Matplotlib.axes.Axes.get_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.get_picker() Function

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

Syntax: Axes.get_picker(self)

Parameters: This method does not accept any parameters.

Returns: This method the picking behavior of the artist.

Below examples illustrate the matplotlib.axes.Axes.get_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(7, 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, 
                     amount, 
                     c = ranking, 
                     s = price*3, 
                     vmin = -3,  
                     vmax = 3, 
                     cmap = "Spectral") 
   
legend1 = ax.legend(*scatter.legend_elements(num=5), 
                    loc = "upper left", 
                    title = "Ranking") 
  
ax.add_artist(legend1) 
    
ax.text(8, 8,"Value return : " + str(ax.get_picker()), 
        fontweight = "bold", 
        fontsize=18) 
     
fig.suptitle('matplotlib.axes.Axes.get_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-', picker = 5) 
  
ax.set_picker(True) 
   
ax.text(0.48, 0.3, "Value return : " + str(ax.get_picker()), 
        fontweight = "bold", 
        fontsize = 18) 
    
fig.suptitle('matplotlib.axes.Axes.get_picker()\ 
function Example', fontweight ="bold") 
  
plt.show() 