Skip to main content

Python package to interact with Sofar wave data

Project description

Sofar Ocean API Python Client

Python toolbox to interact with Sofar Ocean Spotter API.

Requirements

  • Python3
  • pysofar
  • numpy
  • netCDF4
  • wheel (If developing/Contributing)
  • Pytest (If developing/Contributing)
  • Setuptools (If developing/Contributing)

Installation

  1. Make sure that you have the requirements listed above
  2. pip install roguewave to your desired python environment
  3. Test with python3 -c 'import roguewave'. If this runs successfully, chances are everything worked.
  4. To interact with the api's you need to add the access tokens into an environmental file. Specifically create a file called sofar_api.env in your user directory containing
WF_API_TOKEN=_wavefleet_token_
SPECTRAL_API_TOKEN=_spectral_api_token_

Examples

Retrieve Spectrum from observational Spotter API

from roguewave.spotterapi import get_spectrum
from datetime import datetime, timezone
import matplotlib.pyplot as plt

# The Spotter we want the data from
spotter_id = 'SPOT-0740'

# Start time to grab
start_date = datetime(2021,1,1,0,0,0,tzinfo=timezone.utc)

# End time
end_date = datetime(2021,1,6,0,0,0,tzinfo=timezone.utc)

# You will need a valid access token setup for the pysofar library for this to
# work. We refer to the pysofar documentation how to set that up.


# Get the spectra
spectra = get_spectrum(spotter_id,start_date,end_date)

# We now have spectra from the spotter we can interact with
for key in spectra:
    for spectrum in spectra[key]:
        string = f'The waveheight at {spectrum.timestamp} was {spectrum.hm0()} meter'
        print(string)

# or do a simple plot
plt.plot(spectra[spotter_id][0].frequency, spectra[spotter_id][0].variance_density,'k')
plt.xlabel('Frequency (hz)')
plt.ylabel('Variance Density (m$^2$/s)')
plt.yscale('log')
plt.title(f'spectrum for {spotter_id} at time {spectra[spotter_id][0].timestamp}')
plt.grid()
plt.show()

Retrieve Spectrum from model Spectral API

from roguewave.modeldata.sofarspectralapi import SofarSpectralAPI,load_sofar_spectral_file
import matplotlib.pyplot as plt

# Create an api Object
api = SofarSpectralAPI()

# Get all the points accessible for this particular user. This returns a list
# dictionaries containing latitudes and longitudes
points = api.points()

# Lets get the first point. This will download the netcdf containing the spectral
# forcast into the given directory.
file = api.download_spectral_file(**points[0], directory='./')

# Lets load the point. This will open the Netcdf file and return a Spectrum2D
# object. This object supports all the methods of the Spectrum1D object (hm0, 
# tm02, etc.)
data = load_sofar_spectral_file(file)

# Lets plot it
plt.pcolormesh(data[0].frequency, data[0].direction, data[0].variance_density)
plt.show()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

roguewave-0.1.44.tar.gz (83.9 kB view hashes)

Uploaded source

Built Distribution

roguewave-0.1.44-py3-none-any.whl (121.6 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page