Matplotlib.pyplot.triplot() in Python

Matplotlib.pyplot.triplot() is a function of the matplotlib.pyplot module in Python that is used to plot a triangulation. It takes in a triangulation object and plots the edges of the triangles.

Syntax

The syntax for using the matplotlib.pyplot.triplot() function is as follows:

matplotlib.pyplot.triplot(triangulation, **kwargs)

Where the **kwargs are optional parameters that can be passed to customize the plot such as color, linestyle, linewidth, etc.

Parameters

The parameters for the matplotlib.pyplot.triplot() function are as follows:

• triangulation: This is a triangulation object that contains the vertices and the triangles that define the triangulation. This object can be created using the matplotlib.tri.Triangulation function.

• **kwargs: These are optional parameters that can be passed to customize the plot such as color, linestyle, linewidth, etc.

Example

Here's an example that demonstrates the use of the matplotlib.pyplot.triplot() function:

import matplotlib.pyplot as plt
import numpy as np
import matplotlib.tri as mtri

# Define the vertices of the triangulation
x = np.array([0,1,2])
y = np.array([0,1,0])

# Define the triangles of the triangulation
triangles = np.array([[0,1,2]])

# Create the triangulation object
triangulation = mtri.Triangulation(x,y,triangles)

# Plot the triangulation
plt.triplot(triangulation,'r-o')

# Show the plot
plt.show()

In this example, we define the vertices of the triangulation as [0, 0], [1, 1], [2, 0] and the triangles as [[0, 1, 2]]. We then create the triangulation object using the matplotlib.tri.Triangulation function and plot the triangulation using the plt.triplot() function.

Conclusion

Matplotlib.pyplot.triplot() is a useful function in the matplotlib.pyplot module that is used to plot a triangulation. It provides a simple way to visualize the triangles in a plot and customize the plot using optional parameters.