필요 라이브러리 import

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
#배경스타일 지정
sns.set(style="darkgrid")

데이터셋 로드 및 조회

tips = sns.load_dataset("tips")
tips
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
... ... ... ... ... ... ... ...
239 29.03 5.92 Male No Sat Dinner 3
240 27.18 2.00 Female Yes Sat Dinner 2
241 22.67 2.00 Male Yes Sat Dinner 2
242 17.82 1.75 Male No Sat Dinner 2
243 18.78 3.00 Female No Thur Dinner 2

244 rows × 7 columns

sns.relplot(x="total_bill", y="tip", data=tips)

<seaborn.axisgrid.FacetGrid at 0x1c6133009b0>

output_4_1

hue : marker의 색상으로 구분

sns.relplot(x="total_bill", y="tip", hue="smoker", data=tips)

<seaborn.axisgrid.FacetGrid at 0x1c61360a630>

output_6_1

style : marker의 모양 구분

sns.relplot(x="total_bill", y="tip", hue="smoker", style="time", data=tips)

<seaborn.axisgrid.FacetGrid at 0x1c61360aeb8>

output_8_1

palette : marker 색상 변경 (색상표)

sns.relplot(x="total_bill", y="tip", hue="size", palette="jet", data=tips)

<seaborn.axisgrid.FacetGrid at 0x1c6146f2860>

output_10_1

size : marker의 size 변경

sizes : size 범위

sns.relplot(x="total_bill", y="tip", size="size", sizes=(15, 200), data=tips)

<seaborn.axisgrid.FacetGrid at 0x1c6147ca860>

output_12_1