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.add_artist() Function
The Axes.add_artist() function in axes module of matplotlib library is used to add an Artist to the axes, and return the artist.
Syntax: Axes.add_artist(self, a)
Parameters: This method accepts the following parameters.
- a: This parameter is the legend which is produced by legend() function .
Return value: This method returns the artist.
Below examples illustrate the matplotlib.axes.Axes.add_artist() 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(10, size = 40) ranking = np.random.normal(size = 40) price = np.random.uniform(1, 10, size = 40) fig, ax = plt.subplots() scatter = ax.scatter(volume * 2, amount * 3, c = ranking * 3, s = 0.3*(price * 3)**2, vmin =-4, vmax = 4, cmap ="Spectral") legend1 = ax.legend(*scatter.legend_elements(num = 5), loc ="upper left", title ="Ranking") ax.add_artist(legend1) kw = dict(prop ="sizes", num = 5, color = scatter.cmap(0.7), fmt =" {x:.2f}", func = lambda s: np.sqrt(s/.3)/3) legend2 = ax.legend(*scatter.legend_elements(**kw), loc ="lower right", title ="Size") fig.suptitle('matplotlib.axes.Axes.add_artist() \ function Example\n\n', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np from matplotlib.patches import Ellipse NUM = 200 ells = [Ellipse(xy = np.random.rand(2) * 10, width = np.random.rand(), height = np.random.rand(), angle = np.random.rand() * 360) for i in range(NUM)] fig, ax = plt.subplots(subplot_kw ={'aspect': 'equal'}) for e in ells: ax.add_artist(e) e.set_clip_box(ax.bbox) e.set_alpha(np.random.rand()) e.set_facecolor(np.random.rand(4)) ax.set_xlim(3, 7) ax.set_ylim(3, 7) fig.suptitle('matplotlib.axes.Axes.add_artist() \ function Example\n\n', fontweight ="bold") plt.show() |
Output:
