The datetime variables offer value individually and they offer more value collectively when used together with other datetime variables to derive important insights. The most common example consists in deriving the age from the date of birth and today variable, or the day the customer had an accident or requested a loan. Like these examples, we can combine several datetime variables to derive the time that passed in between 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 day, utilizing pandas, NumPy, and the datetime library.
United States
Great Britain
India
Germany
France
Canada
Russia
Spain
Brazil
Australia
Singapore
Hungary
Ukraine
Luxembourg
Estonia
Lithuania
South Korea
Turkey
Switzerland
Colombia
Taiwan
Chile
Norway
Ecuador
Indonesia
New Zealand
Cyprus
Denmark
Finland
Poland
Malta
Czechia
Austria
Sweden
Italy
Egypt
Belgium
Portugal
Slovenia
Ireland
Romania
Greece
Argentina
Netherlands
Bulgaria
Latvia
South Africa
Malaysia
Japan
Slovakia
Philippines
Mexico
Thailand