The plotting capabilities in pandas and seaborn are powered by matplotlib; both of these packages provide wrappers around the lower-level functionality in matplotlib. Consequently, we have many visualization options at our fingertips with minimal code to write; however, this comes at a price: reduced flexibility in what we can create.
We may find that the pandas or seaborn implementation isn't quite meeting our needs, and, indeed, it may be impossible to override a particular setting after creating the plot with them, meaning we will have to do some of the legwork with matplotlib. Therefore, it would greatly benefit us to have some understanding of how matplotlib works. Additionally, many of the tweaks to the final appearance of the visualization will be handled with matplotlib commands, which we will discuss in the next chapter.
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