get_feature() | FeatureStore Get Method | Teradata Package for Python - get_feature() - Teradata Package for Python

Use the get_feature() method to retrieve the feature.

Required Parameter

name

Specifies the name of the feature to get.

Example setup

>>> from teradataml import DataFrame, FeatureStore, load_example_data

Example: Get the name of the feature

Create DataFrame on sales data.

>>> load_example_data("dataframe", "sales")
>>> df = DataFrame("sales")
>>> df

              Feb    Jan    Mar    Apr    datetime
accounts
Orange Inc  210.0    NaN    NaN  250.0  04/01/2017
Jones LLC   200.0  150.0  140.0  180.0  04/01/2017
Blue Inc     90.0   50.0   95.0  101.0  04/01/2017
Alpha Co    210.0  200.0  215.0  250.0  04/01/2017
Yellow Inc   90.0    NaN    NaN    NaN  04/01/2017

Create a FeatureStore for repo 'vfs_v1'.

>>> fs = FeatureStore("vfs_v1")

Repo vfs_v1 does not exist. Run FeatureStore.setup() to create the repo and setup FeatureStore.

Set up FeatureStore for this repository.

>>> fs.setup()

True

Create Feature for column 'Mar' with name 'sales_mar'.

>>> feature = Feature('sales_mar', column=df.Mar)

Apply the Feature to FeatureStore.

>>> fs.apply(feature)

True

Get the feature 'sales_mar' from repo 'vfs_v1'.

>>> feature = fs.get_feature('sales_mar')
>>> feature

Feature(name=sales_mar)