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Matplotlib.artist.Artist.get_picker() in Python

  • Last Updated : 10 May, 2020

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.get_picker() method

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

Syntax: Artist.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.artist.Artist.get_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(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(Artist.get_picker(ax)), 
        fontweight = "bold"
        fontsize = 18
          
fig.suptitle('matplotlib.artist.Artist.get_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-', picker = 5
    
ax.set_picker(True
     
ax.text(0.48, 0.3, "Value return : " 
        +  str(Artist.get_picker(ax)), 
        fontweight = "bold"
        fontsize = 18
          
fig.suptitle('matplotlib.artist.Artist.get_picker() \
function Example', fontweight ="bold"
  
plt.show()

Output:




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