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Facet Grids

What are facet grids?

Facet grids create small multiples:

  • The same plot repeated for different subgroups
  • Helps compare patterns across segments

Examples:

  • Distribution by gender
  • Trend by region
  • Relationship by category

Facet with displotdisplot

Facet distribution
import seaborn as sns
 
tips = sns.load_dataset("tips")
 
sns.displot(data=tips, x="total_bill", col="time", bins=20, kde=True)
Facet distribution
import seaborn as sns
 
tips = sns.load_dataset("tips")
 
sns.displot(data=tips, x="total_bill", col="time", bins=20, kde=True)

Facet with relplotrelplot

Facet relationship
import seaborn as sns
 
tips = sns.load_dataset("tips")
 
sns.relplot(data=tips, x="total_bill", y="tip", col="time", hue="sex")
Facet relationship
import seaborn as sns
 
tips = sns.load_dataset("tips")
 
sns.relplot(data=tips, x="total_bill", y="tip", col="time", hue="sex")

Using FacetGridFacetGrid directly

FacetGrid
import seaborn as sns
import matplotlib.pyplot as plt
 
tips = sns.load_dataset("tips")
 
g = sns.FacetGrid(tips, col="time", row="sex")
g.map_dataframe(sns.scatterplot, x="total_bill", y="tip")
 
plt.tight_layout()
FacetGrid
import seaborn as sns
import matplotlib.pyplot as plt
 
tips = sns.load_dataset("tips")
 
g = sns.FacetGrid(tips, col="time", row="sex")
g.map_dataframe(sns.scatterplot, x="total_bill", y="tip")
 
plt.tight_layout()

Tips

  • Facets can get crowded—keep category counts small.
  • Facets are excellent for storytelling and comparisons.

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