Matplotlib是Python中的一个库,它是数字的-NumPy库的数学扩展。它是Python中令人惊叹的可视化库,用于数组的2D图,并用于与更广泛的SciPy堆栈配合使用。
Matplotlib.axis.Axis.get_path_effects()函数
matplotlib库的轴模块中的Axis.get_path_effects()函数用于获取set_path_effects的属性。
用法: Axis.get_path_effects(self)
参数:此方法不接受任何参数。
返回值:此方法返回set_path_effects的属性
以下示例说明了matplotlib.axis中的matplotlib.axis.Axis.get_path_effects()函数:
范例1:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
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 Axis.get_path_effects(t):
print(i)
fig.suptitle("""matplotlib.axis.Axis.get_path_effects()
function Example\n""", fontweight ="bold")
plt.show()
输出:
Value Return by get_path_effects(): <matplotlib.patheffects.PathPatchEffect object at 0x0A6EDBD0> <matplotlib.patheffects.PathPatchEffect object at 0x0A6EDDB0>
范例2:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
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 Axis.get_path_effects(l):
print(i)
fig.suptitle("""matplotlib.axis.Axis.get_path_effects()
function Example\n""", fontweight ="bold")
plt.show()
输出:
Value Return by get_path_effects(): <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50> <matplotlib.patheffects.withStroke object at 0x0A98EF50>
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注:本文由纯净天空筛选整理自SHUBHAMSINGH10大神的英文原创作品 Matplotlib.axis.Axis.get_path_effects() function 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。