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
Download the zip file and unzip it; or, much better, clone the git repository. In either case, change your directory to the newly-created utide
distribution directory.
python setup.py install
or
python setup.py install --user
if you don't want a system-wide installation.
If you want to work on developing the package, then
python setup.py develop
will allow you to test without reinstalling after making a modification.
Another option is to use
pip install .
If you are using conda and will not be developing the code, you can install from the IOOS channel. See https://github.com/ioos/conda-recipes/wiki.
The public functions can be imported using
from utide import solve, reconstruct
To test and make sure that the package has been installed and imported correctly, run:
from utide.tests.test_solve import test_roundtrip
test_roundtrip()
If you have the pytest package installed, you can execute python setup.py test
from within the source directory to run all tests.
A sample call would be
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 folder.