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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