delete_feature_group() | FeatureStore Delete Method | Teradata Package for Python - delete_feature_group() - Teradata Package for Python

Use the delete_feature_group() method to remove the archived feature group from the repository.

Required Parameter

feature_group

Specifies either the name of the feature group or object of the feature group to remove from the repository.

Example setup

>>> from teradataml import DataFrame, FeatureGroup, FeatureStore

Create teradataml DataFrame.

>>> load_example_data('dataframe', ['sales'])
>>> df = DataFrame("sales")

Create FeatureStore for repo 'vfs_v1'.

>>> fs = FeatureStore("vfs_v1", data_domain="d1")

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

Set up the feature store for this repository.

>>> fs.setup()

True

Example 1: Delete the FeatureGroup 'sales' in the repo 'vfs_v1' using FeatureGroup name

Create FeatureGroup from teradataml DataFrame.

>>> fg = FeatureGroup.from_DataFrame(name="sales", entity_columns="accounts", df=df, timestamp_column="datetime")

Apply FeatureGroup to FeatureStore.

>>> fs.apply(fg)

True

List all the available FeatureGroups.

>>> fs.list_feature_groups()

                  description data_source_name entity_name               creation_time modified_time
name  data_domain                                                                                  
sales d1                 None            sales       sales  2025-07-28 05:00:19.780453          None

Archive FeatureGroup with name "sales".

>>> fs.archive_feature_group(feature_group='sales')

FeatureGroup 'sales' is archived.
True

Delete FeatureGroup with name "sales".

>>> fs.delete_feature_group(feature_group='sales')

FeatureGroup 'sales' is deleted.
True

List all the available FeatureGroups after delete.

>>> fs.list_feature_groups()

Empty DataFrame
Columns: [description, data_source_name, entity_name, creation_time, modified_time]
Index: []

Example 2: Delete the FeatureGroup 'sales' in the repo 'vfs_v1' using FeatureGroup object

Create FeatureGroup from teradataml DataFrame.

>>> fg2 = FeatureGroup.from_DataFrame(name="sales", entity_columns="accounts", df=df, timestamp_column="datetime")

Apply FeatureGroup to FeatureStore.

>>> fs.apply(fg2)

True

Archive FeatureGroup with FeatureGroup object.

>>> fs.archive_feature_group(feature_group=fg2)

FeatureGroup 'sales' is archived.
True

Delete FeatureGroup with FeatureGroup object.

>>> fs.delete_feature_group(feature_group=fg2)

FeatureGroup 'sales' is deleted.
True