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| Name: python39-pandas-output_formatting | Distribution: openSUSE:Factory:zSystems |
| Version: 2.1.4 | Vendor: openSUSE |
| Release: 2.1 | Build date: Sat Jan 20 09:07:47 2024 |
| Group: Unspecified | Build host: s390zl2a |
| Size: 13171 | Source RPM: python-pandas-2.1.4-2.1.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://pandas.pydata.org/ | |
| Summary: The python pandas[output_formatting] extra | |
This package provides the [output_formatting] extra for python-pandas
BSD-3-Clause
* 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)
* Fri Dec 23 2022 Ben Greiner <code@bnavigator.de>
- 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
* Sat Oct 22 2022 Arun Persaud <arun@gmx.de>
- update to version 1.5.1:
* Fixed regressions
+ Fixed Regression in Series.__setitem__() casting None to NaN for
object dtype (GH48665)
+ Fixed Regression in DataFrame.loc() when setting values as a
DataFrame with all True indexer (GH48701)
+ Regression in read_csv() causing an EmptyDataError when using an
UTF-8 file handle that was already read from (GH48646)
+ Regression in to_datetime() when utc=True and arg contained
timezone naive and aware arguments raised a ValueError (GH48678)
+ Fixed regression in DataFrame.loc() raising FutureWarning when
setting an empty DataFrame (GH48480)
+ Fixed regression in DataFrame.describe() raising TypeError when
result contains NA (GH48778)
+ Fixed regression in DataFrame.plot() ignoring invalid colormap
for kind="scatter" (GH48726)
+ Fixed regression in MultiIndex.values`() resetting freq
attribute of underlying Index object (GH49054)
+ Fixed performance regression in factorize() when na_sentinel is
not None and sort=False (GH48620)
+ Fixed regression causing an AttributeError during warning
emitted if the provided table name in DataFrame.to_sql() and the
table name actually used in the database do not match (GH48733)
+ Fixed regression in to_datetime() when arg was a date string
with nanosecond and format contained %f would raise a ValueError
(GH48767)
+ Fixed regression in assert_frame_equal() raising for MultiIndex
with Categorical and check_like=True (GH48975)
+ Fixed regression in DataFrame.fillna() replacing wrong values
for datetime64[ns] dtype and inplace=True (GH48863)
+ Fixed DataFrameGroupBy.size() not returning a Series when axis=1
(GH48738)
+ Fixed Regression in DataFrameGroupBy.apply() when user defined
function is called on an empty dataframe (GH47985)
+ Fixed regression in DataFrame.apply() when passing non-zero axis
via keyword argument (GH48656)
+ Fixed regression in Series.groupby() and DataFrame.groupby()
when the grouper is a nullable data type (e.g. Int64) or a
PyArrow-backed string array, contains null values, and
dropna=False (GH48794)
+ Fixed performance regression in Series.isin() with mismatching
dtypes (GH49162)
+ Fixed regression in DataFrame.to_parquet() raising when file
name was specified as bytes (GH48944)
+ Fixed regression in ExcelWriter where the book attribute could
no longer be set; however setting this attribute is now
deprecated and this ability will be removed in a future version
of pandas (GH48780)
+ Fixed regression in DataFrame.corrwith() when computing
correlation on tied data with method="spearman" (GH48826)
* Bug fixes
+ Bug in Series.__getitem__() not falling back to positional for
integer keys and boolean Index (GH48653)
+ Bug in DataFrame.to_hdf() raising AssertionError with boolean
index (GH48667)
+ Bug in assert_index_equal() for extension arrays with non
matching NA raising ValueError (GH48608)
+ Bug in DataFrame.pivot_table() raising unexpected FutureWarning
when setting datetime column as index (GH48683)
+ Bug in DataFrame.sort_values() emitting unnecessary
FutureWarning when called on DataFrame with boolean sparse
columns (GH48784)
+ Bug in arrays.ArrowExtensionArray with a comparison operator to
an invalid object would not raise a NotImplementedError
(GH48833)
* Other
+ Avoid showing deprecated signatures when introspecting functions
with warnings about arguments becoming keyword-only (GH48692)
* Mon Sep 19 2022 Arun Persaud <arun@gmx.de>
- specfile:
* update required versions
- update to version 1.5.0:
* long changelog, full version available at
https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.5.0.html#
* Sat Sep 10 2022 Arun Persaud <arun@gmx.de>
- specfile:
* update required version
- update to version 1.4.4:
* Fixed regressions
+ Fixed regression in DataFrame.fillna() not working on a
DataFrame with a MultiIndex (GH47649)
+ Fixed regression in taking NULL objects from a DataFrame causing
a segmentation violation. These NULL values are created by
numpy.empty_like() (GH46848)
+ Fixed regression in concat() materializing the Index during
sorting even if the Index was already sorted (GH47501)
+ Fixed regression in concat() or merge() handling of all-NaN
ExtensionArrays with custom attributes (GH47762)
+ Fixed regression in calling bitwise numpy ufuncs (for example,
np.bitwise_and) on Index objects (GH46769)
+ Fixed regression in cut() when using a datetime64 IntervalIndex
as bins (GH46218)
+ Fixed regression in DataFrame.select_dtypes() where
include="number" included BooleanDtype (GH46870)
+ Fixed regression in DataFrame.loc() raising error when indexing
with a NamedTuple (GH48124)
+ Fixed regression in DataFrame.loc() not updating the cache
correctly after values were set (GH47867)
+ Fixed regression in DataFrame.loc() not aligning index in some
cases when setting a DataFrame (GH47578)
+ Fixed regression in DataFrame.loc() setting a length-1 array
like value to a single value in the DataFrame (GH46268)
+ Fixed regression when slicing with DataFrame.loc() with
DatetimeIndex with a DateOffset object for its freq (GH46671)
+ Fixed regression in setting None or non-string value into a
string-dtype Series using a mask (GH47628)
+ Fixed regression in updating a DataFrame column through Series
__setitem__ (using chained assignment) not updating column
values inplace and using too much memory (GH47172)
+ Fixed regression in DataFrame.select_dtypes() returning a view
on the original DataFrame (GH48090)
+ Fixed regression using custom Index subclasses (for example,
used in xarray) with reset_index() or Index.insert() (GH47071)
+ Fixed regression in intersection() when the DatetimeIndex has
dates crossing daylight savings time (GH46702)
+ Fixed regression in merge() throwing an error when passing a
Series with a multi-level name (GH47946)
+ Fixed regression in DataFrame.eval() creating a copy when
updating inplace (GH47449)
+ Fixed regression where getting a row using DataFrame.iloc() with
SparseDtype would raise (GH46406)
* Bug fixes
+ The FutureWarning raised when passing arguments (other than
filepath_or_buffer) as positional in read_csv() is now raised at
the correct stacklevel (GH47385)
+ Bug in DataFrame.to_sql() when method was a callable that did
not return an int and would raise a TypeError (GH46891)
+ Bug in DataFrameGroupBy.value_counts() where subset had no
effect (GH46383)
+ Bug when getting values with DataFrame.loc() with a list of keys
causing an internal inconsistency that could lead to a
disconnect between frame.at[x, y] vs frame[y].loc[x] (GH22372)
+ Bug in the Series.dt.strftime() accessor return a float instead
of object dtype Series for all-NaT input, which also causes a
spurious deprecation warning (GH45858)
* Other
+ The minimum version of Cython needed to compile pandas is now
0.29.32 (GH47978)
* Sat Jul 09 2022 Arun Persaud <arun@gmx.de>
- update to version 1.4.3:
* Behavior of concat with empty or all-NA DataFrame columns
The behavior change in version 1.4.0 to stop ignoring the data
type of empty or all-NA columns with float or object dtype in
concat() (Ignoring dtypes in concat with empty or all-NA columns)
has been reverted (GH45637).
* Fixed regressions
+ Fixed regression in DataFrame.replace() when the replacement value
was explicitly None when passed in a dictionary to to_replace also
casting other columns to object dtype even when there were no
values to replace (GH46634)
+ Fixed regression in DataFrame.to_csv() raising error when
DataFrame contains extension dtype categorical column (GH46297,
GH46812)
+ Fixed regression in representation of dtypes attribute of
MultiIndex (GH46900)
+ Fixed regression when setting values with DataFrame.loc() updating
RangeIndex when index was set as new column and column was updated
afterwards (GH47128)
+ Fixed regression in DataFrame.fillna() and DataFrame.update()
creating a copy when updating inplace (GH47188)
+ Fixed regression in DataFrame.nsmallest() led to wrong results
when the sorting column has np.nan values (GH46589)
+ Fixed regression in read_fwf() raising ValueError when widths was
specified with usecols (GH46580)
+ Fixed regression in concat() not sorting columns for mixed column
names (GH47127)
+ Fixed regression in Groupby.transform() and Groupby.agg() failing
with engine="numba" when the index was a MultiIndex (GH46867)
+ Fixed regression in NaN comparison for Index operations where the
same object was compared (GH47105)
+ Fixed regression is Styler.to_latex() and Styler.to_html() where
buf failed in combination with encoding (GH47053)
+ Fixed regression in read_csv() with index_col=False identifying
first row as index names when header=None (GH46955)
+ Fixed regression in DataFrameGroupBy.agg() when used with
list-likes or dict-likes and axis=1 that would give incorrect
results; now raises NotImplementedError (GH46995)
+ Fixed regression in DataFrame.resample() and DataFrame.rolling()
when used with list-likes or dict-likes and axis=1 that would
raise an unintuitive error message; now raises NotImplementedError
(GH46904)
+ Fixed regression in testing.assert_index_equal() when
check_order=False and Index has extension or object dtype
(GH47207)
+ Fixed regression in read_excel() returning ints as floats on
certain input sheets (GH46988)
+ Fixed regression in DataFrame.shift() when axis is columns and
fill_value is absent, freq is ignored (GH47039)
+ Fixed regression in DataFrame.to_json() causing a segmentation
violation when DataFrame is created with an index parameter of the
type PeriodIndex (GH46683)
* Bug fixes
+ Bug in pandas.eval(), DataFrame.eval() and DataFrame.query()
where passing empty local_dict or global_dict was treated as
passing None (GH47084)
+ Most I/O methods no longer suppress OSError and ValueError when
closing file handles (GH47136)
* Other
+ The minimum version of Cython needed to compile pandas is now
0.29.30 (GH41935)
* Tue Apr 05 2022 Ben Greiner <code@bnavigator.de>
- Update to version 1.4.2
* Fixed regression in DataFrame.drop() and Series.drop() when
Index had extension dtype and duplicates (GH45860)
* Fixed regression in read_csv() killing python process when
invalid file input was given for engine="c" (GH45957)
* Fixed memory performance regression in Series.fillna() when
called on a DataFrame column with inplace=True (GH46149)
* Provided an alternative solution for passing custom Excel
formats in Styler.to_excel(), which was a regression based on
stricter CSS validation. Examples available in the
documentation for Styler.format() (GH46152)
* Fixed regression in DataFrame.replace() when a replacement
value was also a target for replacement (GH46306)
* Fixed regression in DataFrame.replace() when the replacement
value was explicitly None when passed in a dictionary to
to_replace (GH45601, GH45836)
* Fixed regression when setting values with DataFrame.loc()
losing MultiIndex names if DataFrame was empty before (GH46317)
* Fixed regression when rendering boolean datatype columns with
Styler() (GH46384)
* Fixed regression in Groupby.rolling() with a frequency window
that would raise a ValueError even if the datetimes within each
group were monotonic (GH46061)
* Fix some cases for subclasses that define their _constructor
properties as general callables (GH46018)
* Fixed “longtable” formatting in Styler.to_latex() when
column_format is given in extended format (GH46037)
* Fixed incorrect rendering in Styler.format() with
hyperlinks="html" when the url contains a colon or other
special characters (GH46389)
* Improved error message in Rolling when window is a frequency
and NaT is in the rolling axis (GH46087)
- Copy back the installed package into the source tree
* mimics upstreams test setup of an editable install
* avoids conftest.py collection errors with pytest 7
* Sat Feb 12 2022 Arun Persaud <arun@gmx.de>
- update to version 1.4.1:
* Fixed regressions
+ Regression in Series.mask() with inplace=True and PeriodDtype
and an incompatible other coercing to a common dtype instead of
raising (GH45546)
+ Regression in assert_frame_equal() not respecting
check_flags=False (GH45554)
+ Regression in DataFrame.loc() raising ValueError when indexing
(getting values) on a MultiIndex with one level (GH45779)
+ Regression in Series.fillna() with downcast=False incorrectly
downcasting object dtype (GH45603)
+ Regression in api.types.is_bool_dtype() raising an
AttributeError when evaluating a categorical Series (GH45615)
+ Regression in DataFrame.iat() setting values leading to not
propagating correctly in subsequent lookups (GH45684)
+ Regression when setting values with DataFrame.loc() losing Index
name if DataFrame was empty before (GH45621)
+ Regression in join() with overlapping IntervalIndex raising an
InvalidIndexError (GH45661)
+ Regression when setting values with Series.loc() raising with
all False indexer and Series on the right hand side (GH45778)
+ Regression in read_sql() with a DBAPI2 connection that is not an
instance of sqlite3.Connection incorrectly requiring SQLAlchemy
be installed (GH45660)
+ Regression in DateOffset when constructing with an integer
argument with no keywords (e.g. pd.DateOffset(n)) would behave
like datetime.timedelta(days=0) (GH45643, GH45890)
* Bug fixes
+ Fixed segfault in DataFrame.to_json() when dumping tz-aware
datetimes in Python 3.10 (GH42130)
+ Stopped emitting unnecessary FutureWarning in
DataFrame.sort_values() with sparse columns (GH45618)
+ Fixed window aggregations in DataFrame.rolling() and
Series.rolling() to skip over unused elements (GH45647)
+ Fixed builtin highlighters in Styler to be responsive to NA with
nullable dtypes (GH45804)
+ Bug in apply() with axis=1 raising an erroneous ValueError
(GH45912)
* Other
+ Reverted performance speedup of DataFrame.corr() for
method=pearson to fix precision regression (GH45640, GH42761)
* Tue Jan 25 2022 Ben Greiner <code@bnavigator.de>
- Skip more tests on non-intel architectures
boo#1167730
* Sun Jan 23 2022 Ben Greiner <code@bnavigator.de>
- 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
* Tue Jan 04 2022 Ben Greiner <code@bnavigator.de>
- 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)
* Wed Oct 20 2021 Guillaume GARDET <guillaume.gardet@opensuse.org>
- 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)
* Mon Sep 20 2021 Ben Greiner <code@bnavigator.de>
- 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)
* Tue Aug 17 2021 Fabian Vogt <fvogt@suse.com>
- Drop suggests of python-numba (pulls in LLVM10) and python-QtPy
(pulls in Qt3D, python-qt5 is enough) to make the TW DVD fit again
* Thu Aug 12 2021 Ben Greiner <code@bnavigator.de>
- Update to version 1.3.1
Fixed regressions
* Pandas could not be built on PyPy (GH42355)
* DataFrame constructed with an older version of pandas could not
be unpickled (GH42345)
* Performance regression in constructing a DataFrame from a
dictionary of dictionaries (GH42248)
* Fixed regression in DataFrame.agg() dropping values when the
DataFrame had an Extension Array dtype, a duplicate index, and
axis=1 (GH42380)
* Fixed regression in DataFrame.astype() changing the order of
noncontiguous data (GH42396)
* Performance regression in DataFrame in reduction operations
requiring casting such as DataFrame.mean() on integer data
(GH38592)
* Performance regression in DataFrame.to_dict() and Series.to_dict
() when orient argument one of “records”, “dict”, or “split”
(GH42352)
* Fixed regression in indexing with a list subclass incorrectly
raising TypeError (GH42433, GH42461)
* Fixed regression in DataFrame.isin() and Series.isin() raising
TypeError with nullable data containing at least one missing
value (GH42405)
* Regression in concat() between objects with bool dtype and
integer dtype casting to object instead of to integer (GH42092)
* Bug in Series constructor not accepting a dask.Array (GH38645)
* Fixed regression for SettingWithCopyWarning displaying
incorrect stacklevel (GH42570)
* Fixed regression for merge_asof() raising KeyError when one of
the by columns is in the index (GH34488)
* Fixed regression in to_datetime() returning pd.NaT for inputs
that produce duplicated values, when cache=True (GH42259)
* Fixed regression in SeriesGroupBy.value_counts() that resulted
in an IndexError when called on a Series with one row (GH42618)
* Fixed bug in DataFrame.transpose() dropping values when the
DataFrame had an Extension Array dtype and a duplicate index
(GH42380)
* Fixed bug in DataFrame.to_xml() raising KeyError when called
with index=False and an offset index (GH42458)
* Fixed bug in Styler.set_sticky() not handling index names
correctly for single index columns case (GH42537)
* Fixed bug in DataFrame.copy() failing to consolidate blocks in
the result (GH42579)
* Thu Jul 22 2021 Arun Persaud <arun@gmx.de>
- specfile:
* update requirements
* README.rst ->README.md
- update to version 1.3.0:
* long changelog, see https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.3.0.html
- changes from version 1.2.5:
* Fixed regression in concat() between two DataFrame where one has
an Index that is all-None and the other is DatetimeIndex
incorrectly raising (GH40841)
* Fixed regression in DataFrame.sum() and DataFrame.prod() when
min_count and numeric_only are both given (GH41074)
* Fixed regression in read_csv() when using memory_map=True with an
non-UTF8 encoding (GH40986)
* Fixed regression in DataFrame.replace() and Series.replace() when
the values to replace is a NumPy float array (GH40371)
* Fixed regression in ExcelFile() when a corrupt file is opened but
not closed (GH41778)
* Fixed regression in DataFrame.astype() with dtype=str failing to
convert NaN in categorical columns (GH41797)
- Unpack some files required for testing
* Mon May 03 2021 Arun Persaud <arun@gmx.de>
- update to version 1.2.4:
* Fixed regressions
+ Fixed regression in DataFrame.sum() when min_count greater than
the DataFrame shape was passed resulted in a ValueError
(GH39738)
+ Fixed regression in DataFrame.to_json() raising AttributeError
when run on PyPy (GH39837)
+ Fixed regression in (in)equality comparison of pd.NaT with a
non-datetimelike numpy array returning a scalar instead of an
array (GH40722)
+ Fixed regression in DataFrame.where() not returning a copy in
the case of an all True condition (GH39595)
+ Fixed regression in DataFrame.replace() raising IndexError when
regex was a multi-key dictionary (GH39338)
+ Fixed regression in repr of floats in an object column not
respecting float_format when printed in the console or outputted
through DataFrame.to_string(), DataFrame.to_html(), and
DataFrame.to_latex() (GH40024)
+ Fixed regression in NumPy ufuncs such as np.add not passing
through all arguments for DataFrame (GH40662)
* Wed Mar 03 2021 Arun Persaud <arun@gmx.de>
- update to version 1.2.3:
* Fixed regressions
+ Fixed regression in to_excel() raising KeyError when giving
duplicate columns with columns attribute (GH39695)
+ Fixed regression in nullable integer unary ops propagating mask
on assignment (GH39943)
+ Fixed regression in DataFrame.__setitem__() not aligning
DataFrame on right-hand side for boolean indexer (GH39931)
+ Fixed regression in to_json() failing to use compression with
URL-like paths that are internally opened in binary mode or with
user-provided file objects that are opened in binary mode
(GH39985)
+ Fixed regression in Series.sort_index() and
DataFrame.sort_index(), which exited with an ungraceful error
when having kwarg ascending=None passed. Passing ascending=None
is still considered invalid, and the improved error message
suggests a proper usage (ascending must be a boolean or a
list-like of boolean) (GH39434)
+ Fixed regression in DataFrame.transform() and Series.transform()
giving incorrect column labels when passed a dictionary with a
mix of list and non-list values (GH40018)
* Sun Feb 14 2021 Ben Greiner <code@bnavigator.de>
- Update to version 1.2.2
* https://pandas.pydata.org/docs/whatsnew/v1.2.2.html
* fixed regressions and bugfixes
- Update to version 1.2.1
* https://pandas.pydata.org/docs/whatsnew/v1.2.1.html
* fixed regressions and bugfixes
* Calling NumPy ufuncs on non-aligned DataFrames
* The deprecated attributes _AXIS_NAMES and _AXIS_NUMBERS of
DataFrame and Series will no longer show up in dir or inspect.
getmembers calls (GH38740)
* Bumped minimum fastparquet version to 0.4.0 to avoid
AttributeError from numba (GH38344)
* Bumped minimum pymysql version to 0.8.1 to avoid test failures
(GH38344)
* Added reference to backwards incompatible check_freq arg of
testing.assert_frame_equal() and testing.assert_series_equal()
in pandas 1.1.0 whats new (GH34050)
- Update to version 1.2.0
* https://pandas.pydata.org/docs/whatsnew/v1.2.0.html
* WARNING:
The xlwt package for writing old-style .xls excel files is
no longer maintained. The xlrd package is now only for reading
old-style .xls files.
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
of these cases will now default to using the openpyxl engine.
See the read_excel() documentation for more details.
Thus, it is strongly encouraged to install openpyxl to read
Excel 2007+ (.xlsx) files. Please do not report issues when
using ``xlrd`` to read ``.xlsx`` files. This is no longer
supported, switch to using openpyxl instead.
Attempting to use the xlwt engine will raise a FutureWarning
unless the option io.excel.xls.writer is set to "xlwt". While
this option is now deprecated and will also raise a
FutureWarning, it can be globally set and the warning
suppressed. Users are recommended to write .xlsx files using
the openpyxl engine instead.
Enhancements
* Optionally disallow duplicate labels
* Passing arguments to fsspec backends
* Support for binary file handles in to_csv
* Support for short caption and table position in to_latex
* Change in default floating precision for read_csv and
read_table
* Experimental nullable data types for float data
* Index/column name preservation when aggregating
* GroupBy supports EWM operations directly
Deprecations
* https://pandas.pydata.org/docs/whatsnew/v1.2.0.html#deprecations
- Skip python36 build: New minimum supported Python is 3.7.1
- Only Suggest instead of Recommend optional dependencies. Nobody
wants to pull in all of those packages by default.
- Remove pandas-pytest.ini
- Rework test deselection
- Limit to 4 pytest-xdist workers, as collection consumes a lot of
memory
/usr/share/doc/packages/python39-pandas-output_formatting /usr/share/doc/packages/python39-pandas-output_formatting/README.md /usr/share/licenses/python39-pandas-output_formatting /usr/share/licenses/python39-pandas-output_formatting/LICENSE
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