Superset

This transform creates a superset for the given two datasets. This checks if all the elements in set B are present in Set A and returns those values.

tags: [“Data Preparation”]

Parameters

The table gives a brief description about each parameter in Superset transform.

Name:

By default, the transform name is populated. You can also add a custom name for the transform.

First Input Dataset:

The file name of the first input dataset, which you can select from the drop-down list. (Required: True, Multiple: False)

Second Input Dataset:

The file name of the second input dataset, which you can select from the drop-down list to run the Superset transform. (Required: True, Multiple: False)

Superset:

The file name of the output dataset which is the superset of two datasets. (Required: True, Multiple: False)

The sample input for this transform looks as shown in the screenshot:

The output after running the Superset transform on the dataset appears as below:

How to use it in Notebook

The following is the code snippet you must use in the Jupyter Notebook editor to run the Superset transform:

template=TemplateV2.get_template_by('Superset')

recipe_Superset= project.addRecipe([car_data, employee_data, temperature_data, only_numeric], name='Superset')

transform=Transform()
transform.templateId = template.id
transform.name='Superset'
transform.variables = {
'input_dataset':'car',
'input_dataset':'car',
'output_dataset':'superset'}
recipe_Superset.add_transform(transform)
recipe_Superset.run()

Requirements

pandas