Python | Horizontal Subplot

Python | Horizontal Subplot: In this article, we are going to learn about the horizontal subplot and its Python implementation.
Submitted by Anuj Singh, on July 13, 2020

Many times while plotting a figure, we have to compare different functions simultaneously. Then we do have the option to plot in a single figure but this is helpful only for a limited number of functions. If there are a greater number of functions, then plotting in the same figure turns out to be messy. Therefore, matplotlib provides a feature of subploting in which we can plot more than one plot in one figure with more than one graph. Subplotting in the horizontal axis is similar to vertical subplotting and is often used for y-axis comparison. We can plot many plots in series and the following are some examples for illustrations.

Python | Horizontal Subplot (1)

Syntax:

#plotting in a one figure
plt.figure()

#leftmost
plt.subplot(1, 3, 1)
plt.plot(x1, y1, 'yo')
plt.title('SubPlot Example')

#middle
plt.subplot(1, 3, 2)
plt.plot(x2, y2, 'go')
plt.xlabel('time (s)')
plt.ylabel('Undamped')

#rightmost figure
plt.subplot(1, 3, 3)
plt.plot(x2, y2, 'ro')
plt.xlabel('time (s)')
plt.ylabel('Undamped')

plt.show()
Python | Horizontal Subplot (2)

Note: Both the graphs are independent, as the following figure(1) adds grid to one graph and the other remains the same and furthermore in figure(2), both have grid.

Python | Horizontal Subplot (3)

Python | Horizontal Subplot (4)

Python code for horizontal subplot

# Data Visualization using Python
# Horizontal Subplot

import numpy as np
import matplotlib.pyplot as plt

x1 = np.linspace(0.0, 2.0)
x2 = np.linspace(0.0, 1.0)

y1 = np.sin(2 * np.pi * x1) * np.exp(-x1)
y2 = np.cos(2 * np.pi * x2)
y3 = np.sin(2 * np.pi * x2)

# Example 1 : Default Subplot
plt.figure()
# Leftmost
plt.subplot(1, 3, 1)
plt.plot(x1, y1, 'yo')
plt.title('Leftmost')
plt.ylabel('Damped')
plt.xlabel('time (s)')

# middle
plt.subplot(1, 3, 2)
plt.plot(x2, y2, 'go')
plt.xlabel('time (s)')
plt.title('Middle')

# Rightmost
plt.subplot(1, 3, 3)
plt.plot(x2, y3, 'ro')
plt.xlabel('time (s)')
plt.title('Rightmost')

plt.show()

# Example 2 : Applying Grid to middle subplot
plt.figure()
# Leftmost
plt.subplot(1, 3, 1)
plt.plot(x1, y1, 'yo')
plt.title('Leftmost')
plt.ylabel('Damped')
plt.xlabel('time (s)')

# middle
plt.subplot(1, 3, 2)
plt.plot(x2, y2, 'go')
plt.xlabel('time (s)')
plt.title('Middle')
plt.grid()

# Rightmost
plt.subplot(1, 3, 3)
plt.plot(x2, y3, 'ro')
plt.xlabel('time (s)')
plt.title('Rightmost')

plt.show()

# Example 3 : Applying Grid to All
plt.figure()

# Leftmost
plt.subplot(1, 3, 1)
plt.plot(x1, y1, 'yo')
plt.title('Leftmost')
plt.ylabel('Damped')
plt.xlabel('time (s)')
plt.grid()

# middle
plt.subplot(1, 3, 2)
plt.plot(x2, y2, 'go')
plt.xlabel('time (s)')
plt.title('Middle')
plt.grid()

# Rightmost
plt.subplot(1, 3, 3)
plt.plot(x2, y3, 'ro')
plt.xlabel('time (s)')
plt.title('Rightmost')
plt.grid()
plt.show()

Output:

Output is as figure





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