Skip to content
Related Articles

Related Articles

Matplotlib.axes.Axes.draw_artist() in Python
  • Last Updated : 30 Apr, 2020

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 = 0
fig.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:

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up
Recommended Articles
Page :