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Hello community,
here is the log from the commit of package python-pandas for openSUSE:Factory
checked in at 2021-03-12 13:30:55
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-pandas (Old)
and /work/SRC/openSUSE:Factory/.python-pandas.new.2401 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-pandas"
Fri Mar 12 13:30:55 2021 rev:33 rq:877583 version:1.2.3
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-pandas/python-pandas.changes
2021-02-16 22:34:22.793488076 +0100
+++ /work/SRC/openSUSE:Factory/.python-pandas.new.2401/python-pandas.changes
2021-03-12 13:31:12.914148730 +0100
@@ -1,0 +2,25 @@
+Wed Mar 3 19:10:52 UTC 2021 - Arun Persaud <a...@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)
+
+-------------------------------------------------------------------
Old:
----
pandas-1.2.2.tar.gz
New:
----
pandas-1.2.3.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-pandas.spec ++++++
--- /var/tmp/diff_new_pack.AcWSsw/_old 2021-03-12 13:31:13.494149543 +0100
+++ /var/tmp/diff_new_pack.AcWSsw/_new 2021-03-12 13:31:13.498149549 +0100
@@ -28,7 +28,7 @@
%bcond_with test
%endif
Name: python-pandas%{psuffix}
-Version: 1.2.2
+Version: 1.2.3
Release: 0
Summary: Python data structures for data analysis, time series, and
statistics
License: BSD-3-Clause
@@ -49,15 +49,19 @@
Requires: python-numpy >= 1.16.5
Requires: python-python-dateutil >= 2.7.3
Requires: python-pytz >= 2017.3
-Recommends: python-numexpr >= 2.6.8
Recommends: python-Bottleneck >= 1.2.1
+Recommends: python-numexpr >= 2.6.8
+Suggests: python-Jinja2 >= 2.10
+Suggests: python-PyMySQL >= 0.8.1
+Suggests: python-QtPy
+Suggests: python-SQLAlchemy >= 1.3.0
+Suggests: python-XlsxWriter >= 1.0.2
Suggests: python-beautifulsoup4 >= 4.6.0
Suggests: python-blosc >= 1.17.0
Suggests: python-fastparquet >= 0.4.0
Suggests: python-fsspec >= 0.7.4
Suggests: python-gcsfs >= 0.6.0
Suggests: python-html5lib >= 1.0.1
-Suggests: python-Jinja2 >= 2.10
Suggests: python-lxml >= 4.3.0
Suggests: python-matplotlib >= 2.2.3
Suggests: python-numba >= 0.46.0
@@ -65,19 +69,15 @@
Suggests: python-pandas-gbq >= 0.12.0
Suggests: python-psycopg2 >= 2.7
Suggests: python-pyarrow >= 0.15.0
-Suggests: python-PyMySQL >= 0.8.1
Suggests: python-pyreadstat
Suggests: python-qt5
-Suggests: python-QtPy
Suggests: python-s3fs >= 0.4.0
Suggests: python-scipy >= 1.12.0
-Suggests: python-SQLAlchemy >= 1.3.0
Suggests: python-tables >= 3.5.1
Suggests: python-tabulate >= 0.8.3
Suggests: python-xarray >= 0.8.2
Suggests: python-xlrd >= 1.2.0
Suggests: python-xlsb >= 1.0.6
-Suggests: python-XlsxWriter >= 1.0.2
Suggests: python-zlib
Suggests: xclip
Suggests: xsel
++++++ pandas-1.2.2.tar.gz -> pandas-1.2.3.tar.gz ++++++
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/PKG-INFO new/pandas-1.2.3/PKG-INFO
--- old/pandas-1.2.2/PKG-INFO 2021-02-09 11:59:57.670000000 +0100
+++ new/pandas-1.2.3/PKG-INFO 2021-03-02 10:48:07.583455300 +0100
@@ -1,6 +1,6 @@
Metadata-Version: 2.1
Name: pandas
-Version: 1.2.2
+Version: 1.2.3
Summary: Powerful data structures for data analysis, time series, and
statistics
Home-page: https://pandas.pydata.org
Maintainer: The PyData Development Team
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/doc/source/conf.py
new/pandas-1.2.3/doc/source/conf.py
--- old/pandas-1.2.2/doc/source/conf.py 2021-02-09 11:55:18.000000000 +0100
+++ new/pandas-1.2.3/doc/source/conf.py 2021-03-02 10:43:35.000000000 +0100
@@ -409,7 +409,7 @@
if pattern is None:
intersphinx_mapping = {
"dateutil": ("https://dateutil.readthedocs.io/en/latest/";, None),
- "matplotlib": ("https://matplotlib.org/";, None),
+ "matplotlib": ("https://matplotlib.org/stable/";, None),
"numpy": ("https://numpy.org/doc/stable/";, None),
"pandas-gbq": ("https://pandas-gbq.readthedocs.io/en/latest/";, None),
"py": ("https://pylib.readthedocs.io/en/latest/";, None),
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/doc/source/user_guide/cookbook.rst
new/pandas-1.2.3/doc/source/user_guide/cookbook.rst
--- old/pandas-1.2.2/doc/source/user_guide/cookbook.rst 2021-02-09
11:55:18.000000000 +0100
+++ new/pandas-1.2.3/doc/source/user_guide/cookbook.rst 2021-03-02
10:43:35.000000000 +0100
@@ -1410,7 +1410,7 @@
corr_mat.where(mask)
-The ``method`` argument within ``DataFrame.corr`` can accept a callable in
addition to the named correlation types. Here we compute the ``distance
correlation <https://en.wikipedia.org/wiki/Distance_correlation>``__ matrix for
a ``DataFrame`` object.
+The ``method`` argument within ``DataFrame.corr`` can accept a callable in
addition to the named correlation types. Here we compute the `distance
correlation <https://en.wikipedia.org/wiki/Distance_correlation>`__ matrix for
a ``DataFrame`` object.
.. ipython:: python
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/doc/source/whatsnew/index.rst
new/pandas-1.2.3/doc/source/whatsnew/index.rst
--- old/pandas-1.2.2/doc/source/whatsnew/index.rst 2021-02-09
11:55:18.000000000 +0100
+++ new/pandas-1.2.3/doc/source/whatsnew/index.rst 2021-03-02
10:43:35.000000000 +0100
@@ -16,6 +16,7 @@
.. toctree::
:maxdepth: 2
+ v1.2.3
v1.2.2
v1.2.1
v1.2.0
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/doc/source/whatsnew/v1.2.2.rst
new/pandas-1.2.3/doc/source/whatsnew/v1.2.2.rst
--- old/pandas-1.2.2/doc/source/whatsnew/v1.2.2.rst 2021-02-09
11:38:51.000000000 +0100
+++ new/pandas-1.2.3/doc/source/whatsnew/v1.2.2.rst 2021-03-02
10:42:13.000000000 +0100
@@ -46,4 +46,4 @@
Contributors
~~~~~~~~~~~~
-.. contributors:: v1.2.1..v1.2.2|HEAD
+.. contributors:: v1.2.1..v1.2.2
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/doc/source/whatsnew/v1.2.3.rst
new/pandas-1.2.3/doc/source/whatsnew/v1.2.3.rst
--- old/pandas-1.2.2/doc/source/whatsnew/v1.2.3.rst 1970-01-01
01:00:00.000000000 +0100
+++ new/pandas-1.2.3/doc/source/whatsnew/v1.2.3.rst 2021-03-02
10:42:13.000000000 +0100
@@ -0,0 +1,32 @@
+.. _whatsnew_123:
+
+What's new in 1.2.3 (March 02, 2021)
+------------------------------------
+
+These are the changes in pandas 1.2.3. See :ref:`release` for a full changelog
+including other versions of pandas.
+
+{{ header }}
+
+.. ---------------------------------------------------------------------------
+
+.. _whatsnew_123.regressions:
+
+Fixed regressions
+~~~~~~~~~~~~~~~~~
+
+- Fixed regression in :meth:`~DataFrame.to_excel` raising ``KeyError`` when
giving duplicate columns with ``columns`` attribute (:issue:`39695`)
+- Fixed regression in nullable integer unary ops propagating mask on
assignment (:issue:`39943`)
+- Fixed regression in :meth:`DataFrame.__setitem__` not aligning
:class:`DataFrame` on right-hand side for boolean indexer (:issue:`39931`)
+- Fixed regression in :meth:`~DataFrame.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
(:issue:`39985`)
+- Fixed regression in :meth:`Series.sort_index` and
:meth:`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) (:issue:`39434`)
+- Fixed regression in :meth:`DataFrame.transform` and :meth:`Series.transform`
giving incorrect column labels when passed a dictionary with a mix of list and
non-list values (:issue:`40018`)
+
+.. ---------------------------------------------------------------------------
+
+.. _whatsnew_123.contributors:
+
+Contributors
+~~~~~~~~~~~~
+
+.. contributors:: v1.2.2..v1.2.3|HEAD
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/_version.py
new/pandas-1.2.3/pandas/_version.py
--- old/pandas-1.2.2/pandas/_version.py 2021-02-09 11:59:57.670000000 +0100
+++ new/pandas-1.2.3/pandas/_version.py 2021-03-02 10:48:07.583455300 +0100
@@ -8,11 +8,11 @@
version_json = '''
{
- "date": "2021-02-09T10:55:19+0000",
+ "date": "2021-03-02T09:43:36+0000",
"dirty": false,
"error": null,
- "full-revisionid": "7d32926db8f7541c356066dcadabf854487738de",
- "version": "1.2.2"
+ "full-revisionid": "f2c8480af2f25efdbd803218b9d87980f416563e",
+ "version": "1.2.3"
}
''' # END VERSION_JSON
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/core/aggregation.py
new/pandas-1.2.3/pandas/core/aggregation.py
--- old/pandas-1.2.2/pandas/core/aggregation.py 2021-02-09 11:55:18.000000000
+0100
+++ new/pandas-1.2.3/pandas/core/aggregation.py 2021-03-02 10:43:35.000000000
+0100
@@ -491,6 +491,22 @@
# GH 15931 - deprecation of renaming keys
raise SpecificationError("nested renamer is not supported")
+ is_aggregator = lambda x: isinstance(x, (list, tuple, dict))
+
+ # if we have a dict of any non-scalars
+ # eg. {'A' : ['mean']}, normalize all to
+ # be list-likes
+ # Cannot use func.values() because arg may be a Series
+ if any(is_aggregator(x) for _, x in func.items()):
+ new_func: AggFuncTypeDict = {}
+ for k, v in func.items():
+ if not is_aggregator(v):
+ # mypy can't realize v is not a list here
+ new_func[k] = [v] # type:ignore[list-item]
+ else:
+ new_func[k] = v
+ func = new_func
+
results: Dict[Label, FrameOrSeriesUnion] = {}
for name, how in func.items():
colg = obj._gotitem(name, ndim=1)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/core/arrays/integer.py
new/pandas-1.2.3/pandas/core/arrays/integer.py
--- old/pandas-1.2.2/pandas/core/arrays/integer.py 2021-02-09
11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/core/arrays/integer.py 2021-03-02
10:43:35.000000000 +0100
@@ -348,13 +348,13 @@
super().__init__(values, mask, copy=copy)
def __neg__(self):
- return type(self)(-self._data, self._mask)
+ return type(self)(-self._data, self._mask.copy())
def __pos__(self):
return self
def __abs__(self):
- return type(self)(np.abs(self._data), self._mask)
+ return type(self)(np.abs(self._data), self._mask.copy())
@classmethod
def _from_sequence(
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/core/arrays/masked.py
new/pandas-1.2.3/pandas/core/arrays/masked.py
--- old/pandas-1.2.2/pandas/core/arrays/masked.py 2021-02-09
11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/core/arrays/masked.py 2021-03-02
10:43:35.000000000 +0100
@@ -142,7 +142,7 @@
return len(self._data)
def __invert__(self: BaseMaskedArrayT) -> BaseMaskedArrayT:
- return type(self)(~self._data, self._mask)
+ return type(self)(~self._data, self._mask.copy())
def to_numpy(
self, dtype=None, copy: bool = False, na_value: Scalar = lib.no_default
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/core/frame.py
new/pandas-1.2.3/pandas/core/frame.py
--- old/pandas-1.2.2/pandas/core/frame.py 2021-02-09 11:55:18.000000000
+0100
+++ new/pandas-1.2.3/pandas/core/frame.py 2021-03-02 10:43:35.000000000
+0100
@@ -3179,6 +3179,9 @@
key = check_bool_indexer(self.index, key)
indexer = key.nonzero()[0]
self._check_setitem_copy()
+ if isinstance(value, DataFrame):
+ # GH#39931 reindex since iloc does not align
+ value = value.reindex(self.index.take(indexer))
self.iloc[indexer] = value
else:
if isinstance(value, DataFrame):
@@ -3951,8 +3954,8 @@
.. deprecated:: 1.2.0
DataFrame.lookup is deprecated,
use DataFrame.melt and DataFrame.loc instead.
- For an example see :meth:`~pandas.DataFrame.lookup`
- in the user guide.
+ For further details see
+ :ref:`Looking up values by index/column labels <indexing.lookup>`.
Parameters
----------
@@ -5479,7 +5482,7 @@
self,
axis=0,
level=None,
- ascending: bool = True,
+ ascending: Union[Union[bool, int], Sequence[Union[bool, int]]] = True,
inplace: bool = False,
kind: str = "quicksort",
na_position: str = "last",
@@ -5500,7 +5503,7 @@
and 1 identifies the columns.
level : int or level name or list of ints or list of level names
If not None, sort on values in specified index level(s).
- ascending : bool or list of bools, default True
+ ascending : bool or list-like of bools, default True
Sort ascending vs. descending. When the index is a MultiIndex the
sort direction can be controlled for each level individually.
inplace : bool, default False
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/core/generic.py
new/pandas-1.2.3/pandas/core/generic.py
--- old/pandas-1.2.2/pandas/core/generic.py 2021-02-09 11:55:18.000000000
+0100
+++ new/pandas-1.2.3/pandas/core/generic.py 2021-03-02 10:43:35.000000000
+0100
@@ -56,6 +56,7 @@
from pandas.errors import AbstractMethodError, InvalidIndexError
from pandas.util._decorators import doc, rewrite_axis_style_signature
from pandas.util._validators import (
+ validate_ascending,
validate_bool_kwarg,
validate_fillna_kwargs,
validate_percentile,
@@ -4518,7 +4519,7 @@
self,
axis=0,
level=None,
- ascending: bool_t = True,
+ ascending: Union[Union[bool_t, int], Sequence[Union[bool_t, int]]] =
True,
inplace: bool_t = False,
kind: str = "quicksort",
na_position: str = "last",
@@ -4529,6 +4530,8 @@
inplace = validate_bool_kwarg(inplace, "inplace")
axis = self._get_axis_number(axis)
+ ascending = validate_ascending(ascending)
+
target = self._get_axis(axis)
indexer = get_indexer_indexer(
@@ -6438,6 +6441,7 @@
return result.__finalize__(self, method="fillna")
@final
+ @doc(klass=_shared_doc_kwargs["klass"])
def ffill(
self: FrameOrSeries,
axis=None,
@@ -6460,6 +6464,7 @@
pad = ffill
@final
+ @doc(klass=_shared_doc_kwargs["klass"])
def bfill(
self: FrameOrSeries,
axis=None,
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/core/series.py
new/pandas-1.2.3/pandas/core/series.py
--- old/pandas-1.2.2/pandas/core/series.py 2021-02-09 11:55:18.000000000
+0100
+++ new/pandas-1.2.3/pandas/core/series.py 2021-03-02 10:43:35.000000000
+0100
@@ -12,9 +12,11 @@
Iterable,
List,
Optional,
+ Sequence,
Tuple,
Type,
Union,
+ cast,
)
import warnings
@@ -3065,7 +3067,7 @@
def sort_values(
self,
axis=0,
- ascending=True,
+ ascending: Union[Union[bool, int], Sequence[Union[bool, int]]] = True,
inplace: bool = False,
kind: str = "quicksort",
na_position: str = "last",
@@ -3083,7 +3085,7 @@
axis : {0 or 'index'}, default 0
Axis to direct sorting. The value 'index' is accepted for
compatibility with DataFrame.sort_values.
- ascending : bool, default True
+ ascending : bool or list of bools, default True
If True, sort values in ascending order, otherwise descending.
inplace : bool, default False
If True, perform operation in-place.
@@ -3243,6 +3245,7 @@
)
if is_list_like(ascending):
+ ascending = cast(Sequence[Union[bool, int]], ascending)
if len(ascending) != 1:
raise ValueError(
f"Length of ascending ({len(ascending)}) must be 1 for
Series"
@@ -3257,7 +3260,7 @@
# GH 35922. Make sorting stable by leveraging nargsort
values_to_sort = ensure_key_mapped(self, key)._values if key else
self._values
- sorted_index = nargsort(values_to_sort, kind, ascending, na_position)
+ sorted_index = nargsort(values_to_sort, kind, bool(ascending),
na_position)
result = self._constructor(
self._values[sorted_index], index=self.index[sorted_index]
@@ -3275,7 +3278,7 @@
self,
axis=0,
level=None,
- ascending: bool = True,
+ ascending: Union[Union[bool, int], Sequence[Union[bool, int]]] = True,
inplace: bool = False,
kind: str = "quicksort",
na_position: str = "last",
@@ -3295,7 +3298,7 @@
Axis to direct sorting. This can only be 0 for Series.
level : int, optional
If not None, sort on values in specified index level(s).
- ascending : bool or list of bools, default True
+ ascending : bool or list-like of bools, default True
Sort ascending vs. descending. When the index is a MultiIndex the
sort direction can be controlled for each level individually.
inplace : bool, default False
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/core/sorting.py
new/pandas-1.2.3/pandas/core/sorting.py
--- old/pandas-1.2.2/pandas/core/sorting.py 2021-02-09 11:55:18.000000000
+0100
+++ new/pandas-1.2.3/pandas/core/sorting.py 2021-03-02 10:43:35.000000000
+0100
@@ -8,6 +8,7 @@
Iterable,
List,
Optional,
+ Sequence,
Tuple,
Union,
)
@@ -39,7 +40,7 @@
def get_indexer_indexer(
target: "Index",
level: Union[str, int, List[str], List[int]],
- ascending: bool,
+ ascending: Union[Sequence[Union[bool, int]], Union[bool, int]],
kind: str,
na_position: str,
sort_remaining: bool,
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/io/clipboard/__init__.py
new/pandas-1.2.3/pandas/io/clipboard/__init__.py
--- old/pandas-1.2.2/pandas/io/clipboard/__init__.py 2021-02-09
11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/io/clipboard/__init__.py 2021-03-02
10:43:35.000000000 +0100
@@ -59,7 +59,7 @@
EXCEPT_MSG = """
Pyperclip could not find a copy/paste mechanism for your system.
For more information, please visit
-
https://pyperclip.readthedocs.io/en/latest/introduction.html#not-implemented-error
+ https://pyperclip.readthedocs.io/en/latest/#not-implemented-error
"""
ENCODING = "utf-8"
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/io/formats/excel.py
new/pandas-1.2.3/pandas/io/formats/excel.py
--- old/pandas-1.2.2/pandas/io/formats/excel.py 2021-02-09 11:55:18.000000000
+0100
+++ new/pandas-1.2.3/pandas/io/formats/excel.py 2021-03-02 10:43:35.000000000
+0100
@@ -465,7 +465,7 @@
if not len(Index(cols).intersection(df.columns)):
raise KeyError("passes columns are not ALL present dataframe")
- if len(Index(cols).intersection(df.columns)) != len(cols):
+ if len(Index(cols).intersection(df.columns)) != len(set(cols)):
# Deprecated in GH#17295, enforced in 1.0.0
raise KeyError("Not all names specified in 'columns' are
found")
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/io/json/_json.py
new/pandas-1.2.3/pandas/io/json/_json.py
--- old/pandas-1.2.2/pandas/io/json/_json.py 2021-02-09 11:55:18.000000000
+0100
+++ new/pandas-1.2.3/pandas/io/json/_json.py 2021-03-02 10:43:35.000000000
+0100
@@ -100,7 +100,7 @@
if path_or_buf is not None:
# apply compression and byte/text conversion
with get_handle(
- path_or_buf, "wt", compression=compression,
storage_options=storage_options
+ path_or_buf, "w", compression=compression,
storage_options=storage_options
) as handles:
handles.handle.write(s)
else:
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.2/pandas/tests/arrays/masked/test_arithmetic.py
new/pandas-1.2.3/pandas/tests/arrays/masked/test_arithmetic.py
--- old/pandas-1.2.2/pandas/tests/arrays/masked/test_arithmetic.py
2021-02-09 11:38:51.000000000 +0100
+++ new/pandas-1.2.3/pandas/tests/arrays/masked/test_arithmetic.py
2021-03-02 10:43:35.000000000 +0100
@@ -159,3 +159,16 @@
s = pd.Series(data)
with pytest.raises(ValueError, match="Lengths must match"):
op(s, other)
+
+
+@pytest.mark.parametrize("op", ["__neg__", "__abs__", "__invert__"])
+@pytest.mark.parametrize(
+ "values, dtype", [([1, 2, 3], "Int64"), ([True, False, True], "boolean")]
+)
+def test_unary_op_does_not_propagate_mask(op, values, dtype):
+ # https://github.com/pandas-dev/pandas/issues/39943
+ s = pd.Series(values, dtype=dtype)
+ result = getattr(s, op)()
+ expected = result.copy(deep=True)
+ s[0] = None
+ tm.assert_series_equal(result, expected)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.2/pandas/tests/arrays/sparse/test_array.py
new/pandas-1.2.3/pandas/tests/arrays/sparse/test_array.py
--- old/pandas-1.2.2/pandas/tests/arrays/sparse/test_array.py 2021-02-09
11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/tests/arrays/sparse/test_array.py 2021-03-02
10:43:35.000000000 +0100
@@ -1174,7 +1174,9 @@
row = [0, 3, 1, 0]
col = [0, 3, 1, 2]
data = [4, 5, 7, 9]
- sp_array = scipy.sparse.coo_matrix((data, (row, col)))
+ # TODO: Remove dtype when scipy is fixed
+ # https://github.com/scipy/scipy/issues/13585
+ sp_array = scipy.sparse.coo_matrix((data, (row, col)), dtype="int")
result = pd.Series.sparse.from_coo(sp_array)
index = pd.MultiIndex.from_arrays([[0, 0, 1, 3], [0, 2, 1, 3]])
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.2/pandas/tests/arrays/string_/test_string.py
new/pandas-1.2.3/pandas/tests/arrays/string_/test_string.py
--- old/pandas-1.2.2/pandas/tests/arrays/string_/test_string.py 2021-02-09
11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/tests/arrays/string_/test_string.py 2021-03-02
10:43:35.000000000 +0100
@@ -14,13 +14,8 @@
@pytest.fixture(
params=[
- # pandas\tests\arrays\string_\test_string.py:16: error: List item 1 has
- # incompatible type "ParameterSet"; expected
- # "Sequence[Collection[object]]" [list-item]
"string",
- pytest.param(
- "arrow_string", marks=skip_if_no_pyarrow
- ), # type:ignore[list-item]
+ pytest.param("arrow_string", marks=skip_if_no_pyarrow),
]
)
def dtype(request):
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.2/pandas/tests/frame/apply/test_frame_transform.py
new/pandas-1.2.3/pandas/tests/frame/apply/test_frame_transform.py
--- old/pandas-1.2.2/pandas/tests/frame/apply/test_frame_transform.py
2021-02-09 11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/tests/frame/apply/test_frame_transform.py
2021-03-02 10:43:35.000000000 +0100
@@ -99,6 +99,17 @@
tm.assert_frame_equal(result, expected)
+def test_transform_dictlike_mixed():
+ # GH 40018 - mix of lists and non-lists in values of a dictionary
+ df = DataFrame({"a": [1, 2], "b": [1, 4], "c": [1, 4]})
+ result = df.transform({"b": ["sqrt", "abs"], "c": "sqrt"})
+ expected = DataFrame(
+ [[1.0, 1, 1.0], [2.0, 4, 2.0]],
+ columns=MultiIndex([("b", "c"), ("sqrt", "abs")], [(0, 0, 1), (0, 1,
0)]),
+ )
+ tm.assert_frame_equal(result, expected)
+
+
@pytest.mark.parametrize(
"ops",
[
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.2/pandas/tests/frame/indexing/test_setitem.py
new/pandas-1.2.3/pandas/tests/frame/indexing/test_setitem.py
--- old/pandas-1.2.2/pandas/tests/frame/indexing/test_setitem.py
2021-02-09 11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/tests/frame/indexing/test_setitem.py
2021-03-02 10:43:35.000000000 +0100
@@ -404,3 +404,12 @@
expected = df.copy()
expected.values[np.array(mask)] = np.nan
tm.assert_frame_equal(result, expected)
+
+ @pytest.mark.parametrize("indexer", [lambda x: x, lambda x: x.loc])
+ def test_setitem_boolean_mask_aligning(self, indexer):
+ # GH#39931
+ df = DataFrame({"a": [1, 4, 2, 3], "b": [5, 6, 7, 8]})
+ expected = df.copy()
+ mask = df["a"] >= 3
+ indexer(df)[mask] = indexer(df)[mask].sort_values("a")
+ tm.assert_frame_equal(df, expected)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.2/pandas/tests/frame/methods/test_sort_index.py
new/pandas-1.2.3/pandas/tests/frame/methods/test_sort_index.py
--- old/pandas-1.2.2/pandas/tests/frame/methods/test_sort_index.py
2021-02-09 11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/tests/frame/methods/test_sort_index.py
2021-03-02 10:43:35.000000000 +0100
@@ -765,6 +765,23 @@
)
tm.assert_frame_equal(result, expected)
+ @pytest.mark.parametrize(
+ "ascending",
+ [
+ None,
+ [True, None],
+ [False, "True"],
+ ],
+ )
+ def test_sort_index_ascending_bad_value_raises(self, ascending):
+ # GH 39434
+ df = DataFrame(np.arange(64))
+ length = len(df.index)
+ df.index = [(i - length / 2) % length for i in range(length)]
+ match = 'For argument "ascending" expected type bool'
+ with pytest.raises(ValueError, match=match):
+ df.sort_index(axis=0, ascending=ascending, na_position="first")
+
class TestDataFrameSortIndexKey:
def test_sort_multi_index_key(self):
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/tests/io/excel/test_writers.py
new/pandas-1.2.3/pandas/tests/io/excel/test_writers.py
--- old/pandas-1.2.2/pandas/tests/io/excel/test_writers.py 2021-02-09
11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/tests/io/excel/test_writers.py 2021-03-02
10:43:35.000000000 +0100
@@ -1295,6 +1295,15 @@
with pytest.raises(ValueError, match="Excel does not support"):
df.to_excel(path)
+ def test_excel_duplicate_columns_with_names(self, path):
+ # GH#39695
+ df = DataFrame({"A": [0, 1], "B": [10, 11]})
+ df.to_excel(path, columns=["A", "B", "A"], index=False)
+
+ result = pd.read_excel(path)
+ expected = DataFrame([[0, 10, 0], [1, 11, 1]], columns=["A", "B",
"A.1"])
+ tm.assert_frame_equal(result, expected)
+
class TestExcelWriterEngineTests:
@pytest.mark.parametrize(
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.2/pandas/tests/io/json/test_compression.py
new/pandas-1.2.3/pandas/tests/io/json/test_compression.py
--- old/pandas-1.2.2/pandas/tests/io/json/test_compression.py 2021-02-09
11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/tests/io/json/test_compression.py 2021-03-02
10:43:35.000000000 +0100
@@ -1,3 +1,5 @@
+from io import BytesIO
+
import pytest
import pandas.util._test_decorators as td
@@ -115,3 +117,13 @@
df.to_json(path, compression=to_compression)
result = pd.read_json(path, compression=read_compression)
tm.assert_frame_equal(result, df)
+
+
+def test_to_json_compression_mode(compression):
+ # GH 39985 (read_json does not support user-provided binary files)
+ expected = pd.DataFrame({"A": [1]})
+
+ with BytesIO() as buffer:
+ expected.to_json(buffer, compression=compression)
+ # df = pd.read_json(buffer, compression=compression)
+ # tm.assert_frame_equal(expected, df)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.2/pandas/tests/io/json/test_json_table_schema.py
new/pandas-1.2.3/pandas/tests/io/json/test_json_table_schema.py
--- old/pandas-1.2.2/pandas/tests/io/json/test_json_table_schema.py
2021-02-09 11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/tests/io/json/test_json_table_schema.py
2021-03-02 10:43:35.000000000 +0100
@@ -745,6 +745,9 @@
result = pd.read_json(out, orient="table")
tm.assert_frame_equal(df, result)
+ @pytest.mark.filterwarnings(
+ "ignore:an integer is required (got type float)*:DeprecationWarning"
+ )
def test_comprehensive(self):
df = DataFrame(
{
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/tests/io/test_fsspec.py
new/pandas-1.2.3/pandas/tests/io/test_fsspec.py
--- old/pandas-1.2.2/pandas/tests/io/test_fsspec.py 2021-02-09
11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/tests/io/test_fsspec.py 2021-03-02
10:43:35.000000000 +0100
@@ -249,11 +249,19 @@
tm.assert_frame_equal(df, out)
-def test_json_options(fsspectest):
+def test_json_options(fsspectest, compression):
df = DataFrame({"a": [0]})
- df.to_json("testmem://afile", storage_options={"test": "json_write"})
+ df.to_json(
+ "testmem://afile",
+ compression=compression,
+ storage_options={"test": "json_write"},
+ )
assert fsspectest.test[0] == "json_write"
- out = read_json("testmem://afile", storage_options={"test": "json_read"})
+ out = read_json(
+ "testmem://afile",
+ compression=compression,
+ storage_options={"test": "json_read"},
+ )
assert fsspectest.test[0] == "json_read"
tm.assert_frame_equal(df, out)
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.2/pandas/tests/series/apply/test_series_transform.py
new/pandas-1.2.3/pandas/tests/series/apply/test_series_transform.py
--- old/pandas-1.2.2/pandas/tests/series/apply/test_series_transform.py
2021-02-09 11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/tests/series/apply/test_series_transform.py
2021-03-02 10:43:35.000000000 +0100
@@ -1,7 +1,7 @@
import numpy as np
import pytest
-from pandas import DataFrame, Series, concat
+from pandas import DataFrame, MultiIndex, Series, concat
import pandas._testing as tm
from pandas.core.base import SpecificationError
from pandas.core.groupby.base import transformation_kernels
@@ -52,6 +52,17 @@
tm.assert_frame_equal(result, expected)
+def test_transform_dictlike_mixed():
+ # GH 40018 - mix of lists and non-lists in values of a dictionary
+ df = Series([1, 4])
+ result = df.transform({"b": ["sqrt", "abs"], "c": "sqrt"})
+ expected = DataFrame(
+ [[1.0, 1, 1.0], [2.0, 4, 2.0]],
+ columns=MultiIndex([("b", "c"), ("sqrt", "abs")], [(0, 0, 1), (0, 1,
0)]),
+ )
+ tm.assert_frame_equal(result, expected)
+
+
def test_transform_wont_agg(string_series):
# GH 35964
# we are trying to transform with an aggregator
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/pandas-1.2.2/pandas/tests/series/methods/test_sort_index.py
new/pandas-1.2.3/pandas/tests/series/methods/test_sort_index.py
--- old/pandas-1.2.2/pandas/tests/series/methods/test_sort_index.py
2021-02-09 11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/tests/series/methods/test_sort_index.py
2021-03-02 10:43:35.000000000 +0100
@@ -199,6 +199,20 @@
expected = ser.iloc[[0, 4, 1, 5, 2, 6, 3, 7]]
tm.assert_series_equal(result, expected)
+ @pytest.mark.parametrize(
+ "ascending",
+ [
+ None,
+ (True, None),
+ (False, "True"),
+ ],
+ )
+ def test_sort_index_ascending_bad_value_raises(self, ascending):
+ ser = Series(range(10), index=[0, 3, 2, 1, 4, 5, 7, 6, 8, 9])
+ match = 'For argument "ascending" expected type bool'
+ with pytest.raises(ValueError, match=match):
+ ser.sort_index(ascending=ascending)
+
class TestSeriesSortIndexKey:
def test_sort_index_multiindex_key(self):
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/tests/window/conftest.py
new/pandas-1.2.3/pandas/tests/window/conftest.py
--- old/pandas-1.2.2/pandas/tests/window/conftest.py 2021-02-09
11:55:18.000000000 +0100
+++ new/pandas-1.2.3/pandas/tests/window/conftest.py 2021-03-02
10:43:35.000000000 +0100
@@ -100,9 +100,7 @@
@pytest.fixture(
params=[
- pytest.param(
- "numba", marks=td.skip_if_no("numba", "0.46.0")
- ), # type: ignore[list-item]
+ pytest.param("numba", marks=td.skip_if_no("numba", "0.46.0")),
"cython",
]
)
@@ -318,7 +316,7 @@
"float64",
"m8[ns]",
"M8[ns]",
- pytest.param( # type: ignore[list-item]
+ pytest.param(
"datetime64[ns, UTC]",
marks=pytest.mark.skip(
"direct creation of extension dtype datetime64[ns, UTC] "
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas/util/_validators.py
new/pandas-1.2.3/pandas/util/_validators.py
--- old/pandas-1.2.2/pandas/util/_validators.py 2021-02-09 11:38:51.000000000
+0100
+++ new/pandas-1.2.3/pandas/util/_validators.py 2021-03-02 10:43:35.000000000
+0100
@@ -2,7 +2,7 @@
Module that contains many useful utilities
for validating data or function arguments
"""
-from typing import Iterable, Union
+from typing import Iterable, Sequence, Union
import warnings
import numpy as np
@@ -205,9 +205,39 @@
validate_kwargs(fname, kwargs, compat_args)
-def validate_bool_kwarg(value, arg_name):
- """ Ensures that argument passed in arg_name is of type bool. """
- if not (is_bool(value) or value is None):
+def validate_bool_kwarg(value, arg_name, none_allowed=True, int_allowed=False):
+ """
+ Ensure that argument passed in arg_name can be interpreted as boolean.
+
+ Parameters
+ ----------
+ value : bool
+ Value to be validated.
+ arg_name : str
+ Name of the argument. To be reflected in the error message.
+ none_allowed : bool, default True
+ Whether to consider None to be a valid boolean.
+ int_allowed : bool, default False
+ Whether to consider integer value to be a valid boolean.
+
+ Returns
+ -------
+ value
+ The same value as input.
+
+ Raises
+ ------
+ ValueError
+ If the value is not a valid boolean.
+ """
+ good_value = is_bool(value)
+ if none_allowed:
+ good_value = good_value or value is None
+
+ if int_allowed:
+ good_value = good_value or isinstance(value, int)
+
+ if not good_value:
raise ValueError(
f'For argument "{arg_name}" expected type bool, received '
f"type {type(value).__name__}."
@@ -381,3 +411,14 @@
if not all(0 <= qs <= 1 for qs in q_arr):
raise ValueError(msg.format(q_arr / 100.0))
return q_arr
+
+
+def validate_ascending(
+ ascending: Union[Union[bool, int], Sequence[Union[bool, int]]] = True,
+):
+ """Validate ``ascending`` kwargs for ``sort_index`` method."""
+ kwargs = {"none_allowed": False, "int_allowed": True}
+ if not isinstance(ascending, (list, tuple)):
+ return validate_bool_kwarg(ascending, "ascending", **kwargs)
+
+ return [validate_bool_kwarg(item, "ascending", **kwargs) for item in
ascending]
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas.egg-info/PKG-INFO
new/pandas-1.2.3/pandas.egg-info/PKG-INFO
--- old/pandas-1.2.2/pandas.egg-info/PKG-INFO 2021-02-09 11:59:57.000000000
+0100
+++ new/pandas-1.2.3/pandas.egg-info/PKG-INFO 2021-03-02 10:48:07.000000000
+0100
@@ -1,6 +1,6 @@
Metadata-Version: 2.1
Name: pandas
-Version: 1.2.2
+Version: 1.2.3
Summary: Powerful data structures for data analysis, time series, and
statistics
Home-page: https://pandas.pydata.org
Maintainer: The PyData Development Team
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/pandas.egg-info/SOURCES.txt
new/pandas-1.2.3/pandas.egg-info/SOURCES.txt
--- old/pandas-1.2.2/pandas.egg-info/SOURCES.txt 2021-02-09
11:59:57.000000000 +0100
+++ new/pandas-1.2.3/pandas.egg-info/SOURCES.txt 2021-03-02
10:48:07.000000000 +0100
@@ -213,6 +213,7 @@
doc/source/whatsnew/v1.2.0.rst
doc/source/whatsnew/v1.2.1.rst
doc/source/whatsnew/v1.2.2.rst
+doc/source/whatsnew/v1.2.3.rst
doc/sphinxext/README.rst
doc/sphinxext/announce.py
doc/sphinxext/contributors.py
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/pandas-1.2.2/setup.cfg new/pandas-1.2.3/setup.cfg
--- old/pandas-1.2.2/setup.cfg 2021-02-09 11:59:57.670000000 +0100
+++ new/pandas-1.2.3/setup.cfg 2021-03-02 10:48:07.583455300 +0100
@@ -107,6 +107,7 @@
warn_redundant_casts = True
warn_unused_ignores = True
show_error_codes = True
+no_site_packages = True
[mypy-pandas.tests.*]
check_untyped_defs = False
