Matplotlib.figure.Figure.get_tight_layout() in Python

Last Updated : 30 Apr, 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.get_tight_layout() method

The get_tight_layout() method figure module of matplotlib library is used to check whether tight_layout is called when drawing.

Syntax: get_size_inches(self) Parameters: This method does not accept any parameters. Returns: This method return whether tight_layout is called.

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

Python3

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

x = np.arange(-5, 5, 0.01)
y1 = -3 * x*x + 10 * x + 10
y2 = 3 * x*x + x
 
fig, ax = plt.subplots()
fig.tight_layout()
ax.plot(x, y1, x, y2, color ='black')

ax.fill_between(x, y1, y2, where = y2 >y1,
                facecolor ='green',
                alpha = 0.8)
ax.fill_between(x, y1, y2, where = y2 <= y1,
                facecolor ='black',
                alpha = 0.8)

w = fig.get_tight_layout()

ax.text(-3, -80,
        "Value Return by get_tight_layout() : " 
        + str(w),
        fontweight ="bold")
    
fig.canvas.draw()
fig.suptitle('matplotlib.figure.Figure.get_tight_layout()\
 function Example', fontweight ="bold") 

plt.show()

Output:

Example 2:

Python3

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.tri as mtri
import numpy as np
   
    
# Create triangulation.
x = np.asarray([0, 1, 2, 3, 0.5,
                1.5, 2.5, 1, 2,
                1.5])
y = np.asarray([0, 0, 0, 0, 1.0,
                1.0, 1.0, 2, 2, 
                3.0])
triangles = [[0, 1, 4], [1, 5, 4], 
             [2, 6, 5], [4, 5, 7],
             [5, 6, 8], [5, 8, 7], 
             [7, 8, 9], [1, 2, 5], 
             [2, 3, 6]]

triang = mtri.Triangulation(x, y, triangles)
z = np.cos(1.5 * x) * np.cos(1.5 * y)
   
fig, axs = plt.subplots()
axs.tricontourf(triang, z)
axs.triplot(triang, 'go-', color ='white')
fig.tight_layout(rect =(0.1, 0.1, 0.95, 0.95))

w = fig.get_tight_layout()
axs.text(.7, 2.8, 
         "Value Return by get_tight_layout() : " 
         + str(w),
         fontweight ="bold")
    
fig.canvas.draw()

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

plt.show()