Python 中的 matplotlib . axes . axes . use _ sticky _ edges()
原文:https://www . geeksforgeeks . org/matplotlib-axes-axes-use _ sticky _ edges-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 . use _ sticky _ edges()函数
matplotlib 库的 Axes 模块中的 Axes.use_sticky_edges()函数用于判断是否服从所有的 Artist.sticky_edges。
语法:
Axes.use_sticky_edges
下面的例子说明了 matplotlib.axes . axes . use _ sticky _ edges()函数在 matplotlib . axes 中的作用:
例 1:
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
y, x = np.mgrid[:6, 1:6]
poly_coords = [
(0.25, 2.75), (3.25, 2.75),
(2.25, 0.75), (0.25, 0.75)
]
fig, ax = plt.subplots()
ax.use_sticky_edges = False
ax.pcolor(x, y, y + 20 * x, cmap ='Greens')
ax.margins(x = 0.1, y = 0.05)
ax.set_aspect('equal')
fig.suptitle('matplotlib.axes.Axes.use_sticky_edges() \
function Example\n', fontweight ="bold")
fig.canvas.draw()
plt.show()
输出:
例 2:
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
y, x = np.mgrid[:6, 1:6]
poly_coords = [
(0.25, 2.75), (3.25, 2.75),
(2.25, 0.75), (0.25, 0.75)
]
fig, (ax1, ax2) = plt.subplots(nrows = 2)
ax2.use_sticky_edges = False
for ax, status in zip((ax1, ax2),
('Is', 'Is Not')):
# sticky
cells = ax.pcolor(x, y, x + y,
cmap ='PuBuGn')
ax.add_patch(
plt.Polygon(poly_coords, color ='green',
alpha = 0.5)
) # not sticky
ax.margins(x = 0.1, y = 0.05)
ax.set_aspect('equal')
ax.set_title('use_sticky_edges() function {} used'.format(status),
fontweight ="bold")
fig.suptitle('matplotlib.axes.Axes.use_sticky_edges() function \
Example\n', fontweight ="bold")
fig.canvas.draw()
plt.show()
输出:
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