Python Feature Engineering Cookbook

How to do it...

Let's begin by importing the necessary libraries and getting the dataset ready:

1. Let's import pandas and Featuretools:

import pandas as pdimport featuretools as ft

2. Let's load the mock customer transactions dataset from Featuretools into a dataframe:

data_dict = ft.demo.load_mock_customer()data = data_dict["transactions"].merge(         data_dict["sessions"]).merge(data_dict["customers"])data = data[['customer_id', 'transaction_id',         'transaction_time', 'amount']]

3. To work with Featuretools, we need to transform the dataframe into an entity set. To do this, we'll create an entity set and give it a representative name:

es = ft.EntitySet(id="customer_data")

4. We'll add the dataframe to the entity set by specifying that transaction_id ...