Cumsum

This transform calculates the cumulative sum for each value in the column. It sums previous value to the current value in the column.

tags: [“EDA”]

Parameters

The table gives a brief description about each parameter in Cumsum 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. (Required: True, Multiple: False)

Output Dataset:

The file name with which the output dataset is created after performing the cumulative sum transform on the input dataset. (Required: True, Multiple: False)

The sample input for this transform looks as below:

The output after running the Cumsum 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 Cumsum transform:

template=TemplateV2.get_template_by('Cumsum')

recipe_Cumsum= project.addRecipe([car_data, employee_data, temperature_data, only_numeric], name='Cumsum')

transform=Transform()
transform.templateId = template.id
transform.name='Cumsum'
transform.variables = {
'input_dataset':'car',
'output_dataset':'car_cumsum'}
recipe_Cumsum.add_transform(transform)
recipe_Cumsum.run()

Requirements

pandas