Matplotlib.artist.Artist.set_snap() in Python

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Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Artist class contains Abstract base class for objects that render into a FigureCanvas. All visible elements in a figure are subclasses of Artist.

matplotlib.artist.Artist.set_snap() method

The set_snap() method in artist module of matplotlib library is used to set the snapping behavior.

Syntax: Artist.set_snap(self, snap)

Parameters: This method accepts the following parameters.

snap: This parameter contains the boolean value or None.

Returns: This method does not return any value.

Below examples illustrate the matplotlib.artist.Artist.set_snap() function in matplotlib:

Example 1:

# Implementation of matplotlib function 
from matplotlib.artist import Artist   
import matplotlib.pyplot as plt  
from mpl_toolkits.axisartist.axislines import Subplot  
      
  
fig = plt.figure()  
      
ax = Subplot(fig, 111)  
fig.add_subplot(ax)  
      
ax.axis["left"].set_visible(False)  
ax.axis["top"].set_visible(False)  
    
Artist.set_snap(ax, True)  
  
fig.suptitle('matplotlib.artist.Artist.set_snap()\ 
function Example', fontweight ="bold")  
  
plt.show() 

Output:

Example 2:

# Implementation of matplotlib function 
from matplotlib.artist import Artist   
import numpy as np  
import matplotlib.cm as cm  
import matplotlib.pyplot as plt  
import matplotlib.cbook as cbook  
from matplotlib.path import Path  
from matplotlib.patches import PathPatch  
     
    
delta = 0.025
  
x = y = np.arange(-3.0, 3.0, delta)  
X, Y = np.meshgrid(x, y)  
  
Z1 = np.exp(-X**2 - Y**2)  
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)  
Z = (Z1 - Z2) * 2
     
path = Path([[0, 1], [1, 0], [0, -1],  
            [-1, 0], [0, 1]])  
patch = PathPatch(path, facecolor ='none')  
     
fig, ax = plt.subplots()  
ax.add_patch(patch)  
     
im = ax.imshow(Z, interpolation ='bilinear',   
               cmap = cm.gray,  
               origin ='lower',  
               extent =[-3, 3, -3, 3],  
               clip_path = patch, clip_on = True)  
  
im.set_clip_path(patch) 
    
Artist.set_snap(ax, None)  
  
fig.suptitle('matplotlib.artist.Artist.set_snap()\ 
function Example', fontweight ="bold")  
  
plt.show() 