From the course: Python Data Visualization: Create Impactful Visuals, Animations, and Dashboards by Pearson
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Understand the differences with Matplotlib - Python Tutorial
From the course: Python Data Visualization: Create Impactful Visuals, Animations, and Dashboards by Pearson
Understand the differences with Matplotlib
As you might expect, a package like Seaborn that's specialized and focused on statistical visualizations works a little bit differently than a package that was built from scratch like Matplotlib to handle visualizations from scratch, step by step. In particular, Seaborn has two main types of plots. You have relationship plots, and you have categorical plots. So relationship plots, essentially all the variables are numerical. With categorical plots, you have numerical variables and categorical variables. And of course, you have a wider range of possibilities. There's two different types of functions that you can use in Matplotlib. You have access level functions, and these are access in the Matplotlib sense. And you have figure level functions, again, in the matplotlib sense. So access level functions return an access object. Figure level functions return typically a figure object or an array of multiple access objects. The figure level functions essentially are more generic. And you…
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