Matplotlib.axes.Axes.set_snap() in Python

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Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.set_snap() Function

The Axes.set_snap() function in axes module of matplotlib library is used to set the snapping behavior.

Syntax: Axes.set_snap(self, snap)

Parameters: This method accepts only one parameters.

snap: This parameter contains the boolean value or None.

Returns: This method does not return any value.

Below examples illustrate the matplotlib.axes.Axes.set_snap() function in matplotlib.axes:

Example 1:

# Implementation of matplotlib function 
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) 
  
ax.set_snap(True) 
  
fig.suptitle('matplotlib.axes.Axes.set_snap() \ 
function Example\n', fontweight ="bold") 
  
plt.show() 

Output:

Example-2:

# Implementation of matplotlib function 
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) 
  
ax.set_snap(None) 
  
fig.suptitle('matplotlib.axes.Axes.set_snap() function\ 
 Example', fontweight ="bold") 
  
plt.show() 