Multi-Plot Grids (FacetGrid, lmplot)
Seaborn allows you to easily create multiple subplots based on categorical variables, making it easier to compare patterns across groups.
This is where FacetGrid and lmplot come into play.
FacetGrid Overview
A FacetGrid is a layout of multiple subplots based on the unique values of one or more categorical variables.
You define:
- rows: variable to split plots vertically
- cols: variable to split plots horizontally
- hue (optional): variable to color the data points
This lets you break down complex datasets into smaller, more readable parts.
lmplot Overview
lmplot is a convenience function that combines FacetGrid with a regression plot (regplot).
It allows you to see both relationships between variables and trend lines, split by categories if needed.
When to Use Them
- To compare distributions or relationships across subgroups
- To visualize trends in different segments of your data
- To explore multivariate relationships
Now, explore how FacetGrid and lmplot work step by step in the Jupyter notebook on the right side of the screen.
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