Created
August 10, 2017 15:49
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import yt | |
import netCDF4 | |
import numpy as np | |
dataset = netCDF4.Dataset('http://www.smast.umassd.edu:8080/thredds/dodsC/FVCOM/NECOFS/Forecasts/NECOFS_FVCOM_OCEAN_MASSBAY_FORECAST.nc') | |
connectivity = dataset['nv'][:].T.astype('int64')-1 | |
x = dataset['x'][:] | |
y = dataset['y'][:] | |
coordinates = np.vstack((x, y)).T.astype('float64') | |
temp = dataset['temp'][0][0][:].astype('float64')[connectivity] | |
node_data = {('connect1', 'temperature'): (temp, 'degC')} | |
ds = yt.load_unstructured_mesh(connectivity, coordinates, node_data=node_data, | |
length_unit='m', temperature_unit='degC') | |
plot = yt.SlicePlot(ds, 2, ('connect1', 'temperature')) | |
image = plot.frb['connect1', 'temperature'] | |
image[image == 0] = np.nan | |
plot.annotate_mesh_lines(plot_args={'color': 'k', 'linewidth': 0.2}) | |
plot.set_log(('connect1', 'temperature'), False) | |
plot.save(mpl_kwargs={'dpi': 400}) |
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