How to Create Subplots with Different Sizes in Matplotlib?

Customizing the Size of Subplots

In Matplotlib, creating subplots with differing sizes can be achieved using various methods. To create a wider subplot, you can utilize the 'fig' function.

Using 'fig' with 'subplots'

To adjust the first subplot's size, modify the 'figsize' argument in the constructor. However, changing the second plot's size requires a different approach.

import matplotlib.pyplot as plt

# Create a figure and subplots with different width ratios
f, (a0, a1) = plt.subplots(1, 2, width_ratios=[3, 1])

# Add plots to the subplots
a0.plot(data_1)  # Plot data to the first subplot (wider)
a1.plot(data_2)  # Plot data to the second subplot

# Save the figure to PDF
f.savefig('grid_figure.pdf')

Using 'subplots' and 'gridspec_kw'

Alternatively, you can use the 'subplots' function and pass the width ratio argument with 'gridspec_kw'.

import numpy as np
import matplotlib.pyplot as plt

# Generate data
x = np.arange(0, 10, 0.2)
y = np.sin(x)

# Plot using subplots with gridspec_kw
f, (a0, a1) = plt.subplots(1, 2, gridspec_kw={'width_ratios': [3, 1]})

# Add plots to the subplots
a0.plot(x, y)
a1.plot(y, x)

# Save the figure to PDF
f.tight_layout()
f.savefig('grid_figure.pdf')

Vertical Subplots

To create subplots with different heights, modify the 'height_ratios' argument in 'gridspec_kw'.

# Create a figure and subplots with different height ratios
f, (a0, a1, a2) = plt.subplots(3, 1, gridspec_kw={'height_ratios': [1, 1, 3]})

# Add plots to the subplots
a0.plot(x, y)
a1.plot(x, y)
a2.plot(x, y)

# Save the figure to PDF
f.tight_layout()
f.savefig('grid_figure.pdf')

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