Matplotlib.figure.Figure.subplots() in Python

Syntax: subplots(self, nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True, subplot_kw=None, gridspec_kw=None) Parameters: This method accept the following parameters that are described below:

• nrows, ncols : These parameter are the number of rows/columns of the subplot grid.
• sharex, sharey : These parameter controls sharing of properties among x (sharex) or y (sharey) axes.
• squeeze : This parameter is an optional parameter and it contains boolean value with default as True.
• num: This parameter is the pyplot.figure keyword that sets the figure number or label.
• subplot_kwd: This parameter is the dict with keywords passed to the add_subplot call used to create each subplot.
• gridspec_kw: This parameter is the dict with keywords passed to the GridSpec constructor used to create the grid the subplots are placed on.

Returns: This method return the following values.

• ax : This method return the axes.Axes object or array of Axes objects.

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
 
x = np.linspace(0, 2 * np.pi, 400)
y = np.sin(x**2)
 
fig = plt.figure()
ax = fig.subplots()
ax.plot(x, y)
fig.suptitle("""matplotlib.figure.Figure.subplots()
function Example\n\n""", fontweight ="bold") 
fig.show() 

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
 
x = np.linspace(0, 1.5 * np.pi, 100)
y = np.sin(x**2)+np.cos(x**2)
 
fig = plt.figure()
axs = fig.subplots(2, 2, subplot_kw = dict(polar = True))
axs[0, 0].plot(x, y)
axs[1, 1].scatter(x, y)
fig.suptitle("""matplotlib.figure.Figure.subplots()
function Example\n\n""", fontweight ="bold") 
fig.show()