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:
# 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:
# 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: