Some events occur more often on certain days of the week, for example, loan applications occur more likely during the week than over weekends, whereas others occur more often during certain weeks of the year. Businesses and organizations may also want to track some key performance metrics throughout the week. Therefore, deriving weeks and days from a date variable is very useful to support organizations in meeting their objectives, and they may also be predictive in machine learning. In this recipe, we will learn how to derive different representations of days and weeks from a datetime variable using pandas and NumPy.
Creating representations of day and week
How to do it...
To proceed with the recipe, let's import the...
