Note
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Logarithmic energy density#
The as_log10 option to plot the \(\log{E_{d}(f,d)}\) has been deprecated but similar result can be achieved by calculating the \(\log{E_{d}(f,d)}\) beforehand:
import numpy as np
import matplotlib.pyplot as plt
import cmocean
from wavespectra import read_era5
dset = read_era5("../_static/era5file.nc")
ds = dset.isel(lat=0, lon=0, time=0)
ds = ds.where(ds>0, 1e-5) # Avoid infinity values
ds = np.log10(ds)
p = ds.spec.plot(
as_period=True,
logradius=False,
cbar_kwargs={"label": "Normalised $\log{E_{d}(f,d)}$"},
vmin=0.39,
levels=15,
extend="both",
cmap=cmocean.cm.thermal,
)
Total running time of the script: (0 minutes 0.675 seconds)