Numerical Computing with Python

Faceted grid in Seaborn

Up until now, we have already mentioned FacetGrid a few times, but what exactly is it?

As you may know, FacetGrid is an engine for subsetting data and drawing plot panels determined by assigning variables to the rows and columns of hue parameters. While we can use wrapper functions such as lmplot and factorplot to scaffold plots on FacetGrid easily, it would be more flexible to build FacetGrid from scratch. To do that, we first supply a pandas DataFrame to the FacetGrid object and specify the way to lay out the grid via col, row, and hue parameters. Then we can assign a Seaborn or Matplotlib plotting function to each panel by calling the map() function of the FacetGrid object:

# Create a FacetGridg = sns.FacetGrid(stock_df, ...