Log Message:
py-pandas: updated to 2.1.2

2.1.2

Deprecations

Reverted deprecation of fill_method=None in DataFrame.pct_change(), \ 
Series.pct_change(), DataFrameGroupBy.pct_change(), and \ 
SeriesGroupBy.pct_change(); the values 'backfill', 'bfill', 'pad', and 'ffill' \ 
are still deprecated (GH 53491)

Fixed regressions

Fixed regression in DataFrame.join() where result has missing values and dtype \ 
is arrow backed string (GH 55348)
Fixed regression in rolling() where non-nanosecond index or on column would \ 
produce incorrect results (GH 55026, GH 55106, GH 55299)
Fixed regression in DataFrame.resample() which was extrapolating back to origin \ 
when origin was outside its bounds (GH 55064)
Fixed regression in DataFrame.sort_index() which was not sorting correctly when \ 
the index was a sliced MultiIndex (GH 55379)
Fixed regression in DataFrameGroupBy.agg() and SeriesGroupBy.agg() where if the \ 
option compute.use_numba was set to True, groupby methods not supported by the \ 
numba engine would raise a TypeError (GH 55520)
Fixed performance regression with wide DataFrames, typically involving methods \ 
where all columns were accessed individually (GH 55256, GH 55245)
Fixed regression in merge_asof() raising TypeError for by with datetime and \ 
timedelta dtypes (GH 55453)
Fixed regression in read_parquet() when reading a file with a string column \ 
consisting of more than 2 GB of string data and using the "string" \ 
dtype (GH 55606)
Fixed regression in DataFrame.to_sql() not roundtripping datetime columns \ 
correctly for sqlite when using detect_types (GH 55554)
Fixed regression in construction of certain DataFrame or Series subclasses (GH 54922)

Bug fixes

Fixed bug in DataFrameGroupBy reductions not preserving object dtype when \ 
infer_string is set (GH 55620)
Fixed bug in SeriesGroupBy.value_counts() returning incorrect dtype for string \ 
columns (GH 55627)
Fixed bug in Categorical.equals() if other has arrow backed string dtype (GH 55364)
Fixed bug in DataFrame.__setitem__() not inferring string dtype for \ 
zero-dimensional array with infer_string=True (GH 55366)
Fixed bug in DataFrame.idxmin() and DataFrame.idxmax() raising for arrow dtypes \ 
(GH 55368)
Fixed bug in DataFrame.interpolate() raising incorrect error message (GH 55347)
Fixed bug in Index.insert() raising when inserting None into Index with \ 
dtype="string[pyarrow_numpy]" (GH 55365)
Fixed bug in Series.all() and Series.any() not treating missing values correctly \ 
for dtype="string[pyarrow_numpy]" (GH 55367)
Fixed bug in Series.floordiv() for ArrowDtype (GH 55561)
Fixed bug in Series.mode() not sorting values for arrow backed string dtype (GH \ 
55621)
Fixed bug in Series.rank() for string[pyarrow_numpy] dtype (GH 55362)
Fixed bug in Series.str.extractall() for ArrowDtype dtype being converted to \ 
object (GH 53846)
Fixed bug where PDEP-6 warning about setting an item of an incompatible dtype \ 
was being shown when creating a new conditional column (GH 55025)
Silence Period[B] warnings introduced by GH 53446 during normal plotting \ 
activity (GH 55138)
Fixed bug in Series constructor not inferring string dtype when NA is the first \ 
value and infer_string is set (:issue:` 55655`)

Other

Fixed non-working installation of optional dependency group output_formatting. \ 
Replacing underscore _ with a dash - fixes broken dependency resolution. A \ 
correct way to use now is pip install pandas[output-formatting].