Point Cloud

In this example, we generate a dataset of 3D Points on a uniformly sampled sphere, and display it with a PointCloud object.

By default, a BaseMesh that does not have the color_field provided will generate a color_field of np.zeros(n, 1), and will set the default color to ‘white’.

import vivid3d
import numpy as np

# generating data
points = []
for i in range(10000): # sample random point on sphere
    u = np.random.normal(0,1)
    v = np.random.normal(0,1)
    w = np.random.normal(0,1)
    norm = (u*u + v*v + w*w)**(0.5)
    x,y,z = u/norm,v/norm,w/norm
    points.append([x,y,z])

point_cloud = vivid3d.PointCloud(points) # Create a PointCloud from the data
point_cloud.show()

Just like all other BaseMeshes, PointClouds can be given a optional color_field array that maps each point to a colormap.

# Creating an array of 10000 scalars with random value from uniform distribution [0, 1]
colors = np.random.rand(10000)

point_cloud_colored = vivid3d.PointCloud(points, colors) # PointCloud with color_field
point_cloud_colored.show()