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
United Kingdom
India
Germany
France
Canada
Russia
Spain
Brazil
Australia
Argentina
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Belgium
Bulgaria
Chile
Colombia
Cyprus
Czechia
Denmark
Ecuador
Egypt
Estonia
Finland
Greece
Hungary
Indonesia
Ireland
Italy
Japan
Latvia
Lithuania
Luxembourg
Malaysia
Malta
Mexico
Netherlands
New Zealand
Norway
Philippines
Poland
Portugal
Romania
Singapore
Slovakia
Slovenia
South Africa
South Korea
Sweden
Switzerland
Taiwan
Thailand
Turkey
Ukraine