UTide
=====
|travis| |license| |conda| |downloads| |anaconda_cloud| |appveyor|
.. |travis| image:: https://travis-ci.org/wesleybowman/UTide.svg?branch=master
:target: https://travis-ci.org/wesleybowman/UTide
.. |license| image:: https://anaconda.org/conda-forge/utide/badges/license.svg
:target: https://choosealicense.com/licenses/mit/
.. |conda| image:: https://anaconda.org/conda-forge/utide/badges/installer/conda.svg
:target: https://anaconda.org/conda-forge/utide
.. |downloads| image:: https://anaconda.org/conda-forge/utide/badges/downloads.svg
:target: https://anaconda.org/conda-forge/utide
.. |anaconda_cloud| image:: https://anaconda.org/conda-forge/utide/badges/version.svg
:target: https://anaconda.org/conda-forge/utide
.. |appveyor| image:: https://ci.appveyor.com/api/projects/status/4o163ma4ehhr3q48/branch/master?svg=true
:target: https://ci.appveyor.com/project/wesleybowman/utide/branch/master
Python re-implementation of the Matlab package UTide.
Still in heavy development--everything is subject to change!
Note: the user interface differs from the Matlab version, so
consult the Python function docstrings to see how to specify
parameters. Some functionality from the Matlab version is
not yet available. For more information see:
::
Codiga, D.L., 2011. Unified Tidal Analysis and Prediction Using the
UTide Matlab Functions. Technical Report 2011-01. Graduate School
of Oceanography, University of Rhode Island, Narragansett, RI.
59pp. ftp://www.po.gso.uri.edu/pub/downloads/codiga/pubs/
2011Codiga-UTide-Report.pdf
UTide v1p0 9/2011 d.codiga@gso.uri.edu
http://www.po.gso.uri.edu/~codiga/utide/utide.htm
Installation
============
.. code:: shell
pip install utide
If you are using conda,
.. code:: shell
conda install utide -c conda-forge
The public functions can be imported using
.. code:: python
from utide import solve, reconstruct
A sample call would be
.. code:: python
from utide import solve
coef = solve(time, time_series_u, time_series_v,
lat=30,
nodal=False,
trend=False,
method='ols',
conf_int='linear',
Rayleigh_min=0.95,)
For more examples see the
`notebooks <https://nbviewer.jupyter.org/github/wesleybowman/UTide/tree/master/notebooks/>`__
folder.
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"description": "UTide\n=====\n|travis| |license| |conda| |downloads| |anaconda_cloud| |appveyor|\n\n.. |travis| image:: https://travis-ci.org/wesleybowman/UTide.svg?branch=master\n :target: https://travis-ci.org/wesleybowman/UTide\n\n.. |license| image:: https://anaconda.org/conda-forge/utide/badges/license.svg\n :target: https://choosealicense.com/licenses/mit/\n\n.. |conda| image:: https://anaconda.org/conda-forge/utide/badges/installer/conda.svg\n :target: https://anaconda.org/conda-forge/utide\n\n.. |downloads| image:: https://anaconda.org/conda-forge/utide/badges/downloads.svg\n :target: https://anaconda.org/conda-forge/utide\n\n.. |anaconda_cloud| image:: https://anaconda.org/conda-forge/utide/badges/version.svg\n :target: https://anaconda.org/conda-forge/utide\n\n.. |appveyor| image:: https://ci.appveyor.com/api/projects/status/4o163ma4ehhr3q48/branch/master?svg=true\n :target: https://ci.appveyor.com/project/wesleybowman/utide/branch/master\n\n\nPython re-implementation of the Matlab package UTide.\n\nStill in heavy development--everything is subject to change!\n\nNote: the user interface differs from the Matlab version, so\nconsult the Python function docstrings to see how to specify\nparameters. Some functionality from the Matlab version is\nnot yet available. For more information see:\n\n::\n\n Codiga, D.L., 2011. Unified Tidal Analysis and Prediction Using the\n UTide Matlab Functions. Technical Report 2011-01. Graduate School\n of Oceanography, University of Rhode Island, Narragansett, RI.\n 59pp. ftp://www.po.gso.uri.edu/pub/downloads/codiga/pubs/\n 2011Codiga-UTide-Report.pdf\n\n UTide v1p0 9/2011 d.codiga@gso.uri.edu\n http://www.po.gso.uri.edu/~codiga/utide/utide.htm\n\nInstallation\n============\n\n.. code:: shell\n\n pip install utide\n\nIf you are using conda,\n\n.. code:: shell\n\n conda install utide -c conda-forge\n\n\nThe public functions can be imported using\n\n.. code:: python\n\n from utide import solve, reconstruct\n\nA sample call would be\n\n.. code:: python\n\n from utide import solve\n\n coef = solve(time, time_series_u, time_series_v,\n lat=30,\n nodal=False,\n trend=False,\n method='ols',\n conf_int='linear',\n Rayleigh_min=0.95,)\n\n\nFor more examples see the\n`notebooks <https://nbviewer.jupyter.org/github/wesleybowman/UTide/tree/master/notebooks/>`__\nfolder.\n\n\n",
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