featurebyte.FeatureList.list_features

list_features( ) -> DataFrame

Description

Returns a DataFrame that contains various attributes of the features in a Feature List object, such as their names, versions, types, corresponding tables, related entities, creation dates, states of readiness and online availability.

Returns

• DataFrame
  Table of features in this feature list.
  
  

Examples

>>> feature_list = catalog.get_feature_list("invoice_feature_list")
>>> display_columns = ["name", "version", "dtype", "primary_tables", "primary_entity"]
>>> feature_list.list_features().sort_values("created_at")[
...     display_columns
... ]  # doctest: +SKIP
                  name  version  dtype    primary_tables   primary_entity
0  InvoiceCount_60days  V230330  FLOAT  [GROCERYINVOICE]  [grocerycustomer]

See Also

• FeatureList.list_versions