Visualization with Multi-Plot Grids
Understand how to create multi-plot grids using Seaborn's FacetGrid and PairGrid with Matplotlib. Learn to visualize medium-dimensional data through multiple plots, enabling clearer insights into relationships within datasets by splitting variables across rows, columns, and pairs.
We'll cover the following...
Introduction to multi-plot grids #
Seaborn also has some multi-plot grid capabilities.
I don’t think I could explain it any better than the Seaborn documentation:
When exploring medium-dimensional data, a useful approach is to draw multiple instances of the same plot on different subsets of your dataset. This technique is sometimes called either “lattice” or “trellis” plotting, and it is related to the idea of “small multiples”. It allows a viewer to quickly extract a large amount of information about complex data. Matplotlib offers good support for making figures with multiple axes; seaborn builds on top of this to directly link the structure of the plot to the ...