Python中的 Matplotlib.axes.Axes.get_aspect()

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.get_aspect()函数

matplotlib库的axes模块中的axes.get_aspect()函数用于获取轴缩放的方面，即y单位与x单位的比率

Syntax:Axes.get_aspect(self)

Parameters: This method does not accepts any parameters.

Return value: This method returns the aspect value.

编程需要懂一点英语

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

示例 1：

# ImpleIn Reviewtation of matplotlib function  
import matplotlib.pyplot as plt
   
fig, (ax1, ax2) = plt.subplots(1, 2)
ax1.set_xscale("log")
ax1.set_yscale("log")
ax1.set_adjustable("datalim")
ax1.plot([1, 3, 34, 4, 46, 3, 7, 45, 10],
         [1, 9, 27, 8, 29, 84, 78, 19, 48],
         "o-", color ="green")
  
ax1.set_xlim(1e-1, 1e2)
ax1.set_ylim(1, 1e2)
   
ax2.set_xscale("log")
ax2.set_yscale("log")
ax2.set_adjustable("datalim")
ax2.plot([1, 3, 34, 4, 46, 3, 7, 45, 10],
         [1, 9, 27, 8, 29, 84, 78, 19, 48],
         "o-", color ="green")
  
ax2.set_xlim(1e-1, 1e2)
ax2.set_ylim(1, 1e2)
ax2.set_aspect(2)
  
w = ax1.get_aspect()
w1 = ax2.get_aspect()
  
ax1.set_title("Axes 1\n Ratio : " +str(w))
ax2.set_title("Axes 2\n Ratio : " +str(w1))
  
fig.suptitle('matplotlib.axes.Axes.get_aspect() \
function Example\n\n', fontweight ="bold")
fig.canvas.draw()
plt.show()

输出：

示例 2：

# ImpleIn Reviewtation of matplotlib function  
import matplotlib.pyplot as plt
import matplotlib.tri as tri
import numpy as np
   
n_angles = 36
n_radii = 10
min_radius = 2
radii = np.linspace(min_radius, 0.95, n_radii)
   
angles = np.linspace(0, 2 * np.pi, n_angles, 
                     endpoint = False)
  
angles = np.repeat(angles[..., np.newaxis],
                   n_radii, axis = 1)
  
angles[:, 1::2] += 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)
fig, (ax, ax1) = plt.subplots(1, 2)
   
ax.triplot(triang, 'bo-', lw = 1, color = "green")
   
ax1.set_aspect('equal')
ax1.triplot(triang, 'bo-', lw = 1, color = "green")
  
w = ax.get_aspect()
w1 = ax1.get_aspect()
  
ax.set_title("Axes 1\n Ratio : " +str(w))
ax1.set_title("Axes 2\n Ratio : " +str(w1))
  
fig.suptitle('matplotlib.axes.Axes.get_aspect() \
function Example\n\n', fontweight ="bold")
fig.canvas.draw()
plt.show()

输出：