Python 中的 matplotlib.axis.axis.get_path_effects()函数
原文:https://www.geeksforgeeks.org/matplotlib-axis-axis-get_path_effects-python 中的函数/
Matplotlib 是 Python 中的一个库，是 NumPy 库的数值-数学扩展。这是一个神奇的 Python 可视化库，用于 2D 数组图，并用于处理更广泛的 SciPy 堆栈。
matplotlib.axis.axis.get_path_effects()函数
matplotlib 库的 Axis 模块中的 Axis.get_path_effects()函数用来获取 set_path_effects 的属性。
语法:axis.get_path_effects(self)
参数:该方法不接受任何参数。
返回值:此方法返回 set_path_effects 的属性
下面的例子说明了 matplotlib.axis.axis.get_path_effects()函数在 matplotlib.axis: 中的作用
例 1:
蟒蛇 3
# 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>
例 2:
蟒蛇 3
# 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>
