Python Feature Engineering Cookbook

How to do it...

To proceed with the recipe, let's import the libraries and create a toy dataset:

1. Let's import pandas and NumPy:

import numpy as npimport pandas as pd

2. Let's create 20 datetime observations, beginning from 2019-03-05 at midnight followed by increments of 1 hour, 15 minutes, and 10 seconds. Then, let's capture the range in a dataframe and display the top five rows:

rng_ = pd.date_range('2019-03-05', periods=20, freq='1h15min10s')df = pd.DataFrame({'date': rng_}) df.head()

In the following screenshot, we can see the variable we just created, with a date and a time part, and the values increasing by intervals of 1 hour, 15 minutes, and 10 seconds:

3. Let's extract the hour, minute, and second parts of the time into three new ...