Matplotlib.axes.Axes.draw() in Python

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. The Axes.draw() function in axes module of matplotlib library is used to draw everything.

Syntax: Axes.draw(self, renderer=None, inframe=False) Parameters: This method accepts the following parameters.

• renderer: This parameter is the first parameter and its default value is None.
• inframe: This parameter contains the boolean value and its default value is false.

Returns: This method does not return any value.

Below examples illustrate the matplotlib.axes.Axes.draw() function in matplotlib.axes: Example 1: Python3

# Implementation of matplotlib function 
from mpl_toolkits.mplot3d import axes3d 
import matplotlib.pyplot as plt 
  
fig, ax = plt.subplots() 
  
def tellme(s): 
    ax.set_title(s, fontsize = 16) 
    fig.canvas.draw()
    renderer = fig.canvas.renderer
    ax.draw(renderer)
tellme('matplotlib.axes.Axes.draw() function Example') 
plt.show() 

Output: Example 2: Python3

# Implementation of matplotlib function 
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) 
  
for angle in range(0, 90): 
    ax.view_init(30, angle)
    fig.canvas.draw()
    renderer = fig.canvas.renderer
    ax.draw(renderer) 
    plt.pause(.001) 
    ax.set_title('matplotlib.axes.Axes.draw()\
    function Example', fontweight ="bold") 

Output: