list_dataset_catalogs() | FeatureStore List Method | Teradata Package for Python - list_dataset_catalogs() - Teradata Package for Python

Use the list_dataset_catalogs() method to list all the dataset catalogs.

There are no parameters for this function.

Example setup

>>> from teradataml import FeatureStore

Example 1: List all the dataset catalogs in the repo 'vfs_v1'

Create FeatureStore 'vfs_v1' or use existing one.

>>> fs = FeatureStore("vfs_v1", data_domain='sales')

FeatureStore is ready to use.

Load the sales data.

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

Create a feature process.

>>> from teradataml import FeatureProcess
>>> fp = FeatureProcess(repo="vfs_v1",
...                     data_domain='sales',
...                     object=df,
...                     entity="accounts",
...                     features=["Jan", "Feb", "Mar", "Apr"])
>>> fp.run()

Process '5747082b-4acb-11f0-a2d7-f020ffe7fe09' started.
Process '5747082b-4acb-11f0-a2d7-f020ffe7fe09' completed.

Create a dataset catalog.

>>> from teradataml import DatasetCatalog
>>> dc = DatasetCatalog(repo='vfs_v1', data_domain='sales')
>>> dataset = dc.build_dataset(entity='accounts',
...                            selected_features = {
...                                 'Jan': '5747082b-4acb-11f0-a2d7-f020ffe7fe09',
...                                 'Feb': '5747082b-4acb-11f0-a2d7-f020ffe7fe09'},
...                            view_name='ds_jan_feb',
...                            description='Dataset with Jan and Feb features')

List all the dataset catalogs in the repo 'vfs_v1'.

>>> fs.list_dataset_catalogs()

                                     data_domain        name entity_name database_name                        description                      valid_start                        valid_end
id
4f763a7b-8920-448c-87af-432e7d36c9cb       sales  ds_jan_feb    accounts        vfs_v1  Dataset with Jan and Feb features  2025-06-16 16:15:17.577637+00:  9999-12-31 23:59:59.999999+00: