Metadata-Version: 2.1
Name: daops
Version: 0.8.1
Summary: daops - data-aware operations
Home-page: https://github.com/roocs/daops
Author: Elle Smith
Author-email: eleanor.smith@stfc.ac.uk
License: BSD
Keywords: daops
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Security
Classifier: Topic :: Internet
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: System :: Distributed Computing
Classifier: Topic :: System :: Systems Administration :: Authentication/Directory
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.7.0
Description-Content-Type: text/x-rst
Provides-Extra: docs
License-File: LICENSE
License-File: AUTHORS.rst


daops - data-aware operations
=============================


.. image:: https://img.shields.io/pypi/v/daops.svg
   :target: https://pypi.python.org/pypi/daops
   :alt: Pypi



.. image:: https://github.com/roocs/daops/workflows/build/badge.svg
    :target: https://github.com/roocs/daops/actions
    :alt: Build Status



.. image:: https://readthedocs.org/projects/daops/badge/?version=latest
   :target: https://daops.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation


The ``daops`` library (pronounced "day-ops") provides a python interface to a
set of operations suitable for working with climate simulation outputs. It is
typically used with ESGF data sets that are described in NetCDF files. ``daops``
is unique in that it accesses a store of *fixes* defined for datasets that are
irregular when compared with others in their *population*.

When a ``daops`` operation, such as ``subset``\ , is requested, the library will look
up a database of known fixes before performing and calculations or transformations.
The data will be loaded and *fixed* using the `xarray <http://xarray.pydata.org/>`_
library before the any actual operations are sent to its sister library
`clisops <https://github.com/roocs/clisops>`_.


* Free software: BSD
* Documentation: https://daops.readthedocs.io

Features
--------

The package has the following features:


* Ability to run *data-reduction* operations on large climate data sets.
* Knowledge of irregularities/anomalies in some climate data sets.
* Ability to apply *fixes* to those data sets before operating on them.
  This process is called *normalisation* of the data sets.

Credits
=======

This package was created with ``Cookiecutter`` and the ``cedadev/cookiecutter-pypackage`` project template.


* Cookiecutter: https://github.com/audreyr/cookiecutter
* cookiecutter-pypackage: https://github.com/cedadev/cookiecutter-pypackage


.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
   :target: https://github.com/python/black
   :alt: Python Black
