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%global _empty_manifest_terminate_build 0
Name: python-PyStore
Version: 0.1.23
Release: 1
Summary: Fast data store for Pandas timeseries data
License: Apache Software License
URL: https://github.com/ranaroussi/pystore
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/55/e1/d7680118b8e34099ec117cd0730773a212c5bfc8cc9d6371d603529bf4b6/PyStore-0.1.23.tar.gz
BuildArch: noarch
Requires: python3-snappy
Requires: python3-multitasking
Requires: python3-toolz
Requires: python3-partd
Requires: python3-cloudpickle
Requires: python3-distributed
Requires: python3-pandas
Requires: python3-numpy
Requires: python3-fastparquet
Requires: python3-dask
%description
\
`PyStore <https://github.com/ranaroussi/pystore>`_ is a simple (yet powerful)
datastore for Pandas dataframes, and while it can store any Pandas object,
**it was designed with storing timeseries data in mind**.
It's built on top of `Pandas <http://pandas.pydata.org>`_, `Numpy <http://numpy.pydata.org>`_,
`Dask <http://dask.pydata.org>`_, and `Parquet <http://parquet.apache.org>`_
(via `Fastparquet <https://github.com/dask/fastparquet>`_),
to provide an easy to use datastore for Python developers that can easily
query millions of rows per second per client.
==> Check out `this Blog post <https://medium.com/@aroussi/fast-data-store-for-pandas-time-series-data-using-pystore-89d9caeef4e2>`_
for the reasoning and philosophy behind PyStore, as well as a detailed tutorial with code examples.
==> Follow `this PyStore tutorial <https://github.com/ranaroussi/pystore/blob/master/examples/pystore-tutorial.ipynb>`_ in Jupyter notebook format.
%package -n python3-PyStore
Summary: Fast data store for Pandas timeseries data
Provides: python-PyStore
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-PyStore
\
`PyStore <https://github.com/ranaroussi/pystore>`_ is a simple (yet powerful)
datastore for Pandas dataframes, and while it can store any Pandas object,
**it was designed with storing timeseries data in mind**.
It's built on top of `Pandas <http://pandas.pydata.org>`_, `Numpy <http://numpy.pydata.org>`_,
`Dask <http://dask.pydata.org>`_, and `Parquet <http://parquet.apache.org>`_
(via `Fastparquet <https://github.com/dask/fastparquet>`_),
to provide an easy to use datastore for Python developers that can easily
query millions of rows per second per client.
==> Check out `this Blog post <https://medium.com/@aroussi/fast-data-store-for-pandas-time-series-data-using-pystore-89d9caeef4e2>`_
for the reasoning and philosophy behind PyStore, as well as a detailed tutorial with code examples.
==> Follow `this PyStore tutorial <https://github.com/ranaroussi/pystore/blob/master/examples/pystore-tutorial.ipynb>`_ in Jupyter notebook format.
%package help
Summary: Development documents and examples for PyStore
Provides: python3-PyStore-doc
%description help
\
`PyStore <https://github.com/ranaroussi/pystore>`_ is a simple (yet powerful)
datastore for Pandas dataframes, and while it can store any Pandas object,
**it was designed with storing timeseries data in mind**.
It's built on top of `Pandas <http://pandas.pydata.org>`_, `Numpy <http://numpy.pydata.org>`_,
`Dask <http://dask.pydata.org>`_, and `Parquet <http://parquet.apache.org>`_
(via `Fastparquet <https://github.com/dask/fastparquet>`_),
to provide an easy to use datastore for Python developers that can easily
query millions of rows per second per client.
==> Check out `this Blog post <https://medium.com/@aroussi/fast-data-store-for-pandas-time-series-data-using-pystore-89d9caeef4e2>`_
for the reasoning and philosophy behind PyStore, as well as a detailed tutorial with code examples.
==> Follow `this PyStore tutorial <https://github.com/ranaroussi/pystore/blob/master/examples/pystore-tutorial.ipynb>`_ in Jupyter notebook format.
%prep
%autosetup -n PyStore-0.1.23
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-PyStore -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.23-1
- Package Spec generated
|
