Matej Cepl
f3f936b788
- 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* WARNING: The xlwt package for writing old-style .xls excel files is no longer maintained.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 OBS-URL: https://build.opensuse.org/request/show/872216 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=56
187 lines
6.9 KiB
RPMSpec
187 lines
6.9 KiB
RPMSpec
#
|
|
# spec file for package python-pandas
|
|
#
|
|
# Copyright (c) 2021 SUSE LLC
|
|
#
|
|
# All modifications and additions to the file contributed by third parties
|
|
# remain the property of their copyright owners, unless otherwise agreed
|
|
# upon. The license for this file, and modifications and additions to the
|
|
# file, is the same license as for the pristine package itself (unless the
|
|
# license for the pristine package is not an Open Source License, in which
|
|
# case the license is the MIT License). An "Open Source License" is a
|
|
# license that conforms to the Open Source Definition (Version 1.9)
|
|
# published by the Open Source Initiative.
|
|
|
|
# Please submit bugfixes or comments via https://bugs.opensuse.org/
|
|
#
|
|
|
|
|
|
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
|
|
%define skip_python2 1
|
|
%define skip_python36 1
|
|
%global flavor @BUILD_FLAVOR@%{nil}
|
|
%if "%{flavor}" == "test"
|
|
%define psuffix -test
|
|
%bcond_without test
|
|
%else
|
|
%define psuffix %{nil}
|
|
%bcond_with test
|
|
%endif
|
|
Name: python-pandas%{psuffix}
|
|
Version: 1.2.2
|
|
Release: 0
|
|
Summary: Python data structures for data analysis, time series, and statistics
|
|
License: BSD-3-Clause
|
|
Group: Development/Libraries/Python
|
|
URL: https://pandas.pydata.org/
|
|
Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz
|
|
BuildRequires: %{python_module Cython >= 0.29.21}
|
|
BuildRequires: %{python_module Jinja2}
|
|
BuildRequires: %{python_module devel >= 3.7.1}
|
|
BuildRequires: %{python_module numpy >= 1.16.5}
|
|
BuildRequires: %{python_module numpy-devel >= 1.16.5}
|
|
BuildRequires: %{python_module python-dateutil >= 2.7.3}
|
|
BuildRequires: %{python_module pytz >= 2017.3}
|
|
BuildRequires: %{python_module setuptools >= 24.2.0}
|
|
BuildRequires: fdupes
|
|
BuildRequires: gcc-c++
|
|
BuildRequires: python-rpm-macros
|
|
Requires: python-numpy >= 1.16.5
|
|
Requires: python-python-dateutil >= 2.7.3
|
|
Requires: python-pytz >= 2017.3
|
|
Recommends: python-numexpr >= 2.6.8
|
|
Recommends: python-Bottleneck >= 1.2.1
|
|
Suggests: python-beautifulsoup4 >= 4.6.0
|
|
Suggests: python-blosc >= 1.17.0
|
|
Suggests: python-fastparquet >= 0.4.0
|
|
Suggests: python-fsspec >= 0.7.4
|
|
Suggests: python-gcsfs >= 0.6.0
|
|
Suggests: python-html5lib >= 1.0.1
|
|
Suggests: python-Jinja2 >= 2.10
|
|
Suggests: python-lxml >= 4.3.0
|
|
Suggests: python-matplotlib >= 2.2.3
|
|
Suggests: python-numba >= 0.46.0
|
|
Suggests: python-openpyxl >= 2.6.0
|
|
Suggests: python-pandas-gbq >= 0.12.0
|
|
Suggests: python-psycopg2 >= 2.7
|
|
Suggests: python-pyarrow >= 0.15.0
|
|
Suggests: python-PyMySQL >= 0.8.1
|
|
Suggests: python-pyreadstat
|
|
Suggests: python-qt5
|
|
Suggests: python-QtPy
|
|
Suggests: python-s3fs >= 0.4.0
|
|
Suggests: python-scipy >= 1.12.0
|
|
Suggests: python-SQLAlchemy >= 1.3.0
|
|
Suggests: python-tables >= 3.5.1
|
|
Suggests: python-tabulate >= 0.8.3
|
|
Suggests: python-xarray >= 0.8.2
|
|
Suggests: python-xlrd >= 1.2.0
|
|
Suggests: python-xlsb >= 1.0.6
|
|
Suggests: python-XlsxWriter >= 1.0.2
|
|
Suggests: python-zlib
|
|
Suggests: xclip
|
|
Suggests: xsel
|
|
Obsoletes: python-pandas-doc < %{version}
|
|
Provides: python-pandas-doc = %{version}
|
|
%if %{with test}
|
|
BuildRequires: %{python_module Bottleneck >= 1.2.1}
|
|
BuildRequires: %{python_module SQLAlchemy >= 1.1.4}
|
|
BuildRequires: %{python_module XlsxWriter >= 0.9.8}
|
|
BuildRequires: %{python_module beautifulsoup4 >= 4.6.0}
|
|
BuildRequires: %{python_module hypothesis}
|
|
BuildRequires: %{python_module lxml >= 4.3.0}
|
|
BuildRequires: %{python_module numexpr >= 2.6.8}
|
|
BuildRequires: %{python_module openpyxl >= 2.6.0}
|
|
BuildRequires: %{python_module pandas = %{version}}
|
|
BuildRequires: %{python_module pytest >= 5.0.1}
|
|
BuildRequires: %{python_module pytest-mock}
|
|
BuildRequires: %{python_module pytest-xdist}
|
|
BuildRequires: %{python_module xlrd >= 1.2.0}
|
|
BuildRequires: xclip
|
|
BuildRequires: xvfb-run
|
|
%endif
|
|
%python_subpackages
|
|
|
|
%description
|
|
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.
|
|
|
|
%prep
|
|
%if !%{with test}
|
|
%setup -q -n pandas-%{version}
|
|
%endif
|
|
|
|
%build
|
|
%if !%{with test}
|
|
export CFLAGS="%{optflags} -fno-strict-aliasing"
|
|
%python_build
|
|
%endif
|
|
|
|
%install
|
|
%if !%{with test}
|
|
%python_install
|
|
%{python_expand sed -i -e 's|"python", "-c",|"%{__$python}", "-c",|' %{buildroot}%{$python_sitearch}/pandas/tests/io/test_compression.py
|
|
%fdupes %{buildroot}%{$python_sitearch}
|
|
}
|
|
%endif
|
|
|
|
%check
|
|
%if %{with test}
|
|
export http_proxy=http://1.2.3.4 https_proxy=http://1.2.3.4;
|
|
export LANG=en_US.UTF-8
|
|
export LC_ALL=en_US.UTF-8
|
|
export PYTHONDONTWRITEBYTECODE=1
|
|
# Workaround for pytest-xdist flaky collection order
|
|
# https://github.com/pytest-dev/pytest/issues/920
|
|
# https://github.com/pytest-dev/pytest/issues/1075
|
|
export PYTHONHASHSEED=1
|
|
# tries to compile stuff in system sitearch
|
|
SKIP_TESTS+=" or test_oo_optimizable"
|
|
# dtypes not as expected
|
|
# https://github.com/pandas-dev/pandas/issues/39096
|
|
# https://github.com/pandas-dev/pandas/issues/36579
|
|
SKIP_TESTS+=" or (test_misc and test_memory_usage and series and empty and index)"
|
|
%ifarch %{ix86}
|
|
# overflows on i586
|
|
SKIP_TESTS+=" or test_encode_non_c_locale"
|
|
# fails on i586 (was gcc10-skip-one-test.patch)
|
|
SKIP_TESTS+=" or test_merge_on_ints_floats_warning"
|
|
%endif
|
|
if [ $(getconf LONG_BIT) -eq 32 ]; then
|
|
# https://github.com/pandas-dev/pandas/issues/31856
|
|
SKIP_TESTS+=" or test_maybe_promote_int_with_int"
|
|
# rounding error
|
|
SKIP_TESTS+=" or (test_rolling_quantile_interpolation_options and data1 and linear and 0.1)"
|
|
fi
|
|
%ifnarch x86_64
|
|
# run the slow tests only on x86_64
|
|
%define test_fast --skip-slow --skip-db
|
|
%endif
|
|
%{python_expand $python -c 'import pandas; print(pandas.__path__); print(pandas.show_versions())'
|
|
# -n 4: The test collection consumes a lot of memory per worker. Sync with constraints file
|
|
# cache: can't just say no cacheprovider, because one test checks for the --lf option of pytest-cache
|
|
# --skip-* arguments: Upstreams custom way to skip marked tests. These do not use pytest.mark.
|
|
# clipboard marker: not set up properly in build service
|
|
# need to specify test path directly instead of --pyargs pandas in order
|
|
# to find all conftest.py files https://github.com/pytest-dev/pytest/issues/1596
|
|
xvfb-run pytest-%{$python_bin_suffix} -v -n 4 \
|
|
-o cache_dir=$PWD/.pytest_cache --cache-clear \
|
|
--skip-network %{?test_fast} \
|
|
-m "not clipboard" \
|
|
-k "not (${SKIP_TESTS:4})" \
|
|
%{$python_sitearch}/pandas
|
|
}
|
|
%endif
|
|
|
|
%if !%{with test}
|
|
%files %{python_files}
|
|
%license LICENSE
|
|
%doc doc/README.rst RELEASE.md
|
|
%{python_sitearch}/pandas/
|
|
%{python_sitearch}/pandas-%{version}-py*.egg-info
|
|
%endif
|
|
|
|
%changelog
|