Generate 10x10 Identity dataset

This transform will create a 10x10 identity matrix in Pandas using numpy library wherein all diagonal elements are 1 and the off-diagonal elements are 0.

tags: [“Data Preparation”]

Parameters

The table gives a brief description about each parameter in **Generate 10x10 Identity dataset ** transform.

Name:

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

Output Dataset:

The file name with which the output dataset is created with 10x10 identity matrix. (Required: True, Multiple: False)

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

The output after running the **Generate 10x10 Identity 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 **Generate 10x10 Identity dataset ** transform:

template=TemplateV2.get_template_by('Generate 10x10 Identity dataset ')

recipe_Generate_10x10_Identity_dataset_= project.addRecipe([car_data, employee_data, temperature_data, only_numeric], name='Generate 10x10 Identity dataset ')

transform=Transform()
transform.templateId = template.id
transform.name='Generate 10x10 Identity dataset '
transform.variables = {
'output_dataset':'id_dataset_10'}
recipe_Generate_10x10_Identity_dataset_.add_transform(transform)
recipe_Generate_10x10_Identity_dataset_.run()

Requirements

pandas numpy