forked from pool/python-pandas
Matej Cepl
aab0b4e004
- 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