Section: Catplot | Data Visualization on Seaborn

Section outline

The catplot() function allows you to create different types of plots:

signature catplot

Parameter name	Explanations	Type required	Example
data	table you are planning to use	DataFrame, Series, dict, array, or list of arrays	data=table
x	variable of the table for the x-axis	string corresponding to a variable of the table	x="weight"
y	variable of the table for the y-axis	string corresponding to a variable of the table	y="height"
kind	type of plot desired	string	kind="swarm"

There are several kind options that can be used:

strip
swarm
violin
box
boxen
point
bar
count

 Importation Code
import pandas as pd
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
from pyodide.http import open_url

url = "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/tips.csv"
tips = pd.read_csv(open_url(url))
← Running

 Cell 2
sns.catplot(data=tips, x="day", y="total_bill", kind="strip")
← Running

The "point" and "bar" plots display the mean along with its confidence interval. These are calculated using bootstrap resampling.

We can use the parameters of the selected plot types. For example, boxplot() has the fill parameter, so we can specify it directly in the catplot() function.

 Cell 3
sns.catplot(kind="box", data=tips, x="smoker", y="total_bill", fill=False)
← Running