Python 中的 matplotlib.axes.axes.get_clip_box()

原文:https://www.geeksforgeeks.org/matplotlib-axes-axes-get_clip_box-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_clip_box()函数

matplotlib 库的 Axes 模块中的 Axes.get_clip_box()函数用来获取 clipbox。

语法: Axes.get_clip_box(self)

参数:该方法不接受任何参数。

返回:该方法返回动画状态。

下面的例子说明了 matplotlib.axes.axes.get_clip_box()函数在 matplotlib.axes 中的作用:

例 1:

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Ellipse

delta = 45.0

angles = np.arange(0, 360 + delta, delta)
ells = [Ellipse((2, 2), 5, 2, a) for a in angles]

fig, ax = plt.subplots()

print("Value Return by get_clip_box()")
for e in ells:
    e.set_clip_box(ax.bbox)
    print(e.get_clip_box())
    e.set_alpha(0.1)
    ax.add_artist(e)

plt.xlim(-1, 5)
plt.ylim(-1, 5)

fig.suptitle('matplotlib.axes.Axes.get_clip_box() \
function Example\n\n', fontweight ="bold")

plt.show()

输出:

Value Return by get_clip_box()
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100\.   0\.   0.]
                 [  0\. 100\.   0.]
                 [  0\.   0\.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100\.   0\.   0.]
                 [  0\. 100\.   0.]
                 [  0\.   0\.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100\.   0\.   0.]
                 [  0\. 100\.   0.]
                 [  0\.   0\.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100\.   0\.   0.]
                 [  0\. 100\.   0.]
                 [  0\.   0\.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100\.   0\.   0.]
                 [  0\. 100\.   0.]
                 [  0\.   0\.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100\.   0\.   0.]
                 [  0\. 100\.   0.]
                 [  0\.   0\.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100\.   0\.   0.]
                 [  0\. 100\.   0.]
                 [  0\.   0\.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100\.   0\.   0.]
                 [  0\. 100\.   0.]
                 [  0\.   0\.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100\.   0\.   0.]
                 [  0\. 100\.   0.]
                 [  0\.   0\.   1.]]))))

例 2:

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Ellipse

NUM = 200

ells = [Ellipse(xy = np.random.rand(2) * 10,
                width = np.random.rand(),
                height = np.random.rand(),
                angle = np.random.rand() * 360)
        for i in range(NUM)]

fig, ax = plt.subplots(subplot_kw ={'aspect': 'equal'})

print("Value Return by get_clip_box()")
x = 0

for e in ells:
    ax.add_artist(e)
    e.set_clip_box(ax.bbox)
    e.set_alpha(np.random.rand())
    e.set_facecolor(np.random.rand(4))
    if x<2:
        print(e.get_clip_box())
        x+= 1

ax.set_xlim(3, 7)
ax.set_ylim(3, 7)

fig.suptitle('matplotlib.axes.Axes.get_clip_box()\
 function Example\n\n', fontweight ="bold")

plt.show()

输出:

Value Return by get_clip_box()
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100\.   0\.   0.]
                 [  0\. 100\.   0.]
                 [  0\.   0\.   1.]]))))
TransformedBbox(
    Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),
    BboxTransformTo(
        TransformedBbox(
            Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),
            Affine2D(
                [[100\.   0\.   0.]
                 [  0\. 100\.   0.]
                 [  0\.   0\.   1.]]))))

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