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

Last Updated : 05 Jun, 2020

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.set_picker() Function

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

Syntax: Axis.set_picker(self, picker)

Parameters: This method accepts the following parameters.

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

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

Below examples illustrate the matplotlib.axis.Axis.set_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(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")  
    
Axis.set_picker(ax, picker = 4) 

fig.suptitle('matplotlib.axis.Axis.set_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-')   
    
Axis.set_picker(ax, picker = True) 

fig.suptitle('matplotlib.axis.Axis.set_picker() \
function Example\n', fontweight ="bold")  
  
plt.show()