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Python Matplotlib.artist.Artist.get_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。 Artist類包含用於呈現到FigureCanvas中的對象的Abstract基類。圖中所有可見元素都是Artist的子類。

matplotlib.artist.Artist.get_path_effects()方法

matplotlib庫的藝術家模塊中的get_path_effects()方法用於獲取set_path_effects的屬性。

用法:Artist.get_path_effects(self)


參數:此方法不接受任何參數。

返回:此方法返回set_path_effects的屬性。

以下示例說明了matplotlib中的matplotlib.artist.Artist.get_path_effects()函數:

範例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()

輸出:

python-matplotlib-get-path-effects1

Value Return by get_path_effects():

<matplotlib.patheffects.PathPatchEffect object at 0x0AAAB890>
<matplotlib.patheffects.PathPatchEffect object at 0x0AAABA70>

範例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()

輸出:

python-matplotlib-get-path-effects-2

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>




注:本文由純淨天空篩選整理自SHUBHAMSINGH10大神的英文原創作品 Matplotlib.artist.Artist.get_path_effects() 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。