Long category names on the x-axis overlap and become unreadable, and the problem multiplies when there are several facets. This post shows the couple of lines it takes to rotate those labels on a FacetGrid (including catplot) and on a pairplot.

Quick Example

Call set_xticklabels() on the grid and pass rotation. It applies to every facet axis at once.

import seaborn as sns

g = sns.catplot(data=df, x="department", y="score", col="quarter", kind="box")
g.set_xticklabels(rotation=45)

This rotates the x-axis labels on all three facet axes. Add ha="right" to align them so they do not look randomly slanted.

Why labels need rotating

Seaborn defaults keep tick labels horizontal. That is fine for short names, but a category like "Customer Success" or "Product Engineering" is too wide, and across multiple facets the labels butt into each other and the axis titles.

g = sns.catplot(data=df, x="department", y="score", col="quarter", kind="box")

Rotate labels on a FacetGrid

FacetGrid, which powers catplot, relplot, and lmplot, has a set_xticklabels() method that rotates the tick labels on every subplot in one call.

g = sns.catplot(data=df, x="department", y="score", col="quarter", kind="box")
g.set_xticklabels(rotation=45)
for label in g.axes.flat[0].get_xticklabels():
    label.set_ha("right")

The ha="right" (horizontal alignment) step cants the labels the natural way: each text hangs from its tick. Compare this to the default image above.

The manual loop alternative

When you want more control, or when you are building a grid by hand, loop over the axes and use tick_params. This sets rotation on every axis individually and works anywhere seaborn draws a categorical axis.

for ax in g.axes.flat:
    ax.tick_params(axis="x", rotation=45)

Matplotlib.pyplot.setp is another way to target the tick label text objects directly:

import matplotlib.pyplot as plt

for ax in g.axes.flat:
    plt.setp(ax.get_xticklabels(), rotation=45, ha="right")

Rotate labels on a pairplot

A pairplot returns a PairGrid, which also exposes .axes.flat. Loop over it to rotate the numeric tick labels on every small axis.

g = sns.pairplot(df, hue="program")

for ax in g.axes.flat:
    ax.tick_params(axis="both", rotation=30)

Using axis="both" rotates both the x and y ticks. You can also rotate only the diagonal labels or only the legend text by targeting those objects instead.

Practical Tips

• Use g.set_xticklabels(rotation=45) as the quick fix for a catplot or relplot.
• Add ha="right" so rotated labels line up under their ticks instead of drifting.
• Loop over g.axes.flat when you use a manual FacetGrid or a pairplot (PairGrid).
• Prefer tick_params for clean control over only the x- or y-axis.
• Rotate just enough (30-45 degrees) to fix overlap; overly steep angles are harder to read.

Similar Topics

• Changing X-Axis Category Order in Seaborn
• Violin Plots in Seaborn
• Display Data Values on Top of Seaborn Bar Plots