Matplotlib.axes.Axes.triplot () в Python

Опубликовано: 23 Марта, 2022

Matplotlib - это библиотека на Python, которая является численно-математическим расширением библиотеки NumPy. Класс Axes содержит большинство элементов фигуры: Axis, Tick, Line2D, Text, Polygon и т. Д. И задает систему координат. А экземпляры Axes поддерживают обратные вызовы через атрибут callbacks.

Функция matplotlib.axes.Axes.triplot ()

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

Syntax:
Axes.triplot(ax, *args, **kwargs)
Parameters: This method accept the following parameters that are described below:
x, y: These parameter are the x and y coordinates of the data which is to be plot.
triangulation: This parameter is a matplotlib.tri.Triangulation object.
**kwargs: This parameter is Text properties that is used to control the appearance of the labels.
All remaining args and kwargs are the same as for matplotlib.pyplot.plot().
Returns: This returns the list of 2 Line2D containing following:
The lines plotted for triangles edges.
The markers plotted for triangles nodes

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

Example-1:

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.tri as mtri
import numpy as np
    
# Create triangulation.
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, 5, 4], [2, 6, 5], [4, 5, 7],
             [5, 6, 8], [5, 8, 7], [7, 8, 9], [1, 2, 5],
             [2, 3, 6]]
  
triang = mtri.Triangulation(x, y, triangles)
z = np.cos(1.5 * x) * np.cos(1.5 * y)
    
fig, axs = plt.subplots()
axs.tricontourf(triang, z)
axs.triplot(triang, "go-", color ="white")
fig.tight_layout()
    
axs.set_title("matplotlib.axes.Axes.triplot() Example")
plt.show()

Output:

Example-2:

# Implementation of matplotlib function
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, 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)
   
fig1, ax1 = plt.subplots()
ax1.set_aspect("equal")
ax1.triplot(triang, "go-", lw = 2)
ax1.set_title("matplotlib.axes.Axes.triplot() Example")
plt.show()

Output:

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Matplotlib.axes.Axes.triplot () в Python

Функция matplotlib.axes.Axes.triplot ()

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