Python Matplotlib.axis.Tick.set_path_effects()用法及代碼示例

Matplotlib是Python中的一個庫，它是數字的-NumPy庫的數學擴展。它是Python中令人驚歎的可視化庫，用於數組的2D圖，並用於與更廣泛的SciPy堆棧配合使用。

matplotlib.axis.Tick.set_path_effects()函數

matplotlib庫的軸模塊中的Tick.set_path_effects()函數用於設置路徑效果。

用法： Tick.set_path_effects(self, path_effects)

參數：此方法接受以下參數。

path_effects:此參數是AbstractPathEffect。

返回值：此方法不返回任何值。

以下示例說明了matplotlib.axis中的matplotlib.axis.Tick.set_path_effects()函數：
範例1：

Python3

# 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()

輸出：

範例2：

Python3

# 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()

輸出：

相關用法

注：本文由純淨天空篩選整理自SHUBHAMSINGH10大神的英文原創作品 Matplotlib.axis.Tick.set_path_effects() function in Python。非經特殊聲明，原始代碼版權歸原作者所有，本譯文未經允許或授權，請勿轉載或複製。