What is Spatial data in Scipy how to generate triangulations in Scipy explain with example

This recipe explains what is Spatial data in Scipy how to generate triangulations in Scipy explain with example

Recipe Objective - What is Spatial data in Scipy, How to generate triangulations in Scipy explain with example?

Spatial Data:

Any representation in a geometric space refers to spatial data. Scipy provides "scipy.spatial" method. We can compute triangulations, Voronoi diagrams, and convex hulls of a set of points by "scipy.spatial".

Delaunay triangulations:

Dividing a polygon into multiple triangle which helps to compute the area of polygon is the triangulation of polygon. Delaunay triangulation can be computed using scipy.spatial by using Delaunay() Triangulation method.

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Creating Delaunay triangulations:

import numpy as np
from scipy.spatial import Delaunay

points = np.array([
[0, 3],
[3, 6],
[0, 3],
[1, 0],
[3, 2]
])

simpli = Delaunay(points).simplices

Visualization:

import matplotlib.pyplot as plt

plt.triplot(points[:, 0], points[:, 1], simpli)
plt.scatter(points[:, 0], points[:, 1], color='g')

plt.show()

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