# Examples from pyvista.PointSet.threshold
# ========================================

import pyvista as pv
import numpy as np
volume = np.zeros([10, 10, 10])
volume[:3] = 1
vol = pv.wrap(volume)
threshed = vol.threshold(0.1)
threshed

# Apply the threshold filter to Perlin noise.  First generate
# the structured grid.
import pyvista as pv
noise = pv.perlin_noise(0.1, (1, 1, 1), (0, 0, 0))
grid = pv.sample_function(
    noise, bounds=[0, 1.0, -0, 1.0, 0, 1.0], dim=(20, 20, 20)
)
grid.plot(
    cmap='gist_earth_r',
    show_scalar_bar=True,
    show_edges=False,
)

# Next, apply the threshold.
import pyvista as pv
noise = pv.perlin_noise(0.1, (1, 1, 1), (0, 0, 0))
grid = pv.sample_function(
    noise, bounds=[0, 1.0, -0, 1.0, 0, 1.0], dim=(20, 20, 20)
)
threshed = grid.threshold(value=0.02)
threshed.plot(
    cmap='gist_earth_r',
    show_scalar_bar=False,
    show_edges=True,
)

# See Using Common Filters and Image Data Representations
# for more examples using this filter.

# ----------------------------------------------------------------------
# Generated by sphinx-examples-as-code https://github.com/pyvista/sphinx-examples-as-code