store it as a Timedelta representin...

This came up while trying to de-duplicate some DataFrame vs Series arithmetic logic in core.ops.Comment From: gfyoungTha...