Accepting request 539578 from devel:languages:python
OBS-URL: https://build.opensuse.org/request/show/539578 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=6
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version https://git-lfs.github.com/spec/v1
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oid sha256:a777e07633d83d546c55706420179551c8e01075b53c497dcf8ae4036766bc66
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size 10402185
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3
pandas-0.21.0.tar.gz
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3
pandas-0.21.0.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:5cd5cb30e72eeaf202f0e5e180780b897570e889d2db328c689a5a263405c559
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size 11266258
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@ -1,3 +1,29 @@
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-------------------------------------------------------------------
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Mon Oct 30 06:05:48 UTC 2017 - arun@gmx.de
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- specfile:
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* updated minimum numpy version to 1.9.0 (see setup.py)
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- update to version 0.21.0:
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* Highlights include:
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+ Integration with Apache Parquet, including a new top-level
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read_parquet() function and DataFrame.to_parquet() method, see
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here.
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+ New user-facing pandas.api.types.CategoricalDtype for specifying
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categoricals independent of the data, see here.
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+ The behavior of sum and prod on all-NaN Series/DataFrames is now
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consistent and no longer depends on whether bottleneck is
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installed, see here.
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+ Compatibility fixes for pypy, see here.
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+ Additions to the drop, reindex and rename API to make them more
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consistent, see here.
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+ Addition of the new methods DataFrame.infer_objects (see here)
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and GroupBy.pipe (see here).
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+ Indexing with a list of labels, where one or more of the labels
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is missing, is deprecated and will raise a KeyError in a future
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version, see here.
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* full list at http://pandas.pydata.org/pandas-docs/stable/whatsnew.html
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-------------------------------------------------------------------
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Sat Sep 23 21:12:48 UTC 2017 - arun@gmx.de
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@ -18,7 +18,7 @@
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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Name: python-pandas-doc
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Version: 0.20.3
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Version: 0.21.0
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Release: 0
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Summary: Documentation for python-pandas
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License: BSD-3-Clause
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@ -1,3 +1,29 @@
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-------------------------------------------------------------------
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Mon Oct 30 06:05:48 UTC 2017 - arun@gmx.de
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- specfile:
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* updated minimum numpy version to 1.9.0 (see setup.py)
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- update to version 0.21.0:
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* Highlights include:
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+ Integration with Apache Parquet, including a new top-level
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read_parquet() function and DataFrame.to_parquet() method, see
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here.
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+ New user-facing pandas.api.types.CategoricalDtype for specifying
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categoricals independent of the data, see here.
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+ The behavior of sum and prod on all-NaN Series/DataFrames is now
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consistent and no longer depends on whether bottleneck is
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installed, see here.
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+ Compatibility fixes for pypy, see here.
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+ Additions to the drop, reindex and rename API to make them more
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consistent, see here.
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+ Addition of the new methods DataFrame.infer_objects (see here)
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and GroupBy.pipe (see here).
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+ Indexing with a list of labels, where one or more of the labels
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is missing, is deprecated and will raise a KeyError in a future
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version, see here.
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* full list at http://pandas.pydata.org/pandas-docs/stable/whatsnew.html
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-------------------------------------------------------------------
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Sat Sep 23 21:12:48 UTC 2017 - arun@gmx.de
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@ -18,7 +18,7 @@
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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Name: python-pandas
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Version: 0.20.3
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Version: 0.21.0
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Release: 0
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Summary: Make working with "relational" or "labeled" data both easy and intuitive
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License: BSD-3-Clause
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@ -26,7 +26,7 @@ Group: Development/Libraries/Python
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Url: http://pandas.pydata.org/
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Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module numpy-devel >= 1.7.1}
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BuildRequires: %{python_module numpy-devel >= 1.9.0}
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BuildRequires: %{python_module python-dateutil >= 1.5}
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BuildRequires: %{python_module pytz}
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BuildRequires: %{python_module setuptools}
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@ -34,7 +34,7 @@ BuildRequires: fdupes
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BuildRequires: fdupes
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BuildRequires: gcc-c++
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BuildRequires: python-rpm-macros
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Requires: python-numpy >= 1.7.1
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Requires: python-numpy >= 1.9.0
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Requires: python-python-dateutil >= 1.5
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Requires: python-pytz
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Recommends: python-Bottleneck
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