Matplotlib.artist.Artist.set_picker() 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_picker() method

The set_picker() method in artist module of matplotlib library is used to define the picking behavior of the artist.

Syntax: Artist.set_picker(self, picker)

Parameters: This method accept the following parameters as discussed below:

picker : This parameter is used to set picking behavior. This can be None or bool or float or function.

Returns: This method the picking behavior of the artist.

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

Example 1:

# Implementation of matplotlib function 
from matplotlib.artist import Artist 
import numpy as np  
import matplotlib.pyplot as plt  
       
  
np.random.seed(19680801)  
  
volume = np.random.rayleigh(27, size = 40)  
amount = np.random.poisson(7, size = 40)  
ranking = np.random.normal(size = 40)  
price = np.random.uniform(1, 7, size = 40)  
       
fig, ax = plt.subplots()  
       
scatter = ax.scatter(volume * 2,   
                     amount**3,  
                     c = ranking**3,  
                     s = price**3,  
                     vmin = -3,  
                     vmax = 3,  
                     cmap ="Spectral")  
    
Artist.set_picker(ax, picker = 4)  
          
fig.suptitle('matplotlib.artist.Artist.set_picker()\ 
function Example', fontweight ="bold")  
  
plt.show() 

Output:

Example 2:

# Implementation of matplotlib function 
from matplotlib.artist import Artist 
import numpy as np  
import matplotlib.pyplot as plt  
  
    
X = np.random.rand(10, 200)  
xs = np.mean(X, axis = 1)  
ys = np.std(X, axis = 1)  
    
fig = plt.figure()  
ax = fig.add_subplot(111)  
line, = ax.plot(xs, ys, 'go-')  
    
Artist.set_picker(ax, picker = True)  
          
fig.suptitle('matplotlib.artist.Artist.set_picker()\ 
 function Example', fontweight ="bold")  
  
plt.show() 