ECDF Plot in Seaborn

Program 1

Seaborn Dataset

# ecdf= Empirical Cumulative Distribution Function plot 


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



df_value=pd.read_csv("D://scikit_data/Billing/data.csv")
df_value


sns.set_style('darkgrid')
sns.ecdfplot(x='value',data=df_value)


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


df_tips['tip'].head()

sns.ecdfplot(x='tip',data=df_tips)


df_tips.tip.max()


df_tips.tip.min()


sns.ecdfplot(x='tip',data=df_tips)
plt.axvline(4,c='black')


df_tips


sns.ecdfplot(x='tip',data=df_tips,hue='time')


sns.ecdfplot(x='tip',data=df_tips,hue='sex')


p=sns.ecdfplot(x='tip',data=df_tips,hue='day')


sns.ecdfplot(x='tip',data=df_tips,hue='day',lw=3)


p=sns.ecdfplot(x='tip',data=df_tips,hue='day')
p.legend(['Tursday','Friday','Saturday','Sunday'],title='Days of Week', loc=4)