Matplotlib.pyplot.subplots_adjust() in Python

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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:

# 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:

# 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() 