seaborn 7 barplot

 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.barplot(x="day", y="total_bill", data=tips)

sns.barplot(x="day", y="total_bill", hue="sex", data=tips)

sns.barplot(x="time", y="tip", data=tips,

                 order=["Dinner", "Lunch"])

from numpy import median

sns.barplot(x="day", y="tip", data=tips, estimator=median)

sns.barplot("size", y="total_bill", data=tips,

                 palette="Blues_d")

sns.catplot(x="sex", y="total_bill",

                hue="smoker", col="time",

                data=tips, kind="bar",

                height=4, aspect=.7);