Matplotlib.pyplot.subplots_adjust() in Python (original) (raw)

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()

`

Output: