%matplotlib widget
import matplotlib.pyplot as plt
plt.ioff()
# turn of warnings
import warnings
warnings.filterwarnings('ignore')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) * 100.0Only 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)
plotter.plot()Loading...