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.set_picker() Function
The Axes.set_picker() function in axes module of matplotlib library is used to define the picking behavior of the artist.
Syntax: Axes.set_picker(self, picker)
Parameters: This method accept the following parameters as discussed below:
- picker : This parameter is used to set picking behavior. This can be None or bool or float or function.
Returns: This method the picking behavior of the artist.
Below examples illustrate the matplotlib.axes.Axes.set_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(27, 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 * 2, amount**3, c = ranking**3, s = price**3, vmin = -3, vmax = 3, cmap ="Spectral") ax.set_picker(4) fig.suptitle('matplotlib.axes.Axes.set_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-') ax.set_picker(True) fig.suptitle('matplotlib.axes.Axes.set_picker()\ function Example', fontweight ="bold") plt.show() |
Output:
