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: