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Revisions of python-pandas

Matej Cepl (mcepl) committed 2 days ago (revision 116)

- Skip build on Python 3.10 ... too many dependencies are missing.

buildservice-autocommit accepted request 1172106 from

Dirk Mueller (dirkmueller) 5 days ago (revision 115)

baserev update by copy to link target

Dirk Mueller (dirkmueller) accepted request 1171775 from

Benjamin Greiner (bnavigator) 6 days ago (revision 114)

- 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

buildservice-autocommit accepted request 1155222 from

Markéta Machová (mcalabkova) 2 months ago (revision 113)

baserev update by copy to link target

Markéta Machová (mcalabkova) accepted request 1155210 from

Benjamin Greiner (bnavigator) 2 months ago (revision 112)

- 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

buildservice-autocommit accepted request 1152290 from

Markéta Machová (mcalabkova) 2 months ago (revision 111)

baserev update by copy to link target

Markéta Machová (mcalabkova) accepted request 1152058 from

Benjamin Greiner (bnavigator) 2 months ago (revision 110)

- 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

buildservice-autocommit accepted request 1144848 from

Dirk Mueller (dirkmueller) 3 months ago (revision 109)

baserev update by copy to link target

Dirk Mueller (dirkmueller) committed 3 months ago (revision 108)

- enable py312 testing, remove py39 testing

buildservice-autocommit accepted request 1138851 from

Markéta Machová (mcalabkova) 4 months ago (revision 107)

baserev update by copy to link target

Markéta Machová (mcalabkova) accepted request 1138785 from

Petr Gajdos (pgajdos) 4 months ago (revision 106)

- have a possibility to not use pyarrow [bsc#1218592]

buildservice-autocommit accepted request 1133624 from

Dirk Mueller (dirkmueller) 5 months ago (revision 105)

baserev update by copy to link target

Dirk Mueller (dirkmueller) accepted request 1133481 from

Benjamin Greiner (bnavigator) 5 months ago (revision 104)

- 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

buildservice-autocommit accepted request 1130126 from

Steve Kowalik (StevenK) 5 months ago (revision 103)

baserev update by copy to link target

Steve Kowalik (StevenK) committed 5 months ago (revision 102)

- 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

buildservice-autocommit accepted request 1117788 from

Matej Cepl (mcepl) 7 months ago (revision 101)

baserev update by copy to link target

Matej Cepl (mcepl) accepted request 1117743 from

Bernhard Wiedemann (bmwiedemann) 7 months ago (revision 100)

Fix random build failures
when python3.9-config from the python39-devel package would be found first

buildservice-autocommit accepted request 1116350 from

Ondřej Súkup (mimi_vx) 7 months ago (revision 99)

baserev update by copy to link target

Ondřej Súkup (mimi_vx) accepted request 1116287 from

Benjamin Greiner (bnavigator) 7 months ago (revision 98)

- 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

buildservice-autocommit accepted request 1110188 from

Steve Kowalik (StevenK) 8 months ago (revision 97)

baserev update by copy to link target

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