Matplotlib.axes.Axes.set_picker() 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_picker() Function

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

Syntax: Axes.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.axes.Axes.set_picker() function in matplotlib.axes:

Example 1:

# Implementation of matplotlib function 
import numpy as np 
np.random.seed(19680801) 
import matplotlib.pyplot as plt 
  
     
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") 
  
ax.set_picker(4) 
    
fig.suptitle('matplotlib.axes.Axes.set_picker() \ 
function Example', fontweight ="bold") 
  
plt.show() 

Output:

Example 2:

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