PyVista demo using MNE hemis - "mosaic" effect

pyvista_brain_demo.py

import pyvista as pv
import numpy as np
from matplotlib.colors import ListedColormap


plotter = pv.Plotter(
    point_smoothing=True,
    line_smoothing=True,
    polygon_smoothing=True,
)
plotter.enable_anti_aliasing()
plotter.set_background('white')
# from: https://coolors.co/palettes/trending
cmap = [
    (38, 70, 83),
    (42, 157, 143),
    (233, 196, 106),
    (244, 162, 97),
    (231, 111, 81),
]
ctable = np.round(cmap).astype(np.uint8)
ctable = ListedColormap(ctable / 255.)

for hemi in ('lh', 'rh'):
    # from: https://github.com/mne-tools/mne-python
    surface = pv.read(f"brain_{hemi}.vtk").decimate(0.9)
    if hemi == 'lh':
        surface.translate((-100, 0, 0))
    ncells = surface.number_of_cells
    surface.cell_arrays["data"] = np.random.randint(0, len(cmap), ncells)

    plotter.add_mesh(
        mesh=surface,
        specular=1.0,
        smooth_shading=False,
        show_scalar_bar=False,
        scalars="data",
        cmap=ctable,
        silhouette=dict(color="black", line_width=4),
    )
plotter.show()