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 pdprint(f"{pd.show_versions()}\n")data = [{"a": 1, "b": 2, "c":...

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The Pandas datetime arithmetic module is indeed very useful and it can be used for archeological research studies as wel...

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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...

This is a place to discuss whether supporting datetime logic with sub-nanosecond precision is desirable and feasible.Mot...

Moving this from https://github.com/pandas-dev/pandas/issues/50411#issuecomment-1368935006 to its own issue.PDEP-4 (http...

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

In Pandas 2.1, Series.map with the parameter na_ignore set to na_ignore="ignore" will work for all array types. (see #51...

related #6360Based on this SO questionConsider the following two Series:x = pd.DataFrame({'year':[1,1,1,1,2,2,2,2], ...

How can I force a dtype on a column and ensure that any not-parseable data entry are filled as NaN? This is important in...

Code Sample, a copy-pastable example if possible>>> s = pd.Series(['9/22/1677', '4/11/2262'], dtype="U&quo...

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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After running python setup.py build_ext --inplace -j 0:MacOS 10.14python 3.6.6I tried to install pandas from source in 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 the issue still exists on the latest versions of the docs on main hereLocat...

Installation check[X] I have read the installation guide.PlatformLinux-6.2.6-060206-generic-x86_64-with-glibc2.35Install...