Accepting request 1199479 from devel:languages:python:numeric

OBS-URL: https://build.opensuse.org/request/show/1199479
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=69

_multibuild

@@ -1,5 +1,5 @@
 <multibuild>
-  <package>test-py39</package>
   <package>test-py310</package>
   <package>test-py311</package>
+  <package>test-py312</package>
 </multibuild>

_service

@@ -2,7 +2,7 @@
   <service name="tar_scm" mode="disabled">
     <param name="url">https://github.com/pandas-dev/pandas.git</param>
     <param name="scm">git</param>
-    <param name="revision">v2.1.4</param>
+    <param name="revision">v2.2.2</param>
     <param name="versionformat">@PARENT_TAG@</param>
     <param name="versionrewrite-pattern">v(.*)</param>
     <param name="filename">pandas</param>

pandas-2.2.2.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f044538e419c7d5c03434c96b1439cbd88701dcd02d6a79b08947fbb656c2f4
+size 50782448

pandas-pr58269-pyarrow16xpass.patch

@@ -0,0 +1,40 @@
+From 1828b62ee913da44ec4402642ef7baaafeb65677 Mon Sep 17 00:00:00 2001
+From: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
+Date: Mon, 15 Apr 2024 09:47:31 -1000
+Subject: [PATCH] Backport PR #58268: CI/TST: Unxfail
+ test_slice_locs_negative_step Pyarrow test
+
+---
+ pandas/tests/indexes/object/test_indexing.py | 12 +-----------
+ 1 file changed, 1 insertion(+), 11 deletions(-)
+
+diff --git a/pandas/tests/indexes/object/test_indexing.py b/pandas/tests/indexes/object/test_indexing.py
+index 443cacf94d239..ebf9dac715f8d 100644
+--- a/pandas/tests/indexes/object/test_indexing.py
++++ b/pandas/tests/indexes/object/test_indexing.py
+@@ -7,7 +7,6 @@
+     NA,
+     is_matching_na,
+ )
+-from pandas.compat import pa_version_under16p0
+ import pandas.util._test_decorators as td
+ 
+ import pandas as pd
+@@ -201,16 +200,7 @@ class TestSliceLocs:
+             (pd.IndexSlice["m":"m":-1], ""),  # type: ignore[misc]
+         ],
+     )
+-    def test_slice_locs_negative_step(self, in_slice, expected, dtype, request):
+-        if (
+-            not pa_version_under16p0
+-            and dtype == "string[pyarrow_numpy]"
+-            and in_slice == slice("a", "a", -1)
+-        ):
+-            request.applymarker(
+-                pytest.mark.xfail(reason="https://github.com/apache/arrow/issues/40642")
+-            )
+-
++    def test_slice_locs_negative_step(self, in_slice, expected, dtype):
+         index = Index(list("bcdxy"), dtype=dtype)
+ 
+         s_start, s_stop = index.slice_locs(in_slice.start, in_slice.stop, in_slice.step)

pandas-pr58484-matplotlib.patch

@@ -0,0 +1,71 @@
+From 0cab756077f5291f8d6a7fcfacaf374f62b866a0 Mon Sep 17 00:00:00 2001
+From: Elliott Sales de Andrade <quantum.analyst@gmail.com>
+Date: Mon, 29 Apr 2024 23:11:21 -0400
+Subject: [PATCH 1/2] Remove deprecated plot_date calls
+
+These were deprecated in Matplotlib 3.9.
+---
+ pandas/tests/plotting/test_datetimelike.py | 10 ++++------
+ 1 file changed, 4 insertions(+), 6 deletions(-)
+
+diff --git a/pandas/tests/plotting/test_datetimelike.py b/pandas/tests/plotting/test_datetimelike.py
+index 6b709522bab70..b91bde41bf4c4 100644
+--- a/pandas/tests/plotting/test_datetimelike.py
++++ b/pandas/tests/plotting/test_datetimelike.py
+@@ -1432,13 +1432,11 @@ def test_mpl_nopandas(self):
+         values1 = np.arange(10.0, 11.0, 0.5)
+         values2 = np.arange(11.0, 12.0, 0.5)
+ 
+-        kw = {"fmt": "-", "lw": 4}
+-
+         _, ax = mpl.pyplot.subplots()
+-        ax.plot_date([x.toordinal() for x in dates], values1, **kw)
+-        ax.plot_date([x.toordinal() for x in dates], values2, **kw)
+-
+-        line1, line2 = ax.get_lines()
++        line1, line2, = ax.plot(
++            [x.toordinal() for x in dates], values1, "-",
++            [x.toordinal() for x in dates], values2, "-",
++            linewidth=4)
+ 
+         exp = np.array([x.toordinal() for x in dates], dtype=np.float64)
+         tm.assert_numpy_array_equal(line1.get_xydata()[:, 0], exp)
+
+From 6d6574c4e71e3bab91503f85c8aa80c927785865 Mon Sep 17 00:00:00 2001
+From: "pre-commit-ci[bot]"
+ <66853113+pre-commit-ci[bot]@users.noreply.github.com>
+Date: Tue, 30 Apr 2024 16:47:26 +0000
+Subject: [PATCH 2/2] [pre-commit.ci] auto fixes from pre-commit.com hooks
+
+for more information, see https://pre-commit.ci
+---
+ pandas/tests/plotting/test_datetimelike.py | 16 ++++++++++++----
+ 1 file changed, 12 insertions(+), 4 deletions(-)
+
+diff --git a/pandas/tests/plotting/test_datetimelike.py b/pandas/tests/plotting/test_datetimelike.py
+index b91bde41bf4c4..4b4eeada58366 100644
+--- a/pandas/tests/plotting/test_datetimelike.py
++++ b/pandas/tests/plotting/test_datetimelike.py
+@@ -1433,10 +1433,18 @@ def test_mpl_nopandas(self):
+         values2 = np.arange(11.0, 12.0, 0.5)
+ 
+         _, ax = mpl.pyplot.subplots()
+-        line1, line2, = ax.plot(
+-            [x.toordinal() for x in dates], values1, "-",
+-            [x.toordinal() for x in dates], values2, "-",
+-            linewidth=4)
++        (
++            line1,
++            line2,
++        ) = ax.plot(
++            [x.toordinal() for x in dates],
++            values1,
++            "-",
++            [x.toordinal() for x in dates],
++            values2,
++            "-",
++            linewidth=4,
++        )
+ 
+         exp = np.array([x.toordinal() for x in dates], dtype=np.float64)
+         tm.assert_numpy_array_equal(line1.get_xydata()[:, 0], exp)

pandas-pr59175-matplotlib.patch

@@ -0,0 +1,29 @@
+From d4e803caf7aabd464f6fb1d43ef39903911a3cec Mon Sep 17 00:00:00 2001
+From: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
+Date: Wed, 3 Jul 2024 06:45:24 -1000
+Subject: [PATCH] Backport PR #59168: TST: Address UserWarning in matplotlib
+ test
+
+---
+ pandas/plotting/_matplotlib/core.py | 8 +++++++-
+ 1 file changed, 7 insertions(+), 1 deletion(-)
+
+diff --git a/pandas/plotting/_matplotlib/core.py b/pandas/plotting/_matplotlib/core.py
+index 2979903edf360..52382d9f7d572 100644
+--- a/pandas/plotting/_matplotlib/core.py
++++ b/pandas/plotting/_matplotlib/core.py
+@@ -893,7 +893,13 @@ def _make_legend(self) -> None:
+         elif self.subplots and self.legend:
+             for ax in self.axes:
+                 if ax.get_visible():
+-                    ax.legend(loc="best")
++                    with warnings.catch_warnings():
++                        warnings.filterwarnings(
++                            "ignore",
++                            "No artists with labels found to put in legend.",
++                            UserWarning,
++                        )
++                        ax.legend(loc="best")
+ 
+     @final
+     @staticmethod

pandas-pr59353-np2eval.patch

@@ -0,0 +1,174 @@
+diff --git a/pandas/_testing/__init__.py b/pandas/_testing/__init__.py
+index 361998db8e..87d419e2db 100644
+--- a/pandas/_testing/__init__.py
++++ b/pandas/_testing/__init__.py
+@@ -111,6 +111,7 @@ ALL_FLOAT_DTYPES: list[Dtype] = [*FLOAT_NUMPY_DTYPES, *FLOAT_EA_DTYPES]
+ 
+ COMPLEX_DTYPES: list[Dtype] = [complex, "complex64", "complex128"]
+ STRING_DTYPES: list[Dtype] = [str, "str", "U"]
++COMPLEX_FLOAT_DTYPES: list[Dtype] = [*COMPLEX_DTYPES, *FLOAT_NUMPY_DTYPES]
+ 
+ DATETIME64_DTYPES: list[Dtype] = ["datetime64[ns]", "M8[ns]"]
+ TIMEDELTA64_DTYPES: list[Dtype] = ["timedelta64[ns]", "m8[ns]"]
+diff --git a/pandas/conftest.py b/pandas/conftest.py
+index 7c35dfdde9..10134c90f8 100644
+--- a/pandas/conftest.py
++++ b/pandas/conftest.py
+@@ -1403,6 +1403,21 @@ def complex_dtype(request):
+     return request.param
+ 
+ 
++@pytest.fixture(params=tm.COMPLEX_FLOAT_DTYPES)
++def complex_or_float_dtype(request):
++    """
++    Parameterized fixture for complex and numpy float dtypes.
++
++    * complex
++    * 'complex64'
++    * 'complex128'
++    * float
++    * 'float32'
++    * 'float64'
++    """
++    return request.param
++
++
+ @pytest.fixture(params=tm.SIGNED_INT_NUMPY_DTYPES)
+ def any_signed_int_numpy_dtype(request):
+     """
+diff --git a/pandas/core/computation/expr.py b/pandas/core/computation/expr.py
+index b5861fbaeb..d642c37cea 100644
+--- a/pandas/core/computation/expr.py
++++ b/pandas/core/computation/expr.py
+@@ -31,7 +31,6 @@ from pandas.core.computation.ops import (
+     UNARY_OPS_SYMS,
+     BinOp,
+     Constant,
+-    Div,
+     FuncNode,
+     Op,
+     Term,
+@@ -370,7 +369,7 @@ class BaseExprVisitor(ast.NodeVisitor):
+         "Add",
+         "Sub",
+         "Mult",
+-        None,
++        "Div",
+         "Pow",
+         "FloorDiv",
+         "Mod",
+@@ -533,9 +532,6 @@ class BaseExprVisitor(ast.NodeVisitor):
+         left, right = self._maybe_downcast_constants(left, right)
+         return self._maybe_evaluate_binop(op, op_class, left, right)
+ 
+-    def visit_Div(self, node, **kwargs):
+-        return lambda lhs, rhs: Div(lhs, rhs)
+-
+     def visit_UnaryOp(self, node, **kwargs):
+         op = self.visit(node.op)
+         operand = self.visit(node.operand)
+diff --git a/pandas/core/computation/ops.py b/pandas/core/computation/ops.py
+index 95ac20ba39..ea8b1c0457 100644
+--- a/pandas/core/computation/ops.py
++++ b/pandas/core/computation/ops.py
+@@ -332,31 +332,6 @@ for d in (_cmp_ops_dict, _bool_ops_dict, _arith_ops_dict):
+     _binary_ops_dict.update(d)
+ 
+ 
+-def _cast_inplace(terms, acceptable_dtypes, dtype) -> None:
+-    """
+-    Cast an expression inplace.
+-
+-    Parameters
+-    ----------
+-    terms : Op
+-        The expression that should cast.
+-    acceptable_dtypes : list of acceptable numpy.dtype
+-        Will not cast if term's dtype in this list.
+-    dtype : str or numpy.dtype
+-        The dtype to cast to.
+-    """
+-    dt = np.dtype(dtype)
+-    for term in terms:
+-        if term.type in acceptable_dtypes:
+-            continue
+-
+-        try:
+-            new_value = term.value.astype(dt)
+-        except AttributeError:
+-            new_value = dt.type(term.value)
+-        term.update(new_value)
+-
+-
+ def is_term(obj) -> bool:
+     return isinstance(obj, Term)
+ 
+@@ -516,31 +491,6 @@ class BinOp(Op):
+ def isnumeric(dtype) -> bool:
+     return issubclass(np.dtype(dtype).type, np.number)
+ 
+-
+-class Div(BinOp):
+-    """
+-    Div operator to special case casting.
+-
+-    Parameters
+-    ----------
+-    lhs, rhs : Term or Op
+-        The Terms or Ops in the ``/`` expression.
+-    """
+-
+-    def __init__(self, lhs, rhs) -> None:
+-        super().__init__("/", lhs, rhs)
+-
+-        if not isnumeric(lhs.return_type) or not isnumeric(rhs.return_type):
+-            raise TypeError(
+-                f"unsupported operand type(s) for {self.op}: "
+-                f"'{lhs.return_type}' and '{rhs.return_type}'"
+-            )
+-
+-        # do not upcast float32s to float64 un-necessarily
+-        acceptable_dtypes = [np.float32, np.float64]
+-        _cast_inplace(com.flatten(self), acceptable_dtypes, np.float64)
+-
+-
+ UNARY_OPS_SYMS = ("+", "-", "~", "not")
+ _unary_ops_funcs = (operator.pos, operator.neg, operator.invert, operator.invert)
+ _unary_ops_dict = dict(zip(UNARY_OPS_SYMS, _unary_ops_funcs))
+diff --git a/pandas/tests/computation/test_eval.py b/pandas/tests/computation/test_eval.py
+index 17630f14b0..e8fad6b8cb 100644
+--- a/pandas/tests/computation/test_eval.py
++++ b/pandas/tests/computation/test_eval.py
+@@ -747,16 +747,26 @@ class TestTypeCasting:
+     @pytest.mark.parametrize("op", ["+", "-", "*", "**", "/"])
+     # maybe someday... numexpr has too many upcasting rules now
+     # chain(*(np.core.sctypes[x] for x in ['uint', 'int', 'float']))
+-    @pytest.mark.parametrize("dt", [np.float32, np.float64])
+     @pytest.mark.parametrize("left_right", [("df", "3"), ("3", "df")])
+-    def test_binop_typecasting(self, engine, parser, op, dt, left_right):
+-        df = DataFrame(np.random.default_rng(2).standard_normal((5, 3)), dtype=dt)
++    def test_binop_typecasting(
++        self, engine, parser, op, complex_or_float_dtype, left_right, request
++    ):
++        # GH#21374
++        dtype = complex_or_float_dtype
++        df = DataFrame(np.random.default_rng(2).standard_normal((5, 3)), dtype=dtype)
+         left, right = left_right
+         s = f"{left} {op} {right}"
+         res = pd.eval(s, engine=engine, parser=parser)
+-        assert df.values.dtype == dt
+-        assert res.values.dtype == dt
+-        tm.assert_frame_equal(res, eval(s))
++        if dtype == "complex64" and engine == "numexpr":
++            mark = pytest.mark.xfail(
++                reason="numexpr issue with complex that are upcast "
++                "to complex 128 "
++                "https://github.com/pydata/numexpr/issues/492"
++            )
++            request.applymarker(mark)
++        assert df.values.dtype == dtype
++        assert res.values.dtype == dtype
++        tm.assert_frame_equal(res, eval(s), check_exact=False)
+ 
+ 
+ # -------------------------------------

python-pandas.changes

@@ -1,3 +1,236 @@
+-------------------------------------------------------------------
+Sun Sep  8 10:02:47 UTC 2024 - Ben Greiner <code@bnavigator.de>
+
+- Drop pandas-pr58720-xarray-dp.patch: It does no longer xfail
+
+-------------------------------------------------------------------
+Wed Aug 28 13:53:55 UTC 2024 - Ben Greiner <code@bnavigator.de>
+
+- Skip overflowing tests on 32-bit
+
+-------------------------------------------------------------------
+Sun Aug 25 21:22:36 UTC 2024 - Ben Greiner <code@bnavigator.de>
+
+- Add pandas-pr59353-np2eval.patch
+  * gh#pandas-dev/pandas#59353
+  * gh#pandas-dev/pandas#58548
+
+-------------------------------------------------------------------
+Thu Jul 11 09:51:36 UTC 2024 - Ben Greiner <code@bnavigator.de>
+
+- Add pandas-pr59175-matplotlib.patch -- gh#pandas-dev/pandas#59175
+
+-------------------------------------------------------------------
+Sun May 12 17:57:39 UTC 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  9 23:44:42 UTC 2024 - Matej Cepl <mcepl@cepl.eu>
+
+- Skip build on Python 3.10 ... too many dependencies are missing.
+
+-------------------------------------------------------------------
+Tue Apr 30 18:08:56 UTC 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  4 20:44:10 UTC 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 20:04:59 UTC 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  6 08:59:26 UTC 2024 - Dirk Müller <dmueller@suse.com>
+
+- enable py312 testing, remove py39 testing 
+
 -------------------------------------------------------------------
 Fri Jan 12 11:18:40 UTC 2024 - pgajdos@suse.com
 

python-pandas.spec

@@ -1,5 +1,5 @@
 #
-# spec file
+# spec file for package python-pandas
 #
 # Copyright (c) 2024 SUSE LLC
 #
@@ -17,37 +17,28 @@
 
 
 %global flavor @BUILD_FLAVOR@%{nil}
-%if "%{flavor}" == "test-py39"
-%define psuffix -test-py39
-%define skip_python310 1
-%define skip_python311 1
-%define skip_python312 1
-%bcond_without test
-%endif
-%if "%{flavor}" == "test-py310"
-%define psuffix -test-py310
-%define skip_python39 1
-%define skip_python311 1
-%define skip_python312 1
-%bcond_without test
-%endif
-%if "%{flavor}" == "test-py311"
-%define psuffix -test-py311
-%define skip_python39 1
-%define skip_python310 1
-%define skip_python312 1
-%bcond_without test
-%endif
-%if "%{flavor}" == "test-py312"
-%define psuffix -test-py312
-%define skip_python39 1
-%define skip_python310 1
-%define skip_python311 1
-%bcond_without test
-%endif
+%{?sle15_python_module_pythons}
+
 %if "%{flavor}" == ""
 %define psuffix %{nil}
 %bcond_with test
+%else
+%define psuffix -%{flavor}
+%bcond_without test
+%if "%{flavor}" != "test-py310"
+%define skip_python310 1
+%endif
+%if "%{flavor}" != "test-py311"
+%define skip_python311 1
+%endif
+%if "%{flavor}" != "test-py312"
+%define skip_python312 1
+%endif
+# Skip empty buildsets, last one is for sle15_python_module_pythons
+%if "%{shrink:%{pythons}}" == "" || ("%pythons" == "python311" && 0%{?skip_python311})
+ExclusiveArch:  donotbuild
+%define python_module() %flavor-not-enabled-in-buildset-for-suse-%{?suse_version}
+%endif
 %endif
 
 # Only test the core functionality in Ring1 (Lettered Staging)
@@ -59,13 +50,18 @@
 # xlsb not available
 %bcond_with xslb
 %bcond_with consortium_standard
+%bcond_with calamine
+%bcond_with adbc
 # depend/not depend on python-pyarrow and apache-arrow [bsc#1218592]
-%bcond_without have_pyarrow
+%bcond_without pyarrow
 
-%{?sle15_python_module_pythons}
+%if %{suse_version} <= 1500
+# requires __has_builtin with keywords
+%define gccver 13
+%endif
 Name:           python-pandas%{psuffix}
 # Set version through _service
-Version:        2.1.4
+Version:        2.2.2
 Release:        0
 Summary:        Python data structures for data analysis, time series, and statistics
 License:        BSD-3-Clause
@@ -73,30 +69,45 @@ URL:            https://pandas.pydata.org/
 # SourceRepository: https://github.com/pandas-dev/pandas
 # Must be created by cloning through `osc service runall`: gh#pandas-dev/pandas#54903, gh#pandas-dev/pandas#54907
 Source0:        pandas-%{version}.tar.gz
-BuildRequires:  %{python_module Cython >= 0.29.33 with %python-Cython < 3}
+# PATCH-FIX-UPSTREAM pandas-pr58269-pyarrow16xpass.patch -- gh#pandas-dev/pandas#58269
+Patch0:         pandas-pr58269-pyarrow16xpass.patch
+# PATCH-FIX-UPSTREAM pandas-pr58484-matplotlib.patch -- gh#pandas-dev/pandas#58484 mcepl@suse.com, make pandas compatible with the modern matplotlib
+Patch2:         pandas-pr58484-matplotlib.patch
+# PATCH-FIX-UPSTREAM pandas-pr59175-matplotlib.patch -- gh#pandas-dev/pandas#59175
+Patch3:         https://github.com/pandas-dev/pandas/pull/59175.patch#/pandas-pr59175-matplotlib.patch
+# PATCH-FIX-UPSTREAM pandas-pr59353-np2eval.patch -- gh#pandas-dev/pandas#59144 backported to 2.2, no new tests, see gh#pandas-dev/pandas#58548, gh#pandas-dev/pandas#59353
+Patch4:         pandas-pr59353-np2eval.patch
+%if !%{with test}
+BuildRequires:  %{python_module Cython >= 3.0.5}
 BuildRequires:  %{python_module devel >= 3.9}
 BuildRequires:  %{python_module meson-python >= 0.13.1}
-BuildRequires:  %{python_module numpy-devel >= 1.23.2 if %python-base < 3.12 else %python-numpy-devel >= 1.26}
+BuildRequires:  %{python_module numpy-devel >= 1.26}
 BuildRequires:  %{python_module pip}
 BuildRequires:  %{python_module versioneer-toml}
 BuildRequires:  %{python_module wheel}
 BuildRequires:  fdupes
-BuildRequires:  gcc-c++
+BuildRequires:  gcc%{?gccver}-c++
 BuildRequires:  git-core
 BuildRequires:  meson >= 1.2.1
+%endif
 BuildRequires:  python-rpm-macros
 Requires:       python-python-dateutil >= 2.8.2
 Requires:       python-pytz >= 2020.1
 Requires:       timezone >= 2022a
 Obsoletes:      python-pandas-doc < %{version}
 Provides:       python-pandas-doc = %{version}
-%if 0%{python_version_nodots} < 312
+%if 0%{python_version_nodots} < 311
+Requires:       python-numpy >= 1.22.4
+%else
+%if 0%{python_version_nodots} == 311
 Requires:       python-numpy >= 1.23.2
 %else
 Requires:       python-numpy >= 1.26
 %endif
+%endif
 # SECTION extras
 Recommends:     python-pandas-performance
+Recommends:     python-pandas-pyarrow
 Suggests:       python-pandas-all
 Suggests:       python-pandas-clipboard
 Suggests:       python-pandas-compression
@@ -113,10 +124,10 @@ Suggests:       python-pandas-spss
 Suggests:       python-pandas-sql-other
 Suggests:       python-pandas-test
 Suggests:       python-pandas-xml
-%{?_with_aws:Suggests: python-pandas-aws}
-%{?_with_gcp:Suggests: python-pandas-gcp}
-%{?_with_have_pyarrow:Suggests: python-pandas-parquet}
-%{?_with_have_pyarrow:Suggests: python-pandas-feather}
+%{?with_aws:Suggests:          python-pandas-aws}
+%{?with_gcp:Suggests:          python-pandas-gcp}
+%{?with_pyarrow:Suggests: python-pandas-parquet}
+%{?with_pyarrow:Suggests: python-pandas-feather}
 # /SECTION
 %if %{with test}
 # required for sqlite3 tests
@@ -133,27 +144,24 @@ BuildRequires:  %{python_module pandas-clipboard = %{version}}
 BuildRequires:  %{python_module pandas-compression = %{version}}
 BuildRequires:  %{python_module pandas-computation = %{version}}
 BuildRequires:  %{python_module pandas-excel = %{version}}
-%if %{with have_pyarrow}
-BuildRequires:  %{python_module pandas-feather = %{version}}
-%endif
+%{?with_pyarrow:BuildRequires:  %{python_module pandas-feather = %{version}}}
 BuildRequires:  %{python_module pandas-fss = %{version}}
 BuildRequires:  %{python_module pandas-hdf5 = %{version}}
 BuildRequires:  %{python_module pandas-html = %{version}}
 BuildRequires:  %{python_module pandas-mysql = %{version}}
 BuildRequires:  %{python_module pandas-output_formatting = %{version}}
-%if %{with have_pyarrow}
-BuildRequires:  %{python_module pandas-parquet = %{version}}
-%endif
+%{?with_pyarrow:BuildRequires:  %{python_module pandas-parquet = %{version}}}
 BuildRequires:  %{python_module pandas-performance = %{version}}
 BuildRequires:  %{python_module pandas-plot = %{version}}
 BuildRequires:  %{python_module pandas-postgresql = %{version}}
+%{?with_pyarrow:BuildRequires:  %{python_module pandas-pyarrow = %{version}}}
 BuildRequires:  %{python_module pandas-spss = %{version}}
 BuildRequires:  %{python_module pandas-sql-other = %{version}}
 BuildRequires:  %{python_module pandas-xml = %{version}}
 BuildRequires:  xclip
-%{?_with_aws:BuildRequires:  %{python_module pandas-aws = %{version}}}
-%{?_with_gcp:BuildRequires:  %{python_module pandas-gcp = %{version}}}
-%{?_with_consortium_standard:BuildRequires:  %{python_module pandas-consortium-standard = %{version}}}
+%{?with_aws:BuildRequires:                  %{python_module pandas-aws = %{version}}}
+%{?with_gcp:BuildRequires:                  %{python_module pandas-gcp = %{version}}}
+%{?with_consortium_standard:BuildRequires:  %{python_module pandas-consortium-standard = %{version}}}
 %endif
 %endif
 %python_subpackages
@@ -169,18 +177,26 @@ Summary:        The python pandas[test] extra
 Requires:       python-hypothesis >= 6.46.1
 Requires:       python-pandas = %{version}
 Requires:       python-pytest >= 7.3.2
-Requires:       python-pytest-asyncio >= 0.17.0
 Requires:       python-pytest-xdist >= 2.2.0
 BuildArch:      noarch
 
 %description test
 This package provides the [test] extra for python-pandas
 
+%package pyarrow
+Summary:        The python pandas[pyarrow] extra
+Requires:       python-pandas = %{version}
+Requires:       python-pyarrow >= 10.0.1
+BuildArch:      noarch
+
+%description pyarrow
+This package provides the [pyarrow] extra for python-pandas
+
 %package performance
 Summary:        The python pandas[performance] extra
-Requires:       python-Bottleneck >= 1.3.4
-Requires:       python-numba >= 0.55.2
-Requires:       python-numexpr >= 2.8.0
+Requires:       python-Bottleneck >= 1.3.6
+Requires:       python-numba >= 0.56.4
+Requires:       python-numexpr >= 2.8.4
 Requires:       python-pandas = %{version}
 BuildArch:      noarch
 
@@ -193,8 +209,8 @@ provide speed improvements, especially when working with large data sets.
 %package computation
 Summary:        The python pandas[computation] extra
 Requires:       python-pandas = %{version}
-Requires:       python-scipy >= 1.8.1
-Requires:       python-xarray >= 2022.03
+Requires:       python-scipy >= 1.10.0
+Requires:       python-xarray >= 2022.12.0
 BuildArch:      noarch
 
 %description computation
@@ -202,7 +218,7 @@ This package provides the [computation] extra for python-pandas
 
 %package fss
 Summary:        The python pandas[fss] extra
-Requires:       python-fsspec >= 2022.05
+Requires:       python-fsspec >= 2022.11
 Requires:       python-pandas = %{version}
 BuildArch:      noarch
 
@@ -212,7 +228,7 @@ This package provides the [fss] extra for python-pandas
 %package aws
 Summary:        The python pandas[aws] extra
 Requires:       python-pandas = %{version}
-Requires:       python-s3fs >= 2022.05.0
+Requires:       python-s3fs >= 2022.11
 BuildArch:      noarch
 
 %description aws
@@ -220,9 +236,9 @@ This package provides the [aws] extra for python-pandas
 
 %package gcp
 Summary:        The python pandas[gcp] extra
-Requires:       python-gcsfs >= 2022.05.0
+Requires:       python-gcsfs >= 2022.11
 Requires:       python-pandas = %{version}
-Requires:       python-pandas-gbq >= 0.17.5
+Requires:       python-pandas-gbq >= 0.19.0
 BuildArch:      noarch
 
 %description gcp
@@ -231,21 +247,22 @@ This package provides the [gcp] extra for python-pandas
 %package excel
 Summary:        The python pandas[excel] extra
 Requires:       python-odfpy >= 1.4.1
-Requires:       python-openpyxl >= 3.0.10
+Requires:       python-openpyxl >= 3.1.0
 Requires:       python-pandas = %{version}
-%{?_with_xlsb:Requires: python-pyxlsb >= 1.0.9}
-Requires:       python-XlsxWriter >= 3.0.3
+%{?with_xlsb:Requires: python-pyxlsb >= 1.0.10}
+Requires:       python-XlsxWriter >= 3.0.5
 Requires:       python-xlrd >= 2.0.1
+%{?with_calamine:Requires:       python-calamine >= 0.1.7}
 BuildArch:      noarch
 
 %description excel
 This package provides the [excel] extra for python-pandas.
-(Except for pyxlsb, which is not available as openSUSE rpm package)
+(Except for pyxlsb and calamine which are not available as openSUSE rpm package)
 
 %package parquet
 Summary:        The python pandas[parquet] extra
 Requires:       python-pandas = %{version}
-Requires:       python-pyarrow >= 7.0.0
+Requires:       python-pyarrow >= 10.0.1
 BuildArch:      noarch
 
 %description parquet
@@ -254,7 +271,7 @@ This package provides the [parquet] extra for python-pandas
 %package feather
 Summary:        The python pandas[feather] extra
 Requires:       python-pandas = %{version}
-Requires:       python-pyarrow >= 7.0.0
+Requires:       python-pyarrow >= 10.0.1
 BuildArch:      noarch
 
 %description feather
@@ -264,7 +281,7 @@ This package provides the [feather] extra for python-pandas
 Summary:        The python pandas[hdf5] extra
 Requires:       python-blosc
 Requires:       python-pandas = %{version}
-Requires:       python-tables >= 3.7.0
+Requires:       python-tables >= 3.8.0
 BuildArch:      noarch
 
 %description hdf5
@@ -273,7 +290,7 @@ This package provides the [hdf5] extra for python-pandas
 %package spss
 Summary:        The python pandas[spss] extra
 Requires:       python-pandas = %{version}
-Requires:       python-pyreadstat >= 1.1.5
+Requires:       python-pyreadstat >= 1.2.0
 BuildArch:      noarch
 
 %description spss
@@ -281,9 +298,10 @@ This package provides the [spss] extra for python-pandas
 
 %package postgresql
 Summary:        The python pandas[postgresql] extra
-Requires:       python-SQLAlchemy >= 1.4.36
+Requires:       python-SQLAlchemy >= 2.0.0
 Requires:       python-pandas = %{version}
-Requires:       python-psycopg2 >= 2.9.3
+Requires:       python-psycopg2 >= 2.9.6
+%{?with_adbc:Requires:       python-adbc-driver-postgresql >= 0.8}
 BuildArch:      noarch
 
 %description postgresql
@@ -292,7 +310,7 @@ This package provides the [postgresql] extra for python-pandas
 %package mysql
 Summary:        The python pandas[mysql] extra
 Requires:       python-PyMySQL >= 1.0.2
-Requires:       python-SQLAlchemy >= 1.4.36
+Requires:       python-SQLAlchemy >= 2.0.0
 Requires:       python-pandas = %{version}
 BuildArch:      noarch
 
@@ -301,7 +319,9 @@ This package provides the [mysql] extra for python-pandas
 
 %package sql-other
 Summary:        The python pandas[sql-other] extra
-Requires:       python-SQLAlchemy >= 1.4.36
+Requires:       python-SQLAlchemy >= 2.0.0
+%{?with_adbc:Requires:       python-adbc-driver-postgresql >= 0.8}
+%{?with_adbc:Requires:       python-adbc-driver-sqlite >= 0.8}
 Requires:       python-pandas = %{version}
 BuildArch:      noarch
 
@@ -310,9 +330,9 @@ This package provides the [sql-other] extra for python-pandas
 
 %package html
 Summary:        The python pandas[html] extra
-Requires:       python-beautifulsoup4 >= 4.11.1
+Requires:       python-beautifulsoup4 >= 4.11.2
 Requires:       python-html5lib >= 1.1
-Requires:       python-lxml >= 4.8.0
+Requires:       python-lxml >= 4.9.2
 Requires:       python-pandas = %{version}
 BuildArch:      noarch
 
@@ -321,7 +341,7 @@ This package provides the [html] extra for python-pandas
 
 %package xml
 Summary:        The python pandas[xml] extra
-Requires:       python-lxml >= 4.8.0
+Requires:       python-lxml >= 4.9.2
 Requires:       python-pandas = %{version}
 BuildArch:      noarch
 
@@ -330,7 +350,7 @@ This package provides the [xml] extra for python-pandas
 
 %package plot
 Summary:        The python pandas[plot] extra
-Requires:       python-matplotlib >= 3.6.1
+Requires:       python-matplotlib >= 3.6.3
 Requires:       python-pandas = %{version}
 BuildArch:      noarch
 
@@ -341,7 +361,7 @@ This package provides the [plot] extra for python-pandas
 Summary:        The python pandas[output_formatting] extra
 Requires:       python-Jinja2 >= 3.1.2
 Requires:       python-pandas = %{version}
-Requires:       python-tabulate >= 0.8.10
+Requires:       python-tabulate >= 0.9.0
 BuildArch:      noarch
 
 %description output_formatting
@@ -349,8 +369,8 @@ This package provides the [output_formatting] extra for python-pandas
 
 %package clipboard
 Summary:        The python pandas[clipboard] extra
-Requires:       python-PyQt5 >= 5.15.6
-Requires:       python-QtPy >= 2.2.0
+Requires:       python-PyQt5 >= 5.15.9
+Requires:       python-QtPy >= 2.3.0
 Requires:       python-pandas = %{version}
 BuildArch:      noarch
 
@@ -360,7 +380,7 @@ This package provides the [clipboard] extra for python-pandas
 %package compression
 Summary:        The python pandas[compression] extra
 Requires:       python-pandas = %{version}
-Requires:       python-zstandard >= 0.17.0
+Requires:       python-zstandard >= 0.19.0
 BuildArch:      noarch
 
 %description compression
@@ -377,47 +397,45 @@ This package provides the [consortium-standard] extra for python-pandas
 
 %package all
 Summary:        The python pandas[all] extra
-Requires:       python-Bottleneck >= 1.3.4
+Requires:       python-Bottleneck >= 1.3.6
 Requires:       python-Jinja2 >= 3.1.2
 Requires:       python-PyMySQL >= 1.0.2
-Requires:       python-PyQt5 >= 5.15.6
-Requires:       python-QtPy >= 2.2.0
-Requires:       python-SQLAlchemy >= 1.4.36
-Requires:       python-XlsxWriter >= 3.0.3
-Requires:       python-beautifulsoup4 >= 4.9.3
+Requires:       python-PyQt5 >= 5.15.9
+Requires:       python-QtPy >= 2.3.0
+Requires:       python-SQLAlchemy >= 2
+Requires:       python-XlsxWriter >= 3.0.5
+Requires:       python-beautifulsoup4 >= 4.11.2
+%{?with_adbc:Requires:           python-adbc-driver-postgresql >= 0.8}
+%{?with_adbc:Requires:           python-adbc-driver-sqlite >= 0.8}
 Requires:       python-blosc
-%if %{with have_pyarrow}
-Requires:       python-fastparquet >= 0.8
-%endif
-Requires:       python-fsspec >= 2022.05
-Requires:       python-gcsfs >= 2022.05
+%{?with_calamine:Requires:       python-calamine >= 0.1.7}
+%{?with_pyarrow:Requires:   python-fastparquet >= 2022.12}
+Requires:       python-fsspec >= 2022.11
+Requires:       python-gcsfs >= 2022.11
 Requires:       python-html5lib >= 1.1
 Requires:       python-hypothesis >= 6.46.1
-Requires:       python-lxml >= 4.8.0
-Requires:       python-matplotlib >= 3.6.1
-Requires:       python-numba >= 0.55.2
-Requires:       python-numexpr >= 2.8.0
+Requires:       python-lxml >= 4.9.2
+Requires:       python-matplotlib >= 3.6.3
+Requires:       python-numba >= 0.56.4
+Requires:       python-numexpr >= 2.8.4
 Requires:       python-odfpy >= 1.4.1
-Requires:       python-openpyxl >= 3.0.10
+Requires:       python-openpyxl >= 3.1.0
 Requires:       python-pandas = %{version}
-Requires:       python-psycopg2 >= 2.9.3
-%if %{with have_pyarrow}
-Requires:       python-pyarrow >= 7.0.0
-%endif
-Requires:       python-pyreadstat >= 1.1.5
+Requires:       python-psycopg2 >= 2.9.6
+%{?with_pyarrow:Requires:       python-pyarrow >= 10.0.1}
+Requires:       python-pyreadstat >= 1.2.0
 Requires:       python-pytest >= 7.3.2
-Requires:       python-pytest-asyncio >= 0.17.0
 Requires:       python-pytest-xdist >= 2.2.0
-Requires:       python-scipy >= 1.8.1
-Requires:       python-tables >= 3.7.0
-Requires:       python-tabulate >= 0.8.10
-Requires:       python-xarray >= 2022.03
+Requires:       python-scipy >= 1.10.0
+Requires:       python-tables >= 3.8.0
+Requires:       python-tabulate >= 0.9
+Requires:       python-xarray >= 2022.12
 Requires:       python-xlrd >= 2.0.1
-Requires:       python-zstandard >= 0.17.0
-%{?_with_aws:Requires:       python-s3fs >= 2022.05.0}
-%{?_with_gcp:Requires:       python-pandas-gbq >= 0.17.5}
-%{?_with_xslb:Requires:       python-pyxlsb >= 1.0.9}
-%{?_with_consortium_standard: Requires: python-dataframe-api-compat >= 0.1.7}
+Requires:       python-zstandard >= 0.19.0
+%{?with_aws:Requires:                  python-s3fs >= 2022.05.0}
+%{?with_gcp:Requires:                  python-pandas-gbq >= 0.19}
+%{?with_xslb:Requires:                 python-pyxlsb >= 1.0.10}
+%{?with_consortium_standard: Requires: python-dataframe-api-compat >= 0.1.7}
 BuildArch:      noarch
 
 %description all
@@ -430,23 +448,29 @@ because they are not available as openSUSE RPM packages:
   * pyxlsb
   * s3fs
   * dataframe-api-compat
+  * adbc-driver-postgresql
+  * adbc-driver-sqlite
+  * calamine
 
-You can install them directly through `pip3 install --user`, if needed.
+You can install them directly through `pip%{python_bin_suffix} install --user`, if needed.
 
 %prep
 # ATTENTION: unpack and generate _version_meson.py before any patches and modifications for a clean version
 %setup -q -n pandas-%{version}
 %if !%{with test}
-# any installed python3 will do (SLE15 python module pythons does note guarantee /usr/bin/python3)
-firstpython3=$(find %{_bindir} -regex '.*/python3[.0-9]*' -print -quit)
-${firstpython3} generate_version.py -o _version_meson.py
-sed -i "s|'python', 'generate_version.py',|'${firstpython3}', 'generate_version.py',|" meson.build
+# use the last one from the buildset: need versioneer installed
+%python_expand genpython="%__$python"
+${genpython} generate_version.py -o _version_meson.py
+sed -i "s|'generate_version.py',|'${genpython}', 'generate_version.py',|" meson.build
 # don't require the PyPI data only tzdata package, we use the timezone RPM package
 sed -i '/dependencies = \[/,/\]/ {/tzdata.*>=/d}' pyproject.toml
 %endif
+%autopatch -p1
 
 %build
 %if !%{with test}
+%{?gccver:export CXX=g++-%{gccver}}
+%{?gccver:export CC=gcc-%{gccver}}
 export CFLAGS="%{optflags} -fno-strict-aliasing"
 %pyproject_wheel
 %endif
@@ -486,8 +510,16 @@ SKIP_MARKERS+=" or single_cpu"
 SKIP_TESTS="test_pivot_number_of_levels_larger_than_int32"
 # no locally running database server
 SKIP_TESTS+=" or psycopg2_engine or psycopg2_conn or pymysql_engine or pymysql_conn"
+SKIP_TESTS+=" or test_psycopg2_schema_support"
+SKIP_TESTS+=" or test_self_join_date_columns"
 # expects a dirty git revision from git repo
 SKIP_TESTS+=" or test_git_version"
+%if "%{flavor}" == "test-py312"
+# https://github.com/pandas-dev/pandas/pull/57391, proposed change is not necessarily the right one
+SKIP_TESTS+=" or (test_scalar_unary and numexpr-pandas)"
+%endif
+# Numpy2: unexpected 'np.str_(...)' in error message
+SKIP_TESTS+=" or test_group_subplot_invalid_column_name"
 
 %ifarch %{ix86} %{arm32}
 # https://github.com/pandas-dev/pandas/issues/31856
@@ -496,6 +528,14 @@ SKIP_TESTS+=" or test_maybe_promote_int_with_int"
 SKIP_TESTS+=" or (test_rolling_quantile_interpolation_options and data1 and linear and 0.1)"
 # overflow
 SKIP_TESTS+=" or test_large_string_pyarrow"
+SKIP_TESTS+=" or test_pandas_nullable_with_missing_values"
+SKIP_TESTS+=" or test_pandas_nullable_without_missing_values"
+SKIP_TESTS+=" or (test_to_datetime and TestOrigin and test_epoch)"
+SKIP_TESTS+=" or test_td_mul_numeric_ndarray_0d"
+SKIP_TESTS+=" or test_get_indexer_non_unique_wrong_dtype"
+# pyarrow read-only errors
+SKIP_TESTS+=" or test_left_join_multi_index"
+SKIP_TESTS+=" or test_join_on_single_col_dup_on_right"
 # dtype mismatch
 SKIP_TESTS+=" or test_frame_setitem_dask_array_into_new_col"
 SKIP_TESTS+=" or test_get_indexer_arrow_dictionary_target"
@@ -505,6 +545,8 @@ SKIP_TESTS+=" or numba"
 %ifarch %{ix86}
 # overflows on i586
 SKIP_TESTS+=" or test_encode_non_c_locale"
+# intp != int32 (still numpy 1)?
+SKIP_TESTS+=" or test_ensure_platform_int"
 # fails on i586 (was gcc10-skip-one-test.patch)
 SKIP_TESTS+=" or test_merge_on_ints_floats_warning"
 %endif
@@ -556,13 +598,19 @@ xvfb-run pytest-%{$python_bin_suffix} -v -n %{jobs} -rsfE --dist=loadfile \
 %doc README.md
 
 %if !%{with ringdisabled}
+%files %{python_files pyarrow}
+%license LICENSE
+%doc README.md
+
 %files %{python_files performance}
 %license LICENSE
 %doc README.md
 
+%if 0%{python_version_nodots} >= 310
 %files %{python_files computation}
 %license LICENSE
 %doc README.md
+%endif
 
 %files %{python_files fss}
 %license LICENSE
@@ -584,13 +632,13 @@ xvfb-run pytest-%{$python_bin_suffix} -v -n %{jobs} -rsfE --dist=loadfile \
 %license LICENSE
 %doc README.md
 
-%if %{with have_pyarrow}
+%if %{with pyarrow}
 %files %{python_files parquet}
 %license LICENSE
 %doc README.md
 %endif
 
-%if %{with have_pyarrow}
+%if %{with pyarrow}
 %files %{python_files feather}
 %license LICENSE
 %doc README.md