Python 中的 matplotlib . artist . artist . get _ path _ effects()
原文:https://www . geesforgeks . org/matplotlib-artist-artist-get _ path _ effects-in-python/
Matplotlib 是 Python 中的一个库，是 NumPy 库的数值-数学扩展。艺术家类包含抽象基类，用于渲染到图形画布中的对象。图形中所有可见的元素都是艺术家的子类。
matplotlib . artist . artist . get _ path _ effects()方法
matplotlib 库的 artist 模块中的 get_path_effects()方法用于获取 set_path_effects 的属性。
语法:artist . 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。
以下示例说明了 matplotlib 中的 matplotlib . artist . artist . get _ path _ effects()函数:
例 1:
# Implementation of matplotlib function
from matplotlib.artist import Artist
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 Artist.get_path_effects(t):
print(i)
fig.suptitle('matplotlib.artist.Artist.get_path_effects()\
function Example', fontweight ="bold")
plt.show()
输出:
Value Return by get_path_effects() :
<matplotlib.patheffects.PathPatchEffect object at 0x0AAAB890>
<matplotlib.patheffects.PathPatchEffect object at 0x0AAABA70>
例 2:
# Implementation of matplotlib function
from matplotlib.artist import Artist
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 Artist.get_path_effects(l):
print(i)
fig.suptitle('matplotlib.artist.Artist.get_path_effects()\
function Example', fontweight ="bold")
plt.show()
输出:
Value Return by get_path_effects() :
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
<matplotlib.patheffects.withStroke object at 0x0A66DBD0>
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