forked from pool/python-pandas
Accepting request 1090040 from home:bnavigator:branches:devel:languages:python:numeric
- Update to 2.0.2
## Fixed regressions
* Fixed performance regression in GroupBy.apply() (GH53195)
* Fixed regression in merge() on Windows when dtype is np.intc
(GH52451)
* Fixed regression in read_sql() dropping columns with duplicated
column names (GH53117)
* Fixed regression in DataFrame.loc() losing MultiIndex name when
enlarging object (GH53053)
* Fixed regression in DataFrame.to_string() printing a backslash
at the end of the first row of data, instead of headers, when
the DataFrame doesn’t fit the line width (GH53054)
* Fixed regression in MultiIndex.join() returning levels in wrong
order (GH53093)
## Bug fixes
* Bug in arrays.ArrowExtensionArray incorrectly assigning dict
instead of list for .type with pyarrow.map_ and raising a
NotImplementedError with pyarrow.struct (GH53328)
* Bug in api.interchange.from_dataframe() was raising IndexError
on empty categorical data (GH53077)
* Bug in api.interchange.from_dataframe() was returning
DataFrame’s of incorrect sizes when called on slices (GH52824)
* Bug in api.interchange.from_dataframe() was unnecessarily
raising on bitmasks (GH49888)
* Bug in merge() when merging on datetime columns on different
resolutions (GH53200)
* Bug in read_csv() raising OverflowError for engine="pyarrow"
and parse_dates set (GH53295)
* Bug in to_datetime() was inferring format to contain "%H"
instead of "%I" if date contained “AM” / “PM” tokens (GH53147)
OBS-URL: https://build.opensuse.org/request/show/1090040
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=84
This commit is contained in:
Git OBS Bridge
parent
5d32d9366f
commit
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@ -1,5 +1,5 @@
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<multibuild>
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<package>test-py38</package>
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<package>test-py39</package>
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<package>test-py310</package>
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<package>test-py311</package>
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</multibuild>
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BIN
pandas-1.5.3.tar.gz
(Stored with Git LFS)
BIN
pandas-1.5.3.tar.gz
(Stored with Git LFS)
Binary file not shown.
3
pandas-2.0.2-gh.tar.gz
Normal file
3
pandas-2.0.2-gh.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 sha256:44f41cb263726716ff513081bf57ea62fec704f367e3fc8adb15e54991c98273
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size 14036944
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@ -1,3 +1,170 @@
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-------------------------------------------------------------------
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Sat May 27 13:18:13 UTC 2023 - Ben Greiner <code@bnavigator.de>
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- Update to 2.0.2
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## Fixed regressions
|
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* Fixed performance regression in GroupBy.apply() (GH53195)
|
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* Fixed regression in merge() on Windows when dtype is np.intc
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(GH52451)
|
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* Fixed regression in read_sql() dropping columns with duplicated
|
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column names (GH53117)
|
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* Fixed regression in DataFrame.loc() losing MultiIndex name when
|
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enlarging object (GH53053)
|
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* Fixed regression in DataFrame.to_string() printing a backslash
|
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at the end of the first row of data, instead of headers, when
|
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the DataFrame doesn’t fit the line width (GH53054)
|
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* Fixed regression in MultiIndex.join() returning levels in wrong
|
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order (GH53093)
|
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## Bug fixes
|
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* Bug in arrays.ArrowExtensionArray incorrectly assigning dict
|
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instead of list for .type with pyarrow.map_ and raising a
|
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NotImplementedError with pyarrow.struct (GH53328)
|
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* Bug in api.interchange.from_dataframe() was raising IndexError
|
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on empty categorical data (GH53077)
|
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* Bug in api.interchange.from_dataframe() was returning
|
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DataFrame’s of incorrect sizes when called on slices (GH52824)
|
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* Bug in api.interchange.from_dataframe() was unnecessarily
|
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raising on bitmasks (GH49888)
|
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* Bug in merge() when merging on datetime columns on different
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resolutions (GH53200)
|
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* Bug in read_csv() raising OverflowError for engine="pyarrow"
|
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and parse_dates set (GH53295)
|
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* Bug in to_datetime() was inferring format to contain "%H"
|
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instead of "%I" if date contained “AM” / “PM” tokens (GH53147)
|
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* Bug in DataFrame.convert_dtypes() ignores convert_* keywords
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when set to False dtype_backend="pyarrow" (GH52872)
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* Bug in DataFrame.convert_dtypes() losing timezone for tz-aware
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dtypes and dtype_backend="pyarrow" (GH53382)
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* Bug in DataFrame.sort_values() raising for PyArrow dictionary
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dtype (GH53232)
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* Bug in Series.describe() treating pyarrow-backed timestamps and
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timedeltas as categorical data (GH53001)
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* Bug in Series.rename() not making a lazy copy when
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Copy-on-Write is enabled when a scalar is passed to it
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(GH52450)
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* Bug in pd.array() raising for NumPy array and pa.large_string
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or pa.large_binary (GH52590)
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* Bug in DataFrame.__getitem__() not preserving dtypes for
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MultiIndex partial keys (GH51895)
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## Other
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* Raised a better error message when calling
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Series.dt.to_pydatetime() with ArrowDtype with pyarrow.date32
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or pyarrow.date64 type (GH52812)
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- Release to 2.0.1
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## Fixed regressions
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* Fixed regression for subclassed Series when constructing from a
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dictionary (GH52445)
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* Fixed regression in SeriesGroupBy.agg() failing when grouping
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with categorical data, multiple groupings, as_index=False, and
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a list of aggregations (GH52760)
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* Fixed regression in DataFrame.pivot() changing Index name of
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input object (GH52629)
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* Fixed regression in DataFrame.resample() raising on a DataFrame
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with no columns (GH52484)
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* Fixed regression in DataFrame.sort_values() not resetting index
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when DataFrame is already sorted and ignore_index=True
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(GH52553)
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* Fixed regression in MultiIndex.isin() raising TypeError for
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Generator (GH52568)
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* Fixed regression in Series.describe() showing RuntimeWarning
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for extension dtype Series with one element (GH52515)
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* Fixed regression when adding a new column to a DataFrame when
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the DataFrame.columns was a RangeIndex and the new key was
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hashable but not a scalar (GH52652)
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## Bug fixes
|
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* Bug in Series.dt.days that would overflow int32 number of days
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(GH52391)
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* Bug in arrays.DatetimeArray constructor returning an incorrect
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unit when passed a non-nanosecond numpy datetime array
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(GH52555)
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* Bug in ArrowExtensionArray with duration dtype overflowing when
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constructed from data containing numpy NaT (GH52843)
|
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* Bug in Series.dt.round() when passing a freq of equal or higher
|
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resolution compared to the Series would raise a
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ZeroDivisionError (GH52761)
|
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* Bug in Series.median() with ArrowDtype returning an approximate
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median (GH52679)
|
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* Bug in api.interchange.from_dataframe() was unnecessarily
|
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raising on categorical dtypes (GH49889)
|
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* Bug in api.interchange.from_dataframe() was unnecessarily
|
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raising on large string dtypes (GH52795)
|
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* Bug in pandas.testing.assert_series_equal() where
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check_dtype=False would still raise for datetime or timedelta
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types with different resolutions (GH52449)
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* Bug in read_csv() casting PyArrow datetimes to NumPy when
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dtype_backend="pyarrow" and parse_dates is set causing a
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performance bottleneck in the process (GH52546)
|
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* Bug in to_datetime() and to_timedelta() when trying to convert
|
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numeric data with a ArrowDtype (GH52425)
|
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* Bug in to_numeric() with errors='coerce' and
|
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dtype_backend='pyarrow' with ArrowDtype data (GH52588)
|
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* Bug in ArrowDtype.__from_arrow__() not respecting if dtype is
|
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explicitly given (GH52533)
|
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* Bug in DataFrame.describe() not respecting ArrowDtype in
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include and exclude (GH52570)
|
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* Bug in DataFrame.max() and related casting different Timestamp
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resolutions always to nanoseconds (GH52524)
|
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* Bug in Series.describe() not returning ArrowDtype with
|
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pyarrow.float64 type with numeric data (GH52427)
|
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* Bug in Series.dt.tz_localize() incorrectly localizing
|
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timestamps with ArrowDtype (GH52677)
|
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* Bug in arithmetic between np.datetime64 and np.timedelta64 NaT
|
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scalars with units always returning nanosecond resolution
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(GH52295)
|
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* Bug in logical and comparison operations between ArrowDtype and
|
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numpy masked types (e.g. "boolean") (GH52625)
|
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* Fixed bug in merge() when merging with ArrowDtype one one and a
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NumPy dtype on the other side (GH52406)
|
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* Fixed segfault in Series.to_numpy() with null[pyarrow] dtype
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(GH52443)
|
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## Other
|
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* DataFrame created from empty dicts had columns of dtype object.
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It is now a RangeIndex (GH52404)
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* Series created from empty dicts had index of dtype object. It
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is now a RangeIndex (GH52404)
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* Implemented Series.str.split() and Series.str.rsplit() for
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ArrowDtype with pyarrow.string (GH52401)
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* Implemented most str accessor methods for ArrowDtype with
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pyarrow.string (GH52401)
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* Supplying a non-integer hashable key that tests False in
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api.types.is_scalar() now raises a KeyError for
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RangeIndex.get_loc(), like it does for Index.get_loc().
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Previously it raised an InvalidIndexError (GH52652).
|
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- Release to 2.0.0
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## Enhancements
|
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* Installing optional dependencies with pip extras
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* Index can now hold numpy numeric dtypes
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* Argument dtype_backend , to return pyarrow-backed or
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numpy-backed nullable dtypes
|
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* Copy-on-Write improvements
|
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* Other enhancements, see
|
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https://pandas.pydata.org/pandas-docs/version/2.0.2/whatsnew/v2.0.0.html#other-enhancements
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## Notable bug fixes
|
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* DataFrameGroupBy.cumsum() and DataFrameGroupBy.cumprod()
|
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overflow instead of lossy casting to float
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* DataFrameGroupBy.nth() and SeriesGroupBy.nth() now behave as
|
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filtrations
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## Backwards incompatible API changes
|
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* Construction with datetime64 or timedelta64 dtype with
|
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unsupported resolution
|
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* Value counts sets the resulting name to count
|
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* Disallow astype conversion to non-supported
|
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datetime64/timedelta64 dtypes
|
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* UTC and fixed-offset timezones default to standard-library
|
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tzinfo objects
|
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* Empty DataFrames/Series will now default to have a RangeIndex
|
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* DataFrame to LaTeX has a new render engine
|
||||
* Increased minimum versions for dependencies
|
||||
* Datetimes are now parsed with a consistent format
|
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* Other API changes, see
|
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https://pandas.pydata.org/pandas-docs/version/2.0.2/whatsnew/v2.0.0.html#other-api-changes
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## Deprecations
|
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## Removal of prior version deprecations/changes
|
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## Performance improvements
|
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## Bug fixes
|
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- Drop python38 test flavor and start testing python311 which has
|
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been missing since.
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-------------------------------------------------------------------
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Mon May 8 06:10:30 UTC 2023 - Johannes Kastl <kastl@b1-systems.de>
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@ -17,22 +17,22 @@
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%global flavor @BUILD_FLAVOR@%{nil}
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%if "%{flavor}" == "test-py38"
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%define psuffix -test-py38
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%define skip_python39 1
|
||||
%define skip_python310 1
|
||||
%bcond_without test
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||||
%endif
|
||||
%if "%{flavor}" == "test-py39"
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%define psuffix -test-py39
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%define skip_python38 1
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%define skip_python310 1
|
||||
%define skip_python311 1
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||||
%bcond_without test
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||||
%endif
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||||
%if "%{flavor}" == "test-py310"
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%define psuffix -test-py310
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%define skip_python38 1
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%define skip_python39 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}" == "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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%bcond_without test
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%endif
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%if "%{flavor}" == ""
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@ -40,99 +40,103 @@
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%bcond_with test
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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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%{?sle15_python_module_pythons}
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Name: python-pandas%{psuffix}
|
||||
Version: 1.5.3
|
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Version: 2.0.2
|
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Release: 0
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||||
Summary: Python data structures for data analysis, time series, and statistics
|
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License: BSD-3-Clause
|
||||
Group: Development/Libraries/Python
|
||||
URL: https://pandas.pydata.org/
|
||||
Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz
|
||||
# Use GitHub Archive: Test-data
|
||||
Source0: https://github.com/pandas-dev/pandas/archive/refs/tags/v%{version}.tar.gz#/pandas-%{version}-gh.tar.gz
|
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# SourceRepository: https://github.com/pandas-dev/pandas
|
||||
BuildRequires: %{python_module Cython >= 0.29.32}
|
||||
BuildRequires: %{python_module Cython >= 0.29.33 with %python-Cython < 3}
|
||||
BuildRequires: %{python_module devel >= 3.8}
|
||||
BuildRequires: %{python_module numpy-devel >= 1.20.3}
|
||||
BuildRequires: %{python_module pip}
|
||||
BuildRequires: %{python_module setuptools >= 51.0.0}
|
||||
BuildRequires: %{python_module setuptools >= 61.0.0}
|
||||
BuildRequires: %{python_module versioneer-toml}
|
||||
BuildRequires: %{python_module wheel}
|
||||
BuildRequires: fdupes
|
||||
BuildRequires: gcc-c++
|
||||
BuildRequires: python-rpm-macros
|
||||
Requires: python-numpy >= 1.20.3
|
||||
Requires: python-python-dateutil >= 2.8.1
|
||||
Requires: python-python-dateutil >= 2.8.2
|
||||
Requires: python-pytz >= 2020.1
|
||||
Requires: timezone >= 2022a
|
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Obsoletes: python-pandas-doc < %{version}
|
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Provides: python-pandas-doc = %{version}
|
||||
# SECTION Optional dependencies
|
||||
# https://pandas.pydata.org/docs/getting_started/install.html#optional-dependencies
|
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Recommends: python-Bottleneck >= 1.3.2
|
||||
Recommends: python-numexpr >= 2.7.3
|
||||
# Compression
|
||||
Suggests: python-Brotli >= 0.7.0
|
||||
Suggests: python-Jinja2 >= 3.0.0
|
||||
# SQL databases
|
||||
Suggests: python-PyMySQL >= 1.0.2
|
||||
Suggests: python-QtPy
|
||||
Suggests: python-SQLAlchemy >= 1.4.16
|
||||
Suggests: python-XlsxWriter >= 1.2.2
|
||||
# HTML
|
||||
Suggests: python-beautifulsoup4 >= 4.9.3
|
||||
Suggests: python-blosc >= 1.21.0
|
||||
Suggests: python-fastparquet >= 0.4.0
|
||||
# Access data in the cloud
|
||||
Suggests: python-fsspec >= 2021.7.0
|
||||
Suggests: python-gcsfs >= 2021.7.0
|
||||
Suggests: python-html5lib >= 1.1
|
||||
Suggests: python-lxml >= 4.6.3
|
||||
# Visualization
|
||||
Suggests: python-matplotlib >= 3.3.2
|
||||
Suggests: python-numba >= 0.53.1
|
||||
Suggests: python-openpyxl >= 3.0.7
|
||||
Suggests: python-pandas-gbq >= 0.15.0
|
||||
Suggests: python-psycopg2 >= 2.8.6
|
||||
Suggests: python-pyarrow >= 1.0.1
|
||||
Suggests: python-pyreadstat >= 1.1.2
|
||||
Suggests: python-python-snappy >= 0.6.0
|
||||
Suggests: python-pyxlb >= 1.0.8
|
||||
# Clipboard
|
||||
Suggests: python-qt5
|
||||
Suggests: python-s3fs >= 2021.08.0
|
||||
# Computation
|
||||
Suggests: python-scipy >= 1.7.1
|
||||
# Other data sources
|
||||
Suggests: python-tables >= 3.6.1
|
||||
Suggests: python-tabulate >= 0.8.9
|
||||
Suggests: python-xarray >= 0.19.0
|
||||
# Excel files
|
||||
Suggests: python-xlrd >= 2.0.1
|
||||
Suggests: python-xlwt >= 1.3.0
|
||||
Suggests: python-zlib
|
||||
Suggests: python-zstandard >= 0.15.2
|
||||
Suggests: xclip
|
||||
Suggests: xsel
|
||||
%if 0%{?python_version_nodots} >= 311
|
||||
Requires: python-numpy >= 1.23.2
|
||||
%elif 0%{?python_version_nodots} >= 310
|
||||
Requires: python-numpy >= 1.21.0
|
||||
%else
|
||||
Requires: python-numpy >= 1.20.3
|
||||
%endif
|
||||
# SECTION extras
|
||||
Recommends: python-pandas-performance
|
||||
Suggests: python-pandas-all
|
||||
Suggests: python-pandas-clipboard
|
||||
Suggests: python-pandas-compression
|
||||
Suggests: python-pandas-computation
|
||||
Suggests: python-pandas-excel
|
||||
Suggests: python-pandas-feather
|
||||
Suggests: python-pandas-fss
|
||||
Suggests: python-pandas-hdf5
|
||||
Suggests: python-pandas-html
|
||||
Suggests: python-pandas-mysql
|
||||
Suggests: python-pandas-output_formatting
|
||||
Suggests: python-pandas-parquet
|
||||
Suggests: python-pandas-plot
|
||||
Suggests: python-pandas-postgresql
|
||||
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}
|
||||
# /SECTION
|
||||
%if %{with test}
|
||||
BuildRequires: %{python_module Bottleneck >= 1.3.2}
|
||||
BuildRequires: %{python_module Jinja2 >= 3}
|
||||
BuildRequires: %{python_module SQLAlchemy >= 1.4.16}
|
||||
BuildRequires: %{python_module XlsxWriter >= 1.4.3}
|
||||
BuildRequires: %{python_module beautifulsoup4 >= 4.9.3}
|
||||
BuildRequires: %{python_module hypothesis >= 6.13.0}
|
||||
BuildRequires: %{python_module lxml >= 4.6.3}
|
||||
BuildRequires: %{python_module matplotlib >= 3.3.2}
|
||||
BuildRequires: %{python_module numexpr >= 2.7.3}
|
||||
BuildRequires: %{python_module openpyxl >= 3.0.7}
|
||||
BuildRequires: %{python_module pandas = %{version}}
|
||||
BuildRequires: %{python_module pytest >= 6.0}
|
||||
BuildRequires: %{python_module pytest-asyncio >= 0.17}
|
||||
BuildRequires: %{python_module pytest-mock}
|
||||
BuildRequires: %{python_module pytest-xdist >= 1.31}
|
||||
BuildRequires: %{python_module scipy >= 1.7.1}
|
||||
BuildRequires: %{python_module xlrd >= 2.0.1}
|
||||
# required for sqlite3 tests
|
||||
BuildRequires: %{pythons}
|
||||
BuildRequires: %{python_module pandas-test = %{version}}
|
||||
BuildRequires: memory-constraints
|
||||
BuildRequires: xclip
|
||||
BuildRequires: xvfb-run
|
||||
%if !%{with ringdisabled}
|
||||
BuildRequires: %{python_module IPython}
|
||||
BuildRequires: %{python_module dask-array}
|
||||
BuildRequires: %{python_module dask-dataframe}
|
||||
BuildRequires: %{python_module pandas-all = %{version}}
|
||||
BuildRequires: %{python_module pandas-clipboard = %{version}}
|
||||
BuildRequires: %{python_module pandas-compression = %{version}}
|
||||
BuildRequires: %{python_module pandas-computation = %{version}}
|
||||
BuildRequires: %{python_module pandas-excel = %{version}}
|
||||
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}}
|
||||
BuildRequires: %{python_module pandas-parquet = %{version}}
|
||||
BuildRequires: %{python_module pandas-performance = %{version}}
|
||||
BuildRequires: %{python_module pandas-plot = %{version}}
|
||||
BuildRequires: %{python_module pandas-postgresql = %{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}}}
|
||||
%endif
|
||||
%endif
|
||||
%python_subpackages
|
||||
|
||||
@ -142,9 +146,270 @@ working with structured (tabular, multidimensional, potentially
|
||||
heterogeneous) and time series data. It is a high-level building
|
||||
block for doing data analysis in Python.
|
||||
|
||||
%package test
|
||||
Summary: The python pandas[test] extra
|
||||
Requires: python-hypothesis >= 6.34.2
|
||||
Requires: python-pandas = %{version}
|
||||
Requires: python-pytest >= 7.0.0
|
||||
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 performance
|
||||
Summary: The python pandas[performance] extra
|
||||
Requires: python-Bottleneck >= 1.3.2
|
||||
Requires: python-numba >= 0.53.1
|
||||
Requires: python-numexpr >= 2.7.1
|
||||
Requires: python-pandas = %{version}
|
||||
BuildArch: noarch
|
||||
|
||||
%description performance
|
||||
This package provides the [performance] extra for python-pandas
|
||||
|
||||
It is highly recommended to install this subpackage, as its dependencies
|
||||
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 >= 1.7.1
|
||||
Requires: python-xarray >= 0.21.0
|
||||
BuildArch: noarch
|
||||
|
||||
%description computation
|
||||
This package provides the [computation] extra for python-pandas
|
||||
|
||||
%package fss
|
||||
Summary: The python pandas[fss] extra
|
||||
Requires: python-fsspec >= 2021.07.0
|
||||
Requires: python-pandas = %{version}
|
||||
BuildArch: noarch
|
||||
|
||||
%description fss
|
||||
This package provides the [fss] extra for python-pandas
|
||||
|
||||
%package aws
|
||||
Summary: The python pandas[aws] extra
|
||||
Requires: python-pandas = %{version}
|
||||
Requires: python-s3fs >= 2021.08.0
|
||||
BuildArch: noarch
|
||||
|
||||
%description aws
|
||||
This package provides the [aws] extra for python-pandas
|
||||
|
||||
%package gcp
|
||||
Summary: The python pandas[gcp] extra
|
||||
Requires: python-gcsfs >= 2021.07.0
|
||||
Requires: python-pandas = %{version}
|
||||
Requires: python-pandas-gbq >= 0.15.0
|
||||
BuildArch: noarch
|
||||
|
||||
%description gcp
|
||||
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 >= 3.0.7
|
||||
Requires: python-pandas = %{version}
|
||||
%{?_with_xlsb:Requires: python-pyxlsb >= 1.0.8}
|
||||
Requires: python-XlsxWriter >= 1.4.3
|
||||
Requires: python-xlrd >= 2.0.1
|
||||
BuildArch: noarch
|
||||
|
||||
%description excel
|
||||
This package provides the [excel] extra for python-pandas.
|
||||
(Except for pyxlsb, which is not available as openSUSE rpm package)
|
||||
|
||||
%package parquet
|
||||
Summary: The python pandas[parquet] extra
|
||||
Requires: python-pandas = %{version}
|
||||
Requires: python-pyarrow >= 7.0.0
|
||||
BuildArch: noarch
|
||||
|
||||
%description parquet
|
||||
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
|
||||
BuildArch: noarch
|
||||
|
||||
%description feather
|
||||
This package provides the [feather] extra for python-pandas
|
||||
|
||||
%package hdf5
|
||||
Summary: The python pandas[hdf5] extra
|
||||
Requires: python-blosc
|
||||
Requires: python-pandas = %{version}
|
||||
Requires: python-tables >= 3.6.1
|
||||
BuildArch: noarch
|
||||
|
||||
%description hdf5
|
||||
This package provides the [hdf5] extra for python-pandas
|
||||
|
||||
%package spss
|
||||
Summary: The python pandas[spss] extra
|
||||
Requires: python-pandas = %{version}
|
||||
Requires: python-pyreadstat >= 1.1.2
|
||||
BuildArch: noarch
|
||||
|
||||
%description spss
|
||||
This package provides the [spss] extra for python-pandas
|
||||
|
||||
%package postgresql
|
||||
Summary: The python pandas[postgresql] extra
|
||||
Requires: python-SQLAlchemy >= 1.4.16
|
||||
Requires: python-pandas = %{version}
|
||||
Requires: python-psycopg2 >= 2.8.6
|
||||
BuildArch: noarch
|
||||
|
||||
%description postgresql
|
||||
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 >= 1.4.16
|
||||
Requires: python-pandas = %{version}
|
||||
BuildArch: noarch
|
||||
|
||||
%description mysql
|
||||
This package provides the [mysql] extra for python-pandas
|
||||
|
||||
%package sql-other
|
||||
Summary: The python pandas[sql-other] extra
|
||||
Requires: python-SQLAlchemy >= 1.4.16
|
||||
Requires: python-pandas = %{version}
|
||||
BuildArch: noarch
|
||||
|
||||
%description sql-other
|
||||
This package provides the [sql-other] extra for python-pandas
|
||||
|
||||
%package html
|
||||
Summary: The python pandas[html] extra
|
||||
Requires: python-beautifulsoup4 >= 4.9.3
|
||||
Requires: python-html5lib >= 1.1
|
||||
Requires: python-lxml >= 4.6.3
|
||||
Requires: python-pandas = %{version}
|
||||
BuildArch: noarch
|
||||
|
||||
%description html
|
||||
This package provides the [html] extra for python-pandas
|
||||
|
||||
%package xml
|
||||
Summary: The python pandas[xml] extra
|
||||
Requires: python-lxml >= 4.6.3
|
||||
Requires: python-pandas = %{version}
|
||||
BuildArch: noarch
|
||||
|
||||
%description xml
|
||||
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-pandas = %{version}
|
||||
BuildArch: noarch
|
||||
|
||||
%description plot
|
||||
This package provides the [plot] extra for python-pandas
|
||||
|
||||
%package output_formatting
|
||||
Summary: The python pandas[output_formatting] extra
|
||||
Requires: python-Jinja2 >= 3.0.0
|
||||
Requires: python-pandas = %{version}
|
||||
Requires: python-tabulate >= 0.8.9
|
||||
BuildArch: noarch
|
||||
|
||||
%description output_formatting
|
||||
This package provides the [output_formatting] extra for python-pandas
|
||||
|
||||
%package clipboard
|
||||
Summary: The python pandas[clipboard] extra
|
||||
Requires: python-PyQt5 >= 5.15.1
|
||||
Requires: python-QtPy >= 2.2.0
|
||||
Requires: python-pandas = %{version}
|
||||
BuildArch: noarch
|
||||
|
||||
%description clipboard
|
||||
This package provides the [clipboard] extra for python-pandas
|
||||
|
||||
%package compression
|
||||
Summary: The python pandas[compression] extra
|
||||
Requires: python-brotlipy >= 0.7.0
|
||||
Requires: python-pandas = %{version}
|
||||
Requires: python-python-snappy >= 0.6.0
|
||||
Requires: python-zstandard >= 0.15.2
|
||||
BuildArch: noarch
|
||||
|
||||
%description compression
|
||||
This package provides the [compression] extra for python-pandas
|
||||
|
||||
%package all
|
||||
Summary: The python pandas[all] extra
|
||||
Requires: python-Bottleneck >= 1.3.2
|
||||
Requires: python-Jinja2 >= 3.0.0
|
||||
Requires: python-PyMySQL >= 1.0.2
|
||||
Requires: python-PyQt5 >= 5.15.1
|
||||
Requires: python-QtPy >= 2.2.0
|
||||
Requires: python-SQLAlchemy >= 1.4.16
|
||||
Requires: python-XlsxWriter >= 1.4.3
|
||||
Requires: python-beautifulsoup4 >= 4.9.3
|
||||
Requires: python-blosc
|
||||
Requires: python-brotlipy >= 0.7.0
|
||||
Requires: python-fastparquet >= 0.6.3
|
||||
Requires: python-fsspec >= 2021.07.0
|
||||
Requires: python-gcsfs >= 2021.07.0
|
||||
Requires: python-html5lib >= 1.1
|
||||
Requires: python-hypothesis >= 6.34.2
|
||||
Requires: python-lxml >= 4.6.3
|
||||
Requires: python-matplotlib >= 3.6.1
|
||||
Requires: python-numba >= 0.53.1
|
||||
Requires: python-numexpr >= 2.7.3
|
||||
Requires: python-odfpy >= 1.4.1
|
||||
Requires: python-openpyxl >= 3.0.7
|
||||
Requires: python-pandas = %{version}
|
||||
Requires: python-psycopg2 >= 2.8.6
|
||||
Requires: python-pyarrow >= 7.0.0
|
||||
Requires: python-pyreadstat >= 1.1.2
|
||||
Requires: python-pytest >= 7.0.0
|
||||
Requires: python-pytest-asyncio >= 0.17.0
|
||||
Requires: python-pytest-xdist >= 2.2.0
|
||||
Requires: python-python-snappy >= 0.6.0
|
||||
Requires: python-scipy >= 1.7.1
|
||||
Requires: python-tables >= 3.6.1
|
||||
Requires: python-tabulate >= 0.8.9
|
||||
Requires: python-xarray >= 0.21.0
|
||||
Requires: python-xlrd >= 2.0.1
|
||||
Requires: python-zstandard >= 0.15.2
|
||||
%{?_with_aws:Requires: python-s3fs >= 2021.08.0}
|
||||
%{?_with_gcp:Requires: python-pandas-gbq >= 0.15.0}
|
||||
%{?_with_xslb:Requires: python-pyxlsb >= 1.0.8}
|
||||
BuildArch: noarch
|
||||
|
||||
%description all
|
||||
This package provides most the [all] extra for python-pandas
|
||||
|
||||
Some requirements defined in the PyPI package are left out
|
||||
because they are not available as openSUSE RPM packages:
|
||||
|
||||
* pandas-gbq
|
||||
* pyxlsb
|
||||
* s3fs
|
||||
|
||||
You can install them directly through `pip3 install --user`, if needed.
|
||||
|
||||
%prep
|
||||
%autosetup -p1 -n pandas-%{version}
|
||||
sed -i 's/--strict-data-files//' pyproject.toml
|
||||
# don't call pytest with --strict-data-files
|
||||
sed -i '/addopts/ {s/--strict-data-files//}' pyproject.toml
|
||||
# don't require the PyPI data only tzdata package, we use the timezone RPM package
|
||||
sed -i '/dependencies = \[/,/\]/ {/tzdata.*>=/d}' pyproject.toml
|
||||
|
||||
%build
|
||||
%if !%{with test}
|
||||
@ -175,28 +440,29 @@ export PYTHONDONTWRITEBYTECODE=1
|
||||
# https://github.com/pytest-dev/pytest/issues/920
|
||||
# https://github.com/pytest-dev/pytest/issues/1075
|
||||
export PYTHONHASHSEED=1
|
||||
# dtypes not as expected
|
||||
# https://github.com/pandas-dev/pandas/issues/39096
|
||||
# https://github.com/pandas-dev/pandas/issues/36579
|
||||
SKIP_TESTS="(test_misc and test_memory_usage and series and empty and index)"
|
||||
# pytest-xdist worker crash
|
||||
SKIP_TESTS+=" or test_pivot_number_of_levels_larger_than_int32"
|
||||
# https://github.com/pandas-dev/pandas/pull/49777 -- removed in pandas 1.6+
|
||||
SKIP_TESTS+=" or test_constructor_signed_int_overflow_deprecation"
|
||||
|
||||
# --skip-* arguments: Upstream's custom way to skip marked tests. These do not use pytest.mark.
|
||||
SKIP_ARGS="--skip-network"
|
||||
# clipboard not set up properly in build service without window manager
|
||||
SKIP_MARKERS="clipboard"
|
||||
# skip tests which upstream marked for -n 1 only.
|
||||
SKIP_MARKERS+=" or single_cpu"
|
||||
# pytest-xdist worker crash
|
||||
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"
|
||||
|
||||
if [ $(getconf LONG_BIT) -eq 32 ]; then
|
||||
%ifarch %{ix86} %{arm32}
|
||||
# https://github.com/pandas-dev/pandas/issues/31856
|
||||
SKIP_TESTS+=" or test_maybe_promote_int_with_int"
|
||||
# rounding error
|
||||
SKIP_TESTS+=" or (test_rolling_quantile_interpolation_options and data1 and linear and 0.1)"
|
||||
fi
|
||||
# overflow
|
||||
SKIP_TESTS+=" or test_large_string_pyarrow"
|
||||
# dtype mismatch
|
||||
SKIP_TESTS+=" or test_frame_setitem_dask_array_into_new_col"
|
||||
# numba formats not supported on 32-bit
|
||||
SKIP_TESTS+=" or numba"
|
||||
%endif
|
||||
%ifarch %{ix86}
|
||||
# overflows on i586
|
||||
SKIP_TESTS+=" or test_encode_non_c_locale"
|
||||
@ -231,7 +497,7 @@ SKIP_ARGS+=" --skip-slow --skip-db"
|
||||
|
||||
%{python_expand $python -c 'import pandas; print(pandas.__path__); print(pandas.show_versions())'
|
||||
# cache: can't just say no cacheprovider, because one test checks for the --lf option of pytest-cache
|
||||
xvfb-run pytest-%{$python_bin_suffix} -v -n %{jobs} --dist=loadfile \
|
||||
xvfb-run pytest-%{$python_bin_suffix} -v -n %{jobs} -rsfE --dist=loadfile \
|
||||
-o cache_dir=$PWD/.pytest_cache --cache-clear \
|
||||
${SKIP_ARGS} \
|
||||
-m "not (${SKIP_MARKERS})" \
|
||||
@ -246,6 +512,96 @@ xvfb-run pytest-%{$python_bin_suffix} -v -n %{jobs} --dist=loadfile \
|
||||
%doc README.md RELEASE.md
|
||||
%{python_sitearch}/pandas/
|
||||
%{python_sitearch}/pandas-%{version}.dist-info
|
||||
|
||||
%files %{python_files test}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%if !%{with ringdisabled}
|
||||
%files %{python_files performance}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files computation}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files fss}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%if %{with aws}
|
||||
%files %{python_files aws}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
%endif
|
||||
|
||||
%if %{with gcp}
|
||||
%files %{python_files gcp}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
%endif
|
||||
|
||||
%files %{python_files excel}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files parquet}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files feather}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files hdf5}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files spss}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files postgresql}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files mysql}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files sql-other}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files html}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files xml}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files plot}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files output_formatting}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files clipboard}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files compression}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
|
||||
%files %{python_files all}
|
||||
%license LICENSE
|
||||
%doc README.md
|
||||
%endif
|
||||
%endif
|
||||
|
||||
%changelog
|
||||
|
||||
Loading…
Reference in New Issue
Block a user