Shuffle Dataset

This transform randomly reorder the rows in the dataset.

tags: [“Data Preparation”]

Parameters

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

Name:

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

Input Dataset:

The file name of the input dataset. You can select the dataset that was uploaded from the drop-down list to shuffle. (Required: True, Multiple: False)

Output Dataset:

The file name with which the dataset is created after shuffling. (Required: True, Multiple: False)

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

The output after running the Shuffle Dataset 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 Shuffle Dataset transform:

template=TemplateV2.get_template_by('Shuffle Dataset')

recipe_Shuffle_Dataset= project.addRecipe([car_data, employee_data, temperature_data, only_numeric], name='Shuffle Dataset')

transform=Transform()
transform.templateId = template.id
transform.name='Shuffle Dataset'
transform.variables = {
'input_dataset':'car',
'output_dataset':'car_shuf'}
recipe_Shuffle_Dataset.add_transform(transform)
recipe_Shuffle_Dataset.run()

Requirements

pandas