seaborn 5 boxplot

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

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

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

tips["weekend"] = tips["day"].isin(["Sat", "Sun"])

tips.head()

total_bill tip sex smoker day time size weekend

0 16.99 1.01 Female No Sun Dinner 2 True

1 10.34 1.66 Male No Sun Dinner 3 True

2 21.01 3.50 Male No Sun Dinner 3 True

3 23.68 3.31 Male No Sun Dinner 2 True

4 24.59 3.61 Female No Sun Dinner 4 True

sns.catplot(x="day", y="total_bill", hue="weekend",

            kind="box", dodge=False, data=tips);

diamonds = sns.load_dataset("diamonds")

diamonds.head()

  carat cut color clarity depth table price x y z

0 0.23 Ideal E SI2 61.5 55.0 326 3.95 3.98 2.43

1 0.21 Premium E SI1 59.8 61.0 326 3.89 3.84 2.31

2 0.23 Good E VS1 56.9 65.0 327 4.05 4.07 2.31

3 0.29 Premium I VS2 62.4 58.0 334 4.20 4.23 2.63

4 0.31 Good J SI2 63.3 58.0 335 4.34 4.35 2.75

len(diamonds)

53940

sns.catplot(x="color", y="price", kind="boxen",

            data=diamonds.sort_values("color"));