All

This transform returns a True value unless any of the elements in the dataset is 0, nan (or) empty, potentially over an axis.

tags: [“EDA”]

Parameters

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

Sample input for All transform:

../../../_images/all_output1.png

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

../../../_images/all_output_new.png

How to use it in Notebook

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

template=TemplateV2.get_template_by('All')

recipe_All= project.addRecipe([car_data, employee_data, temperature_data, only_numeric], name='All')

transform=Transform()
transform.templateId = template.id
transform.name='All'
transform.variables = {
'input_dataset':'car',
'output_dataset':'car_all'}
recipe_All.add_transform(transform)
recipe_All.run()

Requirements

pandas