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.draw_artist() Function
The Axes.draw_artist() function in axes module of matplotlib library is used to efficiently update Axes data.
Syntax: Axes.draw_artist(self, a)
Parameters: This method accepts the following parameters.
- a: This parameter is the artist to be draw.
Returns: This method does not return any value.
Note: This method can only be used after an initial draw which caches the renderer.
Below examples illustrate the matplotlib.axes.Axes.draw_artist() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function from random import randint, choice import time import matplotlib.pyplot as plt import matplotlib.patches as mpatches back_color = "black"colors = ['red', 'green', 'blue', 'purple'] width, height = 4, 4 fig, ax = plt.subplots() ax.set(xlim =[0, width], ylim =[0, height]) fig.canvas.draw() def update(): x = randint(0, width - 1) y = randint(0, height - 1) arti = mpatches.Rectangle( (x, y), 1, 1, facecolor = choice(colors), edgecolor = back_color ) ax.add_artist(arti) start = time.time() ax.draw_artist(arti) fig.canvas.blit(ax.bbox) print("Draw at time :", time.time() - start) timer = fig.canvas.new_timer(interval = 1) timer.add_callback(update) timer.start() ax.set_title('matplotlib.axes.Axes.draw_artist()\ function Example') plt.show() |
Output:
Draw at time : 0.37501978874206543 Draw at time : 0.015624046325683594 Draw at time : 0.03127431869506836 Draw at time : 0.015625953674316406 Draw at time : 0.015601396560668945 Draw at time : 0.015614986419677734 ........ so on...
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np import time fig, ax = plt.subplots() line, = ax.plot(np.random.randn(100)) tstart = time.time() num_plots = 0fig.canvas.draw() while time.time()-tstart < 5: line.set_ydata(np.random.randn(100)) ax.draw_artist(ax.patch) ax.draw_artist(line) num_plots += 1 ax.set_title('matplotlib.axes.Axes.draw_artist() \ function Example') plt.show() |
Output:
