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.get_pickradius() Function
The Axis.get_pickradius() function in axis module of matplotlib library is used to get the depth of the axis used by the picker
Syntax: Axis.get_pickradius(self)
Parameters: This method does not accepts any parameters.
Return value: This method returns the depth of the axis used by the picker.
Below examples illustrate the matplotlib.axis.Axis.get_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() print("Value return by get_pickradius() :", ax.yaxis.get_pickradius()) fig.suptitle("""matplotlib.axis.Axis.get_pickradius() function Example\n""", fontweight ="bold") plt.show() |
Output:
Value return by get_pickradius() : 15
Example 2:
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 = 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.grid() print("Value return by get_pickradius() :", ax.yaxis.get_pickradius()) fig.suptitle("""matplotlib.axis.Axis.get_pickradius() function Example\n""", fontweight ="bold") plt.show() |
Output:
Value return by get_pickradius() : 25
