Python中的 Matplotlib.axes.Axes.triplot()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 Axes 类包含大部分图形元素：Axis、Tick、Line2D、Text、Polygon 等，并设置坐标系。 Axes 的实例通过回调属性支持回调。

matplotlib.axes.Axes.triplot()函数

matplotlib 库的 axes 模块中的Axes.triplot()函数也用于创建非结构化三角形网格作为线和/或标记。

Syntax:

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

下面的示例说明了 matplotlib.axes 中的 matplotlib.axes.Axes.triplot()函数：

示例 1：

Axes.triplot(ax, *args, **kwargs)

输出：

示例 2：

# 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()

输出：