How Can I Customize Plot Size in Seaborn and Matplotlib?

Customizing Plot Size in Seaborn and Matplotlib

When visualizing data with Seaborn, it may be necessary to adjust the plot size for various purposes, such as printing. This question explores techniques to alter the size of Seaborn plots.

Setting Plot Size at Axes Level

To modify the size of an individual Seaborn plot, you can directly manipulate the axes object. This involves invoking the following Python command:

import matplotlib.pyplot as plt
import seaborn as sns

# Create your Seaborn plot
sns.plot(data)

# Modify the plot size
plt.gca().set_size_inches(width, height)

Setting Plot Size at Figure Level

Alternatively, you can adjust the size of the entire figure that contains Seaborn plots. This involves invoking the following Python command:

# Create your Seaborn plot
sns.plot(data)

# Modify the figure size
plt.gcf().set_size_inches(width, height)

Using the Seaborn set_theme() Function

Another method introduced in Seaborn v0.11.0 is to use the set_theme() function. It provides a convenient way to set a wide range of plot parameters, including figure size.

import seaborn as sns

# Set the figure size using a dictionary
sns.set_theme(rc={'figure.figsize': (11.7, 8.27)})

Using Matplotlib rcParams

Finally, you can also modify the figure size globally for all Matplotlib-based plots, including Seaborn plots. This is achieved by manipulating the rcParams dictionary.

import matplotlib.pyplot as plt

# Set the figure size
plt.rcParams['figure.figsize'] = (11.7, 8.27)

By utilizing these methods, you can effectively adjust the size of your Seaborn or Matplotlib plots to suit your specific requirements, such as printing on A4 paper or other desired dimensions.

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