Machine Learning courses with 110+ Real-time projects Start Now!!
Program 1
# 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)