Transform 22

Standalone Field class

%matplotlib widget
import matplotlib.pyplot as plt
# turn of warnings
import warnings

The Field class of GSTools can be used to plot arbitrary data in nD.

In the following example we will produce 10000 random points in 4D with random values and plot them.

import numpy as np
import gstools as gs

rng = np.random.RandomState(19970221)
x0 = rng.rand(10000) * 100.0
x1 = rng.rand(10000) * 100.0
x2 = rng.rand(10000) * 100.0
x3 = rng.rand(10000) * 100.0
values = rng.rand(10000) * 100.0

Only thing needed to instantiate the Field is the dimension.

Afterwards we can call the instance like all other Fields (SRF, Krige or CondSRF), but with an additional field.

plotter = gs.field.Field(dim=4)
plotter(pos=(x0, x1, x2, x3), field=values)