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Python 中的 matplotlib.axes.axes.set_path_effects()

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

matplotlib 库的 Axes 模块中的 Axes.set_path_effects()函数用于设置路径效果。

语法: Axes.set_path_effects(自身,path_effects)

参数:该方法只接受一个参数。

  • path_effects : 此参数为抽象路径效果。

返回:该方法不返回值。

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

例 1:

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.patheffects as path_effects

fig, ax = plt.subplots()
t = ax.text(0.02, 0.5,
            'GeeksForGeeks',
            fontsize = 40, 
            weight = 1000, 
            va ='center')

t.set_path_effects([path_effects.PathPatchEffect(offset =(4, -4),
                                                 hatch ='xxxx',
                                                 facecolor ='gray'),
                    path_effects.PathPatchEffect(edgecolor ='white', 
                                                 linewidth = 1.1,
                                                 facecolor ='black')])

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

plt.show()

输出:

例 2:

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.patheffects as PathEffects
import numpy as np

fig, ax1 = plt.subplots()
ax1.imshow([[1, 2], [2, 3]])

txt = ax1.annotate("Fourth",
                   (1., 1.),
                   (0., 0),
                   arrowprops = dict(arrowstyle ="->",
                                     connectionstyle ="angle3",
                                     lw = 2),
                   size = 20, ha ="center",
                   path_effects =[PathEffects.withStroke(linewidth = 3,
                                                         foreground ="w")])

txt.arrow_patch.set_path_effects([
    PathEffects.Stroke(linewidth = 5, 
                       foreground ="w"),
    PathEffects.Normal()])

ax1.grid(True, linestyle ="-")

pe = [PathEffects.withStroke(linewidth = 3,
                             foreground ="w")]

for l in ax1.get_xgridlines() + ax1.get_ygridlines():
    l.set_path_effects(pe)

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

plt.show()

输出:



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