Markéta Machová
1983426e6e
- 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
OBS-URL: https://build.opensuse.org/request/show/1152058
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=110
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RPMSpec
670 lines
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RPMSpec
#
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# spec file for package python-pandas
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#
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# Copyright (c) 2024 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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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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%global flavor @BUILD_FLAVOR@%{nil}
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%if "%{flavor}" == ""
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%define psuffix %{nil}
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%bcond_with test
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%else
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%define psuffix -%{flavor}
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%bcond_without test
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# globally skip testing py39
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%define skip_python39 1
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%if "%{flavor}" != "test-py310"
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%define skip_python310 1
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%endif
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%if "%{flavor}" != "test-py311"
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%define skip_python311 1
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%endif
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%if "%{flavor}" != "test-py312"
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%define skip_python312 1
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%endif
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# Skip empty buildsets, last one is for sle15_python_module_pythons
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%if "%{shrink:%{pythons}}" == "" || ("%pythons" == "python311" && 0%{?skip_python311})
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ExclusiveArch: donotbuild
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%define python_module() %flavor-not-enabled-in-buildset-for-suse-%{?suse_version}
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%endif
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%endif
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# Only test the core functionality in Ring1 (Lettered Staging)
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%bcond_with ringdisabled
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# s3fs not available
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%bcond_with aws
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# pandas-gbq not available
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%bcond_with gcp
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# xlsb not available
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%bcond_with xslb
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%bcond_with consortium_standard
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%bcond_with calamine
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%bcond_with adbc
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# depend/not depend on python-pyarrow and apache-arrow [bsc#1218592]
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%bcond_without pyarrow
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%{?sle15_python_module_pythons}
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Name: python-pandas%{psuffix}
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# Set version through _service
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Version: 2.2.1
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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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URL: https://pandas.pydata.org/
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# SourceRepository: https://github.com/pandas-dev/pandas
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# Must be created by cloning through `osc service runall`: gh#pandas-dev/pandas#54903, gh#pandas-dev/pandas#54907
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Source0: pandas-%{version}.tar.gz
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BuildRequires: %{python_module Cython >= 3.0.5}
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BuildRequires: %{python_module devel >= 3.9}
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BuildRequires: %{python_module meson-python >= 0.13.1}
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BuildRequires: %{python_module numpy-devel >= 1.23.2 if %python-base < 3.12 else %python-numpy-devel >= 1.26}
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module versioneer-toml}
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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: git-core
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BuildRequires: meson >= 1.2.1
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BuildRequires: python-rpm-macros
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Requires: python-python-dateutil >= 2.8.2
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Requires: python-pytz >= 2020.1
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Requires: timezone >= 2022a
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Obsoletes: python-pandas-doc < %{version}
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Provides: python-pandas-doc = %{version}
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%if 0%{python_version_nodots} < 312
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Requires: (python-numpy >= 1.23.2 with python-numpy < 2)
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%else
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Requires: (python-numpy >= 1.26 with python-numpy < 2)
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%endif
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# SECTION extras
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Recommends: python-pandas-performance
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Recommends: python-pandas-pyarrow
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Suggests: python-pandas-all
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Suggests: python-pandas-clipboard
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Suggests: python-pandas-compression
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Suggests: python-pandas-computation
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Suggests: python-pandas-excel
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Suggests: python-pandas-fss
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Suggests: python-pandas-hdf5
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Suggests: python-pandas-html
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Suggests: python-pandas-mysql
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Suggests: python-pandas-output_formatting
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Suggests: python-pandas-plot
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Suggests: python-pandas-postgresql
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Suggests: python-pandas-spss
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Suggests: python-pandas-sql-other
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Suggests: python-pandas-test
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Suggests: python-pandas-xml
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%{?with_aws:Suggests: python-pandas-aws}
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%{?with_gcp:Suggests: python-pandas-gcp}
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%{?with_pyarrow:Suggests: python-pandas-parquet}
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%{?with_pyarrow:Suggests: python-pandas-feather}
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# /SECTION
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%if %{with test}
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# required for sqlite3 tests
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BuildRequires: %{pythons}
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BuildRequires: %{python_module pandas-test = %{version}}
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BuildRequires: memory-constraints
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BuildRequires: xvfb-run
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%if !%{with ringdisabled}
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BuildRequires: %{python_module IPython}
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BuildRequires: %{python_module dask-array}
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BuildRequires: %{python_module dask-dataframe}
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BuildRequires: %{python_module pandas-all = %{version}}
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BuildRequires: %{python_module pandas-clipboard = %{version}}
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BuildRequires: %{python_module pandas-compression = %{version}}
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BuildRequires: %{python_module pandas-computation = %{version}}
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BuildRequires: %{python_module pandas-excel = %{version}}
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%{?with_pyarrow:BuildRequires: %{python_module pandas-feather = %{version}}}
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BuildRequires: %{python_module pandas-fss = %{version}}
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BuildRequires: %{python_module pandas-hdf5 = %{version}}
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BuildRequires: %{python_module pandas-html = %{version}}
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BuildRequires: %{python_module pandas-mysql = %{version}}
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BuildRequires: %{python_module pandas-output_formatting = %{version}}
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%{?with_pyarrow:BuildRequires: %{python_module pandas-parquet = %{version}}}
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BuildRequires: %{python_module pandas-performance = %{version}}
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BuildRequires: %{python_module pandas-plot = %{version}}
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BuildRequires: %{python_module pandas-postgresql = %{version}}
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%{?with_pyarrow:BuildRequires: %{python_module pandas-pyarrow = %{version}}}
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BuildRequires: %{python_module pandas-spss = %{version}}
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BuildRequires: %{python_module pandas-sql-other = %{version}}
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BuildRequires: %{python_module pandas-xml = %{version}}
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BuildRequires: xclip
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%{?with_aws:BuildRequires: %{python_module pandas-aws = %{version}}}
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%{?with_gcp:BuildRequires: %{python_module pandas-gcp = %{version}}}
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%{?with_consortium_standard:BuildRequires: %{python_module pandas-consortium-standard = %{version}}}
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%endif
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%endif
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%python_subpackages
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%description
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Pandas is a Python package providing data structures designed for
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working with structured (tabular, multidimensional, potentially
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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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%package test
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Summary: The python pandas[test] extra
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Requires: python-hypothesis >= 6.46.1
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Requires: python-pandas = %{version}
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Requires: python-pytest >= 7.3.2
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Requires: python-pytest-xdist >= 2.2.0
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BuildArch: noarch
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%description test
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This package provides the [test] extra for python-pandas
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%package pyarrow
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Summary: The python pandas[pyarrow] extra
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Requires: python-pandas = %{version}
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Requires: python-pyarrow >= 10.0.1
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BuildArch: noarch
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%description pyarrow
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This package provides the [pyarrow] extra for python-pandas
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%package performance
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Summary: The python pandas[performance] extra
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Requires: python-Bottleneck >= 1.3.6
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Requires: python-numba >= 0.56.4
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Requires: python-numexpr >= 2.8.4
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Requires: python-pandas = %{version}
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BuildArch: noarch
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%description performance
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This package provides the [performance] extra for python-pandas
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It is highly recommended to install this subpackage, as its dependencies
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provide speed improvements, especially when working with large data sets.
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%package computation
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Summary: The python pandas[computation] extra
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Requires: python-pandas = %{version}
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Requires: python-scipy >= 1.10.0
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Requires: python-xarray >= 2022.12.0
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BuildArch: noarch
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%description computation
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This package provides the [computation] extra for python-pandas
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%package fss
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Summary: The python pandas[fss] extra
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Requires: python-fsspec >= 2022.11
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Requires: python-pandas = %{version}
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BuildArch: noarch
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%description fss
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This package provides the [fss] extra for python-pandas
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%package aws
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Summary: The python pandas[aws] extra
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Requires: python-pandas = %{version}
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Requires: python-s3fs >= 2022.11
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BuildArch: noarch
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%description aws
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This package provides the [aws] extra for python-pandas
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%package gcp
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Summary: The python pandas[gcp] extra
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Requires: python-gcsfs >= 2022.11
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Requires: python-pandas = %{version}
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Requires: python-pandas-gbq >= 0.19.0
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BuildArch: noarch
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%description gcp
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This package provides the [gcp] extra for python-pandas
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%package excel
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Summary: The python pandas[excel] extra
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Requires: python-odfpy >= 1.4.1
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Requires: python-openpyxl >= 3.1.0
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Requires: python-pandas = %{version}
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%{?with_xlsb:Requires: python-pyxlsb >= 1.0.10}
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Requires: python-XlsxWriter >= 3.0.5
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Requires: python-xlrd >= 2.0.1
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%{?with_calamine:Requires: python-calamine >= 0.1.7}
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BuildArch: noarch
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%description excel
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This package provides the [excel] extra for python-pandas.
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(Except for pyxlsb and calamine which are not available as openSUSE rpm package)
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%package parquet
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Summary: The python pandas[parquet] extra
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Requires: python-pandas = %{version}
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Requires: python-pyarrow >= 10.0.1
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BuildArch: noarch
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%description parquet
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This package provides the [parquet] extra for python-pandas
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%package feather
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Summary: The python pandas[feather] extra
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Requires: python-pandas = %{version}
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Requires: python-pyarrow >= 10.0.1
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BuildArch: noarch
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%description feather
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This package provides the [feather] extra for python-pandas
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%package hdf5
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Summary: The python pandas[hdf5] extra
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Requires: python-blosc
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Requires: python-pandas = %{version}
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Requires: python-tables >= 3.8.0
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BuildArch: noarch
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%description hdf5
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This package provides the [hdf5] extra for python-pandas
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%package spss
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Summary: The python pandas[spss] extra
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Requires: python-pandas = %{version}
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Requires: python-pyreadstat >= 1.2.0
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BuildArch: noarch
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%description spss
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This package provides the [spss] extra for python-pandas
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%package postgresql
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Summary: The python pandas[postgresql] extra
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Requires: python-SQLAlchemy >= 2.0.0
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Requires: python-pandas = %{version}
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Requires: python-psycopg2 >= 2.9.6
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%{?with_adbc:Requires: python-adbc-driver-postgresql >= 0.8}
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BuildArch: noarch
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%description postgresql
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This package provides the [postgresql] extra for python-pandas
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%package mysql
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Summary: The python pandas[mysql] extra
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Requires: python-PyMySQL >= 1.0.2
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Requires: python-SQLAlchemy >= 2.0.0
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Requires: python-pandas = %{version}
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BuildArch: noarch
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%description mysql
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This package provides the [mysql] extra for python-pandas
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%package sql-other
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Summary: The python pandas[sql-other] extra
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Requires: python-SQLAlchemy >= 2.0.0
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%{?with_adbc:Requires: python-adbc-driver-postgresql >= 0.8}
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%{?with_adbc:Requires: python-adbc-driver-sqlite >= 0.8}
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Requires: python-pandas = %{version}
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BuildArch: noarch
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%description sql-other
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This package provides the [sql-other] extra for python-pandas
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%package html
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Summary: The python pandas[html] extra
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Requires: python-beautifulsoup4 >= 4.11.2
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Requires: python-html5lib >= 1.1
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Requires: python-lxml >= 4.9.2
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Requires: python-pandas = %{version}
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BuildArch: noarch
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%description html
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This package provides the [html] extra for python-pandas
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%package xml
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Summary: The python pandas[xml] extra
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Requires: python-lxml >= 4.9.2
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Requires: python-pandas = %{version}
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BuildArch: noarch
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%description xml
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This package provides the [xml] extra for python-pandas
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%package plot
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Summary: The python pandas[plot] extra
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Requires: python-matplotlib >= 3.6.3
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Requires: python-pandas = %{version}
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BuildArch: noarch
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%description plot
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This package provides the [plot] extra for python-pandas
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%package output_formatting
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Summary: The python pandas[output_formatting] extra
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Requires: python-Jinja2 >= 3.1.2
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Requires: python-pandas = %{version}
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Requires: python-tabulate >= 0.9.0
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BuildArch: noarch
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%description output_formatting
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This package provides the [output_formatting] extra for python-pandas
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%package clipboard
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Summary: The python pandas[clipboard] extra
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Requires: python-PyQt5 >= 5.15.9
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Requires: python-QtPy >= 2.3.0
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Requires: python-pandas = %{version}
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BuildArch: noarch
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%description clipboard
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This package provides the [clipboard] extra for python-pandas
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%package compression
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Summary: The python pandas[compression] extra
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Requires: python-pandas = %{version}
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Requires: python-zstandard >= 0.19.0
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BuildArch: noarch
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%description compression
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This package provides the [compression] extra for python-pandas
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%package consortium-standard
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Summary: The python pandas[consortium-standard] extra
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Requires: python-dataframe-api-compat >= 0.1.7
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Requires: python-pandas = %{version}
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BuildArch: noarch
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%description consortium-standard
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This package provides the [consortium-standard] extra for python-pandas
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%package all
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Summary: The python pandas[all] extra
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Requires: python-Bottleneck >= 1.3.6
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Requires: python-Jinja2 >= 3.1.2
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Requires: python-PyMySQL >= 1.0.2
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Requires: python-PyQt5 >= 5.15.9
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Requires: python-QtPy >= 2.3.0
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Requires: python-SQLAlchemy >= 2
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Requires: python-XlsxWriter >= 3.0.5
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Requires: python-beautifulsoup4 >= 4.11.2
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%{?with_adbc:Requires: python-adbc-driver-postgresql >= 0.8}
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%{?with_adbc:Requires: python-adbc-driver-sqlite >= 0.8}
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Requires: python-blosc
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%{?with_calamine:Requires: python-calamine >= 0.1.7}
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%{?with_pyarrow:Requires: python-fastparquet >= 2022.12}
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Requires: python-fsspec >= 2022.11
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Requires: python-gcsfs >= 2022.11
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Requires: python-html5lib >= 1.1
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Requires: python-hypothesis >= 6.46.1
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Requires: python-lxml >= 4.9.2
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Requires: python-matplotlib >= 3.6.3
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Requires: python-numba >= 0.56.4
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Requires: python-numexpr >= 2.8.4
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Requires: python-odfpy >= 1.4.1
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Requires: python-openpyxl >= 3.1.0
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Requires: python-pandas = %{version}
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Requires: python-psycopg2 >= 2.9.6
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%{?with_pyarrow:Requires: python-pyarrow >= 10.0.1}
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Requires: python-pyreadstat >= 1.2.0
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Requires: python-pytest >= 7.3.2
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Requires: python-pytest-xdist >= 2.2.0
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Requires: python-scipy >= 1.10.0
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Requires: python-tables >= 3.8.0
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Requires: python-tabulate >= 0.9
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Requires: python-xarray >= 2022.12
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Requires: python-xlrd >= 2.0.1
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Requires: python-zstandard >= 0.19.0
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%{?with_aws:Requires: python-s3fs >= 2022.05.0}
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%{?with_gcp:Requires: python-pandas-gbq >= 0.19}
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%{?with_xslb:Requires: python-pyxlsb >= 1.0.10}
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%{?with_consortium_standard: Requires: python-dataframe-api-compat >= 0.1.7}
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BuildArch: noarch
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%description all
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This package provides most the [all] extra for python-pandas
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Some requirements defined in the PyPI package are left out
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because they are not available as openSUSE RPM packages:
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* pandas-gbq
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* pyxlsb
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* s3fs
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* dataframe-api-compat
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* adbc-driver-postgresql
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* adbc-driver-sqlite
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* calamine
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You can install them directly through `pip%{python_bin_suffix} install --user`, if needed.
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%prep
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# ATTENTION: unpack and generate _version_meson.py before any patches and modifications for a clean version
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%setup -q -n pandas-%{version}
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%if !%{with test}
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# use the last one from the buildset: need versioneer installed
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%python_expand genpython="%__$python"
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${genpython} generate_version.py -o _version_meson.py
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sed -i "s|'generate_version.py',|'${genpython}', 'generate_version.py',|" meson.build
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# don't require the PyPI data only tzdata package, we use the timezone RPM package
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sed -i '/dependencies = \[/,/\]/ {/tzdata.*>=/d}' pyproject.toml
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%endif
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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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%pyproject_wheel
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%endif
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%install
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%if !%{with test}
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%pyproject_install
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%{python_expand #
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find %{buildroot}%{$python_sitearch}/pandas/_libs -name '*.[ch]' -delete
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sed -i -e '/.[ch],/d' %{buildroot}%{$python_sitearch}/pandas-%{version}.dist-info/RECORD
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%fdupes %{buildroot}%{$python_sitearch}
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}
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%else
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# Copy the installed package back into the source tree
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# This is equivalent to build and install editable (pip install -e .), and the only way
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# to have a passing test suite due to how the test collection works in pytest >= 7.
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# Only works for separate python flavors in multibuild.
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%python_expand cp -rf %{$python_sitearch}/pandas/* pandas/
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%endif
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%check
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%if %{with test}
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export LANG=en_US.UTF-8
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export LC_ALL=en_US.UTF-8
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export PYTHONDONTWRITEBYTECODE=1
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# Workaround for pytest-xdist flaky collection order
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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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# no network connection on obs
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SKIP_MARKERS="network"
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# clipboard not set up properly in build service without window manager
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SKIP_MARKERS+=" or clipboard"
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# skip tests which upstream marked for -n 1 only.
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SKIP_MARKERS+=" or single_cpu"
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# pytest-xdist worker crash
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SKIP_TESTS="test_pivot_number_of_levels_larger_than_int32"
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# no locally running database server
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SKIP_TESTS+=" or psycopg2_engine or psycopg2_conn or pymysql_engine or pymysql_conn"
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SKIP_TESTS+=" or test_psycopg2_schema_support"
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SKIP_TESTS+=" or test_self_join_date_columns"
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# expects a dirty git revision from git repo
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SKIP_TESTS+=" or test_git_version"
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%if "%{flavor}" == "test-py312"
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# https://github.com/pandas-dev/pandas/pull/57391, proposed change is not necessary the right one
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SKIP_TESTS+=" or (test_scalar_unary and numexpr-pandas)"
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%endif
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%ifarch %{ix86} %{arm32}
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# https://github.com/pandas-dev/pandas/issues/31856
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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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# overflow
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SKIP_TESTS+=" or test_large_string_pyarrow"
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# dtype mismatch
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SKIP_TESTS+=" or test_frame_setitem_dask_array_into_new_col"
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SKIP_TESTS+=" or test_get_indexer_arrow_dictionary_target"
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# numba formats not supported on 32-bit
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SKIP_TESTS+=" or numba"
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%endif
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%ifarch %{ix86}
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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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%ifarch ppc64 s390x
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# big endian type issues
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SKIP_TESTS+=" or test_astype"
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SKIP_TESTS+=" or test_to_numpy_string"
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SKIP_TESTS+=" or (test_construction and test_to_numpy)"
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SKIP_TESTS+=" or test_to_records_index_name"
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SKIP_TESTS+=" or test_to_records_dtype"
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SKIP_TESTS+=" or test_to_records_dict_like"
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SKIP_TESTS+=" or (test_c_parser_only and test_unsupported_dtype)"
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SKIP_TESTS+=" or test_td_mul_td64_ndarray_invalid"
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%endif
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%ifnarch x86_64
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# type and numeric precision issues, partially reported for arm and marked xfail upstream but not for e.g. ppc
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SKIP_TESTS+=" or (test_astype and test_subtype_integer_errors)"
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SKIP_TESTS+=" or (test_to_numeric and test_downcast_nullable_numeric and data12-UInt64-signed-UInt64)"
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SKIP_TESTS+=" or (test_rolling and test_rolling_var_numerical_issues)"
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SKIP_TESTS+=" or (test_groupby and test_groupby_numerical_stability_sum_mean)"
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SKIP_TESTS+=" or (test_groupby and test_groupby_numerical_stability_cumsum)"
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SKIP_TESTS+=" or (test_c_parser_only and test_float_precision_options)"
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# run the slow tests only on x86_64
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SKIP_MARKERS+=" or slow or db"
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%endif
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# The test collection consumes a lot of memory per worker. This sets %%jobs.
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%limit_build -m 3072
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%{python_expand $python -c 'import pandas; print(pandas.__path__); print(pandas.show_versions())'
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# cache: can't just say no cacheprovider, because one test checks for the --lf option of pytest-cache
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xvfb-run pytest-%{$python_bin_suffix} -v -n %{jobs} -rsfE --dist=loadfile \
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-o cache_dir=$PWD/.pytest_cache --cache-clear \
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-m "not (${SKIP_MARKERS})" \
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-k "not (${SKIP_TESTS})" \
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pandas
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}
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%endif
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%if !%{with test}
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%files %{python_files}
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%license LICENSE
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%doc README.md
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%{python_sitearch}/pandas/
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%{python_sitearch}/pandas-%{version}.dist-info
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%files %{python_files test}
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%license LICENSE
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%doc README.md
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%if !%{with ringdisabled}
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%files %{python_files pyarrow}
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%license LICENSE
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%doc README.md
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%files %{python_files performance}
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%license LICENSE
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%doc README.md
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%files %{python_files computation}
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%license LICENSE
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%doc README.md
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%files %{python_files fss}
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%license LICENSE
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%doc README.md
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%if %{with aws}
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%files %{python_files aws}
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%license LICENSE
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%doc README.md
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%endif
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%if %{with gcp}
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%files %{python_files gcp}
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%license LICENSE
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%doc README.md
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%endif
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%files %{python_files excel}
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%license LICENSE
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%doc README.md
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%if %{with pyarrow}
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%files %{python_files parquet}
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%license LICENSE
|
|
%doc README.md
|
|
%endif
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%if %{with pyarrow}
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%files %{python_files feather}
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%license LICENSE
|
|
%doc README.md
|
|
%endif
|
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%files %{python_files hdf5}
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%license LICENSE
|
|
%doc README.md
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|
%files %{python_files spss}
|
|
%license LICENSE
|
|
%doc README.md
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%files %{python_files postgresql}
|
|
%license LICENSE
|
|
%doc README.md
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|
|
%files %{python_files mysql}
|
|
%license LICENSE
|
|
%doc README.md
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|
|
%files %{python_files sql-other}
|
|
%license LICENSE
|
|
%doc README.md
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%files %{python_files html}
|
|
%license LICENSE
|
|
%doc README.md
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%files %{python_files xml}
|
|
%license LICENSE
|
|
%doc README.md
|
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%files %{python_files plot}
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|
%license LICENSE
|
|
%doc README.md
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%files %{python_files output_formatting}
|
|
%license LICENSE
|
|
%doc README.md
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%files %{python_files clipboard}
|
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%license LICENSE
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%doc README.md
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%files %{python_files compression}
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%license LICENSE
|
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%doc README.md
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%if %{with consortium_standard}
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%files %{python_files consortium-standard}
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%license LICENSE
|
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%doc README.md
|
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%endif
|
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%files %{python_files all}
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%license LICENSE
|
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%doc README.md
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%endif
|
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%endif
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%changelog
|