Accepting request 1064396 from devel:languages:python:numeric

OBS-URL: https://build.opensuse.org/request/show/1064396
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=47

pandas-1.5.2.tar.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:220b98d15cee0b2cd839a6358bd1f273d0356bf964c1a1aeb32d47db0215488b
-size 5201551

pandas-pr49886-fix-numpy-deprecations.patch

@@ -1,125 +0,0 @@
-From a0e1b0c28dfccd9a3f9e9e2794ef109e950d1a08 Mon Sep 17 00:00:00 2001
-From: Patrick Hoefler <61934744+phofl@users.noreply.github.com>
-Date: Thu, 24 Nov 2022 11:58:42 +0000
-Subject: [PATCH] Backport PR #49886: CI: Remove deprecated numpy dtype aliases
-
----
- asv_bench/benchmarks/sparse.py                | 4 ++--
- pandas/core/arrays/sparse/array.py            | 4 ++--
- pandas/core/interchange/column.py             | 2 +-
- pandas/tests/arrays/sparse/test_indexing.py   | 4 ++--
- pandas/tests/arrays/sparse/test_reductions.py | 2 +-
- pandas/tests/arrays/sparse/test_unary.py      | 4 ++--
- pandas/tests/io/excel/test_writers.py         | 9 ++++-----
- 7 files changed, 14 insertions(+), 15 deletions(-)
-
-Index: pandas-1.5.2/pandas/core/arrays/sparse/array.py
-===================================================================
---- pandas-1.5.2.orig/pandas/core/arrays/sparse/array.py
-+++ pandas-1.5.2/pandas/core/arrays/sparse/array.py
-@@ -728,7 +728,7 @@ class SparseArray(OpsMixin, PandasObject
-         dtype = SparseDtype(bool, self._null_fill_value)
-         if self._null_fill_value:
-             return type(self)._simple_new(isna(self.sp_values), self.sp_index, dtype)
--        mask = np.full(len(self), False, dtype=np.bool8)
-+        mask = np.full(len(self), False, dtype=np.bool_)
-         mask[self.sp_index.indices] = isna(self.sp_values)
-         return type(self)(mask, fill_value=False, dtype=dtype)
- 
-@@ -1043,7 +1043,7 @@ class SparseArray(OpsMixin, PandasObject
-                     if not key.fill_value:
-                         return self.take(key.sp_index.indices)
-                     n = len(self)
--                    mask = np.full(n, True, dtype=np.bool8)
-+                    mask = np.full(n, True, dtype=np.bool_)
-                     mask[key.sp_index.indices] = False
-                     return self.take(np.arange(n)[mask])
-                 else:
-Index: pandas-1.5.2/pandas/core/interchange/column.py
-===================================================================
---- pandas-1.5.2.orig/pandas/core/interchange/column.py
-+++ pandas-1.5.2/pandas/core/interchange/column.py
-@@ -315,7 +315,7 @@ class PandasColumn(Column):
-             valid = invalid == 0
-             invalid = not valid
- 
--            mask = np.zeros(shape=(len(buf),), dtype=np.bool8)
-+            mask = np.zeros(shape=(len(buf),), dtype=np.bool_)
-             for i, obj in enumerate(buf):
-                 mask[i] = valid if isinstance(obj, str) else invalid
- 
-Index: pandas-1.5.2/pandas/tests/arrays/sparse/test_indexing.py
-===================================================================
---- pandas-1.5.2.orig/pandas/tests/arrays/sparse/test_indexing.py
-+++ pandas-1.5.2/pandas/tests/arrays/sparse/test_indexing.py
-@@ -85,7 +85,7 @@ class TestGetitem:
- 
-     def test_getitem_bool_sparse_array(self):
-         # GH 23122
--        spar_bool = SparseArray([False, True] * 5, dtype=np.bool8, fill_value=True)
-+        spar_bool = SparseArray([False, True] * 5, dtype=np.bool_, fill_value=True)
-         exp = SparseArray([np.nan, 2, np.nan, 5, 6])
-         tm.assert_sp_array_equal(arr[spar_bool], exp)
- 
-@@ -95,7 +95,7 @@ class TestGetitem:
-         tm.assert_sp_array_equal(res, exp)
- 
-         spar_bool = SparseArray(
--            [False, True, np.nan] * 3, dtype=np.bool8, fill_value=np.nan
-+            [False, True, np.nan] * 3, dtype=np.bool_, fill_value=np.nan
-         )
-         res = arr[spar_bool]
-         exp = SparseArray([np.nan, 3, 5])
-Index: pandas-1.5.2/pandas/tests/arrays/sparse/test_reductions.py
-===================================================================
---- pandas-1.5.2.orig/pandas/tests/arrays/sparse/test_reductions.py
-+++ pandas-1.5.2/pandas/tests/arrays/sparse/test_reductions.py
-@@ -142,7 +142,7 @@ class TestReductions:
-             assert result == expected
- 
-     def test_bool_sum_min_count(self):
--        spar_bool = SparseArray([False, True] * 5, dtype=np.bool8, fill_value=True)
-+        spar_bool = SparseArray([False, True] * 5, dtype=np.bool_, fill_value=True)
-         res = spar_bool.sum(min_count=1)
-         assert res == 5
-         res = spar_bool.sum(min_count=11)
-Index: pandas-1.5.2/pandas/tests/arrays/sparse/test_unary.py
-===================================================================
---- pandas-1.5.2.orig/pandas/tests/arrays/sparse/test_unary.py
-+++ pandas-1.5.2/pandas/tests/arrays/sparse/test_unary.py
-@@ -59,9 +59,9 @@ class TestUnaryMethods:
-         tm.assert_sp_array_equal(exp, res)
- 
-     def test_invert_operator(self):
--        arr = SparseArray([False, True, False, True], fill_value=False, dtype=np.bool8)
-+        arr = SparseArray([False, True, False, True], fill_value=False, dtype=np.bool_)
-         exp = SparseArray(
--            np.invert([False, True, False, True]), fill_value=True, dtype=np.bool8
-+            np.invert([False, True, False, True]), fill_value=True, dtype=np.bool_
-         )
-         res = ~arr
-         tm.assert_sp_array_equal(exp, res)
-Index: pandas-1.5.2/pandas/tests/io/excel/test_writers.py
-===================================================================
---- pandas-1.5.2.orig/pandas/tests/io/excel/test_writers.py
-+++ pandas-1.5.2/pandas/tests/io/excel/test_writers.py
-@@ -496,15 +496,14 @@ class TestExcelWriter:
- 
-         tm.assert_frame_equal(df, recons)
- 
--    @pytest.mark.parametrize("np_type", [np.bool8, np.bool_])
--    def test_bool_types(self, np_type, path):
--        # Test np.bool8 and np.bool_ values read come back as float.
--        df = DataFrame([1, 0, True, False], dtype=np_type)
-+    def test_bool_types(self, path):
-+        # Test np.bool_ values read come back as float.
-+        df = DataFrame([1, 0, True, False], dtype=np.bool_)
-         df.to_excel(path, "test1")
- 
-         with ExcelFile(path) as reader:
-             recons = pd.read_excel(reader, sheet_name="test1", index_col=0).astype(
--                np_type
-+                np.bool_
-             )
- 
-         tm.assert_frame_equal(df, recons)

python-pandas.changes

@@ -1,3 +1,61 @@
+-------------------------------------------------------------------
+Wed Feb  8 18:28:19 UTC 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 16:22:18 UTC 2022 - Ben Greiner <code@bnavigator.de>
 

python-pandas.spec

@@ -1,7 +1,7 @@
 #
 # spec file
 #
-# Copyright (c) 2022 SUSE LLC
+# Copyright (c) 2023 SUSE LLC
 #
 # All modifications and additions to the file contributed by third parties
 # remain the property of their copyright owners, unless otherwise agreed
@@ -39,9 +39,8 @@
 %define psuffix %{nil}
 %bcond_with test
 %endif
-
 Name:           python-pandas%{psuffix}
-Version:        1.5.2
+Version:        1.5.3
 Release:        0
 Summary:        Python data structures for data analysis, time series, and statistics
 License:        BSD-3-Clause
@@ -49,8 +48,6 @@ Group:          Development/Libraries/Python
 URL:            https://pandas.pydata.org/
 Source0:        https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz
 # SourceRepository: https://github.com/pandas-dev/pandas
-# PATCH-FIX-UPSTREAM pandas-pr49886-fix-numpy-deprecations.patch gh#pandas-dev/pandas#49886, gh#pandas-dev/pandas#49887
-Patch1:         pandas-pr49886-fix-numpy-deprecations.patch
 BuildRequires:  %{python_module Cython >= 0.29.32}
 BuildRequires:  %{python_module devel >= 3.8}
 BuildRequires:  %{python_module numpy-devel >= 1.20.3}
@@ -63,56 +60,56 @@ BuildRequires:  python-rpm-macros
 Requires:       python-numpy >= 1.20.3
 Requires:       python-python-dateutil >= 2.8.1
 Requires:       python-pytz >= 2020.1
+Obsoletes:      python-pandas-doc < %{version}
+Provides:       python-pandas-doc = %{version}
 # SECTION Optional dependencies
 # https://pandas.pydata.org/docs/getting_started/install.html#optional-dependencies
 Recommends:     python-Bottleneck >= 1.3.2
 Recommends:     python-numexpr >= 2.7.3
+# Compression
+Suggests:       python-Brotli >= 0.7.0
+Suggests:       python-Jinja2 >= 3.0.0
+# SQL databases
+Suggests:       python-PyMySQL >= 1.0.2
+Suggests:       python-QtPy
+Suggests:       python-SQLAlchemy >= 1.4.16
+Suggests:       python-XlsxWriter >= 1.2.2
+# HTML
+Suggests:       python-beautifulsoup4 >= 4.9.3
+Suggests:       python-blosc >= 1.21.0
+Suggests:       python-fastparquet >= 0.4.0
+# Access data in the cloud
+Suggests:       python-fsspec >= 2021.7.0
+Suggests:       python-gcsfs >= 2021.7.0
+Suggests:       python-html5lib >= 1.1
+Suggests:       python-lxml >= 4.6.3
 # Visualization
 Suggests:       python-matplotlib >= 3.3.2
-Suggests:       python-Jinja2 >= 3.0.0
+Suggests:       python-numba >= 0.53.1
-Suggests:       python-tabulate >= 0.8.9
+Suggests:       python-openpyxl >= 3.0.7
+Suggests:       python-pandas-gbq >= 0.15.0
+Suggests:       python-psycopg2 >= 2.8.6
+Suggests:       python-pyarrow >= 1.0.1
+Suggests:       python-pyreadstat >= 1.1.2
+Suggests:       python-python-snappy >= 0.6.0
+Suggests:       python-pyxlb >= 1.0.8
+# Clipboard
+Suggests:       python-qt5
+Suggests:       python-s3fs >= 2021.08.0
 # Computation
 Suggests:       python-scipy >= 1.7.1
-Suggests:       python-numba >= 0.53.1
+# Other data sources
+Suggests:       python-tables >= 3.6.1
+Suggests:       python-tabulate >= 0.8.9
 Suggests:       python-xarray >= 0.19.0
 # Excel files
 Suggests:       python-xlrd >= 2.0.1
 Suggests:       python-xlwt >= 1.3.0
-Suggests:       python-XlsxWriter >= 1.2.2
-Suggests:       python-openpyxl >= 3.0.7
-Suggests:       python-pyxlb >= 1.0.8
-# HTML
-Suggests:       python-beautifulsoup4 >= 4.9.3
-Suggests:       python-html5lib >= 1.1
-Suggests:       python-lxml >= 4.6.3
-# SQL databases
-Suggests:       python-PyMySQL >= 1.0.2
-Suggests:       python-SQLAlchemy >= 1.4.16
-Suggests:       python-psycopg2 >= 2.8.6
-# Other data sources
-Suggests:       python-tables >= 3.6.1
-Suggests:       python-blosc >= 1.21.0
 Suggests:       python-zlib
-Suggests:       python-fastparquet >= 0.4.0
+Suggests:       python-zstandard >= 0.15.2
-Suggests:       python-pyarrow >= 1.0.1
-Suggests:       python-pyreadstat >= 1.1.2
-# Access data in the cloud
-Suggests:       python-fsspec >= 2021.7.0
-Suggests:       python-gcsfs >= 2021.7.0
-Suggests:       python-pandas-gbq >= 0.15.0
-Suggests:       python-s3fs >= 2021.08.0
-# Clipboard
-Suggests:       python-qt5
-Suggests:       python-QtPy
 Suggests:       xclip
 Suggests:       xsel
-# Compression
-Suggests:       python-Brotli >= 0.7.0
-Suggests:       python-python-snappy >= 0.6.0
-Suggests:       python-zstandard >= 0.15.2
 # /SECTION
-Obsoletes:      python-pandas-doc < %{version}
-Provides:       python-pandas-doc = %{version}
 %if %{with test}
 BuildRequires:  %{python_module Bottleneck >= 1.3.2}
 BuildRequires:  %{python_module Jinja2 >= 3}