Complex image data#

Simple use of SceneCanvas to display an image consisting of complex numbers.

The left and right arrow keys can be used to cycle the view between the real, imaginary, phase, or magnitude of the data.

complex image
import sys

import numpy as np
from vispy import app, scene

def complex_ramp(size=512, phase_range=(-np.pi, np.pi), mag_range=(0, 10)):
    """Returns a complex array where X ramps phase and Y ramps magnitude."""
    p0, p1 = phase_range
    phase_ramp = np.linspace(p0, p1 - 1 / size, size)
    m0, m1 = mag_range
    mag_ramp = np.linspace(m1, m0 + 1 / size, size)
    phase_ramp, mag_ramp = np.meshgrid(phase_ramp, mag_ramp)
    return (mag_ramp * np.exp(1j * phase_ramp)).astype(np.complex64)

canvas = scene.SceneCanvas(keys="interactive",
                           title="Complex number view: phase")
canvas.size = 512, 512

# Set up a viewbox to display the image with interactive pan/zoom
view = canvas.central_widget.add_view()

# Create the image
img_data = complex_ramp()

# View it with "complex_mode=imaginary"
image = scene.visuals.ComplexImage(img_data, parent=view.scene, complex_mode="phase")

# Set 2D camera (the camera will scale to the contents in the scene) = scene.PanZoomCamera(aspect=1)

complex_modes = [
mode_index = 3

def on_key_press(event):
    global mode_index
    if event.key not in ['Left', 'Right']:

    if event.key == 'Right':
        step = 1
        step = -1
    mode_index = (mode_index + step) % len(complex_modes)
    complex_mode = complex_modes[mode_index]
    image.complex_mode = complex_mode
    canvas.title = f'Complex number view: {complex_mode}'

if __name__ == "__main__" and sys.flags.interactive == 0:

Total running time of the script: ( 0 minutes 0.842 seconds)

Gallery generated by Sphinx-Gallery