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Matplotlib.axis.Axis.draw() function in Python

  • Last Updated : 08 Jun, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

Matplotlib.axis.Axis.draw() Function

The Axis.draw() function in axis module of matplotlib library is used to draw the axis lines, grid lines, tick lines and labels. 
 

Syntax: Axis.draw(self, renderer, \*args, \*\*kwargs) 
 

Parameters: This method accepts the following parameters. 

  • renderer: This parameter is the RendererBase subclass.

Return value: This method does not return any value. 



Below examples illustrate the matplotlib.axis.Axis.draw() function in matplotlib.axis:

Example 1:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
from mpl_toolkits.mplot3d import axes3d   
import matplotlib.pyplot as plt   
         
fig, ax = plt.subplots()   
         
def tellme(s):     
    fig.canvas.draw()  
    renderer = fig.canvas.renderer 
    Axis.draw(ax, renderer)
  
ax.grid() 
  
fig.suptitle("""matplotlib.axis.Axis.draw()
function Example\n""", fontweight ="bold")  
    
plt.show()

Output: 
 

Example 2:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
from mpl_toolkits.mplot3d import axes3d   
import matplotlib.pyplot as plt   
         
      
fig = plt.figure()   
ax = fig.add_subplot(111, projection ='3d')   
         
X, Y, Z = axes3d.get_test_data(0.1)   
ax.plot_wireframe(X, Y, Z, rstride = 5,    
                  cstride = 5)   
         
   
ax.view_init(30, 60)  
fig.canvas.draw()  
renderer = fig.canvas.renderer  
ax.draw(renderer)   
  
ax.grid() 
  
fig.suptitle("""matplotlib.axis.Axis.draw()
function Example\n""", fontweight ="bold")  
    
plt.show()

Output: 
 

 

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