They take care of some important bookkeeping that synchronizes the multiple plots in each grid. In most cases, you will want to work with those functions. The figure-level functions are built on top of the objects discussed in this chapter of the tutorial. 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 structure of your dataset. It allows a viewer to quickly extract a large amount of information about a complex dataset. This technique is sometimes called either “lattice” or “trellis” plotting, and it is related to the idea of “small multiples”. When exploring multi-dimensional data, a useful approach is to draw multiple instances of the same plot on different subsets of your dataset.
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