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nD points¶
Display one points layer on top of one 4-D image layer using the add_points and add_image APIs, where the markes are visible as nD objects across the dimensions, specified by their size
import numpy as np
from skimage import data
import napari
blobs = np.stack(
[
data.binary_blobs(
length=128, blob_size_fraction=0.05, n_dim=3, volume_fraction=f
)
for f in np.linspace(0.05, 0.5, 10)
],
axis=0,
)
viewer = napari.view_image(blobs.astype(float))
# add the points
points = np.array(
[
[0, 0, 100, 100],
[0, 0, 50, 120],
[1, 0, 100, 40],
[2, 10, 110, 100],
[9, 8, 80, 100],
], dtype=float
)
viewer.add_points(
points, size=10, face_color='blue', out_of_slice_display=True
)
if __name__ == '__main__':
napari.run()