matplotlib . axes . get _ aspect()用 Python
表示
哎哎哎:# t0]https://www . geeksforgeeks . org/matplot lib-axes-get _ aspect-in-python/
Matplotlib 是 Python 中的一个库，是 NumPy 库的数值-数学扩展。轴类包含了大部分的图形元素:轴、刻度、线二维、文本、多边形等。，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纵横比，即 y 单位与 x 单位的比值
语法: Axes.get_aspect(self)
参数:该方法不接受任何参数。
返回值:此方法返回方面值。
下面的例子说明了 matplotlib.axes . axes . get _ aspect()函数在 matplotlib . axes 中的作用:
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:
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:
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