Using Custom Functions in Multi-plot Grids
Explore how to define and use custom functions within Seaborn's FacetGrid to create multi-plot grids. Understand how to handle positional arguments and combine custom plots with Seaborn and Matplotlib, enabling you to visualize complex variable relationships and add statistical elements like mean lines and probability plots.
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Overview
The seaborn library has a functionality for plotting small multiple plots using the FacetGrid class. Seaborn’s FacetGrid class not only gives us the flexibility of using it with the seaborn and Matplotlib libraries, but we can also define our own custom function to use within seaborn’s FacetGrid class.
Defining the custom function
Some general guidelines should be kept in mind while using custom-defined functions within seaborn’s FacetGrid class.
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The function must accept positional arguments to plot the data.
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The function can accept and use the label and keyword arguments.
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The function can be plotted on the currently active ...