Accepting request 685684 from home:apersaud:branches:devel:languages:python:numeric

update to latest version

OBS-URL: https://build.opensuse.org/request/show/685684
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=15
This commit is contained in:
Tomáš Chvátal 2019-03-17 15:28:54 +00:00 committed by Git OBS Bridge
parent 1a6337865d
commit cda6784484
4 changed files with 86 additions and 4 deletions

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pandas-0.24.2.tar.gz Normal file
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-------------------------------------------------------------------
Sat Mar 16 22:35:08 UTC 2019 - Arun Persaud <arun@gmx.de>
- specfile:
* requier pytest-mock
- update to version 0.24.2:
* Fixed Regressions
+ Fixed regression in DataFrame.all() and DataFrame.any() where
bool_only=True was ignored (GH25101)
+ Fixed issue in DataFrame construction with passing a mixed list
of mixed types could segfault. (GH25075)
+ Fixed regression in DataFrame.apply() causing RecursionError
when dict-like classes were passed as argument. (GH25196)
+ Fixed regression in DataFrame.replace() where regex=True was
only replacing patterns matching the start of the string
(GH25259)
+ Fixed regression in DataFrame.duplicated(), where empty
dataframe was not returning a boolean dtyped Series. (GH25184)
+ Fixed regression in Series.min() and Series.max() where
numeric_only=True was ignored when the Series contained
Categorical data (GH25299)
+ Fixed regression in subtraction between Series objects with
datetime64[ns] dtype incorrectly raising OverflowError when the
Series on the right contains null values (GH25317)
+ Fixed regression in TimedeltaIndex where np.sum(index)
incorrectly returned a zero-dimensional object instead of a
scalar (GH25282)
+ Fixed regression in IntervalDtype construction where passing an
incorrect string with Interval as a prefix could result in a
RecursionError. (GH25338)
+ Fixed regression in creating a period-dtype array from a
read-only NumPy array of period objects. (GH25403)
+ Fixed regression in Categorical, where constructing it from a
categorical Series and an explicit categories= that differed
from that in the Series created an invalid object which could
trigger segfaults. (GH25318)
+ Fixed regression in to_timedelta() losing precision when
converting floating data to Timedelta data (GH25077).
+ Fixed pip installing from source into an environment without
NumPy (GH25193)
+ Fixed regression in DataFrame.replace() where large strings of
numbers would be coerced into int64, causing an OverflowError
(GH25616)
+ Fixed regression in factorize() when passing a custom
na_sentinel value with sort=True (GH25409).
+ Fixed regression in DataFrame.to_csv() writing duplicate line
endings with gzip compress (GH25311)
* Bug Fixes
+ I/O
o Better handling of terminal printing when the terminal
dimensions are not known (GH25080)
o Bug in reading a HDF5 table-format DataFrame created in Python
2, in Python 3 (GH24925)
o Bug in reading a JSON with orient='table' generated by
DataFrame.to_json() with index=False (GH25170)
o Bug where float indexes could have misaligned values when
printing (GH25061)
+ Reshaping
o Bug in transform() where applying a function to a timezone aware
column would return a timezone naive result (GH24198)
o Bug in DataFrame.join() when joining on a timezone aware
DatetimeIndex (GH23931)
o Visualization
o Bug in Series.plot() where a secondary y axis could not be set
to log scale (GH25545)
+ Other
o Bug in Series.is_unique() where single occurrences of NaN were
not considered unique (GH25180)
o Bug in merge() when merging an empty DataFrame with an Int64
column or a non-empty DataFrame with an Int64 column that is all
NaN (GH25183)
o Bug in IntervalTree where a RecursionError occurs upon
construction due to an overflow when adding endpoints, which
also causes IntervalIndex to crash during indexing operations
(GH25485)
o Bug in Series.size raising for some extension-array-backed
Series, rather than returning the size (GH25580)
o Bug in resampling raising for nullable integer-dtype columns
(GH25580)
-------------------------------------------------------------------
Fri Feb 22 10:22:38 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com>

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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
%define oldpython python
Name: python-pandas
Version: 0.24.1
Version: 0.24.2
Release: 0
Summary: Python module for working with "relational" or "labeled" data
License: BSD-3-Clause
@ -36,6 +36,7 @@ BuildRequires: %{python_module hypothesis}
BuildRequires: %{python_module lxml}
BuildRequires: %{python_module nose}
BuildRequires: %{python_module numpy-devel >= 1.15.0}
BuildRequires: %{python_module pytest-mock}
BuildRequires: %{python_module pytest}
BuildRequires: %{python_module python-dateutil >= 2.5}
BuildRequires: %{python_module pytz >= 2011k}