Matplotlib.pyplot.subplots_adjust() in Python

Last Updated : 19 Apr, 2020

Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot, etc.

matplotlib.pyplot.subplots_adjust() Function

The subplots_adjust() function in pyplot module of matplotlib library is used to tune the subplot layout.

Syntax: matplotlib.pyplot.subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=None, hspace=None) Parameters: This method accept the following parameters that are described below:

left : This parameter is the left side of the subplots of the figure.

right : This parameter is the right side of the subplots of the figure.

bottom : This parameter is the bottom of the subplots of the figure.

top : This parameter is the top of the subplots of the figure.

wspace : This parameter is the amount of width reserved for space between subplots expressed as a fraction of the average axis width.

hspace : This parameter is the amount of height reserved for space between subplots expressed as a fraction of the average axis height.

Below examples illustrate the matplotlib.pyplot.subplots_adjust() function in matplotlib.pyplot: Example 1:

Python3 1==

# Implementation of matplotlib function
import matplotlib.pyplot as plt
 

x = [1, 12, 3, 9]
y = [1, 4, 9, 16]
labels = ['Geeks1', 'Geeks2', 'Geeks3', 'Geeks4']
 
plt.plot(x, y)
plt.xticks(x, labels, rotation ='vertical')

plt.margins(0.2)
plt.subplots_adjust(bottom = 0.15)

plt.title('matplotlib.pyplot.subplots_adjust() Example')
plt.show()

Output:

Example 2:

Python3 1==

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


fig, ax = plt.subplots()
plt.subplots_adjust(bottom = 0.2)
t = np.arange(-2.0, 2.0, 0.001)
s = np.sin(t)+np.cos(2 * t)
initial_text = "sin(t) + cos(2t)"
l, = plt.plot(t, s, lw = 2)

def submit(text):
    
    ydata = eval(text)
    l.set_ydata(ydata)
    ax.set_ylim(np.min(ydata), np.max(ydata))
    plt.draw()

axbox = plt.axes([0.4, 0.05, 0.3, 0.075])
text_box = TextBox(axbox, 'Formula Used : ', 
                   initial = initial_text)

text_box.on_submit(submit)

fig.suptitle('matplotlib.pyplot.subplots_adjust() Example')
plt.show()