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Accepting request 499830 from devel:languages:python

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OBS-URL: https://build.opensuse.org/request/show/499830
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=4
This commit is contained in:
Dominique Leuenberger 2017-05-31 10:22:08 +00:00 committed by Git OBS Bridge
parent 9c058995c4
commit 5127b1d430
6 changed files with 66 additions and 6 deletions
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3
pandas-0.19.2.tar.gz
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@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6f0f4f598c2b16746803c8bafef7c721c57e4844da752d36240c0acf97658014
size 9222964

3
pandas-0.20.1.tar.gz Normal file
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@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:42707365577ef69f7c9c168ddcf045df2957595a9ee71bc13c7997eecb96b190
size 10307434

31
python-pandas-doc.changes
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@ -1,3 +1,34 @@
-------------------------------------------------------------------
Tue May 30 17:08:33 UTC 2017 - toddrme2178@gmail.com
- Fix documentation BuildRequires.
-------------------------------------------------------------------
Thu May 18 01:07:08 UTC 2017 - toddrme2178@gmail.com
- Update to version 0.20.1
Highlights include:
* New ``.agg()`` API for Series/DataFrame similar to the
groupby-rolling-resample API's
* Integration with the ``feather-format``, including a new
top-level ``pd.read_feather()`` and ``DataFrame.to_feather()``
method
* The ``.ix`` indexer has been deprecated
* ``Panel`` has been deprecated
* Addition of an ``IntervalIndex`` and ``Interval`` scalar type
* Improved user API when grouping by index levels in ``.groupby()``
* Improved support for ``UInt64`` dtypes
* A new orient for JSON serialization, ``orient='table'``, that
uses the Table Schema spec and that gives the possibility for
a more interactive repr in the Jupyter Notebook
* Experimental support for exporting styled DataFrames
(``DataFrame.style``) to Excel
* Window binary corr/cov operations now return a MultiIndexed
``DataFrame`` rather than a ``Panel``, as ``Panel`` is now
deprecated
* Support for S3 handling now uses ``s3fs``
* Google BigQuery support now uses the ``pandas-gbq`` library
-------------------------------------------------------------------
Tue Apr 25 18:39:03 UTC 2017 - toddrme2178@gmail.com

5
python-pandas-doc.spec
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@ -18,7 +18,7 @@
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
Name: python-pandas-doc
Version: 0.19.2
Version: 0.20.1
Release: 0
Summary: Documentation for python-pandas
License: BSD-3-Clause
@ -31,11 +31,12 @@ BuildRequires: python-rpm-macros
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-Sphinx
BuildRequires: python3-dateutil >= 1.5
BuildRequires: python3-python-dateutil >= 1.5
BuildRequires: python3-jupyter_client
BuildRequires: python3-jupyter_ipykernel
BuildRequires: python3-jupyter_nbconvert
BuildRequires: python3-jupyter_nbformat
BuildRequires: python3-jupyter_nbsphinx
BuildRequires: python3-matplotlib
BuildRequires: python3-numpy-devel >= 1.7.1
BuildRequires: python3-pytz

26
python-pandas.changes
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@ -1,3 +1,29 @@
-------------------------------------------------------------------
Thu May 18 01:07:08 UTC 2017 - toddrme2178@gmail.com
- Update to version 0.20.1
Highlights include:
* New ``.agg()`` API for Series/DataFrame similar to the
groupby-rolling-resample API's
* Integration with the ``feather-format``, including a new
top-level ``pd.read_feather()`` and ``DataFrame.to_feather()``
method
* The ``.ix`` indexer has been deprecated
* ``Panel`` has been deprecated
* Addition of an ``IntervalIndex`` and ``Interval`` scalar type
* Improved user API when grouping by index levels in ``.groupby()``
* Improved support for ``UInt64`` dtypes
* A new orient for JSON serialization, ``orient='table'``, that
uses the Table Schema spec and that gives the possibility for
a more interactive repr in the Jupyter Notebook
* Experimental support for exporting styled DataFrames
(``DataFrame.style``) to Excel
* Window binary corr/cov operations now return a MultiIndexed
``DataFrame`` rather than a ``Panel``, as ``Panel`` is now
deprecated
* Support for S3 handling now uses ``s3fs``
* Google BigQuery support now uses the ``pandas-gbq`` library
-------------------------------------------------------------------
Mon May 8 03:37:27 UTC 2017 - toddrme2178@gmail.com

4
python-pandas.spec
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@ -18,7 +18,7 @@
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
Name: python-pandas
Version: 0.19.2
Version: 0.20.1
Release: 0
Summary: Make working with "relational" or "labeled" data both easy and intuitive
License: BSD-3-Clause
@ -50,8 +50,10 @@ Recommends: python-matplotlib
Recommends: python-numexpr >= 2.1
Recommends: python-oauth2client
Recommends: python-openpyxl >= 2.2
Recommends: python-pandas-gbq
Recommends: python-python-gflags
Recommends: python-scipy
Recommends: python-s3fs
Recommends: python-tables >= 3.0.0
Recommends: python-xarray >= 0.7.0
Recommends: python-xlrd