Displot in Seaborn

Program 1

Seaborn Dataset

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns


df_tips=pd.read_csv("D://scikit_data/Billing/tips.csv")


df_tips.head()


df_tips.shape


df_tips.isnull().sum()


df_tips.info()


sns.displot(x='total_bill',data=df_tips)


sns.displot(x='total_bill',data=df_tips,bins=100)


sns.displot(x='total_bill',data=df_tips)


sns.displot(x='total_bill',data=df_tips,kind='hist')


# # kde=Karnel Denstity Estimeter
sns.displot(x='total_bill',data=df_tips,kind='kde')


#ecdf= Empirical Cumulative Distribution Functin plot 
sns.displot(x='total_bill',data=df_tips,kind='ecdf')


sns.set_style('dark')
sns.displot(x='total_bill',data=df_tips)


sns.displot(x='total_bill',data=df_tips,kde=True)

sns.displot(x='total_bill',data=df_tips, kind='kde',rug=True,fill=True)


df_tips.head()


sns.displot(x='total_bill',data=df_tips, hue='day')


sns.displot(x='total_bill',data=df_tips, hue='day', kind='kde',fill=True,rug=True)


sns.displot(x='tip',y='size',data=df_tips) 


sns.displot(x='tip',y='size',data=df_tips, kind='kde',rug=True)


sns.displot(x='size',data=df_tips,hue='sex', col='sex',height=2)


sns.displot(x='total_bill',data=df_tips)


sns.displot(x='total_bill',data=df_tips, height=2,aspect=2.5,kind='hist')


sns.displot(x='total_bill',data=df_tips,kind='kde',fill=True,rug=True,lw=2)


df_tips['size']


sns.displot(x='size',data=df_tips,kind='ecdf')