Script 'mail_helper' called by obssrc Hello community, here is the log from the commit of package python-pandas for openSUSE:Factory checked in at 2023-06-06 19:55:36 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/python-pandas (Old) and /work/SRC/openSUSE:Factory/.python-pandas.new.15902 (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-pandas" Tue Jun 6 19:55:36 2023 rev:49 rq:1090940 version:2.0.2 Changes: -------- --- /work/SRC/openSUSE:Factory/python-pandas/python-pandas.changes 2023-05-09 13:07:43.877161488 +0200 +++ /work/SRC/openSUSE:Factory/.python-pandas.new.15902/python-pandas.changes 2023-06-06 19:56:29.718557231 +0200 @@ -1,0 +2,167 @@ +Sat May 27 13:18:13 UTC 2023 - Ben Greiner <c...@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 doesnât 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 + DataFrameâs 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 âAMâ / âPMâ 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. + +------------------------------------------------------------------- Old: ---- pandas-1.5.3.tar.gz New: ---- pandas-2.0.2-gh.tar.gz ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ python-pandas.spec ++++++ ++++ 626 lines (skipped) ++++ between /work/SRC/openSUSE:Factory/python-pandas/python-pandas.spec ++++ and /work/SRC/openSUSE:Factory/.python-pandas.new.15902/python-pandas.spec ++++++ _multibuild ++++++ --- /var/tmp/diff_new_pack.LlqiE6/_old 2023-06-06 19:56:30.630562638 +0200 +++ /var/tmp/diff_new_pack.LlqiE6/_new 2023-06-06 19:56:30.634562662 +0200 @@ -1,6 +1,6 @@ <multibuild> - <package>test-py38</package> <package>test-py39</package> <package>test-py310</package> + <package>test-py311</package> </multibuild>
