Python Feature Engineering Cookbook

How it works...

In this recipe, we extracted the date and time parts of a datetime variable. We first created a toy dataframe with a variable that contained both the date and time in its values. To create the toy dataframe, we used the pandas date_range() method to create a range of values starting from an arbitrary date and increasing this by intervals of 1 minute. With the periods argument, we indicated the number of values to create in the range, that is, the number of dates; and with the freq argument, we indicated the size of the steps between the dates—we used T for minutes in our example. Finally, we transformed the date range into a dataframe with the pandas DataFrame() method.

With pandas' head(), we displayed the first five rows ...