Matplotlib.axis.Axis.get_picker() function in Python

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Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

Matplotlib.axis.Axis.get_picker() Function

The Axis.get_picker() function in axis module of matplotlib library is used to define the picking behavior of the artist.

Syntax: Axis.get_picker(self)

Parameters: This method does not accepts any parameter.

Return value: This method return the picking behavior of the artist.

Below examples illustrate the matplotlib.axis.Axis.get_picker() function in matplotlib.axis:

Example 1:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis 
import numpy as np   
import matplotlib.pyplot as plt   
    
    
np.random.seed(19680801)   
      
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(Axis.get_picker(ax)),   
        fontweight = "bold",   
        fontsize = 18)  
  
fig.suptitle("""matplotlib.axis.Axis.get_picker() 
function Example\n""", fontweight ="bold")   
    
plt.show() 

Output:

Example 2:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis 
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(Axis.get_picker(ax)),   
        fontweight = "bold",   
        fontsize = 18)   
            
fig.suptitle("""matplotlib.axis.Axis.get_picker() 
function Example\n""", fontweight ="bold")   
    
plt.show() 