Categorical:- [x] #19513 Comparisons between Categorical, CategoricalIndex, and Series[category] are inconsistent- [x] #...

per = pd.Period('2016Q1')ser = pd.Series([per])>>> ser - pd.NaT0 NaTdtype: datetime64[ns]>>> ser + p...

Location of the documentationhttps://pandas.pydata.org/pandas-docs/stable/user_guide/enhancingperf.html#expression-evalu...

Hi allI couldn't find a good answer to this on StackOverflow, but I was trying to understand what the conceptual differe...

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

Grouper._set_grouper (called by Grouper._get_grouper) sets some of its own attributes. It would be much easier to reaso...

[x] I have searched the [pandas] tag on StackOverflow for similar questions.[x] I have asked my usage related question o...

Code SampleIn [2]: df1 = pd.DataFrame({'A': [1, 1, 2], 'B': [1, 2, 2]})In [3]: df1.dtypesOut[3]:A int64B int64dtyp...

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

This code works fineimport pandas as pdd = pd.DataFrame([[1, 2], [3, 4]], columns=['a', 'b'], dtype="Float64")...

Code Sample, a copy-pastable example if possibleimport pandas as pdpd.Timestamp('2018-11-04 01:55:17.869342-0500', tz='A...

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...

import pandas as pdimport numpy as npdt = np.datetime64("2016-01-01", "ms")ts = pd.Timestamp(dt)>...

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...

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

Similar issue as https://github.com/pandas-dev/pandas/issues/6581, but starting a fresh one for keeping a log of the dep...

DatetimeArray/TimedeltaArray __setitem__ resets the array's freq to None, but this doesn't propagate to views:dti = pd.d...

Currently Index._validate_names() does not only validation, but some other unrelated to validation stuff:https://github....