Python 中的 matplotlib.axes.axes.get_path_effects()
原文:https://www.geeksforgeeks.org/matplotlib-axes-axes-get_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.get_path_effects()函数
matplotlib 库的 Axes 模块中的 Axes.get_path_effects()函数用来获取 set_path_effects 的属性。
语法: Axes.get_path_effects(self)
参数:该方法不接受任何参数。
返回:该方法返回 set_path_effects 的属性。
下面的例子说明了 matplotlib.axes.axes.get_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')])
print("Value Return by get_path_effects() : \n")
for i in t.get_path_effects():
print(i)
fig.suptitle('matplotlib.axes.Axes.get_path_effects() \
function Example\n\n', fontweight ="bold")
plt.show()
输出:
Value Return by get_path_effects() :
<matplotlib.patheffects.PathPatchEffect object at 0x0B36CA90>
<matplotlib.patheffects.PathPatchEffect object at 0x0B36CC70>
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)
print("Value Return by get_path_effects() : \n")
for l in ax1.get_xgridlines() + ax1.get_ygridlines():
for i in l.get_path_effects():
print(i)
fig.suptitle('matplotlib.axes.Axes.get_path_effects()\
function Example\n\n', fontweight ="bold")
plt.show()
输出:
Value Return by get_path_effects() :
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>