Using Custom Functions in Multi-plot Grids
Explore how to create and use custom functions with Seaborn's FacetGrid class for multi-plot grids. Understand the guidelines for defining functions that plot data using positional and keyword arguments. Gain skills to enhance your visualizations by combining Seaborn and Matplotlib features, such as plotting scatter plots, probability plots, and adding reference lines with calculated statistics.
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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 ...