seaborn 4 category scatter

 import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

import seaborn as sns

from scipy import signal

sns.set(style="darkgrid")

tips = sns.load_dataset("tips")

tips.head()

  total_bill tip sex smoker day time size

0 16.99 1.01 Female No Sun Dinner 2

1 10.34 1.66 Male No Sun Dinner 3

2 21.01 3.50 Male No Sun Dinner 3

3 23.68 3.31 Male No Sun Dinner 2

4 24.59 3.61 Female No Sun Dinner 4

tips = sns.load_dataset("tips")

sns.catplot(x="day", y="total_bill", data=tips);

sns.catplot(x="day", y="total_bill", jitter=False, data=tips);

sns.catplot(x="day", y="total_bill", kind="swarm", data=tips);

sns.catplot(x="day", y="total_bill", hue="sex", kind="swarm", data=tips);

sns.catplot(x="size", y="total_bill", kind="swarm",

            data=tips.query("size != 3"));

sns.catplot(x="smoker", y="tip", order=["No", "Yes"], data=tips);

sns.catplot(x="total_bill", y="day", hue="time", kind="swarm", data=tips);

reference:

https://seaborn.pydata.org/tutorial/categorical.html