Display of 3D data#

image
# sphinx_gallery_thumbnail_path = '_static/cigvis/more_demos/010.png'

import numpy as np
import cigvis
from pathlib import Path
root = Path(__file__).resolve().parent.parent.parent


def show(d):
    # show1
    nodes1 = cigvis.create_slices(d)

    # add colorbar, method1
    nodes2 = cigvis.create_slices(d)
    nodes2 += cigvis.create_colorbar_from_nodes(nodes2, 'Amplitude', select='slices')

    # add colorbar, method2, using create_colorbar. This is the general usage.
    nodes3 = cigvis.create_slices(d, cmap='Petrel', clim=[d.min(), d.max()])
    cbar = cigvis.create_colorbar(cmap='Petrel', clim=[d.min(), d.max()], label_str='Amplitude')
    nodes3.append(cbar)

    cigvis.plot3D([nodes1, nodes2, nodes3],
                  grid=(1, 3),
                  size=(1500, 500),
                  cbar_region_ratio=0.18,
                  savename='example.png')


if __name__ == '__main__':
    sxp = root / 'data/co2/sx.dat'
    ni, nx, nt = 192, 192, 240

    sx = np.memmap(sxp, np.float32, 'c', shape=(ni, nx, nt))

    show(sx)

Total running time of the script: (0 minutes 0.000 seconds)

Gallery generated by Sphinx-Gallery