# Transform ## *class* Transform An interface for working with transforms on Redivis. ## Constructors

Method	Description
`redivis.transform`(name)	Create a reference to a transform based on its (qualified) name
`Workflow.transform`(name)	Return a transform within a specific workflow.
`Workflow.list_transforms`([max_results])	Returns a list of Transforms within a workflow

## Examples ```python username = "imathews" workflow_name = "example_workflow_climate_analysis:x7kh" transform_name = "join_lat_lon:m9tz" transform = redivis.transform(f"{username}.{workflow_name}.{transform_name}") transform.run() ``` ## Attributes

Name	Description
`workflow`	A reference to the Workflow instance that is associated with this transform.
`properties`	A dict containing the API resource representation of the transform. This will only be populated after certain methods are called, particularly the `get` method, and will otherwise be `None`.
`qualified_reference`	The fully qualified reference to this transform For example, `imathews.example_workflow_climate_analysis:x7kh.join_lat_lon:m9tz`
`scoped_reference`	The canonical reference for the transform, without any qualifiers. E.g., `join_lat_lon:m9tz`

## Methods

Method	Description
`transform.cancel`()	Cancel a running transform
`transform.get`()	Fetches the transform, after which transform.properties will contain a dict with entries corresponding to the properties on the transform resource definition. Will raise an error if the transform does not exist.
`transform.exists`()	Check whether the transform exists.
`transform.output_table`()	Get a reference to the transform's output table.
`transform.run`([*, wait_for_finish=True])	Run a transform.
`transform.referenced_tables`()	Get an ordered list of tables referenced by the transform.
`transform.source_table`()	Get the transform's source table.
`transform.update`([*, name, source_table])	Update the transform's name and/or source.