Accepting request 872216 from home:bnavigator:branches:devel:languages:python:numeric
- 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* WARNING: The xlwt package for writing old-style .xls excel files is no longer maintained.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
This commit is contained in:
Git OBS Bridge
parent
8117f721d8
commit
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@ -3,5 +3,6 @@
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<physicalmemory>
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<size unit="M">8000</size>
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</physicalmemory>
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</hardware>
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<processors>4</processors>
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</hardware>
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</constraints>
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@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:a979d0404b135c63954dea79e6246c45dd45371a88631cdbb4877d844e6de3b6
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size 5226971
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3
pandas-1.2.2.tar.gz
Normal file
3
pandas-1.2.2.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:14ed84b463e9b84c8ff9308a79b04bf591ae3122a376ee0f62c68a1bd917a773
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size 5463571
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@ -1,13 +0,0 @@
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[pytest]
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minversion = 4.0.2
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markers =
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single: mark a test as single cpu only
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slow: mark a test as slow
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network: mark a test as network
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db: tests requiring a database (mysql or postgres)
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high_memory: mark a test as a high-memory only
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clipboard: mark a pd.read_clipboard test
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filterwarnings =
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error:Sparse:FutureWarning
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error:The SparseArray:FutureWarning
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junit_family = xunit2
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@ -1,3 +1,64 @@
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-------------------------------------------------------------------
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Sun Feb 14 20:53:06 UTC 2021 - Ben Greiner <code@bnavigator.de>
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- Update to version 1.2.2
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* https://pandas.pydata.org/docs/whatsnew/v1.2.2.html
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* fixed regressions and bugfixes
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- Update to version 1.2.1
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* https://pandas.pydata.org/docs/whatsnew/v1.2.1.html
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* fixed regressions and bugfixes
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* Calling NumPy ufuncs on non-aligned DataFrames
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* The deprecated attributes _AXIS_NAMES and _AXIS_NUMBERS of
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DataFrame and Series will no longer show up in dir or inspect.
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getmembers calls (GH38740)
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* Bumped minimum fastparquet version to 0.4.0 to avoid
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AttributeError from numba (GH38344)
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* Bumped minimum pymysql version to 0.8.1 to avoid test failures
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(GH38344)
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* Added reference to backwards incompatible check_freq arg of
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testing.assert_frame_equal() and testing.assert_series_equal()
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in pandas 1.1.0 whats new (GH34050)
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- Update to version 1.2.0
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* https://pandas.pydata.org/docs/whatsnew/v1.2.0.html
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* WARNING:
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The xlwt package for writing old-style .xls excel files is
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no longer maintained. The xlrd package is now only for reading
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old-style .xls files.
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Previously, the default argument engine=None to read_excel()
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would result in using the xlrd engine in many cases, including
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new Excel 2007+ (.xlsx) files. If openpyxl is installed, many
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of these cases will now default to using the openpyxl engine.
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See the read_excel() documentation for more details.
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Thus, it is strongly encouraged to install openpyxl to read
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Excel 2007+ (.xlsx) files. Please do not report issues when
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using ``xlrd`` to read ``.xlsx`` files. This is no longer
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supported, switch to using openpyxl instead.
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Attempting to use the xlwt engine will raise a FutureWarning
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unless the option io.excel.xls.writer is set to "xlwt". While
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this option is now deprecated and will also raise a
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FutureWarning, it can be globally set and the warning
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suppressed. Users are recommended to write .xlsx files using
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the openpyxl engine instead.
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Enhancements
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* Optionally disallow duplicate labels
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* Passing arguments to fsspec backends
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* Support for binary file handles in to_csv
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* Support for short caption and table position in to_latex
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* Change in default floating precision for read_csv and
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read_table
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* Experimental nullable data types for float data
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* Index/column name preservation when aggregating
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* GroupBy supports EWM operations directly
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Deprecations
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* https://pandas.pydata.org/docs/whatsnew/v1.2.0.html#deprecations
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- Skip python36 build: New minimum supported Python is 3.7.1
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- Only Suggest instead of Recommend optional dependencies. Nobody
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wants to pull in all of those packages by default.
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- Remove pandas-pytest.ini
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- Rework test deselection
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- Limit to 4 pytest-xdist workers, as collection consumes a lot of
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memory
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-------------------------------------------------------------------
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Fri Oct 30 22:30:53 UTC 2020 - Arun Persaud <arun@gmx.de>
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@ -1,7 +1,7 @@
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#
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# spec file for package python-pandas
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#
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# Copyright (c) 2020 SUSE LLC
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# Copyright (c) 2021 SUSE LLC
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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@ -18,6 +18,7 @@
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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%define skip_python2 1
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%define skip_python36 1
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%global flavor @BUILD_FLAVOR@%{nil}
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%if "%{flavor}" == "test"
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%define psuffix -test
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@ -27,76 +28,76 @@
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%bcond_with test
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%endif
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Name: python-pandas%{psuffix}
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Version: 1.1.4
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Version: 1.2.2
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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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Source99: pandas-pytest.ini
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BuildRequires: %{python_module Cython >= 0.28.2}
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# test requirements
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BuildRequires: %{python_module Cython >= 0.29.21}
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BuildRequires: %{python_module Jinja2}
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module numpy >= 1.15.4}
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BuildRequires: %{python_module numpy-devel >= 1.15.4}
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BuildRequires: %{python_module openpyxl}
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BuildRequires: %{python_module pyperclip}
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BuildRequires: %{python_module devel >= 3.7.1}
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BuildRequires: %{python_module numpy >= 1.16.5}
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BuildRequires: %{python_module numpy-devel >= 1.16.5}
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BuildRequires: %{python_module python-dateutil >= 2.7.3}
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BuildRequires: %{python_module pytz >= 2017.3}
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BuildRequires: %{python_module setuptools >= 24.2.0}
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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-Cython >= 0.28.2
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Requires: python-numpy >= 1.15.4
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Requires: python-numpy >= 1.16.5
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Requires: python-python-dateutil >= 2.7.3
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Requires: python-pytz >= 2015.4
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Requires: python-pytz >= 2017.3
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Recommends: python-numexpr >= 2.6.8
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Recommends: python-Bottleneck >= 1.2.1
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Recommends: python-Jinja2
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Recommends: python-PyMySQL >= 0.7.11
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Recommends: python-QtPy
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Recommends: python-SQLAlchemy >= 1.1.4
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Recommends: python-XlsxWriter >= 0.9.8
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Recommends: python-beautifulsoup4 >= 4.6.0
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Recommends: python-blosc
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Recommends: python-fastparquet >= 0.2.1
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Recommends: python-gcsfs >= 0.6.0
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Recommends: python-html5lib
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Recommends: python-lxml >= 3.8.0
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Recommends: python-matplotlib >= 2.2.2
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Recommends: python-numexpr >= 2.6.2
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Recommends: python-openpyxl >= 2.4.8
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Recommends: python-pandas-gbq >= 1.2.0
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Recommends: python-psycopg2
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Recommends: python-pyarrow >= 0.9.0
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Recommends: python-pyperclip
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Recommends: python-pyreadstat
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Recommends: python-qt5
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Recommends: python-scipy >= 1.2.0
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Recommends: python-tables >= 3.4.3
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Recommends: python-xarray >= 0.8.2
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Recommends: python-xlrd >= 1.1.0
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Recommends: python-xlwt >= 1.2.0
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Recommends: python-zlib
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Recommends: xclip
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Recommends: xsel
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Suggests: python-beautifulsoup4 >= 4.6.0
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Suggests: python-blosc >= 1.17.0
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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 >= 1.0.1
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Suggests: python-Jinja2 >= 2.10
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Suggests: python-lxml >= 4.3.0
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Suggests: python-matplotlib >= 2.2.3
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Suggests: python-numba >= 0.46.0
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Suggests: python-openpyxl >= 2.6.0
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Suggests: python-pandas-gbq >= 0.12.0
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Suggests: python-psycopg2 >= 2.7
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Suggests: python-pyarrow >= 0.15.0
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Suggests: python-PyMySQL >= 0.8.1
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Suggests: python-pyreadstat
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Suggests: python-qt5
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Suggests: python-QtPy
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Suggests: python-s3fs >= 0.4.0
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Suggests: python-scipy >= 1.12.0
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Suggests: python-SQLAlchemy >= 1.3.0
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Suggests: python-tables >= 3.5.1
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Suggests: python-tabulate >= 0.8.3
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Suggests: python-xarray >= 0.8.2
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Suggests: python-xlrd >= 1.2.0
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Suggests: python-xlsb >= 1.0.6
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Suggests: python-XlsxWriter >= 1.0.2
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Suggests: python-zlib
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Suggests: xclip
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Suggests: xsel
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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 >= 1.2.1}
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BuildRequires: %{python_module SQLAlchemy >= 1.1.4}
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BuildRequires: %{python_module XlsxWriter >= 0.9.8}
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BuildRequires: %{python_module beautifulsoup4 >= 4.6.0}
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BuildRequires: %{python_module hypothesis}
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BuildRequires: %{python_module lxml >= 3.8.0}
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BuildRequires: %{python_module openpyxl >= 2.4.8}
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BuildRequires: %{python_module lxml >= 4.3.0}
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BuildRequires: %{python_module numexpr >= 2.6.8}
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BuildRequires: %{python_module openpyxl >= 2.6.0}
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BuildRequires: %{python_module pandas = %{version}}
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BuildRequires: %{python_module pytest >= 4.0.2}
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BuildRequires: %{python_module pytest >= 5.0.1}
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BuildRequires: %{python_module pytest-mock}
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BuildRequires: %{python_module pytest-xdist}
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BuildRequires: %{python_module python-dateutil >= 2.7.3}
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BuildRequires: %{python_module pytz >= 2015.4}
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BuildRequires: %{python_module xlrd >= 1.1.0}
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BuildRequires: %{python_module xlwt >= 1.2.0}
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BuildRequires: %{python_module xlrd >= 1.2.0}
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BuildRequires: xclip
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BuildRequires: xvfb-run
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%endif
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%python_subpackages
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@ -123,8 +124,6 @@ export CFLAGS="%{optflags} -fno-strict-aliasing"
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%python_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}%{$python_sitearch}
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# can be removed for pandas >= 1.1 https://github.com/pandas-dev/pandas/pull/35146
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install %{SOURCE99} %{buildroot}%{$python_sitearch}/pandas/pytest.ini
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}
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%endif
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@ -138,29 +137,39 @@ export PYTHONDONTWRITEBYTECODE=1
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# https://github.com/pytest-dev/pytest/issues/920
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# https://github.com/pytest-dev/pytest/issues/1075
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export PYTHONHASHSEED=1
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# tries to compile stuff in buildroot test_oo_optimizable
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# tries to compile stuff in system sitearch
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SKIP_TESTS+=" or test_oo_optimizable"
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# tries to import system pandas, not the freshly build on
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SKIP_TESTS+=" or test_missing_required_dependency"
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# dtypes not as expected
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# https://github.com/pandas-dev/pandas/issues/39096
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# https://github.com/pandas-dev/pandas/issues/36579
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SKIP_TESTS+=" or (test_misc and test_memory_usage and series and empty and index)"
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%ifarch %{ix86}
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# https://github.com/pandas-dev/pandas/issues/29712
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SKIP_TESTS+=" or test_raw_roundtrip"
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# overflows on i586
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SKIP_TESTS+=" or test_encode_non_c_locale"
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# fails on i586 (was gcc10-skip-one-test.patch)
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SKIP_TESTS+=" or test_merge_on_ints_floats_warning"
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%endif
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if [ $(getconf LONG_BIT) -eq 32 ]; then
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# https://github.com/pandas-dev/pandas/issues/31856
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[ $(getconf LONG_BIT) = "32" ] && SKIP_TESTS+=" or test_maybe_promote_int_with_int"
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SKIP_TESTS+=" or test_maybe_promote_int_with_int"
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# rounding error
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SKIP_TESTS+=" or (test_rolling_quantile_interpolation_options and data1 and linear and 0.1)"
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fi
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%ifnarch x86_64
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# run the slow tests only on x86_64
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%define test_fast --skip-slow --skip-db
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%endif
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%{python_expand $python -c 'import pandas; print(pandas.__path__); print(pandas.show_versions())'
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# -n 4: The test collection consumes a lot of memory per worker. Sync with constraints file
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# cache: can't just say no cacheprovider, because one test checks for the --lf option of pytest-cache
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# --skip-* arguments: Upstreams custom way to skip marked tests. These do not use pytest.mark.
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# clipboard marker: not set up properly in build service
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# need to specify test path directly instead of --pyargs pandas in order
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# to find pytest.ini and all conftest.py files
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xvfb-run pytest-%{$python_bin_suffix} -v -n auto %{?test_fast} \
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-p no:cacheprovider \
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# to find all conftest.py files https://github.com/pytest-dev/pytest/issues/1596
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xvfb-run pytest-%{$python_bin_suffix} -v -n 4 \
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-o cache_dir=$PWD/.pytest_cache --cache-clear \
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--skip-network %{?test_fast} \
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-m "not clipboard" \
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-k "not (${SKIP_TESTS:4})" \
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%{$python_sitearch}/pandas
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}
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