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Seaborn in Python

How to Adjust the Size of Heatmaps in Seaborn

You can use the figsize argument to specify the size (in inches) of a seaborn heatmap: #specify size of heatmap fig, ax = plt.subplots(figsize=(15, 5)) #create seaborn...

How to Plot a Normal Distribution in Seaborn (With Examples)

You can use the following methods to plot a normal distribution with the seaborn data visualization library in Python: Method 1: Plot Normal Distribution Histogram sns.displot(x) Method...

How to Create a Grouped Bar Plot in Seaborn (Step-by-Step)

A grouped bar plot is a type of chart that uses bars grouped together to visualize the values of multiple variables at once. This tutorial...

How to Create a Stacked Bar Plot in Seaborn (Step-by-Step)

A stacked bar plot is a type of chart that uses bars divided into a number of sub-bars to visualize the values of multiple...

How to Change Font Size in Seaborn Plots (With Examples)

You can use the following basic syntax to change the font size in Seaborn plots: import seaborn as sns sns.set(font_scale=2) Note that the default value for font_scale...

How to Create Subplots in Seaborn (With Examples)

You can use the following basic syntax to create subplots in the seaborn data visualization library in Python: #define dimensions of subplots (rows, columns) fig, axes...

How to Create an Area Chart in Seaborn (With Examples)

You can use the following basic syntax to create an area chart in seaborn: import matplotlib.pyplot as plt import seaborn as sns #set seaborn style sns.set_theme() #create seaborn area...

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