Use the features property to get the features from a feature group.
Example setup
>>> from teradataml import DataSource, Entity, Feature, FeatureGroup, load_example_data
>>> load_example_data("dataframe", "sales")
Example: Get the features from a feature group
Create a DataFrame.
>>> df = DataFrame("sales")
Create the features.
>>> jan_feature = Feature("sales:Jan", df.Jan)
>>> feb_feature = Feature("sales:Fan", df.Feb)
>>> mar_feature = Feature("sales:Mar", df.Mar)
>>> apr_feature = Feature("sales:Apr", df.Apr)
Create an entity.
>>> entity = Entity("sales:accounts", df.accounts)
Create a data source.
>>> data_source = DataSource("sales_source", df)
Create a feature group.
>>> fg = FeatureGroup('Sales',
... features=[jan_feature, feb_feature, mar_feature, apr_feature],
... entity=entity,
... data_source=data_source)
Get the features from the feature group.
>>> fg.features
[Feature(name=sales:Jan), Feature(name=sales:Feb), Feature(name=sales:Mar), Feature(name=sales:Apr)]