Seaborn Color Palettes
Explore how to choose and apply Seaborn color palettes to improve the clarity and appeal of your data visualizations. Learn the differences between sequential, qualitative, and diverging palettes and how they help emphasize patterns and categories in your data.
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Overview
One of the key components of styling plots is color. The appropriate choice of colors makes plots more aesthetically pleasing and makes the patterns in data more evident. The right color scheme can really make your plots stand out.
The seaborn library allows using colors that are appropriate for your data’s characteristics and visualization objectives. Seaborn color palettes can be divided into the following three major categories.
- Sequential color palettes
- Qualitative color palettes
- Diverging color palettes
The seaborn library has many in-built color palettes that fall into one of the broader categories. We can get the names of seaborn color palettes from the ...