Difference between two dates in days , weeks, Months and years in Pandas python

Difference between two date columns in pandas can be achieved using timedelta function in pandas. In this section we will be covering difference between two dates in days, week , and year in pandas python with example for each. We will be explaining how to get

  • Difference between two dates in days pandas dataframe python
  • Difference between two dates in weeks pandas dataframe python
  • Difference between two dates in Months pandas dataframe python
  • Difference between two dates in years pandas dataframe python

First lets create a dataframe with two dates.

import pandas as pd
import numpy as np
import datetime
from dateutil.relativedelta import relativedelta
from datetime import date


date1 = pd.Series(pd.date_range('2012-1-1 12:00:00', periods=7, freq='M'))
date2 = pd.Series(pd.date_range('2013-3-11 21:45:00', periods=7, freq='W'))

df = pd.DataFrame(dict(Start_date = date1, End_date = date2))
print(df)

so the resultant dataframe will be

Difference between two dates in days , weeks, Months and years in Pandas python 1

 

Difference between two dates in days – pandas dataframe python

  • First line calculates the difference between two dates
  • Second line converts the difference in terms of days (timedelta64(1,’D’)- D indicates days)
df['diff_days'] = df['End_date'] - df['Start_date']
df['diff_days']=df['diff_days']/np.timedelta64(1,'D')

print(df)

so the resultant dataframe will be

Difference between two dates in days , weeks, Months and years in Pandas python 1

 

Difference between two dates in weeks – pandas dataframe python

  • First line calculates the difference between two dates
  • Second line converts the difference in terms of weeks (timedelta64(1,’W’)- W indicates weeks)
df['diff_weeks'] = df['End_date'] - df['Start_date']
df['diff_weeks']=df['diff_weeks']/np.timedelta64(1,'W')

print(df)

so the resultant dataframe will be

 Difference between two dates in days , weeks, Months and years in Pandas python 1

 

Difference between two dates in Months – pandas dataframe python

  • First line calculates the difference between two dates
  • Second line converts the difference in terms of Months (timedelta64(1,’M’)-  capital M indicates Months)
df['diff_months'] = df['End_date'] - df['Start_date']
df['diff_months']=df['diff_months']/np.timedelta64(1,'M')

print(df)

so the resultant dataframe will be

Difference between two dates in days , weeks, Months and years in Pandas python 1

 

Difference between two dates in Years – pandas dataframe python

  • First line calculates the difference between two dates
  • Second line converts the difference in terms of Years (timedelta64(1,’Y’)- Y indicates years)
df['diff_years'] = df['End_date'] - df['Start_date']
df['diff_years']=df['diff_years']/np.timedelta64(1,'Y')

print(df)

so the resultant dataframe will be

Difference between two dates in days , weeks, Months and years in Pandas python 1

 

Difference between two dates in days , weeks, Months and years in Pandas python                                                                                                           Difference between two dates in days , weeks, Months and years in Pandas python

Author

  • Sridhar Venkatachalam

    With close to 10 years on Experience in data science and machine learning Have extensively worked on programming languages like R, Python (Pandas), SAS, Pyspark.