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| Name: python311-pandas-html | Distribution: openSUSE Tumbleweed |
| Version: 2.3.3 | Vendor: openSUSE |
| Release: 1.5 | Build date: Thu Dec 18 11:25:25 2025 |
| Group: Unspecified | Build host: reproducible |
| Size: 13171 | Source RPM: python-pandas-2.3.3-1.5.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://pandas.pydata.org/ | |
| Summary: The python pandas[html] extra | |
This package provides the [html] extra for python-pandas
BSD-3-Clause
* Thu Dec 18 2025 Markéta Machová <mmachova@suse.com>
- update to 2.3.3
* compatibility with Python 3.14
* Improvements and fixes for the StringDtype
* Fix bug in Series.str methods
* Fix bug in groupby() with sum() and unobserved categories
resulting in 0 instead of the empty string
- Add upstream pandas-pr62553-numexpr.patch to fix compatibility
with numexpr 2.13
* Sun Sep 14 2025 Dirk Müller <dmueller@suse.com>
- update to 2.3.2:
* Fix to_json() with orient="table" to correctly use the
“string” type in the JSON Table Schema for StringDtype columns
* Boolean operations (|, &, ^) with bool-dtype objects on the
left and StringDtype objects on the right now cast the string
to bool, with a deprecation warning
* Fixed match(), fullmatch() and contains() string methods with
compiled regex for the Arrow-backed string dtype
* Bug in Series.replace() and DataFrame.replace() inconsistently
replacing matching values when missing values are present
for string dtypes
* Fri Jul 11 2025 Ben Greiner <code@bnavigator.de>
- Update to 2.3.1
* This release includes some improvements and fixes to the future
string data type (preview feature for the upcoming pandas 3.0)
[#]# Improvements and fixes for the StringDtype
* Comparisons between different string dtypes
* Index set operations ignore empty RangeIndex and object dtype
Index
[#]# Bug fixes
* Bug in DataFrameGroupBy.min(), DataFrameGroupBy.max(),
Resampler.min(), Resampler.max() where all NA values of string
dtype would return float instead of string dtype (GH 60810)
* Bug in DataFrame.join() incorrectly downcasting object-dtype
indexes (GH 61771)
* Bug in DataFrame.sum() with axis=1, DataFrameGroupBy.sum() or
SeriesGroupBy.sum() with skipna=True, and Resampler.sum() with
all NA values of StringDtype resulted in 0 instead of the empty
string "" (GH 60229)
* Fixed bug in DataFrame.explode() and Series.explode() where
methods would fail with dtype="str" (GH 61623)
* Fixed bug in unpickling objects pickled in pandas versions
pre-2.3.0 that used StringDtype (GH 61763)
- Release 2.3.0
[#]# Enhancements
* The semantics for the copy keyword in __array__ methods (i.e.
called when using np.array() or np.asarray() on pandas objects)
has been updated to work correctly with NumPy >= 2 (GH 57739)
* Series.str.decode() result now has StringDtype when
future.infer_string is True (GH 60709)
* to_hdf() and to_hdf() now round-trip with StringDtype (GH
60663)
* Improved repr of NumpyExtensionArray to account for NEP51 (GH
61085)
* The Series.str.decode() has gained the argument dtype to
control the dtype of the result (GH 60940)
* The cumsum(), cummin(), and cummax() reductions are now
implemented for StringDtype columns (GH 60633)
* The sum() reduction is now implemented for StringDtype columns
(GH 59853)
[#]# Deprecations
* Deprecated allowing non-bool values for na in str.contains(),
str.startswith(), and str.endswith() for dtypes that do not
already disallow these (GH 59615)
* Deprecated the "pyarrow_numpy" storage option for StringDtype
(GH 60152)
* The deprecation of setting the argument include_groups to True
in DataFrameGroupBy.apply() has been promoted from a
DeprecationWarning to FutureWarning; only False will be allowed
(GH 7155)
[#]# Bug fixes
[#]## Numeric
* Bug in Series.mode() and DataFrame.mode() with dropna=False
where not all dtypes would sort in the presence of NA values
(GH 60702)
* Bug in Series.round() where a TypeError would always raise with
object dtype (GH 61206)
[#]## Strings
* Bug in Series.__pos__() and DataFrame.__pos__() where an
Exception was not raised for StringDtype with storage="pyarrow"
(GH 60710)
* Bug in Series.rank() for StringDtype with storage="pyarrow"
that incorrectly returned integer results with method="average"
and raised an error if it would truncate results (GH 59768)
* Bug in Series.replace() with StringDtype when replacing with a
non-string value was not upcasting to object dtype (GH 60282)
* Bug in Series.str.center() with StringDtype with
storage="pyarrow" not matching the python behavior in corner
cases with an odd number of fill characters (GH 54792)
* Bug in Series.str.replace() when n < 0 for StringDtype with
storage="pyarrow" (GH 59628)
* Bug in Series.str.slice() with negative step with ArrowDtype
and StringDtype with storage="pyarrow" giving incorrect results
(GH 59710)
[#]## Indexing
Bug in Index.get_indexer() round-tripping through string dtype
when infer_string is enabled (GH 55834)
[#]## I/O
* Bug in DataFrame.to_excel() which stored decimals as strings
instead of numbers (GH 49598)
[#]## Other
* Fixed usage of inspect when the optional dependencies pyarrow
or jinja2 are not installed (GH 60196)
- Drop patches:
* timedelta.patch
* pandas-pr60545-arrow-exception.patch
* pandas-pr60584-60586-mpl-vert.patch
- Refresh dropna.patch to pandas-pr61132-dropna.patch
* gh#pandas-dev/pandas#61132
* Thu Mar 20 2025 Markéta Machová <mmachova@suse.com>
- Add dropna.patch and timedelta.patch to fix tests with Numpy 2.2
* Thu Feb 20 2025 Ben Greiner <code@bnavigator.de>
- Support pyarrow 19
* Add pandas-pr60545-arrow-exception.patch
gh#pandas-dev/pandas#60545
* Skip TestParquetPyArrow.test_roundtrip_decimal: Would require
gh#pandas-dev/pandas#60755 and all other backports of the new
string type system.
* Fri Feb 07 2025 Ben Greiner <code@bnavigator.de>
- Add pandas-pr60584-60586-mpl-vert.patch
* Fixes matplotlib deprecation errors in the test suite
* gh#pandas-dev/pandas#60584
* backported in gh#pandas-dev/pandas#60586
* Fri Dec 13 2024 Steve Kowalik <steven.kowalik@suse.com>
- Change skipped tests to also support Python 3.13.
* Wed Nov 27 2024 Markéta Machová <mmachova@suse.com>
- Drop tests-nomkl.patch and tests-wasm.patch, not needed anymore
- Skip a test failing with new xarray
* Fri Oct 25 2024 Steve Kowalik <steven.kowalik@suse.com>
- Skip two tests that fail with Numpy 2.1.
* Fri Oct 11 2024 Steve Kowalik <steven.kowalik@suse.com>
- Prepare for Python 3.13, by skipping it if we aren't building for it.
* Tue Oct 01 2024 John Paul Adrian Glaubitz <adrian.glaubitz@suse.com>
- Update to 2.2.3
* Bug in eval() on complex including division /
discards imaginary part. (GH 21374)
* Minor fixes for numpy 2.1 compatibility. (GH 59444)
* Missing licenses for 3rd party dependencies were
added back into the wheels. (GH 58632)
- Drop pandas-pr58269-pyarrow16xpass.patch, merged upstream
- Drop pandas-pr58484-matplotlib.patch, merged upstream
- Drop pandas-pr59175-matplotlib.patch, merged upstream
- Drop pandas-pr59353-np2eval.patch, merged upstream
- Drop tests-npdev.patch, merged upstream
- Drop tests-timedelta.patch, merged upstream
- Refresh tests-nomkl.patch
- Renumber remaining patches
* Mon Sep 16 2024 Markéta Machová <mmachova@suse.com>
- Add bunch of patches to fix the testsuite with NumPy 2.1
* tests-wasm.patch
* tests-nomkl.patch
* tests-timedelta.patch
* tests-npdev.patch
- Skip one test failing with new timezone, the patch would be too big
* Sun Sep 08 2024 Ben Greiner <code@bnavigator.de>
- Drop pandas-pr58720-xarray-dp.patch: It does no longer xfail
* Wed Aug 28 2024 Ben Greiner <code@bnavigator.de>
- Skip overflowing tests on 32-bit
* Sun Aug 25 2024 Ben Greiner <code@bnavigator.de>
- Add pandas-pr59353-np2eval.patch
* gh#pandas-dev/pandas#59353
* gh#pandas-dev/pandas#58548
* Thu Jul 11 2024 Ben Greiner <code@bnavigator.de>
- Add pandas-pr59175-matplotlib.patch -- gh#pandas-dev/pandas#59175
* Sun May 12 2024 Matej Cepl <mcepl@cepl.eu>
- Add pandas-pr58269-pyarrow16xpass.patch
(gh#pandas-dev/pandas!58269)
- Add pandas-pr58720-xarray-dp.patch
(gh#pandas-dev/pandas!58720), which makes pandas compatible
with the modern xarray
- Add pandas-pr58484-matplotlib.patch
(gh#pandas-dev/pandas!58484), which makes pandas compatible
with the modern matplotlib
- Skip also test_plot_scatter_shape (gh#pandas-dev/pandas#58851)
* Thu May 09 2024 Matej Cepl <mcepl@cepl.eu>
- Skip build on Python 3.10 ... too many dependencies are missing.
* Tue Apr 30 2024 Ben Greiner <code@bnavigator.de>
- Update to 2.2.2
* Pandas 2.2.2 is now compatible with numpy 2.0
* Pandas 2.2.2 is the first version of pandas that is generally
compatible with the upcoming numpy 2.0 release, and wheels for
pandas 2.2.2 will work with both numpy 1.x and 2.x. One major
caveat is that arrays created with numpy 2.0’s new StringDtype
will convert to object dtyped arrays upon Series/DataFrame
creation. Full support for numpy 2.0’s StringDtype is expected
to land in pandas 3.0.
* As usual please report any bugs discovered to our issue tracker
[#]# Fixed regressions
* DataFrame.__dataframe__() was producing incorrect data buffers
when the a column’s type was a pandas nullable on with missing
values (GH 56702)
* DataFrame.__dataframe__() was producing incorrect data buffers
when the a column’s type was a pyarrow nullable on with missing
values (GH 57664)
* Avoid issuing a spurious DeprecationWarning when a custom
DataFrame or Series subclass method is called (GH 57553)
* Fixed regression in precision of to_datetime() with string and
unit input (GH 57051)
[#]# Bug fixes
* DataFrame.__dataframe__() was producing incorrect data buffers
when the column’s type was nullable boolean (GH 55332)
* DataFrame.__dataframe__() was showing bytemask instead of
bitmask for 'string[pyarrow]' validity buffer (GH 57762)
* DataFrame.__dataframe__() was showing non-null validity buffer
(instead of None) 'string[pyarrow]' without missing values (GH
57761)
* DataFrame.to_sql() was failing to find the right table when
using the schema argument (GH 57539)
- Remove obsolete python39 multibuild
- Add pandas-pr58269-pyarrow16xpass.patch
gh#pandas-dev/pandas#58269
* Mon Mar 04 2024 Ben Greiner <code@bnavigator.de>
- No xarrary for python 3.9 anymore: Remove from pandas[all] and
exclude pandas[computation]. Reenable testing to check it.
It will be skipped automatically when python39 is dropped from
Tumbleweed globally.
- Fix 15.x build: requires newer compiler
- Fix 15.x test skips: sle15_python_module_pythons needs to be
declared earlier
* Fri Feb 23 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 06 2024 Dirk Müller <dmueller@suse.com>
- enable py312 testing, remove py39 testing
* Fri Jan 12 2024 pgajdos@suse.com
- have a possibility to not use pyarrow [bsc#1218592]
* Wed Dec 13 2023 Ben Greiner <code@bnavigator.de>
- Update to 2.1.4
[#]# Fixed regressions
* Fixed regression when trying to read a pickled pandas DataFrame
from pandas 1.3 (GH 55137)
[#]# Bug fixes
* Bug in Series constructor raising DeprecationWarning when index
is a list of Series (GH 55228)
* Bug in Series when trying to cast date-like string inputs to
ArrowDtype of pyarrow.timestamp (GH 56266)
* Bug in DataFrame.apply() where passing raw=True ignored args
passed to the applied function (GH 55753)
* Bug in Index.__getitem__() returning wrong result for Arrow
dtypes and negative stepsize (GH 55832)
* Fixed bug in to_numeric() converting to extension dtype for
string[pyarrow_numpy] dtype (GH 56179)
* Fixed bug in DataFrameGroupBy.min() and DataFrameGroupBy.max()
not preserving extension dtype for empty object (GH 55619)
* Fixed bug in DataFrame.__setitem__() casting Index with
object-dtype to PyArrow backed strings when infer_string option
is set (GH 55638)
* Fixed bug in DataFrame.to_hdf() raising when columns have
StringDtype (GH 55088)
* Fixed bug in Index.insert() casting object-dtype to PyArrow
backed strings when infer_string option is set (GH 55638)
* Fixed bug in Series.__ne__() resulting in False for comparison
between NA and string value for dtype="string[pyarrow_numpy]"
(GH 56122)
* Fixed bug in Series.mode() not keeping object dtype when
infer_string is set (GH 56183)
* Fixed bug in Series.reset_index() not preserving object dtype
when infer_string is set (GH 56160)
* Fixed bug in Series.str.split() and Series.str.rsplit() when
pat=None for ArrowDtype with pyarrow.string (GH 56271)
* Fixed bug in Series.str.translate() losing object dtype when
string option is set (GH 56152)
- Go back to Cython0, it has NOT been unpinned by upstream released
version
* https://github.com/pandas-dev/pandas/blob/v2.1.4/pyproject.toml#L8
* See also gh#jsonpickle/jsonpickle#460
* Fri Dec 01 2023 Steve Kowalik <steven.kowalik@suse.com>
- Update to 2.1.3:
* Reverted deprecation of fill_method=None in DataFrame.pct_change(),
Series.pct_change(), DataFrameGroupBy.pct_change(), and
SeriesGroupBy.pct_change(); the values 'backfill', 'bfill', 'pad', and
'ffill' are still deprecated
* Fixed regressions
+ Fixed infinite recursion from operations that return a new object on
some DataFrame subclasses
+ Fixed regression in DataFrame.join() where result has missing values
and dtype is arrow backed string
+ Fixed regression in rolling() where non-nanosecond index or on column
would produce incorrect results
+ Fixed regression in DataFrame.resample() which was extrapolating back
to origin when origin was outside its bounds
+ Fixed regression in DataFrame.sort_index() which was not sorting
correctly when the index was a sliced MultiIndex
+ Fixed regression in DataFrameGroupBy.agg() and SeriesGroupBy.agg()
where if the option compute.use_numba was set to True, groupby methods
not supported by the numba engine would raise a TypeError
+ Fixed performance regression with wide DataFrames, typically
involving methods where all columns were accessed individually
+ Fixed regression in merge_asof() raising TypeError for by with
datetime and timedelta dtypes
+ Fixed regression in read_parquet() when reading a file with a string
column consisting of more than 2 GB of string data and using the
"string" dtype
+ Fixed regression in DataFrame.to_sql() not roundtripping datetime
columns correctly for sqlite when using detect_types
+ Fixed regression in construction of certain DataFrame or Series
subclasses
* Bug fixes
+ Bug in DatetimeIndex.diff() raising TypeError
+ Bug in Index.isin() raising for Arrow backed string and None value
+ Fix read_parquet() and read_feather() for CVE-2023-47248
+ Fixed bug in DataFrameGroupBy reductions not preserving object dtype
when infer_string is set
+ Fixed bug in SeriesGroupBy.value_counts() returning incorrect dtype for
string columns
+ Fixed bug in Categorical.equals() if other has arrow backed string dtype
+ Fixed bug in DataFrame.__setitem__() not inferring string dtype for
zero-dimensional array with infer_string=True
+ Fixed bug in DataFrame.idxmin() and DataFrame.idxmax() raising for
arrow dtypes
+ Fixed bug in DataFrame.interpolate() raising incorrect error message
+ Fixed bug in Index.insert() raising when inserting None into Index with
dtype="string[pyarrow_numpy]"
+ Fixed bug in Series.all() and Series.any() not treating missing values
correctly for dtype="string[pyarrow_numpy]"
+ Fixed bug in Series.floordiv() for ArrowDtype
+ Fixed bug in Series.mode() not sorting values for arrow backed string
dtype
+ Fixed bug in Series.rank() for string[pyarrow_numpy] dtype
+ Fixed bug in Series.str.extractall() for ArrowDtype dtype being
converted to object
+ Fixed bug where PDEP-6 warning about setting an item of an
incompatible dtype was being shown when creating a new conditional
column
+ Silence Period[B] warnings introduced by GH 53446 during normal
plotting activity
+ Fixed bug in Series constructor not inferring string dtype when NA is
the first value and infer_string is set
- Prepare for Python 3.12, include the flavor check.
- Unpin Cython, upstream has moved onto 3.
* Sat Oct 14 2023 Bernhard Wiedemann <bwiedemann@suse.com>
- Fix random build failures
* Sat Oct 07 2023 Ben Greiner <code@bnavigator.de>
- Update to 2.1.1
[#]# Fixed regressions
* Fixed regression in concat() when DataFrame ‘s have two
different extension dtypes (GH 54848)
* Fixed regression in merge() when merging over a PyArrow string
index (GH 54894)
* Fixed regression in read_csv() when usecols is given and dtypes
is a dict for engine="python" (GH 54868)
* Fixed regression in read_csv() when delim_whitespace is True
(GH 54918, GH 54931)
* Fixed regression in GroupBy.get_group() raising for axis=1 (GH
54858)
* Fixed regression in DataFrame.__setitem__() raising
AssertionError when setting a Series with a partial MultiIndex
(GH 54875)
* Fixed regression in DataFrame.filter() not respecting the order
of elements for filter (GH 54980)
* Fixed regression in DataFrame.to_sql() not roundtripping
datetime columns correctly for sqlite (GH 54877)
* Fixed regression in DataFrameGroupBy.agg() when aggregating a
DataFrame with duplicate column names using a dictionary (GH
55006)
* Fixed regression in MultiIndex.append() raising when appending
overlapping IntervalIndex levels (GH 54934)
* Fixed regression in Series.drop_duplicates() for PyArrow
strings (GH 54904)
* Fixed regression in Series.interpolate() raising when
fill_value was given (GH 54920)
* Fixed regression in Series.value_counts() raising for numeric
data if bins was specified (GH 54857)
* Fixed regression in comparison operations for PyArrow backed
columns not propagating exceptions correctly (GH 54944)
* Fixed regression when comparing a Series with datetime64 dtype
with None (GH 54870)
[#]# Bug fixes
* Fixed bug for ArrowDtype raising NotImplementedError for
fixed-size list (GH 55000)
* Fixed bug in DataFrame.stack() with future_stack=True and
columns a non-MultiIndex consisting of tuples (GH 54948)
* Fixed bug in Series.dt.tz() with ArrowDtype where a string was
returned instead of a tzinfo object (GH 55003)
* Fixed bug in Series.pct_change() and DataFrame.pct_change()
showing unnecessary FutureWarning (GH 54981)
[#]# Other
* Reverted the deprecation that disallowed Series.apply()
returning a DataFrame when the passed-in callable returns a
Series object (GH 52116)
- Drop pandas-pr55073-pyarrow13.patch merged upstream
* Sun Sep 10 2023 Ben Greiner <code@bnavigator.de>
- Fix test failures with pyarrow 13
* Add pandas-pr55073-pyarrow13.patch
* gh#pandas-dev/pandas#55073
* gh#pandas-dev/pandas#55048
* gh#pandas-dev/pandas#55020
* Tue Sep 05 2023 Ben Greiner <code@bnavigator.de>
- Use git cloned archive gh#pandas-dev/pandas#54907
* Thu Aug 31 2023 Ben Greiner <code@bnavigator.de>
- Update to 2.1.0
* https://pandas.pydata.org/pandas-docs/version/2.1.0/whatsnew/v2.1.0.html
* Avoid NumPy object dtype for strings by default
* DataFrame reductions preserve extension dtypes
* Copy-on-Write improvements
* New DataFrame.map() method and support for ExtensionArrays
* New implementation of DataFrame.stack()
* Other minor enhancements (see link above)
[#]# Backwards incompatible API changes
* pandas 2.1.0 supports Python 3.9 and higher
* Increased minimum versions for numpy 1.22.3 and some optional
dependencies
* arrays.PandasArray has been renamed NumpyExtensionArray and the
attached dtype name changed from PandasDtype to NumpyEADtype;
importing PandasArray still works until the next major version
(GH 53694)
[#]# Deprecations
* Deprecated silent upcasting in setitem-like Series operations
* Deprecated parsing datetimes with mixed time zones
* Other Deprecation (see link above)
[#]# More
* Performance Improvements (see link above)
* Bug fixes (see linkl above)
- Switch to meson build system
* Sun Aug 13 2023 Dirk Müller <dmueller@suse.com>
- update to 2.0.3:
* Bug in Timestamp.weekday`() was returning incorrect results
before '0000-02-29'
* Fixed performance regression in merging on datetime-like columns
* Fixed regression when DataFrame.to_string() creates extra space
for string dtypes
* Bug in DataFrame.convert_dtype() and Series.convert_dtype()
when trying to convert ArrowDtype with dtype_backend="nullable_numpy"
* Bug in RangeIndex.union() when using sort=True with another
RangeIndex
* Bug in Series.reindex() when expanding a non-nanosecond datetime
or timedelta
* Bug in read_csv() when defining dtype with bool[pyarrow] for
the "c" and "python" engines
* Bug in Series.str.split() and Series.str.rsplit() with expand=True
* Bug in indexing methods (e.g. DataFrame.__getitem__()) where
taking the entire DataFrame/Series would raise an OverflowError
when Copy on Write was enabled the length of the array was over
the maximum size a 32-bit integer can hold
* Bug when constructing a DataFrame with columns of an ArrowDtype
with a pyarrow.dictionary type that reindexes the data
* Bug when indexing a DataFrame or Series with an Index with a
timestamp ArrowDtype would raise an AttributeError
- drop pandas-fix-tests.patch (upstream)
* Thu Jun 22 2023 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Fix tests on aarch64:
* pandas-fix-tests.patch
* Sun Jun 11 2023 Johannes Kastl <kastl@b1-systems.de>
- do not use %elif for python-numpy dependency condition
* Wed Jun 07 2023 Ben Greiner <code@bnavigator.de>
- Increase minimum memory constraints for tests
* Sat May 27 2023 Ben Greiner <code@bnavigator.de>
- 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)
* Bug in DataFrame.convert_dtypes() ignores convert_* keywords
when set to False dtype_backend="pyarrow" (GH52872)
* Bug in DataFrame.convert_dtypes() losing timezone for tz-aware
dtypes and dtype_backend="pyarrow" (GH53382)
* Bug in DataFrame.sort_values() raising for PyArrow dictionary
dtype (GH53232)
* Bug in Series.describe() treating pyarrow-backed timestamps and
timedeltas as categorical data (GH53001)
* Bug in Series.rename() not making a lazy copy when
Copy-on-Write is enabled when a scalar is passed to it
(GH52450)
* Bug in pd.array() raising for NumPy array and pa.large_string
or pa.large_binary (GH52590)
* Bug in DataFrame.__getitem__() not preserving dtypes for
MultiIndex partial keys (GH51895)
[#]# Other
* Raised a better error message when calling
Series.dt.to_pydatetime() with ArrowDtype with pyarrow.date32
or pyarrow.date64 type (GH52812)
- Release to 2.0.1
[#]# Fixed regressions
* Fixed regression for subclassed Series when constructing from a
dictionary (GH52445)
* Fixed regression in SeriesGroupBy.agg() failing when grouping
with categorical data, multiple groupings, as_index=False, and
a list of aggregations (GH52760)
* Fixed regression in DataFrame.pivot() changing Index name of
input object (GH52629)
* Fixed regression in DataFrame.resample() raising on a DataFrame
with no columns (GH52484)
* Fixed regression in DataFrame.sort_values() not resetting index
when DataFrame is already sorted and ignore_index=True
(GH52553)
* Fixed regression in MultiIndex.isin() raising TypeError for
Generator (GH52568)
* Fixed regression in Series.describe() showing RuntimeWarning
for extension dtype Series with one element (GH52515)
* Fixed regression when adding a new column to a DataFrame when
the DataFrame.columns was a RangeIndex and the new key was
hashable but not a scalar (GH52652)
[#]# Bug fixes
* Bug in Series.dt.days that would overflow int32 number of days
(GH52391)
* Bug in arrays.DatetimeArray constructor returning an incorrect
unit when passed a non-nanosecond numpy datetime array
(GH52555)
* Bug in ArrowExtensionArray with duration dtype overflowing when
constructed from data containing numpy NaT (GH52843)
* Bug in Series.dt.round() when passing a freq of equal or higher
resolution compared to the Series would raise a
ZeroDivisionError (GH52761)
* Bug in Series.median() with ArrowDtype returning an approximate
median (GH52679)
* Bug in api.interchange.from_dataframe() was unnecessarily
raising on categorical dtypes (GH49889)
* Bug in api.interchange.from_dataframe() was unnecessarily
raising on large string dtypes (GH52795)
* Bug in pandas.testing.assert_series_equal() where
check_dtype=False would still raise for datetime or timedelta
types with different resolutions (GH52449)
* Bug in read_csv() casting PyArrow datetimes to NumPy when
dtype_backend="pyarrow" and parse_dates is set causing a
performance bottleneck in the process (GH52546)
* Bug in to_datetime() and to_timedelta() when trying to convert
numeric data with a ArrowDtype (GH52425)
* Bug in to_numeric() with errors='coerce' and
dtype_backend='pyarrow' with ArrowDtype data (GH52588)
* Bug in ArrowDtype.__from_arrow__() not respecting if dtype is
explicitly given (GH52533)
* Bug in DataFrame.describe() not respecting ArrowDtype in
include and exclude (GH52570)
* Bug in DataFrame.max() and related casting different Timestamp
resolutions always to nanoseconds (GH52524)
* Bug in Series.describe() not returning ArrowDtype with
pyarrow.float64 type with numeric data (GH52427)
* Bug in Series.dt.tz_localize() incorrectly localizing
timestamps with ArrowDtype (GH52677)
* Bug in arithmetic between np.datetime64 and np.timedelta64 NaT
scalars with units always returning nanosecond resolution
(GH52295)
* Bug in logical and comparison operations between ArrowDtype and
numpy masked types (e.g. "boolean") (GH52625)
* Fixed bug in merge() when merging with ArrowDtype one one and a
NumPy dtype on the other side (GH52406)
* Fixed segfault in Series.to_numpy() with null[pyarrow] dtype
(GH52443)
[#]# Other
* DataFrame created from empty dicts had columns of dtype object.
It is now a RangeIndex (GH52404)
* Series created from empty dicts had index of dtype object. It
is now a RangeIndex (GH52404)
* Implemented Series.str.split() and Series.str.rsplit() for
ArrowDtype with pyarrow.string (GH52401)
* Implemented most str accessor methods for ArrowDtype with
pyarrow.string (GH52401)
* Supplying a non-integer hashable key that tests False in
api.types.is_scalar() now raises a KeyError for
RangeIndex.get_loc(), like it does for Index.get_loc().
Previously it raised an InvalidIndexError (GH52652).
- Release to 2.0.0
[#]# Enhancements
* Installing optional dependencies with pip extras
* Index can now hold numpy numeric dtypes
* Argument dtype_backend , to return pyarrow-backed or
numpy-backed nullable dtypes
* Copy-on-Write improvements
* Other enhancements, see
https://pandas.pydata.org/pandas-docs/version/2.0.2/whatsnew/v2.0.0.html#other-enhancements
[#]# Notable bug fixes
* DataFrameGroupBy.cumsum() and DataFrameGroupBy.cumprod()
overflow instead of lossy casting to float
* DataFrameGroupBy.nth() and SeriesGroupBy.nth() now behave as
filtrations
[#]# Backwards incompatible API changes
* Construction with datetime64 or timedelta64 dtype with
unsupported resolution
* Value counts sets the resulting name to count
* Disallow astype conversion to non-supported
datetime64/timedelta64 dtypes
* UTC and fixed-offset timezones default to standard-library
tzinfo objects
* Empty DataFrames/Series will now default to have a RangeIndex
* DataFrame to LaTeX has a new render engine
* Increased minimum versions for dependencies
* Datetimes are now parsed with a consistent format
* Other API changes, see
https://pandas.pydata.org/pandas-docs/version/2.0.2/whatsnew/v2.0.0.html#other-api-changes
[#]# Deprecations
[#]# Removal of prior version deprecations/changes
[#]# Performance improvements
[#]# Bug fixes
- Drop python38 test flavor and start testing python311 which has
been missing since.
* Mon May 08 2023 Johannes Kastl <kastl@b1-systems.de>
- add sle15_python_module_pythons
* Wed Feb 08 2023 Arun Persaud <arun@gmx.de>
- specfile:
* update copyright year
* remove pandas-pr49886-fix-numpy-deprecations.patch, implemented upstreams
- update to version 1.5.3:
* Fixed regressions
+ Fixed performance regression in Series.isin() when values is
empty (GH49839)
+ Fixed regression in DataFrame.memory_usage() showing unnecessary
FutureWarning when DataFrame is empty (GH50066)
+ Fixed regression in DataFrameGroupBy.transform() when used with
as_index=False (GH49834)
+ Enforced reversion of color as an alias for c and size as an
alias for s in function DataFrame.plot.scatter() (GH49732)
+ Fixed regression in SeriesGroupBy.apply() setting a name
attribute on the result if the result was a DataFrame (GH49907)
+ Fixed performance regression in setting with the at() indexer
(GH49771)
+ Fixed regression in the methods apply, agg, and transform when
used with NumPy functions that informed users to supply
numeric_only=True if the operation failed on non-numeric dtypes;
such columns must be dropped prior to using these methods
(GH50538)
+ Fixed regression in to_datetime() raising ValueError when
parsing array of float containing np.nan (GH50237)
* Bug fixes
+ Bug in the Copy-on-Write implementation losing track of views
when indexing a DataFrame with another DataFrame (GH50630)
+ Bug in Styler.to_excel() leading to error when unrecognized
border-style (e.g. "hair") provided to Excel writers (GH48649)
+ Bug in Series.quantile() emitting warning from NumPy when Series
has only NA values (GH50681)
+ Bug when chaining several Styler.concat() calls, only the last
styler was concatenated (GH49207)
+ Fixed bug when instantiating a DataFrame subclass inheriting
from typing.Generic that triggered a UserWarning on python 3.11
(GH49649)
+ Bug in pivot_table() with NumPy 1.24 or greater when the
DataFrame columns has nested elements (GH50342)
+ Bug in pandas.testing.assert_series_equal() (and equivalent
assert_ functions) when having nested data and using numpy >=
1.25 (GH50360)
* Other
+ Note: If you are using DataFrame.to_sql(), read_sql(),
read_sql_table(), or read_sql_query() with SQLAlchemy 1.4.46 or
greater, you may see a sqlalchemy.exc.RemovedIn20Warning. These
warnings can be safely ignored for the SQLAlchemy 1.4.x releases
as pandas works toward compatibility with SQLAlchemy 2.0.
+ Reverted deprecation (GH45324) of behavior of
Series.__getitem__() and Series.__setitem__() slicing with an
integer Index; this will remain positional (GH49612)
+ A FutureWarning raised when attempting to set values inplace
with DataFrame.loc() or DataFrame.iloc() has been changed to a
DeprecationWarning (GH48673)
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