Note
Go to the end to download the full example as a Python script or as a Jupyter notebook..
Image depth#
Display a 3D image and 3D points layer to show how napari handles depth.
The default blending for images is translucent_no_depth, which ignores depth and always draws the layer on top of lower layers. Switching to translucent allows objects in this layer to disappear behind objects in other layers depending on the distance from the camera.

import numpy as np
import napari
im_data = np.zeros((50, 50, 50))
im_data[30:40, 25:35, 25:35] = 1
viewer = napari.Viewer()
layer = viewer.add_image(im_data, colormap='magenta', rendering='iso', blending='translucent')
viewer.add_image(im_data, colormap='green', rendering='iso', blending='translucent', translate=(30, 0, 0))
points_data = [
[50, 30, 30],
[25, 30, 30],
[75, 30, 30]
]
viewer.add_points(points_data, size=4)
viewer.dims.ndisplay = 3
viewer.camera.angles = (0, -30, 10)
viewer.fit_to_view()
if __name__ == '__main__':
napari.run()