Metadata-Version: 2.0
Name: xray
Version: 0.7.0
Summary: N-D labeled arrays and datasets in Python
Home-page: https://github.com/pydata/xarray
Author: xarray Developers
Author-email: xarray@googlegroups.com
License: Apache
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering
Requires-Dist: numpy (>=1.7)
Requires-Dist: pandas (>=0.15.0)
.. note::
xray has been renaemd to xarray! We issued this final release of xray
v0.7.0, which is identical to xarray v0.7.0, to ease this transition. You
can find xarray on PyPI at https://pypi.python.org/pypi/xarray/.
**xarray** (formerly **xray**) is an open source project and Python package
that aims to bring the labeled data power of pandas_ to the physical sciences,
by providing N-dimensional variants of the core pandas data structures.
Our goal is to provide a pandas-like and pandas-compatible toolkit for
analytics on multi-dimensional arrays, rather than the tabular data for which
pandas excels. Our approach adopts the `Common Data Model`_ for self-
describing scientific data in widespread use in the Earth sciences:
``xarray.Dataset`` is an in-memory representation of a netCDF file.
.. _the v0.7.0 release notes: http://xarray.pydata.org/en/stable/whats-new.html#whats-new-0-7-0
.. _pandas: http://pandas.pydata.org
.. _Common Data Model: http://www.unidata.ucar.edu/software/thredds/current/netcdf-java/CDM
.. _netCDF: http://www.unidata.ucar.edu/software/netcdf
.. _OPeNDAP: http://www.opendap.org/
Important links
---------------
- HTML documentation: http://xarray.pydata.org
- Issue tracker: http://github.com/pydata/xarray/issues
- Source code: http://github.com/pydata/xarray
- SciPy2015 talk: https://www.youtube.com/watch?v=X0pAhJgySxk
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