Matplotlib.figure.Figure.set_canvas() in Python

Last Updated : 03 May, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The figure module provides the top-level Artist, the Figure, which contains all the plot elements. This module is used to control the default spacing of the subplots and top level container for all plot elements.

matplotlib.figure.Figure.set_canvas() method

The set_canvas() method figure module of matplotlib library is used to set the canvas that contains the figure.

Syntax: set_canvas(self, canvas) Parameters: This method accept the following parameters that are discussed below:

canvas : This parameter is the FigureCanvas.

Returns: This method returns the axes.

Below examples illustrate the matplotlib.figure.Figure.set_canvas() function in matplotlib.figure: Example 1:

Python3 1==

# Implementation of matplotlib function
import matplotlib.pyplot as plt


def new_figure(): 

    fig = plt.figure()
    plt.plot([0, 1], [2, 3])
    plt.close(fig)
    return fig

def show_figure(fig):

    dummy = plt.figure()
    new_manager = dummy.canvas.manager
    new_manager.canvas.figure = fig
    fig.set_canvas(new_manager.canvas)

fig = new_figure()
show_figure(fig)

fig.suptitle("""matplotlib.figure.Figure.set_canvas()
function Example\n\n""", fontweight ="bold")    

plt.show()

Output:

Example 2:

Python3 1==

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt

 
x = np.arange(16)
y = np.sin(x / 3)
 
fig, ax = plt.subplots()
 
ax.step(x, y + 2, color ='green')
ax.plot(x, y + 2, 'o--', color ='black', alpha = 0.3)

def show_figure(fig):

    dummy = plt.figure()
    new_manager = dummy.canvas.manager
    new_manager.canvas.figure = fig
    fig.set_canvas(new_manager.canvas)

show_figure(fig)

fig.suptitle("""matplotlib.figure.Figure.set_canvas()
function Example\n\n""", fontweight ="bold")    

plt.show()