Metadata-Version: 2.1
Name: ctdproc
Version: 0.1.2
Summary: Library for CTD data processing
Home-page: https://github.com/gunnarvoet/ctdproc
Author: Gunnar Voet
Author-email: gvoet@ucsd.edu
License: MIT License
Project-URL: Documentation, https://ctdproc.readthedocs.io
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
Requires-Dist: numpy
Requires-Dist: xarray
Requires-Dist: gsw
Requires-Dist: scipy
Requires-Dist: xmltodict
Requires-Dist: pandas
Requires-Dist: munch
Requires-Dist: matplotlib
Provides-Extra: test
Requires-Dist: pytest (>=3.8) ; extra == 'test'
Requires-Dist: coverage (>=4.5) ; extra == 'test'
Requires-Dist: pytest-cov (>=2.6) ; extra == 'test'
Requires-Dist: tox (>=3.3) ; extra == 'test'
Requires-Dist: codecov (>=2.0) ; extra == 'test'

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ctdproc
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.. image:: https://img.shields.io/pypi/v/ctdproc.svg
        :target: https://pypi.python.org/pypi/ctdproc

.. image:: https://img.shields.io/travis/gunnarvoet/ctdproc.svg
        :target: https://travis-ci.com/gunnarvoet/ctdproc

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



CTD data processing in python. 

* Free software: MIT license
* Documentation: https://ctdproc.readthedocs.io.


Features
--------

* Convert CTD data collected with Seabird 9/11 systems in hex-format to human-readable formats and physical units.

* Process CTD time series data into depth-binned profiles.

Credits
-------

This package borrows heavily from a toolbox written in MATLAB® with contributions from Jennifer MacKinnon, Shaun Johnston, Daniel Rudnick, Robert Todd and others.

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History
=======

0.1.1 (2020-04-10)
------------------

* First release on PyPI.


