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Matplotlib: Multiplots with subplots() Function

In Matplotlib we can draw multiple graphs in a single plot using subplot().

pyplpot.subplot() function is a kind of wrapper function that allows us to plot more than one graph in a single plot. It can create a figure and a grid of subplots with a single call which can provide a reasonable control over how individual plots are created.

This function can return a figure and an axes object or also an array of axes objects.
If we use this function without any parameters, then it will return a figure object and one Axes object.

Syntax

subplots(nrows, ncols, sharex, sharey, squeeze, subplot_kw, gridspec_kw, **fig_kw)

Parameters:

  • nrows, ncols: Its default value is 1. It is used to define numbers of rows and columns of the subplot grid respectively.
  • sharex, sharey: It is by default False. These parameters are used to specify the properties that are shared among x and among y axis. 
  • squeeze: It is used to squeeze out or remove the extra dimension from the array. By default this value is False.
  • subplot_kw: By default it is None. It is used to allow us to add keywords to each subplot.
  • gridspec_kw: By default it is None. It allows us to add grids on each subplot.
  • **fig_kw: By default it is None. It allow us to pass any additional keyword argument to the function call.

Example

import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 20, 100)
y = np.sin(x)
z=np.cos(y)
plt.figure()  
# adding first subplot
plt.subplot(121)
plt.plot(y ,color="orange", marker="o")  
# addding second subplot
plt.subplot(122)
plt.plot(z ,color="blue", marker="o")
plt.show()

Output:

subplot

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Submitted by devanshi.srivastava on November 29, 2021

Devanshi, is working as a Data Scientist with iVagus. She has expertise in Python, NumPy, Pandas and other data science technologies.

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