Box Plot

boxplot.py

import seaborn as sns
import matplotlib.pyplot as plt
import seaborn as sns

import pandas as pd
import warnings
import numpy as np

tips_data=sns.load_dataset('tips')
tips_data.info

plt.boxplot(tips_data.total_bill)
plt.text(x=1.1,y=tips_data.total_bill.min(),s='min')
plt.text(x=1.1,y=tips_data.total_bill.quantile(.25),s='Q1')
plt.text(x=1.1,y=tips_data.total_bill.median(),s='median (Q2)')
plt.text(x=1.1,y=tips_data.total_bill.quantile(.75),s='Q3')
plt.text(x=1.1,y=tips_data.total_bill.max(),s='max')

max_val = tips_data.total_bill.max()
offset_val = max_val *.10

print(max_val)

plt.annotate('Outliers',xy = (0.97,max_val-offset_val),xytext=(0.7,max_val-offset_val), arrowprops = dict(facecolor='black',arrowstyle = 'simple'))
plt.title('Boxplot of Total Bill Amount')
plt.ylabel('Total Bill')
plt.show()