Complete the code to import the Voronoi class from scipy.spatial.
from scipy.spatial import [1] points = [[1, 2], [3, 4], [5, 6]] vor = Voronoi(points)
The Voronoi class is used to create Voronoi diagrams from points.
Complete the code to create a Voronoi diagram from the points list.
points = [[0, 0], [1, 0], [0, 1], [1, 1]] vor = [1](points)
We use Voronoi(points) to create the Voronoi diagram from the points.
Fix the error in accessing the Voronoi vertices attribute.
import numpy as np from scipy.spatial import Voronoi points = np.array([[2, 3], [5, 4], [3, 7]]) vor = Voronoi(points) vertices = vor.[1]
The Voronoi vertices are stored in the vertices attribute of the Voronoi object.
Fill both blanks to create a dictionary of region indices to their vertex coordinates.
regions = {i: [vor.[1][v] for v in region] for i, region in enumerate(vor.[2]) if -1 not in region}The regions attribute contains lists of vertex indices for each region. We use vertices to get the coordinates of those vertices.
Fill all three blanks to create a list of ridge vertex pairs for edges between points.
ridge_list = [[vor.[1][0], vor.[1][1]] for vor.[2] in vor.[3] if -1 not in vor.[1]]
The ridge_vertices attribute contains pairs of vertex indices for edges. The ridge_points attribute contains pairs of input points that share those edges.