Python 中的 matplotlib . axis . tick . set _ path _ effects()函数
原文:https://www . geeksforgeeks . org/matplotlib-axis-tick-set _ 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 . tick . set _ path _ effects()函数
matplotlib 库的轴模块中的 Tick.set_path_effects()函数用于设置路径效果。
语法:勾选设置路径效果(自身，路径效果)
参数:该方法接受以下参数。
- path_effects: 此参数为抽象路径效果。
返回值:此方法不返回值。
以下示例说明 matplotlib . axis . tick . set _ path _ effects()函数在 matplotlib.axis: 示例 1:
Python 3
# Implementation of matplotlib function
from matplotlib.axis import Tick
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')
Tick.set_path_effects(t, [path_effects.PathPatchEffect(offset =(4, -4),
hatch ='xxxx',
facecolor ='lightgreen'),
path_effects.PathPatchEffect(edgecolor ='white',
linewidth = 1.1,
facecolor ='yellow')])
fig.suptitle('matplotlib.axis.Tick.set_path_effects() \
function Example', fontweight ="bold")
plt.show()
输出:
例 2:
Python 3
# Implementation of matplotlib function
from matplotlib.axis import Tick
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 ="r")])
Tick.set_path_effects(txt.arrow_patch, [
PathEffects.Stroke(linewidth = 5,
foreground ="r"),
PathEffects.Normal()])
ax1.grid(True, linestyle ="-")
pe = [PathEffects.withStroke(linewidth = 3,
foreground ="r")]
for l in ax1.get_xgridlines() + ax1.get_ygridlines():
Tick.set_path_effects(l, pe)
fig.suptitle('matplotlib.axis.Tick.set_path_effects() \
function Example', fontweight ="bold")
plt.show()
输出:
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