Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.get_picker() Function
The Axes.get_picker() function in axes module of matplotlib library is used to return the picking behavior of the artist.
Syntax: Axes.get_picker(self)
Parameters: This method does not accept any parameters.
Returns: This method the picking behavior of the artist.
Below examples illustrate the matplotlib.axes.Axes.get_picker() function in matplotlib.axes:
Example 1:
#Implementation of matplotlib function import numpy as np np.random.seed(19680801) import matplotlib.pyplot as plt 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, amount, c = ranking, s = price*3, vmin = -3, vmax = 3, cmap = "Spectral") legend1 = ax.legend(*scatter.legend_elements(num=5), loc = "upper left", title = "Ranking") ax.add_artist(legend1) ax.text(8, 8,"Value return : " + str(ax.get_picker()), fontweight = "bold", fontsize=18) fig.suptitle('matplotlib.axes.Axes.get_picker() function \ Example', fontweight="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function 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(ax.get_picker()), fontweight = "bold", fontsize = 18) fig.suptitle('matplotlib.axes.Axes.get_picker()\ function Example', fontweight ="bold") plt.show() |
Output:
