Hello community, here is the log from the commit of package python3-pandas for openSUSE:Factory checked in at 2016-06-02 09:38:18 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/python3-pandas (Old) and /work/SRC/openSUSE:Factory/.python3-pandas.new (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python3-pandas" Changes: -------- New Changes file: --- /dev/null 2016-04-07 01:36:33.300037506 +0200 +++ /work/SRC/openSUSE:Factory/.python3-pandas.new/python3-pandas-doc.changes 2016-06-02 09:38:20.000000000 +0200 @@ -0,0 +1,1069 @@ +------------------------------------------------------------------- +Thu May 19 18:37:25 UTC 2016 - [email protected] + +- Split documentation into own subpackage to speed up build. +- Remove buildrequires for optional dependencies to speed up build. + +------------------------------------------------------------------- +Sun May 15 04:32:39 UTC 2016 - [email protected] + +- update to version 0.18.1: + (for a full changelog see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-18-1-may-3-2016) + * Highlights include: + + .groupby(...) has been enhanced to provide convenient syntax + when working with .rolling(..), .expanding(..) and .resample(..) + per group, see here + + pd.to_datetime() has gained the ability to assemble dates from a + DataFrame, see here + + Method chaining improvements, see here. + + Custom business hour offset, see here. + + Many bug fixes in the handling of sparse, see here + + Expanded the Tutorials section with a feature on modern pandas, + courtesy of @TomAugsburger. (GH13045). + +------------------------------------------------------------------- +Sun May 8 07:03:41 UTC 2016 - [email protected] + +- specfile: + * updated source url to files.pythonhosted.org + + +------------------------------------------------------------------- +Sat Mar 12 19:00:30 UTC 2016 - [email protected] + +- specfile: + * update copyright year + +- update to version 0.18.0: + (for a full changelog see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-18-0-march-13-2016) + * Highlights include: + + Moving and expanding window functions are now methods on Series + and DataFrame, similar to .groupby, see here. + + Adding support for a RangeIndex as a specialized form of the + Int64Index for memory savings, see here. + + API breaking change to the .resample method to make it more + .groupby like, see here. + + Removal of support for positional indexing with floats, which + was deprecated since 0.14.0. This will now raise a TypeError, + see here. + + The .to_xarray() function has been added for compatibility with + the xarray package, see here. + + The read_sas function has been enhanced to read sas7bdat files, + see here. + + Addition of the .str.extractall() method, and API changes to the + .str.extract() method and .str.cat() method. + + pd.test() top-level nose test runner is available (GH4327). + +------------------------------------------------------------------- +Sun Nov 22 00:45:29 UTC 2015 - [email protected] + +- update to version 0.17.1: + (for full changelog see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-17-1-november-21-2015) + Highlights include: + * Support for Conditional HTML Formatting, see here + * Releasing the GIL on the csv reader & other ops, see here + * Fixed regression in DataFrame.drop_duplicates from 0.16.2, causing + incorrect results on integer values (GH11376) + +------------------------------------------------------------------- +Sat Oct 10 16:39:41 UTC 2015 - [email protected] + +- update to version 0.17.0: + (for full changelog see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-17-0-october-9-2015) + Highlights: + * Release the Global Interpreter Lock (GIL) on some cython + operations, see here + * Plotting methods are now available as attributes of the .plot + accessor, see here + * The sorting API has been revamped to remove some long-time + inconsistencies, see here + * Support for a datetime64[ns] with timezones as a first-class + dtype, see here + * The default for to_datetime will now be to raise when presented + with unparseable formats, previously this would return the + original input. Also, date parse functions now return consistent + results. See here + * The default for dropna in HDFStore has changed to False, to store + by default all rows even if they are all NaN, see here + * Datetime accessor (dt) now supports Series.dt.strftime to generate + formatted strings for datetime-likes, and Series.dt.total_seconds + to ge nerate each duration of the timedelta in seconds. See here + * Period and PeriodIndex can handle multiplied freq like 3D, which + corresponding to 3 days span. See here + * Development installed versions of pandas will now have PEP440 + compliant version strings (GH9518) + * Development support for benchmarking with the Air Speed Velocity + library (GH8361) + * Support for reading SAS xport files, see here + * Documentation comparing SAS to pandas, see here + * Removal of the automatic TimeSeries broadcasting, deprecated since + 0.8.0, see here + * Display format with plain text can optionally align with Unicode + East Asian Width, see here + * Compatibility with Python 3.5 (GH11097) + * Compatibility with matplotlib 1.5.0 (GH11111) + +------------------------------------------------------------------- +Wed Jul 29 08:50:55 UTC 2015 - [email protected] + +- xlwt and boto are now available for python 3. + +------------------------------------------------------------------- +Mon Jul 27 10:08:46 UTC 2015 - [email protected] + +- Don't require HDF5 directly, the ambiguities should be and have + been fixed in the packages that require hdf5 directly, not here. + +------------------------------------------------------------------- +Sun Jun 14 06:52:11 UTC 2015 - [email protected] + +- update to version 0.16.2: + (see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-16-2-june-12-2015) + * Highlights + + A new pipe method + + Documentation on how to use numba with pandas + * Enhancements + + Added rsplit to Index/Series StringMethods (GH10303) + + Removed the hard-coded size limits on the DataFrame HTML + representation in the IPython notebook, and leave this to + IPython itself (only for IPython v3.0 or greater). This + eliminates the duplicate scroll bars that appeared in the + notebook with large frames (GH10231). + + Note that the notebook has a toggle output scrolling feature to + limit the display of very large frames (by clicking left of the + output). You can also configure the way DataFrames are displayed + using the pandas options, see here here. + + axis parameter of DataFrame.quantile now accepts also index and + column. (GH9543) + * API Changes + + Holiday now raises NotImplementedError if both offset and + observance are used in the constructor instead of returning an + incorrect result (GH10217). + * Performance Improvements + + Improved Series.resample performance with dtype=datetime64[ns] + (GH7754) + + Increase performance of str.split when expand=True (GH10081) + * Bug Fixes + + Bug in Series.hist raises an error when a one row Series was + given (GH10214) + + Bug where HDFStore.select modifies the passed columns list + (GH7212) + + Bug in Categorical repr with display.width of None in Python 3 + (GH10087) + + Bug in to_json with certain orients and a CategoricalIndex would + segfault (GH10317) + + Bug where some of the nan funcs do not have consistent return + dtypes (GH10251) + + Bug in DataFrame.quantile on checking that a valid axis was + passed (GH9543) + + Bug in groupby.apply aggregation for Categorical not preserving + categories (GH10138) + + Bug in to_csv where date_format is ignored if the datetime is + fractional (GH10209) + + Bug in DataFrame.to_json with mixed data types (GH10289) + + Bug in cache updating when consolidating (GH10264) + + Bug in mean() where integer dtypes can overflow (GH10172) + + Bug where Panel.from_dict does not set dtype when specified + (GH10058) + + Bug in Index.union raises AttributeError when passing + array-likes. (GH10149) + + Bug in Timestamp‘s’ microsecond, quarter, dayofyear, week and + daysinmonth properties return np.int type, not built-in + int. (GH10050) + + Bug in NaT raises AttributeError when accessing to daysinmonth, + dayofweek properties. (GH10096) + + Bug in Index repr when using the max_seq_items=None setting + (GH10182). + + Bug in getting timezone data with dateutil on various platforms + ( GH9059, GH8639, GH9663, GH10121) + + Bug in displaying datetimes with mixed frequencies; display ‘ms’ + datetimes to the proper precision. (GH10170) + + Bug in setitem where type promotion is applied to the entire + block (GH10280) + + Bug in Series arithmetic methods may incorrectly hold names + (GH10068) + + Bug in GroupBy.get_group when grouping on multiple keys, one of + which is categorical. (GH10132) + + Bug in DatetimeIndex and TimedeltaIndex names are lost after + timedelta arithmetics ( GH9926) + + Bug in DataFrame construction from nested dict with datetime64 + (GH10160) + + Bug in Series construction from dict with datetime64 keys + (GH9456) + + Bug in Series.plot(label="LABEL") not correctly setting the + label (GH10119) + + Bug in plot not defaulting to matplotlib axes.grid setting + (GH9792) ++++ 872 more lines (skipped) ++++ between /dev/null ++++ and /work/SRC/openSUSE:Factory/.python3-pandas.new/python3-pandas-doc.changes --- /work/SRC/openSUSE:Factory/python3-pandas/python3-pandas.changes 2016-05-16 12:04:16.000000000 +0200 +++ /work/SRC/openSUSE:Factory/.python3-pandas.new/python3-pandas.changes 2016-06-02 09:38:20.000000000 +0200 @@ -1,0 +2,6 @@ +Thu May 19 18:37:25 UTC 2016 - [email protected] + +- Split documentation into own subpackage to speed up build. +- Remove buildrequires for optional dependencies to speed up build. + +------------------------------------------------------------------- New: ---- python3-pandas-doc.changes python3-pandas-doc.spec ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ python3-pandas-doc.spec ++++++ # # spec file for package python3-pandas-doc # # Copyright (c) 2016 SUSE LINUX GmbH, Nuernberg, Germany. # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed # upon. The license for this file, and modifications and additions to the # file, is the same license as for the pristine package itself (unless the # license for the pristine package is not an Open Source License, in which # case the license is the MIT License). An "Open Source License" is a # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. # Please submit bugfixes or comments via http://bugs.opensuse.org/ # Name: python3-pandas-doc Version: 0.18.1 Release: 0 Summary: Documentation for python3-pandas License: BSD-3-Clause Group: Documentation/HTML Url: http://pandas.pydata.org/ Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz BuildRequires: python3-pandas = %{version} BuildRequires: python3-Sphinx Recommends: python3-pandas = %{version} BuildRoot: %{_tmppath}/%{name}-%{version}-build BuildArch: noarch %description Documentation, help files, and examples for python3-pandas. %prep %setup -q -n pandas-%{version} %build # Not needed %install pushd doc python3 make.py html popd %files %defattr(-,root,root) %doc doc/build/html/ %changelog ++++++ python3-pandas.spec ++++++ --- /var/tmp/diff_new_pack.ndQlTm/_old 2016-06-02 09:38:21.000000000 +0200 +++ /var/tmp/diff_new_pack.ndQlTm/_new 2016-06-02 09:38:21.000000000 +0200 @@ -26,31 +26,18 @@ Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz BuildRequires: fdupes BuildRequires: gcc-c++ -BuildRequires: python3-Bottleneck -BuildRequires: python3-Cython -BuildRequires: python3-SQLAlchemy -BuildRequires: python3-Sphinx -BuildRequires: python3-beautifulsoup4 -BuildRequires: python3-boto -BuildRequires: python3-dateutil BuildRequires: python3-devel -BuildRequires: python3-html5lib -BuildRequires: python3-lxml -BuildRequires: python3-matplotlib -BuildRequires: python3-numexpr >= 2.1 +BuildRequires: python3-setuptools +BuildRequires: python3-dateutil BuildRequires: python3-numpy-devel >= 1.7.0 -BuildRequires: python3-openpyxl BuildRequires: python3-pytz -BuildRequires: python3-scipy -BuildRequires: python3-setuptools -BuildRequires: python3-tables >= 3.0.0 -BuildRequires: python3-xlrd -BuildRequires: python3-xlwt Requires: python3-dateutil Requires: python3-numpy >= 1.7.0 Requires: python3-pytz Recommends: python3-Bottleneck +Recommends: python3-Jinja2 Recommends: python3-beautifulsoup4 +Recommends: python3-blosc Recommends: python3-boto Recommends: python3-html5lib Recommends: python3-lxml @@ -62,8 +49,11 @@ Recommends: python3-SQLAlchemy Recommends: python3-statsmodels Recommends: python3-tables >= 3.0.0 +Recommends: python3-xarray Recommends: python3-xlrd +Recommends: python3-xlsxwriter Recommends: python3-xlwt +Recommends: xclip BuildRoot: %{_tmppath}/%{name}-%{version}-build %description @@ -74,14 +64,6 @@ the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. -%package doc -Summary: Documentation for %{name} -Group: Development/Libraries/Python -Recommends: %{name} = %{version} - -%description doc -Documentation, help files, and examples for %{name} - %prep %setup -q -n pandas-%{version} @@ -91,10 +73,6 @@ %install python3 setup.py install --root %{buildroot} --prefix=%{_prefix} -pushd doc -python3 make.py html -popd - rm -r %{buildroot}%{python3_sitearch}/pandas/tests %fdupes %{buildroot}%{python3_sitearch} @@ -103,17 +81,10 @@ %py3_compile . popd -%clean -rm -rf %{buildroot} - %files %defattr(-,root,root) %doc LICENSE doc/README.rst RELEASE.md %{python3_sitearch}/pandas %{python3_sitearch}/pandas-%{version}-py%{py3_ver}.egg-info -%files doc -%defattr(-,root,root) -%doc doc/build/html/ - %changelog
