Memory Usage

This transform returns the memory usage of each column in bytes.

tags: [“EDA”]

Parameters

The table gives a brief description about each parameter in Memory Usage 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. This contains the memory used by each column. (Required: True, Multiple: False)

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

The output after running the Memory Usage transform on the dataset appears as below. This displays the memory used by each column:

How to use it in Notebook

template=TemplateV2.get_template_by('Memory Usage')

recipe_Memory_Usage= project.addRecipe([car_data, employee_data, temperature_data, only_numeric], name='Memory Usage')

transform=Transform()
transform.templateId = template.id
transform.name='Memory Usage'
transform.variables = {
'input_dataset':'car',
'output_dataset':'car_memory'}
recipe_Memory_Usage.add_transform(transform)
recipe_Memory_Usage.run()

Requirements

pandas