python312-pandas-2.2.3-1.1 RPM for i586

From OpenSuSE Ports Tumbleweed for i586

Pandas is a Python package providing data structures designed for
working with structured (tabular, multidimensional, potentially
heterogeneous) and time series data. It is a high-level building
block for doing data analysis in Python.

Provides

• python312-pandas
• lib.cpython-312-i386-linux-gnu.so
• python3.12dist(pandas)
• python312-pandas(x86-32)
• python312-pandas-doc
• python3dist(pandas)

Requires

• libc.so.6
• libc.so.6(GLIBC_2.0)
• libc.so.6(GLIBC_2.1.3)
• libc.so.6(GLIBC_2.3)
• libc.so.6(GLIBC_2.3.4)
• libc.so.6(GLIBC_2.4)
• libgcc_s.so.1
• libgcc_s.so.1(GCC_3.0)
• libm.so.6
• libm.so.6(GLIBC_2.0)
• libm.so.6(GLIBC_2.1)
• libm.so.6(GLIBC_2.29)
• libstdc++.so.6
• libstdc++.so.6(CXXABI_1.3)
• libstdc++.so.6(CXXABI_1.3.9)
• libstdc++.so.6(GLIBCXX_3.4)
• libstdc++.so.6(GLIBCXX_3.4.21)
• libstdc++.so.6(GLIBCXX_3.4.29)
• python(abi) = 3.12
• python312-numpy >= 1.26
• python312-python-dateutil >= 2.8.2
• python312-pytz >= 2020.1
• rpmlib(CompressedFileNames) <= 3.0.4-1
• rpmlib(FileDigests) <= 4.6.0-1
• rpmlib(PartialHardlinkSets) <= 4.0.4-1
• rpmlib(PayloadFilesHavePrefix) <= 4.0-1
• rpmlib(PayloadIsZstd) <= 5.4.18-1
• timezone >= 2022a

License

BSD-3-Clause

Changelog

* Fri Oct 25 2024 Steve Kowalik <steven.kowalik@suse.com>
  - Skip two tests that fail with Numpy 2.1.
* Fri Oct 11 2024 Steve Kowalik <steven.kowalik@suse.com>
  - Prepare for Python 3.13, by skipping it if we aren't building for it.
* Tue Oct 01 2024 John Paul Adrian Glaubitz <adrian.glaubitz@suse.com>
  - Update to 2.2.3
    * Bug in eval() on complex including division /
      discards imaginary part. (GH 21374)
    * Minor fixes for numpy 2.1 compatibility. (GH 59444)
    * Missing licenses for 3rd party dependencies were
      added back into the wheels. (GH 58632)
  - Drop pandas-pr58269-pyarrow16xpass.patch, merged upstream
  - Drop pandas-pr58484-matplotlib.patch, merged upstream
  - Drop pandas-pr59175-matplotlib.patch, merged upstream
  - Drop pandas-pr59353-np2eval.patch, merged upstream
  - Drop tests-npdev.patch, merged upstream
  - Drop tests-timedelta.patch, merged upstream
  - Refresh tests-nomkl.patch
  - Renumber remaining patches
* Mon Sep 16 2024 Markéta Machová <mmachova@suse.com>
  - Add bunch of patches to fix the testsuite with NumPy 2.1
    * tests-wasm.patch
    * tests-nomkl.patch
    * tests-timedelta.patch
    * tests-npdev.patch
  - Skip one test failing with new timezone, the patch would be too big
* Sun Sep 08 2024 Ben Greiner <code@bnavigator.de>
  - Drop pandas-pr58720-xarray-dp.patch: It does no longer xfail
* Wed Aug 28 2024 Ben Greiner <code@bnavigator.de>
  - Skip overflowing tests on 32-bit
* Sun Aug 25 2024 Ben Greiner <code@bnavigator.de>
  - Add pandas-pr59353-np2eval.patch
    * gh#pandas-dev/pandas#59353
    * gh#pandas-dev/pandas#58548
* Thu Jul 11 2024 Ben Greiner <code@bnavigator.de>
  - Add pandas-pr59175-matplotlib.patch -- gh#pandas-dev/pandas#59175
* Sun May 12 2024 Matej Cepl <mcepl@cepl.eu>
  - Add pandas-pr58269-pyarrow16xpass.patch
    (gh#pandas-dev/pandas!58269)
  - Add pandas-pr58720-xarray-dp.patch
    (gh#pandas-dev/pandas!58720), which makes pandas compatible
    with the modern xarray
  - Add pandas-pr58484-matplotlib.patch
    (gh#pandas-dev/pandas!58484), which makes pandas compatible
    with the modern matplotlib
  - Skip also test_plot_scatter_shape (gh#pandas-dev/pandas#58851)
* Thu May 09 2024 Matej Cepl <mcepl@cepl.eu>
  - Skip build on Python 3.10 ... too many dependencies are missing.
* Tue Apr 30 2024 Ben Greiner <code@bnavigator.de>
  - Update to 2.2.2
    * Pandas 2.2.2 is now compatible with numpy 2.0
    * Pandas 2.2.2 is the first version of pandas that is generally
      compatible with the upcoming numpy 2.0 release, and wheels for
      pandas 2.2.2 will work with both numpy 1.x and 2.x. One major
      caveat is that arrays created with numpy 2.0’s new StringDtype
      will convert to object dtyped arrays upon Series/DataFrame
      creation. Full support for numpy 2.0’s StringDtype is expected
      to land in pandas 3.0.
    * As usual please report any bugs discovered to our issue tracker
    [#]# Fixed regressions
    * DataFrame.__dataframe__() was producing incorrect data buffers
      when the a column’s type was a pandas nullable on with missing
      values (GH 56702)
    * DataFrame.__dataframe__() was producing incorrect data buffers
      when the a column’s type was a pyarrow nullable on with missing
      values (GH 57664)
    * Avoid issuing a spurious DeprecationWarning when a custom
      DataFrame or Series subclass method is called (GH 57553)
    * Fixed regression in precision of to_datetime() with string and
      unit input (GH 57051)
    [#]# Bug fixes
    * DataFrame.__dataframe__() was producing incorrect data buffers
      when the column’s type was nullable boolean (GH 55332)
    * DataFrame.__dataframe__() was showing bytemask instead of
      bitmask for 'string[pyarrow]' validity buffer (GH 57762)
    * DataFrame.__dataframe__() was showing non-null validity buffer
      (instead of None) 'string[pyarrow]' without missing values (GH
      57761)
    * DataFrame.to_sql() was failing to find the right table when
      using the schema argument (GH 57539)
  - Remove obsolete python39 multibuild
  - Add pandas-pr58269-pyarrow16xpass.patch
    gh#pandas-dev/pandas#58269
* Mon Mar 04 2024 Ben Greiner <code@bnavigator.de>
  - No xarrary for python 3.9 anymore: Remove from pandas[all] and
    exclude pandas[computation]. Reenable testing to check it.
    It will be skipped automatically when python39 is dropped from
    Tumbleweed globally.
  - Fix 15.x build: requires newer compiler
  - Fix 15.x test skips: sle15_python_module_pythons needs to be
    declared earlier
* Fri Feb 23 2024 Ben Greiner <code@bnavigator.de>
  - Update to 2.2.1
    [#]# Enhancements
    * Added pyarrow pip extra so users can install pandas and pyarrow
      with pip with pip install pandas[pyarrow] (#54466)
    [#]# Fixed regressions
    * Fixed memory leak in `read_csv` (#57039)
    * Fixed performance regression in `Series.combine_first` (#55845)
    * Fixed regression causing overflow for near-minimum timestamps
      (#57150)
    * Fixed regression in `concat` changing long-standing behavior
      that always sorted the non-concatenation axis when the axis was
      a `DatetimeIndex` (#57006)
    * Fixed regression in `merge_ordered` raising TypeError for
      fill_method="ffill" and how="left" (#57010)
    * Fixed regression in `pandas.testing.assert_series_equal`
      defaulting to check_exact=True when checking the `Index`
      (#57067)
    * Fixed regression in `read_json` where an `Index` would be
      returned instead of a `RangeIndex` (#57429)
    * Fixed regression in `wide_to_long` raising an AttributeError
      for string columns (#57066)
    * Fixed regression in `.DataFrameGroupBy.idxmin`,
      `.DataFrameGroupBy.idxmax`, `.SeriesGroupBy.idxmin`,
      `.SeriesGroupBy.idxmax` ignoring the skipna argument (#57040)
    * Fixed 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
      (#57040)
    * Fixed regression in `CategoricalIndex.difference` raising
      KeyError when other contains null values other than NaN
      (#57318)
    * Fixed regression in `DataFrame.groupby` raising ValueError when
      grouping by a `Series` in some cases (#57276)
    * Fixed regression in `DataFrame.loc` raising IndexError for
      non-unique, masked dtype indexes where result has more than
      10,000 rows (#57027)
    * Fixed regression in `DataFrame.loc` which was unnecessarily
      throwing "incompatible dtype warning" when expanding with
      partial row indexer and multiple columns (see PDEP6) (#56503)
    * Fixed regression in `DataFrame.map` with na_action="ignore" not
      being respected for NumPy nullable and `ArrowDtypes` (#57316)
    * Fixed regression in `DataFrame.merge` raising ValueError for
      certain types of 3rd-party extension arrays (#57316)
    * Fixed regression in `DataFrame.query` with all NaT column with
      object dtype (#57068)
    * Fixed regression in `DataFrame.shift` raising AssertionError
      for axis=1 and empty `DataFrame` (#57301)
    * Fixed regression in `DataFrame.sort_index` not producing a
      stable sort for a index with duplicates (#57151)
    * Fixed regression in `DataFrame.to_dict` with orient='list' and
      datetime or timedelta types returning integers (#54824)
    * Fixed regression in `DataFrame.to_json` converting nullable
      integers to floats (#57224)
    * Fixed regression in `DataFrame.to_sql` when method="multi" is
      passed and the dialect type is not Oracle (#57310)
    * Fixed regression in `DataFrame.transpose` with nullable
      extension dtypes not having F-contiguous data potentially
      causing exceptions when used (#57315)
    * Fixed regression in `DataFrame.update` emitting incorrect
      warnings about downcasting (#57124)
    * Fixed regression in `DataFrameGroupBy.idxmin`,
      `DataFrameGroupBy.idxmax`, `SeriesGroupBy.idxmin`,
      `SeriesGroupBy.idxmax` ignoring the skipna argument (#57040)
    * Fixed 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
      (#57040)
    * Fixed regression in `ExtensionArray.to_numpy` raising for
      non-numeric masked dtypes (#56991)
    * Fixed regression in `Index.join` raising TypeError when joining
      an empty index to a non-empty index containing mixed dtype
      values (#57048)
    * Fixed regression in `Series.astype` introducing decimals when
      converting from integer with missing values to string dtype
      (#57418)
    * Fixed regression in `Series.pct_change` raising a ValueError
      for an empty `Series` (#57056)
    * Fixed regression in `Series.to_numpy` when dtype is given as
      float and the data contains NaNs (#57121)
    * Fixed regression in addition or subtraction of `DateOffset`
      objects with millisecond components to datetime64 `Index`,
      `Series`, or `DataFrame` (#57529)
    [#]# Bug fixes
    * Fixed bug in `pandas.api.interchange.from_dataframe` which was
      raising for Nullable integers (#55069)
    * Fixed bug in `pandas.api.interchange.from_dataframe` which was
      raising for empty inputs (#56700)
    * Fixed bug in `pandas.api.interchange.from_dataframe` which
      wasn't converting columns names to strings (#55069)
    * Fixed bug in `DataFrame.__getitem__` for empty `DataFrame` with
      Copy-on-Write enabled (#57130)
    * Fixed bug in `PeriodIndex.asfreq` which was silently converting
      frequencies which are not supported as period frequencies
      instead of raising an error (#56945)
    [#]# Note
    * The DeprecationWarning that was raised when pandas was imported
      without PyArrow being installed has been removed. This decision
      was made because the warning was too noisy for too many users
      and a lot of feedback was collected about the decision to make
      PyArrow a required dependency. Pandas is currently considering
      the decision whether or not PyArrow should be added as a hard
      dependency in 3.0. Interested users can follow the discussion
      here.
    * Added the argument skipna to `DataFrameGroupBy.first`,
      `DataFrameGroupBy.last`, `SeriesGroupBy.first`, and
      `SeriesGroupBy.last`; achieving skipna=False used to be
      available via `DataFrameGroupBy.nth`, but the behavior was
      changed in pandas 2.0.0 (#57019)
    * Added the argument skipna to `Resampler.first`,
      `Resampler.last` (#57019)
  - Release notes for 2.2.0
    * For full changelog see
      https://github.com/pandas-dev/pandas/blob/main/doc/source/whatsnew/v2.2.0.rst
    [#]# Enhancements
    * ADBC Driver support in to_sql and read_sql
    * Create a pandas Series based on one or more conditions
    * to_numpy for NumPy nullable and Arrow types converts to
      suitable NumPy dtype
    * Series.struct accessor for PyArrow structured data
    * Series.list accessor for PyArrow list data
    * Calamine engine for `read_excel`
    [#]# Notable bug fixes
    * `merge` and `DataFrame.join` now consistently follow documented
      sort behavior
    * `merge` and `DataFrame.join` no longer reorder levels when
      levels differ
    * Increased minimum versions for dependencies
    [#]# Deprecations
    * Chained assignment
    * Deprecate aliases M, Q, Y, etc. in favour of ME, QE, YE, etc.
      for offsets
    * Deprecated automatic downcasting
  - Simplify flavor test setup: obs can evaluate %{shrink:} now
* Tue Feb 06 2024 Dirk Müller <dmueller@suse.com>
  - enable py312 testing, remove py39 testing
* Fri Jan 12 2024 pgajdos@suse.com
  - have a possibility to not use pyarrow [bsc#1218592]
* Wed Dec 13 2023 Ben Greiner <code@bnavigator.de>
  - Update to 2.1.4
    [#]# Fixed regressions
    * Fixed regression when trying to read a pickled pandas DataFrame
      from pandas 1.3 (GH 55137)
    [#]# Bug fixes
    * Bug in Series constructor raising DeprecationWarning when index
      is a list of Series (GH 55228)
    * Bug in Series when trying to cast date-like string inputs to
      ArrowDtype of pyarrow.timestamp (GH 56266)
    * Bug in DataFrame.apply() where passing raw=True ignored args
      passed to the applied function (GH 55753)
    * Bug in Index.__getitem__() returning wrong result for Arrow
      dtypes and negative stepsize (GH 55832)
    * Fixed bug in to_numeric() converting to extension dtype for
      string[pyarrow_numpy] dtype (GH 56179)
    * Fixed bug in DataFrameGroupBy.min() and DataFrameGroupBy.max()
      not preserving extension dtype for empty object (GH 55619)
    * Fixed bug in DataFrame.__setitem__() casting Index with
      object-dtype to PyArrow backed strings when infer_string option
      is set (GH 55638)
    * Fixed bug in DataFrame.to_hdf() raising when columns have
      StringDtype (GH 55088)
    * Fixed bug in Index.insert() casting object-dtype to PyArrow
      backed strings when infer_string option is set (GH 55638)
    * Fixed bug in Series.__ne__() resulting in False for comparison
      between NA and string value for dtype="string[pyarrow_numpy]"
      (GH 56122)
    * Fixed bug in Series.mode() not keeping object dtype when
      infer_string is set (GH 56183)
    * Fixed bug in Series.reset_index() not preserving object dtype
      when infer_string is set (GH 56160)
    * Fixed bug in Series.str.split() and Series.str.rsplit() when
      pat=None for ArrowDtype with pyarrow.string (GH 56271)
    * Fixed bug in Series.str.translate() losing object dtype when
      string option is set (GH 56152)
  - Go back to Cython0, it has NOT been unpinned by upstream released
    version
    * https://github.com/pandas-dev/pandas/blob/v2.1.4/pyproject.toml#L8
    * See also gh#jsonpickle/jsonpickle#460
* Fri Dec 01 2023 Steve Kowalik <steven.kowalik@suse.com>
  - Update to 2.1.3:
    * 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
    * Fixed regressions
      + Fixed infinite recursion from operations that return a new object on
      some DataFrame subclasses
      + Fixed regression in DataFrame.join() where result has missing values
      and dtype is arrow backed string
      + Fixed regression in rolling() where non-nanosecond index or on column
      would produce incorrect results
      + Fixed regression in DataFrame.resample() which was extrapolating back
      to origin when origin was outside its bounds
      + Fixed regression in DataFrame.sort_index() which was not sorting
      correctly when the index was a sliced MultiIndex
      + 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
      + Fixed performance regression with wide DataFrames, typically
      involving methods where all columns were accessed individually
      + Fixed regression in merge_asof() raising TypeError for by with
      datetime and timedelta dtypes
      + 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
      + Fixed regression in DataFrame.to_sql() not roundtripping datetime
      columns correctly for sqlite when using detect_types
      + Fixed regression in construction of certain DataFrame or Series
      subclasses
    * Bug fixes
      + Bug in DatetimeIndex.diff() raising TypeError
      + Bug in Index.isin() raising for Arrow backed string and None value
      + Fix read_parquet() and read_feather() for CVE-2023-47248
      + Fixed bug in DataFrameGroupBy reductions not preserving object dtype
      when infer_string is set
      + Fixed bug in SeriesGroupBy.value_counts() returning incorrect dtype for
      string columns
      + Fixed bug in Categorical.equals() if other has arrow backed string dtype
      + Fixed bug in DataFrame.__setitem__() not inferring string dtype for
      zero-dimensional array with infer_string=True
      + Fixed bug in DataFrame.idxmin() and DataFrame.idxmax() raising for
      arrow dtypes
      + Fixed bug in DataFrame.interpolate() raising incorrect error message
      + Fixed bug in Index.insert() raising when inserting None into Index with
      dtype="string[pyarrow_numpy]"
      + Fixed bug in Series.all() and Series.any() not treating missing values
      correctly for dtype="string[pyarrow_numpy]"
      + Fixed bug in Series.floordiv() for ArrowDtype
      + Fixed bug in Series.mode() not sorting values for arrow backed string
      dtype
      + Fixed bug in Series.rank() for string[pyarrow_numpy] dtype
      + Fixed bug in Series.str.extractall() for ArrowDtype dtype being
      converted to object
      + Fixed bug where PDEP-6 warning about setting an item of an
      incompatible dtype was being shown when creating a new conditional
      column
      + Silence Period[B] warnings introduced by GH 53446 during normal
      plotting activity
      + Fixed bug in Series constructor not inferring string dtype when NA is
      the first value and infer_string is set
  - Prepare for Python 3.12, include the flavor check.
  - Unpin Cython, upstream has moved onto 3.
* Sat Oct 14 2023 Bernhard Wiedemann <bwiedemann@suse.com>
  - Fix random build failures
* Sat Oct 07 2023 Ben Greiner <code@bnavigator.de>
  - Update to 2.1.1
    [#]# Fixed regressions
    * Fixed regression in concat() when DataFrame ‘s have two
      different extension dtypes (GH 54848)
    * Fixed regression in merge() when merging over a PyArrow string
      index (GH 54894)
    * Fixed regression in read_csv() when usecols is given and dtypes
      is a dict for engine="python" (GH 54868)
    * Fixed regression in read_csv() when delim_whitespace is True
      (GH 54918, GH 54931)
    * Fixed regression in GroupBy.get_group() raising for axis=1 (GH
      54858)
    * Fixed regression in DataFrame.__setitem__() raising
      AssertionError when setting a Series with a partial MultiIndex
      (GH 54875)
    * Fixed regression in DataFrame.filter() not respecting the order
      of elements for filter (GH 54980)
    * Fixed regression in DataFrame.to_sql() not roundtripping
      datetime columns correctly for sqlite (GH 54877)
    * Fixed regression in DataFrameGroupBy.agg() when aggregating a
      DataFrame with duplicate column names using a dictionary (GH
      55006)
    * Fixed regression in MultiIndex.append() raising when appending
      overlapping IntervalIndex levels (GH 54934)
    * Fixed regression in Series.drop_duplicates() for PyArrow
      strings (GH 54904)
    * Fixed regression in Series.interpolate() raising when
      fill_value was given (GH 54920)
    * Fixed regression in Series.value_counts() raising for numeric
      data if bins was specified (GH 54857)
    * Fixed regression in comparison operations for PyArrow backed
      columns not propagating exceptions correctly (GH 54944)
    * Fixed regression when comparing a Series with datetime64 dtype
      with None (GH 54870)
    [#]# Bug fixes
    * Fixed bug for ArrowDtype raising NotImplementedError for
      fixed-size list (GH 55000)
    * Fixed bug in DataFrame.stack() with future_stack=True and
      columns a non-MultiIndex consisting of tuples (GH 54948)
    * Fixed bug in Series.dt.tz() with ArrowDtype where a string was
      returned instead of a tzinfo object (GH 55003)
    * Fixed bug in Series.pct_change() and DataFrame.pct_change()
      showing unnecessary FutureWarning (GH 54981)
    [#]# Other
    * Reverted the deprecation that disallowed Series.apply()
      returning a DataFrame when the passed-in callable returns a
      Series object (GH 52116)
  - Drop pandas-pr55073-pyarrow13.patch merged upstream
* Sun Sep 10 2023 Ben Greiner <code@bnavigator.de>
  - Fix test failures with pyarrow 13
    * Add pandas-pr55073-pyarrow13.patch
    * gh#pandas-dev/pandas#55073
    * gh#pandas-dev/pandas#55048
    * gh#pandas-dev/pandas#55020
* Tue Sep 05 2023 Ben Greiner <code@bnavigator.de>
  - Use git cloned archive gh#pandas-dev/pandas#54907
* Thu Aug 31 2023 Ben Greiner <code@bnavigator.de>
  - Update to 2.1.0
    * https://pandas.pydata.org/pandas-docs/version/2.1.0/whatsnew/v2.1.0.html
    * Avoid NumPy object dtype for strings by default
    * DataFrame reductions preserve extension dtypes
    * Copy-on-Write improvements
    * New DataFrame.map() method and support for ExtensionArrays
    * New implementation of DataFrame.stack()
    * Other minor enhancements (see link above)
    [#]# Backwards incompatible API changes
    * pandas 2.1.0 supports Python 3.9 and higher
    * Increased minimum versions for numpy 1.22.3 and some optional
      dependencies
    * arrays.PandasArray has been renamed NumpyExtensionArray and the
      attached dtype name changed from PandasDtype to NumpyEADtype;
      importing PandasArray still works until the next major version
      (GH 53694)
    [#]# Deprecations
    * Deprecated silent upcasting in setitem-like Series operations
    * Deprecated parsing datetimes with mixed time zones
    * Other Deprecation (see link above)
    [#]# More
    * Performance Improvements (see link above)
    * Bug fixes (see linkl above)
  - Switch to meson build system
* Sun Aug 13 2023 Dirk Müller <dmueller@suse.com>
  - update to 2.0.3:
    * Bug in Timestamp.weekday`() was returning incorrect results
      before '0000-02-29'
    * Fixed performance regression in merging on datetime-like columns
    * Fixed regression when DataFrame.to_string() creates extra space
      for string dtypes
    * Bug in DataFrame.convert_dtype() and Series.convert_dtype()
      when trying to convert ArrowDtype with dtype_backend="nullable_numpy"
    * Bug in RangeIndex.union() when using sort=True with another
      RangeIndex
    * Bug in Series.reindex() when expanding a non-nanosecond datetime
      or timedelta
    * Bug in read_csv() when defining dtype with bool[pyarrow] for
      the "c" and "python" engines
    * Bug in Series.str.split() and Series.str.rsplit() with expand=True
    * Bug in indexing methods (e.g. DataFrame.__getitem__()) where
      taking the entire DataFrame/Series would raise an OverflowError
      when Copy on Write was enabled the length of the array was over
      the maximum size a 32-bit integer can hold
    * Bug when constructing a DataFrame with columns of an ArrowDtype
      with a pyarrow.dictionary type that reindexes the data
    * Bug when indexing a DataFrame or Series with an Index with a
      timestamp ArrowDtype would raise an AttributeError
  - drop pandas-fix-tests.patch (upstream)
* Thu Jun 22 2023 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Fix tests on aarch64:
    * pandas-fix-tests.patch
* Sun Jun 11 2023 Johannes Kastl <kastl@b1-systems.de>
  - do not use %elif for python-numpy dependency condition
* Wed Jun 07 2023 Ben Greiner <code@bnavigator.de>
  - Increase minimum memory constraints for tests
* Sat May 27 2023 Ben Greiner <code@bnavigator.de>
  - Update to 2.0.2
    [#]# Fixed regressions
    * Fixed performance regression in GroupBy.apply() (GH53195)
    * Fixed regression in merge() on Windows when dtype is np.intc
      (GH52451)
    * Fixed regression in read_sql() dropping columns with duplicated
      column names (GH53117)
    * Fixed regression in DataFrame.loc() losing MultiIndex name when
      enlarging object (GH53053)
    * Fixed regression in DataFrame.to_string() printing a backslash
      at the end of the first row of data, instead of headers, when
      the DataFrame doesn’t fit the line width (GH53054)
    * Fixed regression in MultiIndex.join() returning levels in wrong
      order (GH53093)
    [#]# Bug fixes
    * Bug in arrays.ArrowExtensionArray incorrectly assigning dict
      instead of list for .type with pyarrow.map_ and raising a
      NotImplementedError with pyarrow.struct (GH53328)
    * Bug in api.interchange.from_dataframe() was raising IndexError
      on empty categorical data (GH53077)
    * Bug in api.interchange.from_dataframe() was returning
      DataFrame’s of incorrect sizes when called on slices (GH52824)
    * Bug in api.interchange.from_dataframe() was unnecessarily
      raising on bitmasks (GH49888)
    * Bug in merge() when merging on datetime columns on different
      resolutions (GH53200)
    * Bug in read_csv() raising OverflowError for engine="pyarrow"
      and parse_dates set (GH53295)
    * Bug in to_datetime() was inferring format to contain "%H"
      instead of "%I" if date contained “AM” / “PM” tokens (GH53147)
    * Bug in DataFrame.convert_dtypes() ignores convert_* keywords
      when set to False dtype_backend="pyarrow" (GH52872)
    * Bug in DataFrame.convert_dtypes() losing timezone for tz-aware
      dtypes and dtype_backend="pyarrow" (GH53382)
    * Bug in DataFrame.sort_values() raising for PyArrow dictionary
      dtype (GH53232)
    * Bug in Series.describe() treating pyarrow-backed timestamps and
      timedeltas as categorical data (GH53001)
    * Bug in Series.rename() not making a lazy copy when
      Copy-on-Write is enabled when a scalar is passed to it
      (GH52450)
    * Bug in pd.array() raising for NumPy array and pa.large_string
      or pa.large_binary (GH52590)
    * Bug in DataFrame.__getitem__() not preserving dtypes for
      MultiIndex partial keys (GH51895)
    [#]# Other
    * Raised a better error message when calling
      Series.dt.to_pydatetime() with ArrowDtype with pyarrow.date32
      or pyarrow.date64 type (GH52812)
  - Release to 2.0.1
    [#]# Fixed regressions
    * Fixed regression for subclassed Series when constructing from a
      dictionary (GH52445)
    * Fixed regression in SeriesGroupBy.agg() failing when grouping
      with categorical data, multiple groupings, as_index=False, and
      a list of aggregations (GH52760)
    * Fixed regression in DataFrame.pivot() changing Index name of
      input object (GH52629)
    * Fixed regression in DataFrame.resample() raising on a DataFrame
      with no columns (GH52484)
    * Fixed regression in DataFrame.sort_values() not resetting index
      when DataFrame is already sorted and ignore_index=True
      (GH52553)
    * Fixed regression in MultiIndex.isin() raising TypeError for
      Generator (GH52568)
    * Fixed regression in Series.describe() showing RuntimeWarning
      for extension dtype Series with one element (GH52515)
    * Fixed regression when adding a new column to a DataFrame when
      the DataFrame.columns was a RangeIndex and the new key was
      hashable but not a scalar (GH52652)
    [#]# Bug fixes
    * Bug in Series.dt.days that would overflow int32 number of days
      (GH52391)
    * Bug in arrays.DatetimeArray constructor returning an incorrect
      unit when passed a non-nanosecond numpy datetime array
      (GH52555)
    * Bug in ArrowExtensionArray with duration dtype overflowing when
      constructed from data containing numpy NaT (GH52843)
    * Bug in Series.dt.round() when passing a freq of equal or higher
      resolution compared to the Series would raise a
      ZeroDivisionError (GH52761)
    * Bug in Series.median() with ArrowDtype returning an approximate
      median (GH52679)
    * Bug in api.interchange.from_dataframe() was unnecessarily
      raising on categorical dtypes (GH49889)
    * Bug in api.interchange.from_dataframe() was unnecessarily
      raising on large string dtypes (GH52795)
    * Bug in pandas.testing.assert_series_equal() where
      check_dtype=False would still raise for datetime or timedelta
      types with different resolutions (GH52449)
    * Bug in read_csv() casting PyArrow datetimes to NumPy when
      dtype_backend="pyarrow" and parse_dates is set causing a
      performance bottleneck in the process (GH52546)
    * Bug in to_datetime() and to_timedelta() when trying to convert
      numeric data with a ArrowDtype (GH52425)
    * Bug in to_numeric() with errors='coerce' and
      dtype_backend='pyarrow' with ArrowDtype data (GH52588)
    * Bug in ArrowDtype.__from_arrow__() not respecting if dtype is
      explicitly given (GH52533)
    * Bug in DataFrame.describe() not respecting ArrowDtype in
      include and exclude (GH52570)
    * Bug in DataFrame.max() and related casting different Timestamp
      resolutions always to nanoseconds (GH52524)
    * Bug in Series.describe() not returning ArrowDtype with
      pyarrow.float64 type with numeric data (GH52427)
    * Bug in Series.dt.tz_localize() incorrectly localizing
      timestamps with ArrowDtype (GH52677)
    * Bug in arithmetic between np.datetime64 and np.timedelta64 NaT
      scalars with units always returning nanosecond resolution
      (GH52295)
    * Bug in logical and comparison operations between ArrowDtype and
      numpy masked types (e.g. "boolean") (GH52625)
    * Fixed bug in merge() when merging with ArrowDtype one one and a
      NumPy dtype on the other side (GH52406)
    * Fixed segfault in Series.to_numpy() with null[pyarrow] dtype
      (GH52443)
    [#]# Other
    * DataFrame created from empty dicts had columns of dtype object.
      It is now a RangeIndex (GH52404)
    * Series created from empty dicts had index of dtype object. It
      is now a RangeIndex (GH52404)
    * Implemented Series.str.split() and Series.str.rsplit() for
      ArrowDtype with pyarrow.string (GH52401)
    * Implemented most str accessor methods for ArrowDtype with
      pyarrow.string (GH52401)
    * Supplying a non-integer hashable key that tests False in
      api.types.is_scalar() now raises a KeyError for
      RangeIndex.get_loc(), like it does for Index.get_loc().
      Previously it raised an InvalidIndexError (GH52652).
  - Release to 2.0.0
    [#]# Enhancements
    * Installing optional dependencies with pip extras
    * Index can now hold numpy numeric dtypes
    * Argument dtype_backend , to return pyarrow-backed or
      numpy-backed nullable dtypes
    * Copy-on-Write improvements
    * Other enhancements, see
      https://pandas.pydata.org/pandas-docs/version/2.0.2/whatsnew/v2.0.0.html#other-enhancements
    [#]# Notable bug fixes
    * DataFrameGroupBy.cumsum() and DataFrameGroupBy.cumprod()
      overflow instead of lossy casting to float
    * DataFrameGroupBy.nth() and SeriesGroupBy.nth() now behave as
      filtrations
    [#]# Backwards incompatible API changes
    * Construction with datetime64 or timedelta64 dtype with
      unsupported resolution
    * Value counts sets the resulting name to count
    * Disallow astype conversion to non-supported
      datetime64/timedelta64 dtypes
    * UTC and fixed-offset timezones default to standard-library
      tzinfo objects
    * Empty DataFrames/Series will now default to have a RangeIndex
    * DataFrame to LaTeX has a new render engine
    * Increased minimum versions for dependencies
    * Datetimes are now parsed with a consistent format
    * Other API changes, see
      https://pandas.pydata.org/pandas-docs/version/2.0.2/whatsnew/v2.0.0.html#other-api-changes
    [#]# Deprecations
    [#]# Removal of prior version deprecations/changes
    [#]# Performance improvements
    [#]# Bug fixes
  - Drop python38 test flavor and start testing python311 which has
    been missing since.
* Mon May 08 2023 Johannes Kastl <kastl@b1-systems.de>
  - add sle15_python_module_pythons
* Wed Feb 08 2023 Arun Persaud <arun@gmx.de>
  - specfile:
    * update copyright year
    * remove pandas-pr49886-fix-numpy-deprecations.patch, implemented upstreams
  - update to version 1.5.3:
    * Fixed regressions
      + Fixed performance regression in Series.isin() when values is
      empty (GH49839)
      + Fixed regression in DataFrame.memory_usage() showing unnecessary
      FutureWarning when DataFrame is empty (GH50066)
      + Fixed regression in DataFrameGroupBy.transform() when used with
      as_index=False (GH49834)
      + Enforced reversion of color as an alias for c and size as an
      alias for s in function DataFrame.plot.scatter() (GH49732)
      + Fixed regression in SeriesGroupBy.apply() setting a name
      attribute on the result if the result was a DataFrame (GH49907)
      + Fixed performance regression in setting with the at() indexer
      (GH49771)
      + Fixed regression in the methods apply, agg, and transform when
      used with NumPy functions that informed users to supply
      numeric_only=True if the operation failed on non-numeric dtypes;
      such columns must be dropped prior to using these methods
      (GH50538)
      + Fixed regression in to_datetime() raising ValueError when
      parsing array of float containing np.nan (GH50237)
    * Bug fixes
      + Bug in the Copy-on-Write implementation losing track of views
      when indexing a DataFrame with another DataFrame (GH50630)
      + Bug in Styler.to_excel() leading to error when unrecognized
      border-style (e.g. "hair") provided to Excel writers (GH48649)
      + Bug in Series.quantile() emitting warning from NumPy when Series
      has only NA values (GH50681)
      + Bug when chaining several Styler.concat() calls, only the last
      styler was concatenated (GH49207)
      + Fixed bug when instantiating a DataFrame subclass inheriting
      from typing.Generic that triggered a UserWarning on python 3.11
      (GH49649)
      + Bug in pivot_table() with NumPy 1.24 or greater when the
      DataFrame columns has nested elements (GH50342)
      + Bug in pandas.testing.assert_series_equal() (and equivalent
      assert_ functions) when having nested data and using numpy >=
      1.25 (GH50360)
    * Other
      + Note: If you are using DataFrame.to_sql(), read_sql(),
      read_sql_table(), or read_sql_query() with SQLAlchemy 1.4.46 or
      greater, you may see a sqlalchemy.exc.RemovedIn20Warning. These
      warnings can be safely ignored for the SQLAlchemy 1.4.x releases
      as pandas works toward compatibility with SQLAlchemy 2.0.
      + Reverted deprecation (GH45324) of behavior of
      Series.__getitem__() and Series.__setitem__() slicing with an
      integer Index; this will remain positional (GH49612)
      + A FutureWarning raised when attempting to set values inplace
      with DataFrame.loc() or DataFrame.iloc() has been changed to a
      DeprecationWarning (GH48673)
* Fri Dec 23 2022 Ben Greiner <code@bnavigator.de>
  - Update to version 1.5.2
    [#]# Fixed regressions
    * Fixed regression in MultiIndex.join() for extension array
      dtypes (GH49277)
    * Fixed regression in Series.replace() raising RecursionError
      with numeric dtype and when specifying value=None (GH45725)
    * Fixed regression in arithmetic operations for DataFrame with
      MultiIndex columns with different dtypes (GH49769)
    * Fixed regression in DataFrame.plot() preventing Colormap
      instance from being passed using the colormap argument if
      Matplotlib 3.6+ is used (GH49374)
    * Fixed regression in date_range() returning an invalid set of
      periods for CustomBusinessDay frequency and start date with
      timezone (GH49441)
    * Fixed performance regression in groupby operations (GH49676)
    * Fixed regression in Timedelta constructor returning object of
      wrong type when subclassing Timedelta (GH49579)
    [#]# Bug fixes
    * Bug in the Copy-on-Write implementation losing track of views
      in certain chained indexing cases (GH48996)
    * Fixed memory leak in Styler.to_excel() (GH49751)
    [#]# Other
    * Reverted color as an alias for c and size as an alias for s in
      function DataFrame.plot.scatter() (GH49732)
  - Add pandas-pr49886-fix-numpy-deprecations.patch
    * gh#pandas-dev/pandas#49887
  - Move to PEP518 build
* Sat Oct 22 2022 Arun Persaud <arun@gmx.de>
  - update to version 1.5.1:
    * Fixed regressions
      + Fixed Regression in Series.__setitem__() casting None to NaN for
      object dtype (GH48665)
      + Fixed Regression in DataFrame.loc() when setting values as a
      DataFrame with all True indexer (GH48701)
      + Regression in read_csv() causing an EmptyDataError when using an
      UTF-8 file handle that was already read from (GH48646)
      + Regression in to_datetime() when utc=True and arg contained
      timezone naive and aware arguments raised a ValueError (GH48678)
      + Fixed regression in DataFrame.loc() raising FutureWarning when
      setting an empty DataFrame (GH48480)
      + Fixed regression in DataFrame.describe() raising TypeError when
      result contains NA (GH48778)
      + Fixed regression in DataFrame.plot() ignoring invalid colormap
      for kind="scatter" (GH48726)
      + Fixed regression in MultiIndex.values`() resetting freq
      attribute of underlying Index object (GH49054)
      + Fixed performance regression in factorize() when na_sentinel is
      not None and sort=False (GH48620)
      + Fixed regression causing an AttributeError during warning
      emitted if the provided table name in DataFrame.to_sql() and the
      table name actually used in the database do not match (GH48733)
      + Fixed regression in to_datetime() when arg was a date string
      with nanosecond and format contained %f would raise a ValueError
      (GH48767)
      + Fixed regression in assert_frame_equal() raising for MultiIndex
      with Categorical and check_like=True (GH48975)
      + Fixed regression in DataFrame.fillna() replacing wrong values
      for datetime64[ns] dtype and inplace=True (GH48863)
      + Fixed DataFrameGroupBy.size() not returning a Series when axis=1
      (GH48738)
      + Fixed Regression in DataFrameGroupBy.apply() when user defined
      function is called on an empty dataframe (GH47985)
      + Fixed regression in DataFrame.apply() when passing non-zero axis
      via keyword argument (GH48656)
      + Fixed regression in Series.groupby() and DataFrame.groupby()
      when the grouper is a nullable data type (e.g. Int64) or a
      PyArrow-backed string array, contains null values, and
      dropna=False (GH48794)
      + Fixed performance regression in Series.isin() with mismatching
      dtypes (GH49162)
      + Fixed regression in DataFrame.to_parquet() raising when file
      name was specified as bytes (GH48944)
      + Fixed regression in ExcelWriter where the book attribute could
      no longer be set; however setting this attribute is now
      deprecated and this ability will be removed in a future version
      of pandas (GH48780)
      + Fixed regression in DataFrame.corrwith() when computing
      correlation on tied data with method="spearman" (GH48826)
    * Bug fixes
      + Bug in Series.__getitem__() not falling back to positional for
      integer keys and boolean Index (GH48653)
      + Bug in DataFrame.to_hdf() raising AssertionError with boolean
      index (GH48667)
      + Bug in assert_index_equal() for extension arrays with non
      matching NA raising ValueError (GH48608)
      + Bug in DataFrame.pivot_table() raising unexpected FutureWarning
      when setting datetime column as index (GH48683)
      + Bug in DataFrame.sort_values() emitting unnecessary
      FutureWarning when called on DataFrame with boolean sparse
      columns (GH48784)
      + Bug in arrays.ArrowExtensionArray with a comparison operator to
      an invalid object would not raise a NotImplementedError
      (GH48833)
    * Other
      + Avoid showing deprecated signatures when introspecting functions
      with warnings about arguments becoming keyword-only (GH48692)
* Mon Sep 19 2022 Arun Persaud <arun@gmx.de>
  - specfile:
    * update required versions
  - update to version 1.5.0:
    * long changelog, full version available at
      https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.5.0.html#
* Sat Sep 10 2022 Arun Persaud <arun@gmx.de>
  - specfile:
    * update required version
  - update to version 1.4.4:
    * Fixed regressions
      + Fixed regression in DataFrame.fillna() not working on a
      DataFrame with a MultiIndex (GH47649)
      + Fixed regression in taking NULL objects from a DataFrame causing
      a segmentation violation. These NULL values are created by
      numpy.empty_like() (GH46848)
      + Fixed regression in concat() materializing the Index during
      sorting even if the Index was already sorted (GH47501)
      + Fixed regression in concat() or merge() handling of all-NaN
      ExtensionArrays with custom attributes (GH47762)
      + Fixed regression in calling bitwise numpy ufuncs (for example,
      np.bitwise_and) on Index objects (GH46769)
      + Fixed regression in cut() when using a datetime64 IntervalIndex
      as bins (GH46218)
      + Fixed regression in DataFrame.select_dtypes() where
      include="number" included BooleanDtype (GH46870)
      + Fixed regression in DataFrame.loc() raising error when indexing
      with a NamedTuple (GH48124)
      + Fixed regression in DataFrame.loc() not updating the cache
      correctly after values were set (GH47867)
      + Fixed regression in DataFrame.loc() not aligning index in some
      cases when setting a DataFrame (GH47578)
      + Fixed regression in DataFrame.loc() setting a length-1 array
      like value to a single value in the DataFrame (GH46268)
      + Fixed regression when slicing with DataFrame.loc() with
      DatetimeIndex with a DateOffset object for its freq (GH46671)
      + Fixed regression in setting None or non-string value into a
      string-dtype Series using a mask (GH47628)
      + Fixed regression in updating a DataFrame column through Series
      __setitem__ (using chained assignment) not updating column
      values inplace and using too much memory (GH47172)
      + Fixed regression in DataFrame.select_dtypes() returning a view
      on the original DataFrame (GH48090)
      + Fixed regression using custom Index subclasses (for example,
      used in xarray) with reset_index() or Index.insert() (GH47071)
      + Fixed regression in intersection() when the DatetimeIndex has
      dates crossing daylight savings time (GH46702)
      + Fixed regression in merge() throwing an error when passing a
      Series with a multi-level name (GH47946)
      + Fixed regression in DataFrame.eval() creating a copy when
      updating inplace (GH47449)
      + Fixed regression where getting a row using DataFrame.iloc() with
      SparseDtype would raise (GH46406)
    * Bug fixes
      + The FutureWarning raised when passing arguments (other than
      filepath_or_buffer) as positional in read_csv() is now raised at
      the correct stacklevel (GH47385)
      + Bug in DataFrame.to_sql() when method was a callable that did
      not return an int and would raise a TypeError (GH46891)
      + Bug in DataFrameGroupBy.value_counts() where subset had no
      effect (GH46383)
      + Bug when getting values with DataFrame.loc() with a list of keys
      causing an internal inconsistency that could lead to a
      disconnect between frame.at[x, y] vs frame[y].loc[x] (GH22372)
      + Bug in the Series.dt.strftime() accessor return a float instead
      of object dtype Series for all-NaT input, which also causes a
      spurious deprecation warning (GH45858)
    * Other
      + The minimum version of Cython needed to compile pandas is now
      0.29.32 (GH47978)
* Sat Jul 09 2022 Arun Persaud <arun@gmx.de>
  - update to version 1.4.3:
    * Behavior of concat with empty or all-NA DataFrame columns
      The behavior change in version 1.4.0 to stop ignoring the data
      type of empty or all-NA columns with float or object dtype in
      concat() (Ignoring dtypes in concat with empty or all-NA columns)
      has been reverted (GH45637).
    * Fixed regressions
      + Fixed regression in DataFrame.replace() when the replacement value
      was explicitly None when passed in a dictionary to to_replace also
      casting other columns to object dtype even when there were no
      values to replace (GH46634)
      + Fixed regression in DataFrame.to_csv() raising error when
      DataFrame contains extension dtype categorical column (GH46297,
      GH46812)
      + Fixed regression in representation of dtypes attribute of
      MultiIndex (GH46900)
      + Fixed regression when setting values with DataFrame.loc() updating
      RangeIndex when index was set as new column and column was updated
      afterwards (GH47128)
      + Fixed regression in DataFrame.fillna() and DataFrame.update()
      creating a copy when updating inplace (GH47188)
      + Fixed regression in DataFrame.nsmallest() led to wrong results
      when the sorting column has np.nan values (GH46589)
      + Fixed regression in read_fwf() raising ValueError when widths was
      specified with usecols (GH46580)
      + Fixed regression in concat() not sorting columns for mixed column
      names (GH47127)
      + Fixed regression in Groupby.transform() and Groupby.agg() failing
      with engine="numba" when the index was a MultiIndex (GH46867)
      + Fixed regression in NaN comparison for Index operations where the
      same object was compared (GH47105)
      + Fixed regression is Styler.to_latex() and Styler.to_html() where
      buf failed in combination with encoding (GH47053)
      + Fixed regression in read_csv() with index_col=False identifying
      first row as index names when header=None (GH46955)
      + Fixed regression in DataFrameGroupBy.agg() when used with
      list-likes or dict-likes and axis=1 that would give incorrect
      results; now raises NotImplementedError (GH46995)
      + Fixed regression in DataFrame.resample() and DataFrame.rolling()
      when used with list-likes or dict-likes and axis=1 that would
      raise an unintuitive error message; now raises NotImplementedError
      (GH46904)
      + Fixed regression in testing.assert_index_equal() when
      check_order=False and Index has extension or object dtype
      (GH47207)
      + Fixed regression in read_excel() returning ints as floats on
      certain input sheets (GH46988)
      + Fixed regression in DataFrame.shift() when axis is columns and
      fill_value is absent, freq is ignored (GH47039)
      + Fixed regression in DataFrame.to_json() causing a segmentation
      violation when DataFrame is created with an index parameter of the
      type PeriodIndex (GH46683)
    * Bug fixes
      + Bug in pandas.eval(), DataFrame.eval() and DataFrame.query()
      where passing empty local_dict or global_dict was treated as
      passing None (GH47084)
      + Most I/O methods no longer suppress OSError and ValueError when
      closing file handles (GH47136)
    * Other
      + The minimum version of Cython needed to compile pandas is now
      0.29.30 (GH41935)
* Tue Apr 05 2022 Ben Greiner <code@bnavigator.de>
  - Update to version 1.4.2
    * Fixed regression in DataFrame.drop() and Series.drop() when
      Index had extension dtype and duplicates (GH45860)
    * Fixed regression in read_csv() killing python process when
      invalid file input was given for engine="c" (GH45957)
    * Fixed memory performance regression in Series.fillna() when
      called on a DataFrame column with inplace=True (GH46149)
    * Provided an alternative solution for passing custom Excel
      formats in Styler.to_excel(), which was a regression based on
      stricter CSS validation. Examples available in the
      documentation for Styler.format() (GH46152)
    * Fixed regression in DataFrame.replace() when a replacement
      value was also a target for replacement (GH46306)
    * Fixed regression in DataFrame.replace() when the replacement
      value was explicitly None when passed in a dictionary to
      to_replace (GH45601, GH45836)
    * Fixed regression when setting values with DataFrame.loc()
      losing MultiIndex names if DataFrame was empty before (GH46317)
    * Fixed regression when rendering boolean datatype columns with
      Styler() (GH46384)
    * Fixed regression in Groupby.rolling() with a frequency window
      that would raise a ValueError even if the datetimes within each
      group were monotonic (GH46061)
    * Fix some cases for subclasses that define their _constructor
      properties as general callables (GH46018)
    * Fixed “longtable” formatting in Styler.to_latex() when
      column_format is given in extended format (GH46037)
    * Fixed incorrect rendering in Styler.format() with
      hyperlinks="html" when the url contains a colon or other
      special characters (GH46389)
    * Improved error message in Rolling when window is a frequency
      and NaT is in the rolling axis (GH46087)
  - Copy back the installed package into the source tree
    * mimics upstreams test setup of an editable install
    * avoids conftest.py collection errors with pytest 7
* Sat Feb 12 2022 Arun Persaud <arun@gmx.de>
  - update to version 1.4.1:
    * Fixed regressions
      + Regression in Series.mask() with inplace=True and PeriodDtype
      and an incompatible other coercing to a common dtype instead of
      raising (GH45546)
      + Regression in assert_frame_equal() not respecting
      check_flags=False (GH45554)
      + Regression in DataFrame.loc() raising ValueError when indexing
      (getting values) on a MultiIndex with one level (GH45779)
      + Regression in Series.fillna() with downcast=False incorrectly
      downcasting object dtype (GH45603)
      + Regression in api.types.is_bool_dtype() raising an
      AttributeError when evaluating a categorical Series (GH45615)
      + Regression in DataFrame.iat() setting values leading to not
      propagating correctly in subsequent lookups (GH45684)
      + Regression when setting values with DataFrame.loc() losing Index
      name if DataFrame was empty before (GH45621)
      + Regression in join() with overlapping IntervalIndex raising an
      InvalidIndexError (GH45661)
      + Regression when setting values with Series.loc() raising with
      all False indexer and Series on the right hand side (GH45778)
      + Regression in read_sql() with a DBAPI2 connection that is not an
      instance of sqlite3.Connection incorrectly requiring SQLAlchemy
      be installed (GH45660)
      + Regression in DateOffset when constructing with an integer
      argument with no keywords (e.g. pd.DateOffset(n)) would behave
      like datetime.timedelta(days=0) (GH45643, GH45890)
    * Bug fixes
      + Fixed segfault in DataFrame.to_json() when dumping tz-aware
      datetimes in Python 3.10 (GH42130)
      + Stopped emitting unnecessary FutureWarning in
      DataFrame.sort_values() with sparse columns (GH45618)
      + Fixed window aggregations in DataFrame.rolling() and
      Series.rolling() to skip over unused elements (GH45647)
      + Fixed builtin highlighters in Styler to be responsive to NA with
      nullable dtypes (GH45804)
      + Bug in apply() with axis=1 raising an erroneous ValueError
      (GH45912)
    * Other
      + Reverted performance speedup of DataFrame.corr() for
      method=pearson to fix precision regression (GH45640, GH42761)
* Tue Jan 25 2022 Ben Greiner <code@bnavigator.de>
  - Skip more tests on non-intel architectures
    boo#1167730
* Sun Jan 23 2022 Ben Greiner <code@bnavigator.de>
  - Update to version 1.4.0
    * https://pandas.pydata.org/docs/whatsnew/v1.4.0.html
    * Enhancements
    - Improved warning messages
    - Index can hold arbitrary ExtensionArrays
    - Enhancements in Styler
    - Multi-threaded CSV reading with a new CSV Engine based on
      pyarrow
    - Rank function for rolling and expanding windows
    - Groupby positional indexing
    - DataFrame.from_dict and DataFrame.to_dict have new 'tight'
      option
    * Notable bug fixes
    - Inconsistent date string parsing
    - Ignoring dtypes in concat with empty or all-NA columns
    - Null-values are no longer coerced to NaN-value in
      value_counts and mode
    - mangle_dupe_cols in read_csv no longer renames unique columns
      conflicting with target names
    - unstack and pivot_table no longer raises ValueError for
      result that would exceed int32 limit
    - groupby.apply consistent transform detection
    * API changes
    - Index.get_indexer_for() no longer accepts keyword arguments
      (other than target); in the past these would be silently
      ignored if the index was not unique (GH42310)
    - Change in the position of the min_rows argument in
      DataFrame.to_string() due to change in the docstring
      (GH44304)
    - Reduction operations for DataFrame or Series now raising a
      ValueError when None is passed for skipna (GH44178)
    - read_csv() and read_html() no longer raising an error when
      one of the header rows consists only of Unnamed: columns
      (GH13054)
    - Changed the name attribute of several holidays in
      USFederalHolidayCalendar to match official federal holiday
      names.
    * Deprecations
    - Deprecated Int64Index, UInt64Index & Float64Index
    - Deprecated Frame.append and Series.append
  - Split out test runs into separate flavors, optimize memory usage
    in pytest-xdist runs
* Tue Jan 04 2022 Ben Greiner <code@bnavigator.de>
  - Update to version 1.3.5
    * Fixed regression in Series.equals() when comparing floats with
      dtype object to None (GH44190)
    * Fixed regression in merge_asof() raising error when array was
      supplied as join key (GH42844)
    * Fixed regression when resampling DataFrame with DateTimeIndex
      with empty groups and uint8, uint16 or uint32 columns
      incorrectly raising RuntimeError (GH43329)
    * Fixed regression in creating a DataFrame from a timezone-aware
      Timestamp scalar near a Daylight Savings Time transition
      (GH42505)
    * Fixed performance regression in read_csv() (GH44106)
    * Fixed regression in Series.duplicated() and
      Series.drop_duplicates() when Series has Categorical dtype with
      boolean categories (GH44351)
    * Fixed regression in GroupBy.sum() with timedelta64[ns] dtype
      containing NaT failing to treat that value as NA (GH42659)
    * Fixed regression in RollingGroupby.cov() and
      RollingGroupby.corr() when other had the same shape as each
      group would incorrectly return superfluous groups in the result
      (GH42915)
* Wed Oct 20 2021 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Update to version 1.3.4
    * Fixed regression in DataFrame.convert_dtypes() incorrectly
      converts byte strings to strings (GH43183)
    * Fixed regression in GroupBy.agg() where it was failing
      silently with mixed data types along axis=1 and MultiIndex (GH43209)
    * Fixed regression in merge() with integer and NaN keys
      failing with outer merge (GH43550)
    * Fixed regression in DataFrame.corr() raising ValueError with
      method="spearman" on 32-bit platforms (GH43588)
    * Fixed performance regression in MultiIndex.equals() (GH43549)
    * Fixed performance regression in GroupBy.first() and GroupBy.last()
      with StringDtype (GH41596)
    * Fixed regression in Series.cat.reorder_categories() failing to
      update the categories on the Series (GH43232)
    * Fixed regression in Series.cat.categories() setter failing to
      update the categories on the Series (GH43334)
    * Fixed regression in read_csv() raising UnicodeDecodeError exception
      when memory_map=True (GH43540)
    * Fixed regression in DataFrame.explode() raising AssertionError
      when column is any scalar which is not a string (GH43314)
    * Fixed regression in Series.aggregate() attempting to pass args
      and kwargs multiple times to the user supplied func in certain cases (GH43357)
    * Fixed regression when iterating over a DataFrame.groupby.rolling
      object causing the resulting DataFrames to have an incorrect index if the input groupings were not sorted (GH43386)
    * Fixed regression in DataFrame.groupby.rolling.cov() and
      DataFrame.groupby.rolling.corr() computing incorrect results if the
      input groupings were not sorted (GH43386)
    * Fixed bug in pandas.DataFrame.groupby.rolling() and
      pandas.api.indexers.FixedForwardWindowIndexer leading to
      segfaults and window endpoints being mixed across groups (GH43267)
    * Fixed bug in GroupBy.mean() with datetimelike values
      including NaT values returning incorrect results (GH43132)
    * Fixed bug in Series.aggregate() not passing the first args
      to the user supplied func in certain cases (GH43357)
    * Fixed memory leaks in Series.rolling.quantile() and
      Series.rolling.median() (GH43339)
* Mon Sep 20 2021 Ben Greiner <code@bnavigator.de>
  - Update to version 1.3.3
    * Fixed regression in DataFrame constructor failing to broadcast
      for defined Index and len one list of Timestamp (GH42810)
    * Fixed regression in GroupBy.agg() incorrectly raising in some
      cases (GH42390)
    * Fixed regression in GroupBy.apply() where nan values were
      dropped even with dropna=False (GH43205)
    * Fixed regression in GroupBy.quantile() which was failing with
      pandas.NA (GH42849)
    * Fixed regression in merge() where on columns with
      ExtensionDtype or bool data types were cast to object in right
      and outer merge (GH40073)
    * Fixed regression in RangeIndex.where() and RangeIndex.putmask()
      raising AssertionError when result did not represent a
      RangeIndex (GH43240)
    * Fixed regression in read_parquet() where the fastparquet engine
      would not work properly with fastparquet 0.7.0 (GH43075)
    * Fixed regression in DataFrame.loc.__setitem__() raising
      ValueError when setting array as cell value (GH43422)
    * Fixed regression in is_list_like() where objects with __iter__
      set to None would be identified as iterable (GH43373)
    * Fixed regression in DataFrame.__getitem__() raising error for
      slice of DatetimeIndex when index is non monotonic (GH43223)
    * Fixed regression in Resampler.aggregate() when used after
      column selection would raise if func is a list of aggregation
      functions (GH42905)
    * Fixed regression in DataFrame.corr() where Kendall correlation
      would produce incorrect results for columns with repeated
      values (GH43401)
    * Fixed regression in DataFrame.groupby() where aggregation on
      columns with object types dropped results on those columns
      (GH42395, GH43108)
    * Fixed regression in Series.fillna() raising TypeError when
      filling float Series with list-like fill value having a dtype
      which couldn’t cast lostlessly (like float32 filled with
      float64) (GH43424)
    * Fixed regression in read_csv() raising AttributeError when the
      file handle is an tempfile.SpooledTemporaryFile object
      (GH43439)
    * Fixed performance regression in core.window.ewm.
      ExponentialMovingWindow.mean() (GH42333)
    * Performance improvement for DataFrame.__setitem__() when the
      key or value is not a DataFrame, or key is not list-like
      (GH43274)
    * Fixed bug in DataFrameGroupBy.agg() and DataFrameGroupBy.
      transform() with engine="numba" where index data was not being
      correctly passed into func (GH43133)
  - Release 1.3.2
    * Performance regression in DataFrame.isin() and Series.isin()
      for nullable data types (GH42714)
    * Regression in updating values of Series using boolean index,
      created by using DataFrame.pop() (GH42530)
    * Regression in DataFrame.from_records() with empty records
      (GH42456)
    * Fixed regression in DataFrame.shift() where TypeError occurred
      when shifting DataFrame created by concatenation of slices and
      fills with values (GH42719)
    * Regression in DataFrame.agg() when the func argument returned
      lists and axis=1 (GH42727)
    * Regression in DataFrame.drop() does nothing if MultiIndex has
      duplicates and indexer is a tuple or list of tuples (GH42771)
    * Fixed regression where read_csv() raised a ValueError when
      parameters names and prefix were both set to None (GH42387)
    * Fixed regression in comparisons between Timestamp object and
      datetime64 objects outside the implementation bounds for
      nanosecond datetime64 (GH42794)
    * Fixed regression in Styler.highlight_min() and Styler.
      highlight_max() where pandas.NA was not successfully ignored
      (GH42650)
    * Fixed regression in concat() where copy=False was not honored
      in axis=1 Series concatenation (GH42501)
    * Regression in Series.nlargest() and Series.nsmallest() with
      nullable integer or float dtype (GH42816)
    * Fixed regression in Series.quantile() with Int64Dtype (GH42626)
    * Fixed regression in Series.groupby() and DataFrame.groupby()
      where supplying the by argument with a Series named with a
      tuple would incorrectly raise (GH42731)
    * Bug in read_excel() modifies the dtypes dictionary when reading
      a file with duplicate columns (GH42462)
    * 1D slices over extension types turn into N-dimensional slices
      over ExtensionArrays (GH42430)
    * Fixed bug in Series.rolling() and DataFrame.rolling() not
      calculating window bounds correctly for the first row when
      center=True and window is an offset that covers all the rows
      (GH42753)
    * Styler.hide_columns() now hides the index name header row as
      well as column headers (GH42101)
    * Styler.set_sticky() has amended CSS to control the column/index
      names and ensure the correct sticky positions (GH42537)
    * Bug in de-serializing datetime indexes in PYTHONOPTIMIZED mode
      (GH42866)
* Tue Aug 17 2021 Fabian Vogt <fvogt@suse.com>
  - Drop suggests of python-numba (pulls in LLVM10) and python-QtPy
    (pulls in Qt3D, python-qt5 is enough) to make the TW DVD fit again
* Thu Aug 12 2021 Ben Greiner <code@bnavigator.de>
  - Update to version 1.3.1
    Fixed regressions
    * Pandas could not be built on PyPy (GH42355)
    * DataFrame constructed with an older version of pandas could not
      be unpickled (GH42345)
    * Performance regression in constructing a DataFrame from a
      dictionary of dictionaries (GH42248)
    * Fixed regression in DataFrame.agg() dropping values when the
      DataFrame had an Extension Array dtype, a duplicate index, and
      axis=1 (GH42380)
    * Fixed regression in DataFrame.astype() changing the order of
      noncontiguous data (GH42396)
    * Performance regression in DataFrame in reduction operations
      requiring casting such as DataFrame.mean() on integer data
      (GH38592)
    * Performance regression in DataFrame.to_dict() and Series.to_dict
      () when orient argument one of “records”, “dict”, or “split”
      (GH42352)
    * Fixed regression in indexing with a list subclass incorrectly
      raising TypeError (GH42433, GH42461)
    * Fixed regression in DataFrame.isin() and Series.isin() raising
      TypeError with nullable data containing at least one missing
      value (GH42405)
    * Regression in concat() between objects with bool dtype and
      integer dtype casting to object instead of to integer (GH42092)
    * Bug in Series constructor not accepting a dask.Array (GH38645)
    * Fixed regression for SettingWithCopyWarning displaying
      incorrect stacklevel (GH42570)
    * Fixed regression for merge_asof() raising KeyError when one of
      the by columns is in the index (GH34488)
    * Fixed regression in to_datetime() returning pd.NaT for inputs
      that produce duplicated values, when cache=True (GH42259)
    * Fixed regression in SeriesGroupBy.value_counts() that resulted
      in an IndexError when called on a Series with one row (GH42618)
    * Fixed bug in DataFrame.transpose() dropping values when the
      DataFrame had an Extension Array dtype and a duplicate index
      (GH42380)
    * Fixed bug in DataFrame.to_xml() raising KeyError when called
      with index=False and an offset index (GH42458)
    * Fixed bug in Styler.set_sticky() not handling index names
      correctly for single index columns case (GH42537)
    * Fixed bug in DataFrame.copy() failing to consolidate blocks in
      the result (GH42579)
* Thu Jul 22 2021 Arun Persaud <arun@gmx.de>
  - specfile:
    * update requirements
    * README.rst ->README.md
  - update to version 1.3.0:
    * long changelog, see https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.3.0.html
  - changes from version 1.2.5:
    * Fixed regression in concat() between two DataFrame where one has
      an Index that is all-None and the other is DatetimeIndex
      incorrectly raising (GH40841)
    * Fixed regression in DataFrame.sum() and DataFrame.prod() when
      min_count and numeric_only are both given (GH41074)
    * Fixed regression in read_csv() when using memory_map=True with an
      non-UTF8 encoding (GH40986)
    * Fixed regression in DataFrame.replace() and Series.replace() when
      the values to replace is a NumPy float array (GH40371)
    * Fixed regression in ExcelFile() when a corrupt file is opened but
      not closed (GH41778)
    * Fixed regression in DataFrame.astype() with dtype=str failing to
      convert NaN in categorical columns (GH41797)
  - Unpack some files required for testing
* Mon May 03 2021 Arun Persaud <arun@gmx.de>
  - update to version 1.2.4:
    * Fixed regressions
      + Fixed regression in DataFrame.sum() when min_count greater than
      the DataFrame shape was passed resulted in a ValueError
      (GH39738)
      + Fixed regression in DataFrame.to_json() raising AttributeError
      when run on PyPy (GH39837)
      + Fixed regression in (in)equality comparison of pd.NaT with a
      non-datetimelike numpy array returning a scalar instead of an
      array (GH40722)
      + Fixed regression in DataFrame.where() not returning a copy in
      the case of an all True condition (GH39595)
      + Fixed regression in DataFrame.replace() raising IndexError when
      regex was a multi-key dictionary (GH39338)
      + Fixed regression in repr of floats in an object column not
      respecting float_format when printed in the console or outputted
      through DataFrame.to_string(), DataFrame.to_html(), and
      DataFrame.to_latex() (GH40024)
      + Fixed regression in NumPy ufuncs such as np.add not passing
      through all arguments for DataFrame (GH40662)
* Wed Mar 03 2021 Arun Persaud <arun@gmx.de>
  - update to version 1.2.3:
    * Fixed regressions
      + Fixed regression in to_excel() raising KeyError when giving
      duplicate columns with columns attribute (GH39695)
      + Fixed regression in nullable integer unary ops propagating mask
      on assignment (GH39943)
      + Fixed regression in DataFrame.__setitem__() not aligning
      DataFrame on right-hand side for boolean indexer (GH39931)
      + Fixed regression in to_json() failing to use compression with
      URL-like paths that are internally opened in binary mode or with
      user-provided file objects that are opened in binary mode
      (GH39985)
      + Fixed regression in Series.sort_index() and
      DataFrame.sort_index(), which exited with an ungraceful error
      when having kwarg ascending=None passed. Passing ascending=None
      is still considered invalid, and the improved error message
      suggests a proper usage (ascending must be a boolean or a
      list-like of boolean) (GH39434)
      + Fixed regression in DataFrame.transform() and Series.transform()
      giving incorrect column labels when passed a dictionary with a
      mix of list and non-list values (GH40018)
* Sun Feb 14 2021 Ben Greiner <code@bnavigator.de>
  - Update to version 1.2.2
    * https://pandas.pydata.org/docs/whatsnew/v1.2.2.html
    * fixed regressions and bugfixes
  - Update to version 1.2.1
    * https://pandas.pydata.org/docs/whatsnew/v1.2.1.html
    * fixed regressions and bugfixes
    * Calling NumPy ufuncs on non-aligned DataFrames
    * The deprecated attributes _AXIS_NAMES and _AXIS_NUMBERS of
      DataFrame and Series will no longer show up in dir or inspect.
      getmembers calls (GH38740)
    * Bumped minimum fastparquet version to 0.4.0 to avoid
      AttributeError from numba (GH38344)
    * Bumped minimum pymysql version to 0.8.1 to avoid test failures
      (GH38344)
    * Added reference to backwards incompatible check_freq arg of
      testing.assert_frame_equal() and testing.assert_series_equal()
      in pandas 1.1.0 whats new (GH34050)
  - Update to version 1.2.0
    * https://pandas.pydata.org/docs/whatsnew/v1.2.0.html
    * WARNING:
      The xlwt package for writing old-style .xls excel files is
      no longer maintained. The xlrd package is now only for reading
      old-style .xls files.
      Previously, the default argument engine=None to read_excel()
      would result in using the xlrd engine in many cases, including
      new Excel 2007+ (.xlsx) files. If openpyxl is installed, many
      of these cases will now default to using the openpyxl engine.
      See the read_excel() documentation for more details.
      Thus, it is strongly encouraged to install openpyxl to read
      Excel 2007+ (.xlsx) files. Please do not report issues when
      using ``xlrd`` to read ``.xlsx`` files. This is no longer
      supported, switch to using openpyxl instead.
      Attempting to use the xlwt engine will raise a FutureWarning
      unless the option io.excel.xls.writer is set to "xlwt". While
      this option is now deprecated and will also raise a
      FutureWarning, it can be globally set and the warning
      suppressed. Users are recommended to write .xlsx files using
      the openpyxl engine instead.
    Enhancements
    * Optionally disallow duplicate labels
    * Passing arguments to fsspec backends
    * Support for binary file handles in to_csv
    * Support for short caption and table position in to_latex
    * Change in default floating precision for read_csv and
      read_table
    * Experimental nullable data types for float data
    * Index/column name preservation when aggregating
    * GroupBy supports EWM operations directly
    Deprecations
    * https://pandas.pydata.org/docs/whatsnew/v1.2.0.html#deprecations
  - Skip python36 build: New minimum supported Python is 3.7.1
  - Only Suggest instead of Recommend optional dependencies. Nobody
    wants to pull in all of those packages by default.
  - Remove pandas-pytest.ini
  - Rework test deselection
  - Limit to 4 pytest-xdist workers, as collection consumes a lot of
    memory

Files

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Fabrice Bellet, Tue Nov 12 00:56:02 2024