Note
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3D Paths¶
Display two vectors layers ontop of a 4-D image layer. One of the vectors layers is 3D and “sliced” with a different set of vectors appearing on different 3D slices. Another is 2D and “broadcast” with the same vectors appearing on each slice.
Path (2, 6, 3)
import numpy as np
from skimage import data
import napari
blobs = data.binary_blobs(
length=128, blob_size_fraction=0.05, n_dim=3, volume_fraction=0.05
)
viewer = napari.Viewer(ndisplay=3)
viewer.add_image(blobs.astype(float))
# sample vector coord-like data
path = np.array([np.array([[0, 0, 0], [0, 10, 10], [0, 5, 15], [20, 5, 15],
[56, 70, 21], [127, 127, 127]]),
np.array([[0, 0, 0], [0, 10, 10], [0, 5, 15], [0, 5, 15],
[0, 70, 21], [0, 127, 127]])])
print('Path', path.shape)
layer = viewer.add_shapes(
path, shape_type='path', edge_width=4, edge_color=['red', 'blue']
)
if __name__ == '__main__':
napari.run()