Note
Click here to download the full example code
Add vectorsΒΆ
This example generates an image of vectors Vector data is an array of shape (N, 4) Each vector position is defined by an (x, y, x-proj, y-proj) element where * x and y are the center points * x-proj and y-proj are the vector projections at each center
import napari
from skimage import data
import numpy as np
# create the viewer and window
viewer = napari.Viewer()
layer = viewer.add_image(data.camera(), name='photographer')
# sample vector coord-like data
n = 200
pos = np.zeros((n, 2, 2), dtype=np.float32)
phi_space = np.linspace(0, 4 * np.pi, n)
radius_space = np.linspace(0, 100, n)
# assign x-y position
pos[:, 0, 0] = radius_space * np.cos(phi_space) + 300
pos[:, 0, 1] = radius_space * np.sin(phi_space) + 256
# assign x-y projection
pos[:, 1, 0] = 2 * radius_space * np.cos(phi_space)
pos[:, 1, 1] = 2 * radius_space * np.sin(phi_space)
# add the vectors
layer = viewer.add_vectors(pos, edge_width=3)
if __name__ == '__main__':
napari.run()