How Can I Customize Subplot Sizes in Matplotlib?

How to Customize Subplot Sizes in Matplotlib

In Matplotlib, there are two primary methods for creating subplots: using the figure constructor or the subplots function. While the figure constructor provides more flexibility for overall figure size adjustment, it lacks the ability to control individual subplot sizes. To address this limitation, consider utilizing the subplots function with the width_ratios or height_ratios option, introduced in Matplotlib version 3.6.0.

For example, to create two subplots, one three times wider than the other, you can use the following code:

import matplotlib.pyplot as plt

# Create two subplots with a width ratio of 3:1
fig, (ax1, ax2) = plt.subplots(1, 2, width_ratios=[3, 1])

Alternatively, you can use the gridspec_kw argument to pass gridspec keyword arguments to the subplots function:

import matplotlib.pyplot as plt

# Create two subplots with a width ratio of 3:1 using GridSpec keyword arguments
fig, (ax1, ax2) = plt.subplots(1, 2, gridspec_kw={'width_ratios': [3, 1]})

For vertical subplots, use height_ratios instead of width_ratios:

import matplotlib.pyplot as plt

# Create three vertically stacked subplots with height ratios of 1:1:3
fig, (ax1, ax2, ax3) = plt.subplots(3, 1, height_ratios=[1, 1, 3])

By leveraging these options, you can easily customize the sizes of your Matplotlib subplots and achieve the desired figure layout.

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