%matplotlib widget
import matplotlib.pyplot as plt
plt.ioff()
# turn of warnings
import warnings
warnings.filterwarnings('ignore')
Here we transform a field to a log-normal distribution:
See transform.normal_to_lognormal
import gstools as gs
# structured field with a size of 100x100 and a grid-size of 1x1
x = y = range(101)
model = gs.Gaussian(dim=2, var=1, len_scale=10)
srf = gs.SRF(model, seed=20220425)
srf.structured([x, y])
srf.transform("normal_to_lognormal") # also "lognormal" works
srf.plot()
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