forked from pool/python-pandas
Accepting request 1152058 from home:bnavigator:branches:science
- 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
This commit is contained in:
Git OBS Bridge
parent
bde8bf822e
commit
1983426e6e
2
_service
2
_service
@ -2,7 +2,7 @@
|
||||
<service name="tar_scm" mode="disabled">
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||||
<param name="url">https://github.com/pandas-dev/pandas.git</param>
|
||||
<param name="scm">git</param>
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||||
<param name="revision">v2.1.4</param>
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<param name="revision">v2.2.1</param>
|
||||
<param name="versionformat">@PARENT_TAG@</param>
|
||||
<param name="versionrewrite-pattern">v(.*)</param>
|
||||
<param name="filename">pandas</param>
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||||
|
||||
BIN
pandas-2.1.4.tar.gz
(Stored with Git LFS)
BIN
pandas-2.1.4.tar.gz
(Stored with Git LFS)
Binary file not shown.
3
pandas-2.2.1.tar.gz
Normal file
3
pandas-2.2.1.tar.gz
Normal file
@ -0,0 +1,3 @@
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||||
version https://git-lfs.github.com/spec/v1
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oid sha256:5976687845c1b908a748264033d0f876e706fd97813ad914ac782160399cc246
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size 49830028
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@ -1,3 +1,142 @@
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-------------------------------------------------------------------
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Fri Feb 23 20:04:59 UTC 2024 - Ben Greiner <code@bnavigator.de>
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- Update to 2.2.1
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## Enhancements
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* Added pyarrow pip extra so users can install pandas and pyarrow
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||||
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
|
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returned instead of a `RangeIndex` (#57429)
|
||||
* Fixed regression in `wide_to_long` raising an AttributeError
|
||||
for string columns (#57066)
|
||||
* Fixed regression in `.DataFrameGroupBy.idxmin`,
|
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`.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
|
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* 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
|
||||
|
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-------------------------------------------------------------------
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Tue Feb 6 08:59:26 UTC 2024 - Dirk Müller <dmueller@suse.com>
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@ -17,30 +17,28 @@
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%global flavor @BUILD_FLAVOR@%{nil}
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%if "%{flavor}" == "test-py310"
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%define psuffix -test-py310
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%define skip_python39 1
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%define skip_python311 1
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%define skip_python312 1
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%bcond_without test
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%endif
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%if "%{flavor}" == "test-py311"
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%define psuffix -test-py311
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%define skip_python39 1
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%define skip_python310 1
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%define skip_python312 1
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%bcond_without test
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%endif
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%if "%{flavor}" == "test-py312"
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%define psuffix -test-py312
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%define skip_python39 1
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%define skip_python310 1
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%define skip_python311 1
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%bcond_without test
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%endif
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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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@ -52,13 +50,15 @@
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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 have_pyarrow
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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: 2.1.4
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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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@ -66,7 +66,7 @@ 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 >= 0.29.33 with %python-Cython < 3}
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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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@ -84,12 +84,13 @@ 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
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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
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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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@ -106,10 +107,10 @@ 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_have_pyarrow:Suggests: python-pandas-parquet}
|
||||
%{?_with_have_pyarrow:Suggests: python-pandas-feather}
|
||||
%{?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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||||
@ -126,27 +127,24 @@ BuildRequires: %{python_module pandas-clipboard = %{version}}
|
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BuildRequires: %{python_module pandas-compression = %{version}}
|
||||
BuildRequires: %{python_module pandas-computation = %{version}}
|
||||
BuildRequires: %{python_module pandas-excel = %{version}}
|
||||
%if %{with have_pyarrow}
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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
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user