Python 中的 matplotlib . artist . artist . set _ path _ effects()
原文:https://www . geesforgeks . org/matplotlib-artist-artist-set _ 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 . set _ path _ effects()方法
matplotlib 库的 artist 模块中的 set_path_effects()方法用于设置路径效果。
语法:artist . set _ path_effects(self，path _ effects)
参数:该方法接受以下参数。
- path_effects : 此参数是抽象路径效果..
返回:该方法不返回值。
下面的例子说明了 matplotlib 中的 matplotlib . artist . artist . set _ 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')
Artist.set_path_effects(t, [path_effects.PathPatchEffect(offset =(4, -4),
hatch ='xxxx',
facecolor ='lightgreen'),
path_effects.PathPatchEffect(edgecolor ='white',
linewidth = 1.1,
facecolor ='green')])
fig.suptitle('matplotlib.artist.Artist.set_path_effects()\
function Example', fontweight ="bold")
plt.show()
输出:
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 Qaud",
(1., 1.),
(0., 0),
arrowprops = dict(arrowstyle ="->",
connectionstyle ="angle3",
lw = 2),
size = 20, ha ="center",
path_effects =[PathEffects.withStroke(linewidth = 3,
foreground ="w")])
Artist.set_path_effects(txt.arrow_patch, [
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():
Artist.set_path_effects(l, pe)
fig.suptitle('matplotlib.artist.Artist.set_path_effects()\
function Example', fontweight ="bold")
plt.show()
输出:
版权属于：月萌API www.moonapi.com，转载请注明出处
