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.Tick.get_picker() Function
The Tick.get_picker() function in axis module of matplotlib library is used to define the picking behavior of the artist.
Syntax: Tick.get_picker(self)
Parameters: This method does not accepts any parameter.
Return value: This method return the picking behavior of the artist.
Below examples illustrate the matplotlib.axis.Tick.get_picker() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import numpy as np import matplotlib.pyplot as plt np.random.seed(19680801) volume = np.random.rayleigh(7, 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**3, amount**3, c=ranking**3, s=price ** 4, vmin=-3, vmax=3, cmap="Spectral") ax.text(8, 8, "Value return : " + str(Tick.get_picker(ax)), fontweight="bold", fontsize=18) fig.suptitle("""matplotlib.axis.Tick.get_picker() function Example\n""", fontweight="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick 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-', picker=5) ax.set_picker(True) ax.text(0.48, 0.3, "Value return : " + str(Tick.get_picker(ax)), fontweight="bold", fontsize=18) fig.suptitle("""matplotlib.axis.Tick.get_picker() function Example\n""", fontweight="bold") plt.show() |
Output:
