Currently, we have autouse fixtures in tests/series/test_arithmetic.py, tests/frame/test_arithmetic.py & tests/arith...

From https://github.com/pandas-dev/pandas/issues/50411#issuecomment-1363972775The documentation of to_datetime says:exac...

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Code Sampleimport pandas as pdimport timesquares = set(a**2 for a in range(100000000))series = pd.Series(range(100))star...

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We have a check for whether format == '%Y%m%d', but this actually seems to be slower:In [86]: s = pd.Series(['20120101']...

In [46]: pd.__version__ Out[46]: '0.25.0.dev0+593.g307265e28'In [47]: pd.to_datetime(['15010101', '20150101', np....

Code Sample, a copy-pastable example if possibleimport pandas as pdimport datetime as dtprint(dt.datetime.strptime('2012...

ATM Series[categorical].values gives a Categorical and Series[sparse].values gives a SparseArray. Interval, Period, and...

This looks odd - the docstring is broken in two, and there's an assignment in the middle?https://github.com/pandas-dev/p...

IN:import pandas as pddf = pd.DataFrame([[{'a', 'b'}], [{'b','c'}], [{'b', 'a'}]])dfOUT: 00 {a, b}1 {c, b}2 {a,...

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Currently using as_index=False only includes in-axis groupers (see #49519). Defining a Grouper by the key argument is in...

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Trimming the tracebacks to make it clearer:In [19]: to_datetime(['2020-01-01', 'foo'], format='%Y-%m-%d') # ISO, shows ...

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When we have exact same columns in source and target dataframes and distinct number of rows then we are seeing below exc...