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:

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

Example 1:

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:

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:

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