Generate 10x10 Negative Int dataset

This transform generates a 10x10 random negative integer dataset using numpy library and then convert it to a pandas dataset.

tags: [“Data Preparation”]

Parameters

The table gives a brief description about each parameter in **Generate 10x10 Negative Int 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 negative integer values. (Required: True, Multiple: False)

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

The output after running the Generate 10x10 Negative Int 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 Negative Int dataset transform:

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

recipe_Generate_10x10_Negative_Int_dataset_= project.addRecipe([car_data, employee_data, temperature_data, only_numeric], name='Generate 10x10 Negative Int dataset ')

transform=Transform()
transform.templateId = template.id
transform.name='Generate 10x10 Negative Int dataset '
transform.variables = {
'output_dataset':'id_dataset_10_neg'}
recipe_Generate_10x10_Negative_Int_dataset_.add_transform(transform)
recipe_Generate_10x10_Negative_Int_dataset_.run()

Requirements

pandas numpy