forked from pool/python-pandas
Accepting request 1045082 from home:bnavigator:branches:devel:languages:python:numeric
- 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
OBS-URL: https://build.opensuse.org/request/show/1045082
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=78
This commit is contained in:
Git OBS Bridge
@@ -39,64 +39,83 @@
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%define psuffix %{nil}
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%bcond_with test
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%endif
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%{?!python_module:%define python_module() python3-%{**}}
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%define skip_python2 1
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Name: python-pandas%{psuffix}
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Version: 1.5.1
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Version: 1.5.2
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Release: 0
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Summary: Python data structures for data analysis, time series, and statistics
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License: BSD-3-Clause
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Group: Development/Libraries/Python
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URL: https://pandas.pydata.org/
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Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz
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# SourceRepository: https://github.com/pandas-dev/pandas
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# PATCH-FIX-UPSTREAM pandas-pr49886-fix-numpy-deprecations.patch gh#pandas-dev/pandas#49886, gh#pandas-dev/pandas#49887
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Patch1: pandas-pr49886-fix-numpy-deprecations.patch
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BuildRequires: %{python_module Cython >= 0.29.32}
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BuildRequires: %{python_module Jinja2 >= 3.0.0}
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BuildRequires: %{python_module devel >= 3.8}
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BuildRequires: %{python_module numpy-devel >= 1.20.3}
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BuildRequires: %{python_module python-dateutil >= 2.8.1}
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BuildRequires: %{python_module pytz >= 2020.1}
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module setuptools >= 51.0.0}
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BuildRequires: %{python_module wheel}
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BuildRequires: fdupes
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BuildRequires: gcc-c++
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BuildRequires: python-rpm-macros
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Requires: python-numpy >= 1.20.3
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Requires: python-python-dateutil >= 2.8.1
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Requires: python-pytz >= 2020.1
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# SECTION Optional dependencies
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# https://pandas.pydata.org/docs/getting_started/install.html#optional-dependencies
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Recommends: python-Bottleneck >= 1.3.2
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Recommends: python-numexpr >= 2.7.3
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Suggests: python-Jinja2 >= 3.0.0
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Suggests: python-PyMySQL >= 1.0.2
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Suggests: python-SQLAlchemy >= 1.4.16
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Suggests: python-XlsxWriter >= 1.2.2
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Suggests: python-beautifulsoup4 >= 4.9.3
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Suggests: python-blosc >= 1.21.0
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Suggests: python-fastparquet >= 0.4.0
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Suggests: python-fsspec >= 0.7.4
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Suggests: python-gcsfs >= 0.6.0
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Suggests: python-html5lib >= 1.1
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Suggests: python-lxml >= 4.6.3
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# Visualization
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Suggests: python-matplotlib >= 3.3.2
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Suggests: python-numba >= 0.53.1
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Suggests: python-openpyxl >= 3.0.7
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Suggests: python-pandas-gbq >= 0.15.0
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Suggests: python-psycopg2 >= 2.8.6
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Suggests: python-pyarrow >= 1.0.1
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Suggests: python-pyreadstat >= 1.1.2
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Suggests: python-qt5
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Suggests: python-s3fs >= 0.4.0
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Suggests: python-scipy >= 1.7.1
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Suggests: python-tables >= 3.6.1
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Suggests: python-Jinja2 >= 3.0.0
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Suggests: python-tabulate >= 0.8.9
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# Computation
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Suggests: python-scipy >= 1.7.1
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Suggests: python-numba >= 0.53.1
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Suggests: python-xarray >= 0.19.0
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# Excel files
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Suggests: python-xlrd >= 2.0.1
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Suggests: python-xlwt >= 1.3.0
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Suggests: python-XlsxWriter >= 1.2.2
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Suggests: python-openpyxl >= 3.0.7
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Suggests: python-pyxlb >= 1.0.8
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# HTML
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Suggests: python-beautifulsoup4 >= 4.9.3
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Suggests: python-html5lib >= 1.1
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Suggests: python-lxml >= 4.6.3
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# SQL databases
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Suggests: python-PyMySQL >= 1.0.2
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Suggests: python-SQLAlchemy >= 1.4.16
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Suggests: python-psycopg2 >= 2.8.6
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# Other data sources
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Suggests: python-tables >= 3.6.1
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Suggests: python-blosc >= 1.21.0
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Suggests: python-zlib
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Suggests: python-fastparquet >= 0.4.0
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Suggests: python-pyarrow >= 1.0.1
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Suggests: python-pyreadstat >= 1.1.2
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# Access data in the cloud
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Suggests: python-fsspec >= 2021.7.0
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Suggests: python-gcsfs >= 2021.7.0
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Suggests: python-pandas-gbq >= 0.15.0
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Suggests: python-s3fs >= 2021.08.0
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# Clipboard
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Suggests: python-qt5
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Suggests: python-QtPy
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Suggests: xclip
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Suggests: xsel
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# Compression
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Suggests: python-Brotli >= 0.7.0
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Suggests: python-python-snappy >= 0.6.0
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Suggests: python-zstandard >= 0.15.2
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# /SECTION
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Obsoletes: python-pandas-doc < %{version}
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Provides: python-pandas-doc = %{version}
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%if %{with test}
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BuildRequires: %{python_module Bottleneck >= 1.3.2}
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BuildRequires: %{python_module Jinja2 >= 3}
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BuildRequires: %{python_module SQLAlchemy >= 1.4.16}
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BuildRequires: %{python_module XlsxWriter >= 1.4.3}
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BuildRequires: %{python_module beautifulsoup4 >= 4.9.3}
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@@ -125,18 +144,18 @@ heterogeneous) and time series data. It is a high-level building
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block for doing data analysis in Python.
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%prep
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%setup -q -n pandas-%{version}
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%autosetup -p1 -n pandas-%{version}
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sed -i 's/--strict-data-files//' pyproject.toml
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%build
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%if !%{with test}
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export CFLAGS="%{optflags} -fno-strict-aliasing"
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%python_build
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%pyproject_wheel
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%endif
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%install
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%if !%{with test}
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%python_install
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%pyproject_install
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%{python_expand sed -i -e 's|"python", "-c",|"%{__$python}", "-c",|' %{buildroot}%{$python_sitearch}/pandas/tests/io/test_compression.py
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%fdupes %{buildroot}%{$python_sitearch}
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}
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@@ -163,6 +182,8 @@ export PYTHONHASHSEED=1
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SKIP_TESTS="(test_misc and test_memory_usage and series and empty and index)"
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# pytest-xdist worker crash
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SKIP_TESTS+=" or test_pivot_number_of_levels_larger_than_int32"
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# https://github.com/pandas-dev/pandas/pull/49777 -- removed in pandas 1.6+
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SKIP_TESTS+=" or test_constructor_signed_int_overflow_deprecation"
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# --skip-* arguments: Upstream's custom way to skip marked tests. These do not use pytest.mark.
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SKIP_ARGS="--skip-network"
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@@ -225,7 +246,7 @@ xvfb-run pytest-%{$python_bin_suffix} -v -n %{jobs} --dist=loadfile \
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%license LICENSE
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%doc README.md RELEASE.md
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%{python_sitearch}/pandas/
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%{python_sitearch}/pandas-%{version}*-info
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%{python_sitearch}/pandas-%{version}.dist-info
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%endif
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%changelog
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