---
- branch: MAIN
  date: Wed Mar  6 18:56:35 UTC 2024
  files:
  - new: '1.59'
    old: '1.58'
    path: pkgsrc/math/py-pandas/Makefile
    pathrev: pkgsrc/math/py-pandas/Makefile@1.59
    type: modified
  - new: '1.27'
    old: '1.26'
    path: pkgsrc/math/py-pandas/PLIST
    pathrev: pkgsrc/math/py-pandas/PLIST@1.27
    type: modified
  - new: '1.41'
    old: '1.40'
    path: pkgsrc/math/py-pandas/distinfo
    pathrev: pkgsrc/math/py-pandas/distinfo@1.41
    type: modified
  id: 20240306T185635Z.01fbda9ba085f3b2552055b127f8abb517ab6079
  log: "py-pandas: updated to 2.2.1\n\nWhat窶å\x86± new in 2.2.1 (February 22, 2024)\n\nThese
    are the changes in pandas 2.2.1. See Release notes for a full changelog including
    other versions of pandas.\n\nEnhancements\n\nAdded pyarrow pip extra so users
    can install pandas and pyarrow with pip with pip install pandas[pyarrow] (GH 54466)\nFixed
    regressions\n\nFixed memory leak in read_csv() (GH 57039)\nFixed performance regression
    in Series.combine_first() (GH 55845)\nFixed regression causing overflow for near-minimum
    timestamps (GH 57150)\nFixed regression in concat() changing long-standing behavior
    that always sorted the non-concatenation axis when the axis was a DatetimeIndex
    (GH 57006)\nFixed regression in merge_ordered() raising TypeError for fill_method=\"ffill\"
    and how=\"left\" (GH 57010)\nFixed regression in pandas.testing.assert_series_equal()
    defaulting to check_exact=True when checking the Index (GH 57067)\nFixed regression
    in read_json() where an Index would be returned instead of a RangeIndex (GH 57429)\nFixed
    regression in wide_to_long() raising an AttributeError for string columns (GH
    57066)\nFixed regression in DataFrameGroupBy.idxmin(), DataFrameGroupBy.idxmax(),
    SeriesGroupBy.idxmin(), SeriesGroupBy.idxmax() ignoring the skipna argument (GH
    57040)\nFixed regression in DataFrameGroupBy.idxmin(), DataFrameGroupBy.idxmax(),
    SeriesGroupBy.idxmin(), SeriesGroupBy.idxmax() where values containing the minimum
    or maximum value for the dtype could produce incorrect results (GH 57040)\nFixed
    regression in CategoricalIndex.difference() raising KeyError when other contains
    null values other than NaN (GH 57318)\nFixed regression in DataFrame.groupby()
    raising ValueError when grouping by a Series in some cases (GH 57276)\nFixed regression
    in DataFrame.loc() raising IndexError for non-unique, masked dtype indexes where
    result has more than 10,000 rows (GH 57027)\nFixed regression in DataFrame.loc()
    which was unnecessarily throwing 窶彿ncompatible dtype warning窶� when expanding
    with partial row indexer and multiple columns (see PDEP6) (GH 56503)\nFixed regression
    in DataFrame.map() with na_action=\"ignore\" not being respected for NumPy nullable
    and ArrowDtypes (GH 57316)\nFixed regression in DataFrame.merge() raising ValueError
    for certain types of 3rd-party extension arrays (GH 57316)\nFixed regression in
    DataFrame.query() with all NaT column with object dtype (GH 57068)\nFixed regression
    in DataFrame.shift() raising AssertionError for axis=1 and empty DataFrame (GH
    57301)\nFixed regression in DataFrame.sort_index() not producing a stable sort
    for a index with duplicates (GH 57151)\nFixed regression in DataFrame.to_dict()
    with orient='list' and datetime or timedelta types returning integers (GH 54824)\nFixed
    regression in DataFrame.to_json() converting nullable integers to floats (GH 57224)\nFixed
    regression in DataFrame.to_sql() when method=\"multi\" is passed and the dialect
    type is not Oracle (GH 57310)\nFixed regression in DataFrame.transpose() with
    nullable extension dtypes not having F-contiguous data potentially causing exceptions
    when used (GH 57315)\nFixed regression in DataFrame.update() emitting incorrect
    warnings about downcasting (GH 57124)\nFixed regression in DataFrameGroupBy.idxmin(),
    DataFrameGroupBy.idxmax(), SeriesGroupBy.idxmin(), SeriesGroupBy.idxmax() ignoring
    the skipna argument (GH 57040)\nFixed regression in DataFrameGroupBy.idxmin(),
    DataFrameGroupBy.idxmax(), SeriesGroupBy.idxmin(), SeriesGroupBy.idxmax() where
    values containing the minimum or maximum value for the dtype could produce incorrect
    results (GH 57040)\nFixed regression in ExtensionArray.to_numpy() raising for
    non-numeric masked dtypes (GH 56991)\nFixed regression in Index.join() raising
    TypeError when joining an empty index to a non-empty index containing mixed dtype
    values (GH 57048)\nFixed regression in Series.astype() introducing decimals when
    converting from integer with missing values to string dtype (GH 57418)\nFixed
    regression in Series.pct_change() raising a ValueError for an empty Series (GH
    57056)\nFixed regression in Series.to_numpy() when dtype is given as float and
    the data contains NaNs (GH 57121)\nFixed regression in addition or subtraction
    of DateOffset objects with millisecond components to datetime64 Index, Series,
    or DataFrame (GH 57529)\n\nBug fixes\n\nFixed bug in pandas.api.interchange.from_dataframe()
    which was raising for Nullable integers (GH 55069)\nFixed bug in pandas.api.interchange.from_dataframe()
    which was raising for empty inputs (GH 56700)\nFixed bug in pandas.api.interchange.from_dataframe()
    which wasn窶å\x86² converting columns names to strings (GH 55069)\nFixed bug
    in DataFrame.__getitem__() for empty DataFrame with Copy-on-Write enabled (GH
    57130)\nFixed bug in PeriodIndex.asfreq() which was silently converting frequencies
    which are not supported as period frequencies instead of raising an error (GH
    56945)\n"
  module: pkgsrc
  subject: 'CVS commit: pkgsrc/math/py-pandas'
  unixtime: '1709751395'
  user: adam