Python library for ocean timeseries analysis spectra.

The documentation is hosted on ReadTheDocs at https://totodoc.readthedocs.io/.

• inputs : reader function to load files.
• outputs : outputs function to save files.
• filter : filtering toolbox
• interpolation: interpolation toolbox
• selections : selection toolbox
• plugins : user defined plugins

The source code is currently hosted on GitHub at: https://github.com/calypso-science/Toto

The Wafo toolbox need to be installed: https://github.com/wafo-project/pywafo

Install requirements. Navigate to the base root of toto and execute:

pip install -r requirements.txt

Then install toto:

python setup.py install

toto methods require a Panda dataframe:

import numpy as np
import pandas as pd
import toto
dates = pd.date_range('1/1/2000', periods=360)
arr=np.random.randn(360, 2)
df = pd.DataFrame(arr,index=dates, columns=['U', 'V'])
df=df.DataTransformation.uv_to_spddir(u='U',v='V')

Download HyCOM data as a panda datafame and extract common statistics: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

import xarray
import toto
url='https://tds.hycom.org/thredds/dodsC/GLBy0.08/latest?time[0:1:100],surf_el[0:1:100][2000][3000]'
xar=xarray.open_dataset(url)
df=xar.to_dataframe()
df.reset_index(inplace=True)
df.set_index('time',inplace=True,drop=False)
df.Statistics.common_stats(mag='surf_el')