Capturing the elapsed time between datetime variables

datetime variables offer value individually, though they may offer additional value collectively when used with other datetime variables to derive important insights. A common example consists of deriving the age at the time of an event from the date of birth and date of event variables. We can combine several datetime variables to derive the time that has passed and create more meaningful features. In this recipe, we will learn how to capture the time between two datetime variables in different formats and the time between a datetime variable and the current time by utilizing pandas, NumPy, and the datetime library.

How to do it...

To proceed with this recipe, we must import the necessary libraries and create a toy dataset:

1. Let’s begin by importing pandas, numpy, and datetime:

   import datetime
   import numpy as np
   import pandas as pd

2. Let’s create two datetime variables with 20 values each, in which values...