Matplotlib.pyplot.triplot() in python (original) (raw)

Last Updated : 19 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot, etc.

matplotlib.pyplot.triplot() Function:

The triplot() function in pyplot module of matplotlib library is used to draw a unstructured triangular grid as lines and/or markers.

Syntax: matplotlib.pyplot.triplot(*args, **kwargs)

Parameters: This method accept the following parameters that are described below:

All remaining args and kwargs are the same as for matplotlib.pyplot.plot().

Returns: This returns the list of 2 Line2D containing following:

Below examples illustrate the matplotlib.pyplot.triplot() function in matplotlib.pyplot:

Example 1:

import matplotlib.pyplot as plt

import matplotlib.tri as mtri

import numpy as np

x = np.asarray([ 0 , 1 , 2 , 3 , 0.5 , 1.5 ,

`` 2.5 , 1 , 2 , 1.5 ])

y = np.asarray([ 0 , 0 , 0 , 0 , 1.0 ,

`` 1.0 , 1.0 , 2 , 2 , 3.0 ])

triangles = [[ 0 , 1 , 4 ], [ 1 , 2 , 5 ],

`` [ 2 , 3 , 6 ], [ 1 , 5 , 4 ],

`` [ 2 , 6 , 5 ], [ 4 , 5 , 7 ],

`` [ 5 , 6 , 8 ], [ 5 , 8 , 7 ],

`` [ 7 , 8 , 9 ]]

triang = mtri.Triangulation(x, y, triangles)

z = np.cos( 1.5 * x) * np.cos( 1.5 * y)

plt.tricontourf(triang, z)

plt.triplot(triang, 'go-' )

plt.title( 'matplotlib.pyplot.triplot() Example' )

plt.show()

Output:

Example 2:

import matplotlib.pyplot as plt

import matplotlib.tri as tri

import numpy as np

n_angles = 24

n_radii = 9

min_radius = 0.5

radii = np.linspace(min_radius, 0.9 ,

`` n_radii)

angles = np.linspace( 0 , 3 * np.pi, n_angles,

`` endpoint = False )

angles = np.repeat(angles[..., np.newaxis],

`` n_radii, axis = 1 )

angles[:, 1 :: 2 ] + = np.pi / n_angles

x = (radii * np.cos(angles)).flatten()

y = (radii * np.sin(angles)).flatten()

triang = tri.Triangulation(x, y)

triang.set_mask(np.hypot(x[triang.triangles].mean(axis = 1 ),

`` y[triang.triangles].mean(axis = 1 ))

`` < min_radius)

plt.triplot(triang, 'go-' , lw = 1 )

plt.title( 'matplotlib.pyplot.triplot() Example' )

plt.show()

Output:

Similar Reads