Accepting request 1152290 from devel:languages:python:numeric

OBS-URL: https://build.opensuse.org/request/show/1152290
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=62
This commit is contained in:
Ana Guerrero 2024-02-28 18:45:15 +00:00 committed by Git OBS Bridge
commit d5a9405122
5 changed files with 271 additions and 111 deletions

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<service name="tar_scm" mode="disabled">
<param name="url">https://github.com/pandas-dev/pandas.git</param>
<param name="scm">git</param>
<param name="revision">v2.1.4</param>
<param name="revision">v2.2.1</param>
<param name="versionformat">@PARENT_TAG@</param>
<param name="versionrewrite-pattern">v(.*)</param>
<param name="filename">pandas</param>

BIN
pandas-2.1.4.tar.gz (Stored with Git LFS)

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pandas-2.2.1.tar.gz Normal file
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@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5976687845c1b908a748264033d0f876e706fd97813ad914ac782160399cc246
size 49830028

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@ -1,3 +1,142 @@
-------------------------------------------------------------------
Fri Feb 23 20:04:59 UTC 2024 - Ben Greiner <code@bnavigator.de>
- 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
-------------------------------------------------------------------
Tue Feb 6 08:59:26 UTC 2024 - Dirk Müller <dmueller@suse.com>

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@ -17,30 +17,28 @@
%global flavor @BUILD_FLAVOR@%{nil}
%if "%{flavor}" == "test-py310"
%define psuffix -test-py310
%define skip_python39 1
%define skip_python311 1
%define skip_python312 1
%bcond_without test
%endif
%if "%{flavor}" == "test-py311"
%define psuffix -test-py311
%define skip_python39 1
%define skip_python310 1
%define skip_python312 1
%bcond_without test
%endif
%if "%{flavor}" == "test-py312"
%define psuffix -test-py312
%define skip_python39 1
%define skip_python310 1
%define skip_python311 1
%bcond_without test
%endif
%if "%{flavor}" == ""
%define psuffix %{nil}
%bcond_with test
%else
%define psuffix -%{flavor}
%bcond_without test
# globally skip testing py39
%define skip_python39 1
%if "%{flavor}" != "test-py310"
%define skip_python310 1
%endif
%if "%{flavor}" != "test-py311"
%define skip_python311 1
%endif
%if "%{flavor}" != "test-py312"
%define skip_python312 1
%endif
# Skip empty buildsets, last one is for sle15_python_module_pythons
%if "%{shrink:%{pythons}}" == "" || ("%pythons" == "python311" && 0%{?skip_python311})
ExclusiveArch: donotbuild
%define python_module() %flavor-not-enabled-in-buildset-for-suse-%{?suse_version}
%endif
%endif
# Only test the core functionality in Ring1 (Lettered Staging)
@ -52,13 +50,15 @@
# xlsb not available
%bcond_with xslb
%bcond_with consortium_standard
%bcond_with calamine
%bcond_with adbc
# depend/not depend on python-pyarrow and apache-arrow [bsc#1218592]
%bcond_without have_pyarrow
%bcond_without pyarrow
%{?sle15_python_module_pythons}
Name: python-pandas%{psuffix}
# Set version through _service
Version: 2.1.4
Version: 2.2.1
Release: 0
Summary: Python data structures for data analysis, time series, and statistics
License: BSD-3-Clause
@ -66,7 +66,7 @@ URL: https://pandas.pydata.org/
# SourceRepository: https://github.com/pandas-dev/pandas
# Must be created by cloning through `osc service runall`: gh#pandas-dev/pandas#54903, gh#pandas-dev/pandas#54907
Source0: pandas-%{version}.tar.gz
BuildRequires: %{python_module Cython >= 0.29.33 with %python-Cython < 3}
BuildRequires: %{python_module Cython >= 3.0.5}
BuildRequires: %{python_module devel >= 3.9}
BuildRequires: %{python_module meson-python >= 0.13.1}
BuildRequires: %{python_module numpy-devel >= 1.23.2 if %python-base < 3.12 else %python-numpy-devel >= 1.26}
@ -84,12 +84,13 @@ Requires: timezone >= 2022a
Obsoletes: python-pandas-doc < %{version}
Provides: python-pandas-doc = %{version}
%if 0%{python_version_nodots} < 312
Requires: python-numpy >= 1.23.2
Requires: (python-numpy >= 1.23.2 with python-numpy < 2)
%else
Requires: python-numpy >= 1.26
Requires: (python-numpy >= 1.26 with python-numpy < 2)
%endif
# SECTION extras
Recommends: python-pandas-performance
Recommends: python-pandas-pyarrow
Suggests: python-pandas-all
Suggests: python-pandas-clipboard
Suggests: python-pandas-compression
@ -106,10 +107,10 @@ Suggests: python-pandas-spss
Suggests: python-pandas-sql-other
Suggests: python-pandas-test
Suggests: python-pandas-xml
%{?_with_aws:Suggests: python-pandas-aws}
%{?_with_gcp:Suggests: python-pandas-gcp}
%{?_with_have_pyarrow:Suggests: python-pandas-parquet}
%{?_with_have_pyarrow:Suggests: python-pandas-feather}
%{?with_aws:Suggests: python-pandas-aws}
%{?with_gcp:Suggests: python-pandas-gcp}
%{?with_pyarrow:Suggests: python-pandas-parquet}
%{?with_pyarrow:Suggests: python-pandas-feather}
# /SECTION
%if %{with test}
# required for sqlite3 tests
@ -126,27 +127,24 @@ BuildRequires: %{python_module pandas-clipboard = %{version}}
BuildRequires: %{python_module pandas-compression = %{version}}
BuildRequires: %{python_module pandas-computation = %{version}}
BuildRequires: %{python_module pandas-excel = %{version}}
%if %{with have_pyarrow}
BuildRequires: %{python_module pandas-feather = %{version}}
%endif
%{?with_pyarrow:BuildRequires: %{python_module pandas-feather = %{version}}}
BuildRequires: %{python_module pandas-fss = %{version}}
BuildRequires: %{python_module pandas-hdf5 = %{version}}
BuildRequires: %{python_module pandas-html = %{version}}
BuildRequires: %{python_module pandas-mysql = %{version}}
BuildRequires: %{python_module pandas-output_formatting = %{version}}
%if %{with have_pyarrow}
BuildRequires: %{python_module pandas-parquet = %{version}}
%endif
%{?with_pyarrow:BuildRequires: %{python_module pandas-parquet = %{version}}}
BuildRequires: %{python_module pandas-performance = %{version}}
BuildRequires: %{python_module pandas-plot = %{version}}
BuildRequires: %{python_module pandas-postgresql = %{version}}
%{?with_pyarrow:BuildRequires: %{python_module pandas-pyarrow = %{version}}}
BuildRequires: %{python_module pandas-spss = %{version}}
BuildRequires: %{python_module pandas-sql-other = %{version}}
BuildRequires: %{python_module pandas-xml = %{version}}
BuildRequires: xclip
%{?_with_aws:BuildRequires: %{python_module pandas-aws = %{version}}}
%{?_with_gcp:BuildRequires: %{python_module pandas-gcp = %{version}}}
%{?_with_consortium_standard:BuildRequires: %{python_module pandas-consortium-standard = %{version}}}
%{?with_aws:BuildRequires: %{python_module pandas-aws = %{version}}}
%{?with_gcp:BuildRequires: %{python_module pandas-gcp = %{version}}}
%{?with_consortium_standard:BuildRequires: %{python_module pandas-consortium-standard = %{version}}}
%endif
%endif
%python_subpackages
@ -162,18 +160,26 @@ Summary: The python pandas[test] extra
Requires: python-hypothesis >= 6.46.1
Requires: python-pandas = %{version}
Requires: python-pytest >= 7.3.2
Requires: python-pytest-asyncio >= 0.17.0
Requires: python-pytest-xdist >= 2.2.0
BuildArch: noarch
%description test
This package provides the [test] extra for python-pandas
%package pyarrow
Summary: The python pandas[pyarrow] extra
Requires: python-pandas = %{version}
Requires: python-pyarrow >= 10.0.1
BuildArch: noarch
%description pyarrow
This package provides the [pyarrow] extra for python-pandas
%package performance
Summary: The python pandas[performance] extra
Requires: python-Bottleneck >= 1.3.4
Requires: python-numba >= 0.55.2
Requires: python-numexpr >= 2.8.0
Requires: python-Bottleneck >= 1.3.6
Requires: python-numba >= 0.56.4
Requires: python-numexpr >= 2.8.4
Requires: python-pandas = %{version}
BuildArch: noarch
@ -186,8 +192,8 @@ provide speed improvements, especially when working with large data sets.
%package computation
Summary: The python pandas[computation] extra
Requires: python-pandas = %{version}
Requires: python-scipy >= 1.8.1
Requires: python-xarray >= 2022.03
Requires: python-scipy >= 1.10.0
Requires: python-xarray >= 2022.12.0
BuildArch: noarch
%description computation
@ -195,7 +201,7 @@ This package provides the [computation] extra for python-pandas
%package fss
Summary: The python pandas[fss] extra
Requires: python-fsspec >= 2022.05
Requires: python-fsspec >= 2022.11
Requires: python-pandas = %{version}
BuildArch: noarch
@ -205,7 +211,7 @@ This package provides the [fss] extra for python-pandas
%package aws
Summary: The python pandas[aws] extra
Requires: python-pandas = %{version}
Requires: python-s3fs >= 2022.05.0
Requires: python-s3fs >= 2022.11
BuildArch: noarch
%description aws
@ -213,9 +219,9 @@ This package provides the [aws] extra for python-pandas
%package gcp
Summary: The python pandas[gcp] extra
Requires: python-gcsfs >= 2022.05.0
Requires: python-gcsfs >= 2022.11
Requires: python-pandas = %{version}
Requires: python-pandas-gbq >= 0.17.5
Requires: python-pandas-gbq >= 0.19.0
BuildArch: noarch
%description gcp
@ -224,21 +230,22 @@ This package provides the [gcp] extra for python-pandas
%package excel
Summary: The python pandas[excel] extra
Requires: python-odfpy >= 1.4.1
Requires: python-openpyxl >= 3.0.10
Requires: python-openpyxl >= 3.1.0
Requires: python-pandas = %{version}
%{?_with_xlsb:Requires: python-pyxlsb >= 1.0.9}
Requires: python-XlsxWriter >= 3.0.3
%{?with_xlsb:Requires: python-pyxlsb >= 1.0.10}
Requires: python-XlsxWriter >= 3.0.5
Requires: python-xlrd >= 2.0.1
%{?with_calamine:Requires: python-calamine >= 0.1.7}
BuildArch: noarch
%description excel
This package provides the [excel] extra for python-pandas.
(Except for pyxlsb, which is not available as openSUSE rpm package)
(Except for pyxlsb and calamine which are not available as openSUSE rpm package)
%package parquet
Summary: The python pandas[parquet] extra
Requires: python-pandas = %{version}
Requires: python-pyarrow >= 7.0.0
Requires: python-pyarrow >= 10.0.1
BuildArch: noarch
%description parquet
@ -247,7 +254,7 @@ This package provides the [parquet] extra for python-pandas
%package feather
Summary: The python pandas[feather] extra
Requires: python-pandas = %{version}
Requires: python-pyarrow >= 7.0.0
Requires: python-pyarrow >= 10.0.1
BuildArch: noarch
%description feather
@ -257,7 +264,7 @@ This package provides the [feather] extra for python-pandas
Summary: The python pandas[hdf5] extra
Requires: python-blosc
Requires: python-pandas = %{version}
Requires: python-tables >= 3.7.0
Requires: python-tables >= 3.8.0
BuildArch: noarch
%description hdf5
@ -266,7 +273,7 @@ This package provides the [hdf5] extra for python-pandas
%package spss
Summary: The python pandas[spss] extra
Requires: python-pandas = %{version}
Requires: python-pyreadstat >= 1.1.5
Requires: python-pyreadstat >= 1.2.0
BuildArch: noarch
%description spss
@ -274,9 +281,10 @@ This package provides the [spss] extra for python-pandas
%package postgresql
Summary: The python pandas[postgresql] extra
Requires: python-SQLAlchemy >= 1.4.36
Requires: python-SQLAlchemy >= 2.0.0
Requires: python-pandas = %{version}
Requires: python-psycopg2 >= 2.9.3
Requires: python-psycopg2 >= 2.9.6
%{?with_adbc:Requires: python-adbc-driver-postgresql >= 0.8}
BuildArch: noarch
%description postgresql
@ -285,7 +293,7 @@ This package provides the [postgresql] extra for python-pandas
%package mysql
Summary: The python pandas[mysql] extra
Requires: python-PyMySQL >= 1.0.2
Requires: python-SQLAlchemy >= 1.4.36
Requires: python-SQLAlchemy >= 2.0.0
Requires: python-pandas = %{version}
BuildArch: noarch
@ -294,7 +302,9 @@ This package provides the [mysql] extra for python-pandas
%package sql-other
Summary: The python pandas[sql-other] extra
Requires: python-SQLAlchemy >= 1.4.36
Requires: python-SQLAlchemy >= 2.0.0
%{?with_adbc:Requires: python-adbc-driver-postgresql >= 0.8}
%{?with_adbc:Requires: python-adbc-driver-sqlite >= 0.8}
Requires: python-pandas = %{version}
BuildArch: noarch
@ -303,9 +313,9 @@ This package provides the [sql-other] extra for python-pandas
%package html
Summary: The python pandas[html] extra
Requires: python-beautifulsoup4 >= 4.11.1
Requires: python-beautifulsoup4 >= 4.11.2
Requires: python-html5lib >= 1.1
Requires: python-lxml >= 4.8.0
Requires: python-lxml >= 4.9.2
Requires: python-pandas = %{version}
BuildArch: noarch
@ -314,7 +324,7 @@ This package provides the [html] extra for python-pandas
%package xml
Summary: The python pandas[xml] extra
Requires: python-lxml >= 4.8.0
Requires: python-lxml >= 4.9.2
Requires: python-pandas = %{version}
BuildArch: noarch
@ -323,7 +333,7 @@ This package provides the [xml] extra for python-pandas
%package plot
Summary: The python pandas[plot] extra
Requires: python-matplotlib >= 3.6.1
Requires: python-matplotlib >= 3.6.3
Requires: python-pandas = %{version}
BuildArch: noarch
@ -334,7 +344,7 @@ This package provides the [plot] extra for python-pandas
Summary: The python pandas[output_formatting] extra
Requires: python-Jinja2 >= 3.1.2
Requires: python-pandas = %{version}
Requires: python-tabulate >= 0.8.10
Requires: python-tabulate >= 0.9.0
BuildArch: noarch
%description output_formatting
@ -342,8 +352,8 @@ This package provides the [output_formatting] extra for python-pandas
%package clipboard
Summary: The python pandas[clipboard] extra
Requires: python-PyQt5 >= 5.15.6
Requires: python-QtPy >= 2.2.0
Requires: python-PyQt5 >= 5.15.9
Requires: python-QtPy >= 2.3.0
Requires: python-pandas = %{version}
BuildArch: noarch
@ -353,7 +363,7 @@ This package provides the [clipboard] extra for python-pandas
%package compression
Summary: The python pandas[compression] extra
Requires: python-pandas = %{version}
Requires: python-zstandard >= 0.17.0
Requires: python-zstandard >= 0.19.0
BuildArch: noarch
%description compression
@ -370,47 +380,45 @@ This package provides the [consortium-standard] extra for python-pandas
%package all
Summary: The python pandas[all] extra
Requires: python-Bottleneck >= 1.3.4
Requires: python-Bottleneck >= 1.3.6
Requires: python-Jinja2 >= 3.1.2
Requires: python-PyMySQL >= 1.0.2
Requires: python-PyQt5 >= 5.15.6
Requires: python-QtPy >= 2.2.0
Requires: python-SQLAlchemy >= 1.4.36
Requires: python-XlsxWriter >= 3.0.3
Requires: python-beautifulsoup4 >= 4.9.3
Requires: python-PyQt5 >= 5.15.9
Requires: python-QtPy >= 2.3.0
Requires: python-SQLAlchemy >= 2
Requires: python-XlsxWriter >= 3.0.5
Requires: python-beautifulsoup4 >= 4.11.2
%{?with_adbc:Requires: python-adbc-driver-postgresql >= 0.8}
%{?with_adbc:Requires: python-adbc-driver-sqlite >= 0.8}
Requires: python-blosc
%if %{with have_pyarrow}
Requires: python-fastparquet >= 0.8
%endif
Requires: python-fsspec >= 2022.05
Requires: python-gcsfs >= 2022.05
%{?with_calamine:Requires: python-calamine >= 0.1.7}
%{?with_pyarrow:Requires: python-fastparquet >= 2022.12}
Requires: python-fsspec >= 2022.11
Requires: python-gcsfs >= 2022.11
Requires: python-html5lib >= 1.1
Requires: python-hypothesis >= 6.46.1
Requires: python-lxml >= 4.8.0
Requires: python-matplotlib >= 3.6.1
Requires: python-numba >= 0.55.2
Requires: python-numexpr >= 2.8.0
Requires: python-lxml >= 4.9.2
Requires: python-matplotlib >= 3.6.3
Requires: python-numba >= 0.56.4
Requires: python-numexpr >= 2.8.4
Requires: python-odfpy >= 1.4.1
Requires: python-openpyxl >= 3.0.10
Requires: python-openpyxl >= 3.1.0
Requires: python-pandas = %{version}
Requires: python-psycopg2 >= 2.9.3
%if %{with have_pyarrow}
Requires: python-pyarrow >= 7.0.0
%endif
Requires: python-pyreadstat >= 1.1.5
Requires: python-psycopg2 >= 2.9.6
%{?with_pyarrow:Requires: python-pyarrow >= 10.0.1}
Requires: python-pyreadstat >= 1.2.0
Requires: python-pytest >= 7.3.2
Requires: python-pytest-asyncio >= 0.17.0
Requires: python-pytest-xdist >= 2.2.0
Requires: python-scipy >= 1.8.1
Requires: python-tables >= 3.7.0
Requires: python-tabulate >= 0.8.10
Requires: python-xarray >= 2022.03
Requires: python-scipy >= 1.10.0
Requires: python-tables >= 3.8.0
Requires: python-tabulate >= 0.9
Requires: python-xarray >= 2022.12
Requires: python-xlrd >= 2.0.1
Requires: python-zstandard >= 0.17.0
%{?_with_aws:Requires: python-s3fs >= 2022.05.0}
%{?_with_gcp:Requires: python-pandas-gbq >= 0.17.5}
%{?_with_xslb:Requires: python-pyxlsb >= 1.0.9}
%{?_with_consortium_standard: Requires: python-dataframe-api-compat >= 0.1.7}
Requires: python-zstandard >= 0.19.0
%{?with_aws:Requires: python-s3fs >= 2022.05.0}
%{?with_gcp:Requires: python-pandas-gbq >= 0.19}
%{?with_xslb:Requires: python-pyxlsb >= 1.0.10}
%{?with_consortium_standard: Requires: python-dataframe-api-compat >= 0.1.7}
BuildArch: noarch
%description all
@ -423,17 +431,20 @@ because they are not available as openSUSE RPM packages:
* pyxlsb
* s3fs
* dataframe-api-compat
* adbc-driver-postgresql
* adbc-driver-sqlite
* calamine
You can install them directly through `pip3 install --user`, if needed.
You can install them directly through `pip%{python_bin_suffix} install --user`, if needed.
%prep
# ATTENTION: unpack and generate _version_meson.py before any patches and modifications for a clean version
%setup -q -n pandas-%{version}
%if !%{with test}
# any installed python3 will do (SLE15 python module pythons does note guarantee /usr/bin/python3)
firstpython3=$(find %{_bindir} -regex '.*/python3[.0-9]*' -print -quit)
${firstpython3} generate_version.py -o _version_meson.py
sed -i "s|'python', 'generate_version.py',|'${firstpython3}', 'generate_version.py',|" meson.build
# use the last one from the buildset: need versioneer installed
%python_expand genpython="%__$python"
${genpython} generate_version.py -o _version_meson.py
sed -i "s|'generate_version.py',|'${genpython}', 'generate_version.py',|" meson.build
# don't require the PyPI data only tzdata package, we use the timezone RPM package
sed -i '/dependencies = \[/,/\]/ {/tzdata.*>=/d}' pyproject.toml
%endif
@ -479,8 +490,14 @@ SKIP_MARKERS+=" or single_cpu"
SKIP_TESTS="test_pivot_number_of_levels_larger_than_int32"
# no locally running database server
SKIP_TESTS+=" or psycopg2_engine or psycopg2_conn or pymysql_engine or pymysql_conn"
SKIP_TESTS+=" or test_psycopg2_schema_support"
SKIP_TESTS+=" or test_self_join_date_columns"
# expects a dirty git revision from git repo
SKIP_TESTS+=" or test_git_version"
%if "%{flavor}" == "test-py312"
# https://github.com/pandas-dev/pandas/pull/57391, proposed change is not necessary the right one
SKIP_TESTS+=" or (test_scalar_unary and numexpr-pandas)"
%endif
%ifarch %{ix86} %{arm32}
# https://github.com/pandas-dev/pandas/issues/31856
@ -549,6 +566,10 @@ xvfb-run pytest-%{$python_bin_suffix} -v -n %{jobs} -rsfE --dist=loadfile \
%doc README.md
%if !%{with ringdisabled}
%files %{python_files pyarrow}
%license LICENSE
%doc README.md
%files %{python_files performance}
%license LICENSE
%doc README.md
@ -577,13 +598,13 @@ xvfb-run pytest-%{$python_bin_suffix} -v -n %{jobs} -rsfE --dist=loadfile \
%license LICENSE
%doc README.md
%if %{with have_pyarrow}
%if %{with pyarrow}
%files %{python_files parquet}
%license LICENSE
%doc README.md
%endif
%if %{with have_pyarrow}
%if %{with pyarrow}
%files %{python_files feather}
%license LICENSE
%doc README.md