Seaborn ECDF Plot Method

Program 1

Seaborn Dataset 1

Seaborn Dataset 2

#ecdf= Empirical Cumulative Distribution Function plot
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# df_value=pd.read_csv("D://scikit_data/Billing/data.csv")
# print(df_value)
# sns.set_style('dark')
# sns.ecdfplot(x='value',data=df_value)
# plt.show()
df_value=pd.read_csv("D://scikit_data/Billing/tips.csv")
sns.ecdfplot(x='total_bill',data=df_value,hue='time')
plt.show()
# #print(df_value)
# print(df_value.tip.max())
# print(df_value.tip.min())
# #sns.ecdfplot(y='tip',data=df_value,hue='time')
# #plt.axvline(4,c='black')
# p=sns.ecdfplot(x='tip',data=df_value,hue='day',lw=3)
# #print(type(p))
# p.legend(['Thursday','Firday','Saturday','Sunday'],title="Days of Week",loc=2)
# plt.show()