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

Last Updated : 08 Jun, 2020
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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.set_pickradius() Function

The Axis.set_pickradius() function in axis module of matplotlib library is used to set the depth of the axis used by the picker 
 

Syntax: Axis.set_pickradius(self, pickradius) 
 

Parameters: This method accepts the following parameters. 

  • pickradius: This parameter is the float value.

Return value: This method does not return any value. 

Below examples illustrate the matplotlib.axis.Axis.set_pickradius() 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 
     
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.grid()
  
ax.yaxis.set_pickradius(-3)
ax.xaxis.set_pickradius(3)
   
fig.suptitle("""matplotlib.axis.Axis.set_pickradius()
function Example\n""", fontweight ="bold")  
       
plt.show()


Output: 

Example 2:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np 
np.random.seed(19680801
import matplotlib.pyplot as plt 
        
volume = np.random.rayleigh(27, size = 100
amount = np.random.poisson(7, size = 100
ranking = np.random.normal(size = 100
price = np.random.uniform(1, 7, size = 100
        
fig, ax = plt.subplots() 
        
scatter = ax.scatter(volume * 2,  
                     amount**3
                     c = ranking, 
                     s = price**3
                     vmin = -3
                     vmax = 3
                     cmap ="Spectral")
ax.yaxis.set_pickradius(25)
ax.xaxis.set_pickradius(5)
ax.grid()
   
fig.suptitle("""matplotlib.axis.Axis.set_pickradius()
function Example\n""", fontweight ="bold")  
       
plt.show()


Output: 



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