dnplot 💻
dnplot is a tool designed for the visualization of dnora objects, such as 🌬️ wind, 🌊 wave and ocean current data.
Quick Installation 🚀
Ready to dive in? You can easily install dnplot using pip:
$ pip install dnplot
Examples
To quickly visualize the wave data outputted by SWAN to a netcdf file:
import dnplot
from dnora.wavegrid import WaveGrid
data = WaveGrid.from_netcdf('model_output.nc')
point = data.sel(lon=5.25, lat=62.3, method='nearest') # Pick just one point
# The dict could be a dnora ModelRun object containing the data
plot = dnplot.Matplotlib({'wavegrid': data, 'waveseries': point})
# default value for var=["hs", ("tm01", "tm02"), "dirm"]
plot.waveseries(var=['hs', ('tp','tm01'), 'dirp'])
plot.wavegrid('hs', contour=False)
To interactively compare spectra from a model with several locations with buoy measurements:
import dnora as dn
import dnplot
model = dn.modelrun.ModelRun(year=2020)
model.import_spectra(filename="nora3.nc", name="NORA3")
model.spectra_to_1d()
buoy = dn.modelrun.ModelRun(year=2020, month=2, day=5)
buoy.import_spectra1d(filename="spec_E39_D_1h.nc", name="Breisundet")
plot = dnplot.Plotly(buoy, model)
plot.spectra()
Docs 📚
Looking for more details? Our documentation (currently under development) provides information about the package, its features, and how to use it. Explore it here.
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