Categorical plot

seaborn.catplot() is a high-level figure-level function for creating categorical plots in Seaborn.
It combines the features of several categorical plotting functions — like:

• sns.stripplot()
• sns.swarmplot()
• sns.boxplot()
• sns.violinplot()
• sns.barplot()
• sns.countplot()

…and adds faceting support (multiple subplots based on data subsets).

Essentially, catplot() = categorical plot + easy subplotting (faceting).

Syntax:

sns.catplot(    data=None,    x=None,    y=None,    hue=None,    kind="strip",    col=None,    row=None,    order=None,    hue_order=None,    col_order=None,    row_order=None,    height=5,    aspect=1,    palette=None,    orient=None,    dodge=True,    legend=True,    margin_titles=False,    **kwargs)

Parameters:

• data = DataFrame containing your data
• x, y = Categorical and numerical variables
• hue = Adds subgroups (coloured)
• kind = Type of categorical plot to draw ("strip", "swarm", "box", "violin", "bar", "count", "boxen")
• col, row = Variables for faceting (creating subplots)
• order, hue_order = Category ordering
• palette = Colour scheme
• height = Height (in inches) of each subplot
• aspect = Width = height × aspect
• orient = "v" (vertical) or "h" (horizontal)
• dodge = Separate hue categories
• legend = Show or hide legend
• margin_titles = Add titles on the edges of facets

Basic example

import seaborn as snsimport matplotlib.pyplot as plt​tips = sns.load_dataset("tips")​sns.catplot(data=tips, x="day", y="total_bill", kind="box")plt.show()

Creates a boxplot showing the distribution of total_bill for each day.

Kinds of categorical plots

You can switch kind to change the plot type — no need to rewrite code.

Faceting: split data into subplots

Faceting = multiple subplots based on different subsets of your data.

Facet by Column:

import seaborn as snsimport matplotlib.pyplot as plt​tips = sns.load_dataset("tips")​sns.catplot(    data=tips,    x="day",    y="total_bill",    hue="sex",    col="smoker",    kind="box",    palette="Set2")plt.show()

Creates one subplot for smokers and one for non-smokers.

Facet by Row:

import seaborn as snsimport matplotlib.pyplot as plt​tips = sns.load_dataset("tips")​sns.catplot(    data=tips,    x="day",    y="total_bill",    hue="sex",    row="time",    kind="violin",    palette="pastel")plt.show()

One row for Lunch and one for Dinner.

Facet by both row and column

import seaborn as snsimport matplotlib.pyplot as plt​tips = sns.load_dataset("tips")​sns.catplot(    data=tips,    x="day",    y="total_bill",    hue="sex",    col="smoker",    row="time",    kind="box",    palette="coolwarm")plt.show()

Grid of subplots by both smoker and time.