Matplotlib是Python中的一个库,它是数字的-NumPy库的数学扩展。轴类包含大多数图形元素:Axis,Tick,Line2D,Text,Polygon等,并设置坐标系。 Axes实例通过callbacks属性支持回调。
matplotlib.axes.Axes.get_path_effects()函数
matplotlib库的axiss模块中的Axes.get_path_effects()函数用于获取set_path_effects的属性。
用法: Axes.get_path_effects(self)
参数:此方法不接受任何参数。
返回:此方法返回set_path_effects的属性。
以下示例说明了matplotlib.axes中的matplotlib.axes.Axes.get_path_effects()函数:
范例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>
范例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>
相关用法
注:本文由纯净天空筛选整理自SHUBHAMSINGH10大神的英文原创作品 Matplotlib.axes.Axes.get_path_effects() in Python。非经特殊声明,原始代码版权归原作者所有,本译文未经允许或授权,请勿转载或复制。