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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:

蟒蛇 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:

蟒蛇 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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