Matplotlib.artist.Artist.set_snap() in Python

Last Updated : 10 May, 2020

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:

Python3 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:

Python3 1==

# 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()