Teradata Package for Python Function Reference on VantageCloud Lake - __init__ - Teradata Package for Python - Look here for syntax, methods and examples for the functions included in the Teradata Package for Python.
Teradata® Package for Python Function Reference on VantageCloud Lake
- Deployment
- VantageCloud
- Edition
- Lake
- Product
- Teradata Package for Python
- Release Number
- 20.00.00.08
- Published
- November 2025
- ft:locale
- en-US
- ft:lastEdition
- 2025-12-05
- dita:id
- TeradataPython_FxRef_Lake_2000
- Product Category
- Teradata Vantage
- teradataml.store.feature_store.models.DataDomain.__init__ = __init__(self, repo, data_domain)
- DESCRIPTION:
Constructor for DataDomain class.
PARAMETERS:
repo:
Required Argument.
Specifies the name of the repo to which Datadomain points to.
Types: str.
data_domain:
Required Argument.
Specifies the name of the data domain.
Types: str.
RETURNS:
DataDomain
RAISES:
None
EXAMPLES:
# Example 1: Create a DataDomain object.
# Load data to be used.
>>> from teradataml import load_example_data, DataFrame
>>> load_example_data('dataframe', ['sales'])
>>> df = DataFrame('sales')
# Define repo and data doamin.
>>> repo = 'vfs_test'
>>> data_domain = 'sales'
# Create a FeatureStore.
>>> from teradataml import FeatureStore
>>> fs = FeatureStore(repo=repo, data_domain=data_domain)
Repo vfs_test does not exist. Run FeatureStore.setup() to create the repo and setup FeatureStore.
>>> fs.setup()
True
>>> from teradataml import DataDomain
>>> data_domain = DataDomain(repo='vfs_test',
... data_domain='sales')