featuretools.demo.
load_retail
Returns the retail entityset example. The original dataset can be found here.
We have also made some modifications to the data. We changed the column names, converted the customer_id to a unique fake customer_name, dropped duplicates, added columns for total and cancelled and converted amounts from GBP to USD. You can download the modified CSV in gz compressed (7 MB) or uncompressed (43 MB) formats.
customer_id
customer_name
total
cancelled
id (str) – Id to assign to EntitySet.
nrows (int) – Number of rows to load of the underlying CSV. If None, load all.
return_single_table (bool) – If True, return a CSV rather than an EntitySet. Default is False.
Examples
In [1]: import featuretools as ft In [2]: es = ft.demo.load_retail() In [3]: es Out[3]: Entityset: demo_retail_data Entities: orders (shape = [22190, 3]) products (shape = [3684, 3]) customers (shape = [4372, 2]) order_products (shape = [401704, 7])
Load in subset of data
In [4]: es = ft.demo.load_retail(nrows=1000) In [5]: es Out[5]: Entityset: demo_retail_data Entities: orders (shape = [67, 5]) products (shape = [606, 3]) customers (shape = [50, 2]) order_products (shape = [1000, 7])