* 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
- Change skipped tests to also support Python 3.13.
- Skip two tests that fail with Numpy 2.1.
- Prepare for Python 3.13, by skipping it if we aren't building for it.
- enable py312 testing, remove py39 testing
RangeIndex
the "c" and "python" engines
* Bug in Series.str.split() and Series.str.rsplit() with expand=True
(GH42915)
* Fixed regression in DataFrame.groupby.rolling.cov() and
* The deprecated attributes _AXIS_NAMES and _AXIS_NUMBERS of
* Bumped minimum fastparquet version to 0.4.0 to avoid
* Bumped minimum pymysql version to 0.8.1 to avoid test failures
* Added reference to backwards incompatible check_freq arg of
testing.assert_frame_equal() and testing.assert_series_equal()
* WARNING:
no longer maintained. The xlrd package is now only for reading
Previously, the default argument engine=None to read_excel()
would result in using the xlrd engine in many cases, including
new Excel 2007+ (.xlsx) files. If openpyxl is installed, many
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=148
* 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)
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=146
- 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
OBS-URL: https://build.opensuse.org/request/show/1204936
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=131
- 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
OBS-URL: https://build.opensuse.org/request/show/1171775
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=114
- Update to 2.2.1
## Enhancements
* Added pyarrow pip extra so users can install pandas and pyarrow
with pip with pip install pandas[pyarrow] (#54466)
## Fixed regressions
* Fixed memory leak in `read_csv` (#57039)
* Fixed performance regression in `Series.combine_first` (#55845)
* Fixed regression causing overflow for near-minimum timestamps
(#57150)
* Fixed regression in `concat` changing long-standing behavior
that always sorted the non-concatenation axis when the axis was
a `DatetimeIndex` (#57006)
* Fixed regression in `merge_ordered` raising TypeError for
fill_method="ffill" and how="left" (#57010)
* Fixed regression in `pandas.testing.assert_series_equal`
defaulting to check_exact=True when checking the `Index`
(#57067)
* Fixed regression in `read_json` where an `Index` would be
returned instead of a `RangeIndex` (#57429)
* Fixed regression in `wide_to_long` raising an AttributeError
for string columns (#57066)
* Fixed regression in `.DataFrameGroupBy.idxmin`,
`.DataFrameGroupBy.idxmax`, `.SeriesGroupBy.idxmin`,
`.SeriesGroupBy.idxmax` ignoring the skipna argument (#57040)
* Fixed regression in `.DataFrameGroupBy.idxmin`,
`.DataFrameGroupBy.idxmax`, `.SeriesGroupBy.idxmin`,
`.SeriesGroupBy.idxmax` where values containing the minimum or
maximum value for the dtype could produce incorrect results
(#57040)
* Fixed regression in `CategoricalIndex.difference` raising
KeyError when other contains null values other than NaN
(#57318)
* Fixed regression in `DataFrame.groupby` raising ValueError when
grouping by a `Series` in some cases (#57276)
* Fixed regression in `DataFrame.loc` raising IndexError for
non-unique, masked dtype indexes where result has more than
10,000 rows (#57027)
* Fixed regression in `DataFrame.loc` which was unnecessarily
throwing "incompatible dtype warning" when expanding with
partial row indexer and multiple columns (see PDEP6) (#56503)
* Fixed regression in `DataFrame.map` with na_action="ignore" not
being respected for NumPy nullable and `ArrowDtypes` (#57316)
* Fixed regression in `DataFrame.merge` raising ValueError for
certain types of 3rd-party extension arrays (#57316)
* Fixed regression in `DataFrame.query` with all NaT column with
object dtype (#57068)
* Fixed regression in `DataFrame.shift` raising AssertionError
for axis=1 and empty `DataFrame` (#57301)
* Fixed regression in `DataFrame.sort_index` not producing a
stable sort for a index with duplicates (#57151)
* Fixed regression in `DataFrame.to_dict` with orient='list' and
datetime or timedelta types returning integers (#54824)
* Fixed regression in `DataFrame.to_json` converting nullable
integers to floats (#57224)
* Fixed regression in `DataFrame.to_sql` when method="multi" is
passed and the dialect type is not Oracle (#57310)
* Fixed regression in `DataFrame.transpose` with nullable
extension dtypes not having F-contiguous data potentially
causing exceptions when used (#57315)
* Fixed regression in `DataFrame.update` emitting incorrect
warnings about downcasting (#57124)
* Fixed regression in `DataFrameGroupBy.idxmin`,
`DataFrameGroupBy.idxmax`, `SeriesGroupBy.idxmin`,
`SeriesGroupBy.idxmax` ignoring the skipna argument (#57040)
* Fixed regression in `DataFrameGroupBy.idxmin`,
`DataFrameGroupBy.idxmax`, `SeriesGroupBy.idxmin`,
`SeriesGroupBy.idxmax` where values containing the minimum or
maximum value for the dtype could produce incorrect results
(#57040)
* Fixed regression in `ExtensionArray.to_numpy` raising for
non-numeric masked dtypes (#56991)
* Fixed regression in `Index.join` raising TypeError when joining
an empty index to a non-empty index containing mixed dtype
values (#57048)
* Fixed regression in `Series.astype` introducing decimals when
converting from integer with missing values to string dtype
(#57418)
* Fixed regression in `Series.pct_change` raising a ValueError
for an empty `Series` (#57056)
* Fixed regression in `Series.to_numpy` when dtype is given as
float and the data contains NaNs (#57121)
* Fixed regression in addition or subtraction of `DateOffset`
objects with millisecond components to datetime64 `Index`,
`Series`, or `DataFrame` (#57529)
## Bug fixes
* Fixed bug in `pandas.api.interchange.from_dataframe` which was
raising for Nullable integers (#55069)
* Fixed bug in `pandas.api.interchange.from_dataframe` which was
raising for empty inputs (#56700)
* Fixed bug in `pandas.api.interchange.from_dataframe` which
wasn't converting columns names to strings (#55069)
* Fixed bug in `DataFrame.__getitem__` for empty `DataFrame` with
Copy-on-Write enabled (#57130)
* Fixed bug in `PeriodIndex.asfreq` which was silently converting
frequencies which are not supported as period frequencies
instead of raising an error (#56945)
## Note
* The DeprecationWarning that was raised when pandas was imported
without PyArrow being installed has been removed. This decision
was made because the warning was too noisy for too many users
and a lot of feedback was collected about the decision to make
PyArrow a required dependency. Pandas is currently considering
the decision whether or not PyArrow should be added as a hard
dependency in 3.0. Interested users can follow the discussion
here.
* Added the argument skipna to `DataFrameGroupBy.first`,
`DataFrameGroupBy.last`, `SeriesGroupBy.first`, and
`SeriesGroupBy.last`; achieving skipna=False used to be
available via `DataFrameGroupBy.nth`, but the behavior was
changed in pandas 2.0.0 (#57019)
* Added the argument skipna to `Resampler.first`,
`Resampler.last` (#57019)
- Release notes for 2.2.0
* For full changelog see
https://github.com/pandas-dev/pandas/blob/main/doc/source/whatsnew/v2.2.0.rst
## Enhancements
* ADBC Driver support in to_sql and read_sql
* Create a pandas Series based on one or more conditions
* to_numpy for NumPy nullable and Arrow types converts to
suitable NumPy dtype
* Series.struct accessor for PyArrow structured data
* Series.list accessor for PyArrow list data
* Calamine engine for `read_excel`
## Notable bug fixes
* `merge` and `DataFrame.join` now consistently follow documented
sort behavior
* `merge` and `DataFrame.join` no longer reorder levels when
levels differ
* Increased minimum versions for dependencies
## Deprecations
* Chained assignment
* Deprecate aliases M, Q, Y, etc. in favour of ME, QE, YE, etc.
for offsets
* Deprecated automatic downcasting
- Simplify flavor test setup: obs can evaluate %{shrink:} now
OBS-URL: https://build.opensuse.org/request/show/1152058
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=110
- 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
OBS-URL: https://build.opensuse.org/request/show/1133481
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=104
* 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
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=102
- 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
OBS-URL: https://build.opensuse.org/request/show/1116287
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=98
- Use git cloned archive gh#pandas-dev/pandas#54907
- 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
OBS-URL: https://build.opensuse.org/request/show/1109356
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=94
* 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)
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=92
- 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
- Update to version 1.5.2
## Fixed regressions
* Fixed regression in MultiIndex.join() for extension array
dtypes (GH49277)
* Fixed regression in Series.replace() raising RecursionError
with numeric dtype and when specifying value=None (GH45725)
* Fixed regression in arithmetic operations for DataFrame with
MultiIndex columns with different dtypes (GH49769)
* Fixed regression in DataFrame.plot() preventing Colormap
instance from being passed using the colormap argument if
Matplotlib 3.6+ is used (GH49374)
* Fixed regression in date_range() returning an invalid set of
periods for CustomBusinessDay frequency and start date with
timezone (GH49441)
* Fixed performance regression in groupby operations (GH49676)
* Fixed regression in Timedelta constructor returning object of
wrong type when subclassing Timedelta (GH49579)
## Bug fixes
* Bug in the Copy-on-Write implementation losing track of views
in certain chained indexing cases (GH48996)
* Fixed memory leak in Styler.to_excel() (GH49751)
## Other
* Reverted color as an alias for c and size as an alias for s in
function DataFrame.plot.scatter() (GH49732)
- Add pandas-pr49886-fix-numpy-deprecations.patch
* gh#pandas-dev/pandas#49887
- Move to PEP518 build
OBS-URL: https://build.opensuse.org/request/show/1045082
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=78
- Update to version 1.4.0
* https://pandas.pydata.org/docs/whatsnew/v1.4.0.html
* Enhancements
- Improved warning messages
- Index can hold arbitrary ExtensionArrays
- Enhancements in Styler
- Multi-threaded CSV reading with a new CSV Engine based on
pyarrow
- Rank function for rolling and expanding windows
- Groupby positional indexing
- DataFrame.from_dict and DataFrame.to_dict have new 'tight'
option
* Notable bug fixes
- Inconsistent date string parsing
- Ignoring dtypes in concat with empty or all-NA columns
- Null-values are no longer coerced to NaN-value in
value_counts and mode
- mangle_dupe_cols in read_csv no longer renames unique columns
conflicting with target names
- unstack and pivot_table no longer raises ValueError for
result that would exceed int32 limit
- groupby.apply consistent transform detection
* API changes
- Index.get_indexer_for() no longer accepts keyword arguments
(other than target); in the past these would be silently
ignored if the index was not unique (GH42310)
- Change in the position of the min_rows argument in
DataFrame.to_string() due to change in the docstring
(GH44304)
- Reduction operations for DataFrame or Series now raising a
ValueError when None is passed for skipna (GH44178)
- read_csv() and read_html() no longer raising an error when
one of the header rows consists only of Unnamed: columns
(GH13054)
- Changed the name attribute of several holidays in
USFederalHolidayCalendar to match official federal holiday
names.
* Deprecations
- Deprecated Int64Index, UInt64Index & Float64Index
- Deprecated Frame.append and Series.append
- Split out test runs into separate flavors, optimize memory usage
in pytest-xdist runs
OBS-URL: https://build.opensuse.org/request/show/948450
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=67
- Update to version 1.3.5
* Fixed regression in Series.equals() when comparing floats with
dtype object to None (GH44190)
* Fixed regression in merge_asof() raising error when array was
supplied as join key (GH42844)
* Fixed regression when resampling DataFrame with DateTimeIndex
with empty groups and uint8, uint16 or uint32 columns
incorrectly raising RuntimeError (GH43329)
* Fixed regression in creating a DataFrame from a timezone-aware
Timestamp scalar near a Daylight Savings Time transition
(GH42505)
* Fixed performance regression in read_csv() (GH44106)
* Fixed regression in Series.duplicated() and
Series.drop_duplicates() when Series has Categorical dtype with
boolean categories (GH44351)
* Fixed regression in GroupBy.sum() with timedelta64[ns] dtype
containing NaT failing to treat that value as NA (GH42659)
* Fixed regression in RollingGroupby.cov() and
RollingGroupby.corr() when other had the same shape as each
group would incorrectly return superfluous groups in the result
(GH42915)
OBS-URL: https://build.opensuse.org/request/show/943876
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=66
- Update to version 1.3.4
* Fixed regression in DataFrame.convert_dtypes() incorrectly
converts byte strings to strings (GH43183)
* Fixed regression in GroupBy.agg() where it was failing
silently with mixed data types along axis=1 and MultiIndex (GH43209)
* Fixed regression in merge() with integer and NaN keys
failing with outer merge (GH43550)
* Fixed regression in DataFrame.corr() raising ValueError with
method="spearman" on 32-bit platforms (GH43588)
* Fixed performance regression in MultiIndex.equals() (GH43549)
* Fixed performance regression in GroupBy.first() and GroupBy.last()
with StringDtype (GH41596)
* Fixed regression in Series.cat.reorder_categories() failing to
update the categories on the Series (GH43232)
* Fixed regression in Series.cat.categories() setter failing to
update the categories on the Series (GH43334)
* Fixed regression in read_csv() raising UnicodeDecodeError exception
when memory_map=True (GH43540)
* Fixed regression in DataFrame.explode() raising AssertionError
when column is any scalar which is not a string (GH43314)
* Fixed regression in Series.aggregate() attempting to pass args
and kwargs multiple times to the user supplied func in certain cases (GH43357)
* Fixed regression when iterating over a DataFrame.groupby.rolling
object causing the resulting DataFrames to have an incorrect index if the input groupings were not sorted (GH43386)
* Fixed regression in DataFrame.groupby.rolling.cov() and
DataFrame.groupby.rolling.corr() computing incorrect results if the
input groupings were not sorted (GH43386)
* Fixed bug in pandas.DataFrame.groupby.rolling() and
pandas.api.indexers.FixedForwardWindowIndexer leading to
segfaults and window endpoints being mixed across groups (GH43267)
* Fixed bug in GroupBy.mean() with datetimelike values
including NaT values returning incorrect results (GH43132)
* Fixed bug in Series.aggregate() not passing the first args
to the user supplied func in certain cases (GH43357)
* Fixed memory leaks in Series.rolling.quantile() and
Series.rolling.median() (GH43339)
OBS-URL: https://build.opensuse.org/request/show/926551
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=65
- Update to version 1.3.3
* Fixed regression in DataFrame constructor failing to broadcast
for defined Index and len one list of Timestamp (GH42810)
* Fixed regression in GroupBy.agg() incorrectly raising in some
cases (GH42390)
* Fixed regression in GroupBy.apply() where nan values were
dropped even with dropna=False (GH43205)
* Fixed regression in GroupBy.quantile() which was failing with
pandas.NA (GH42849)
* Fixed regression in merge() where on columns with
ExtensionDtype or bool data types were cast to object in right
and outer merge (GH40073)
* Fixed regression in RangeIndex.where() and RangeIndex.putmask()
raising AssertionError when result did not represent a
RangeIndex (GH43240)
* Fixed regression in read_parquet() where the fastparquet engine
would not work properly with fastparquet 0.7.0 (GH43075)
* Fixed regression in DataFrame.loc.__setitem__() raising
ValueError when setting array as cell value (GH43422)
* Fixed regression in is_list_like() where objects with __iter__
set to None would be identified as iterable (GH43373)
* Fixed regression in DataFrame.__getitem__() raising error for
slice of DatetimeIndex when index is non monotonic (GH43223)
* Fixed regression in Resampler.aggregate() when used after
column selection would raise if func is a list of aggregation
functions (GH42905)
* Fixed regression in DataFrame.corr() where Kendall correlation
would produce incorrect results for columns with repeated
values (GH43401)
* Fixed regression in DataFrame.groupby() where aggregation on
columns with object types dropped results on those columns
(GH42395, GH43108)
* Fixed regression in Series.fillna() raising TypeError when
filling float Series with list-like fill value having a dtype
which couldn’t cast lostlessly (like float32 filled with
float64) (GH43424)
* Fixed regression in read_csv() raising AttributeError when the
file handle is an tempfile.SpooledTemporaryFile object
(GH43439)
* Fixed performance regression in core.window.ewm.
ExponentialMovingWindow.mean() (GH42333)
* Performance improvement for DataFrame.__setitem__() when the
key or value is not a DataFrame, or key is not list-like
(GH43274)
* Fixed bug in DataFrameGroupBy.agg() and DataFrameGroupBy.
transform() with engine="numba" where index data was not being
correctly passed into func (GH43133)
- Release 1.3.2
* Performance regression in DataFrame.isin() and Series.isin()
for nullable data types (GH42714)
* Regression in updating values of Series using boolean index,
created by using DataFrame.pop() (GH42530)
* Regression in DataFrame.from_records() with empty records
(GH42456)
* Fixed regression in DataFrame.shift() where TypeError occurred
when shifting DataFrame created by concatenation of slices and
fills with values (GH42719)
* Regression in DataFrame.agg() when the func argument returned
lists and axis=1 (GH42727)
* Regression in DataFrame.drop() does nothing if MultiIndex has
duplicates and indexer is a tuple or list of tuples (GH42771)
* Fixed regression where read_csv() raised a ValueError when
parameters names and prefix were both set to None (GH42387)
* Fixed regression in comparisons between Timestamp object and
datetime64 objects outside the implementation bounds for
nanosecond datetime64 (GH42794)
* Fixed regression in Styler.highlight_min() and Styler.
highlight_max() where pandas.NA was not successfully ignored
(GH42650)
* Fixed regression in concat() where copy=False was not honored
in axis=1 Series concatenation (GH42501)
* Regression in Series.nlargest() and Series.nsmallest() with
nullable integer or float dtype (GH42816)
* Fixed regression in Series.quantile() with Int64Dtype (GH42626)
* Fixed regression in Series.groupby() and DataFrame.groupby()
where supplying the by argument with a Series named with a
tuple would incorrectly raise (GH42731)
* Bug in read_excel() modifies the dtypes dictionary when reading
a file with duplicate columns (GH42462)
* 1D slices over extension types turn into N-dimensional slices
over ExtensionArrays (GH42430)
* Fixed bug in Series.rolling() and DataFrame.rolling() not
calculating window bounds correctly for the first row when
center=True and window is an offset that covers all the rows
(GH42753)
* Styler.hide_columns() now hides the index name header row as
well as column headers (GH42101)
* Styler.set_sticky() has amended CSS to control the column/index
names and ensure the correct sticky positions (GH42537)
* Bug in de-serializing datetime indexes in PYTHONOPTIMIZED mode
(GH42866)
OBS-URL: https://build.opensuse.org/request/show/920383
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=64
