Data Science Lab
  • What is Data Science Lab?
  • Accessing the Data Science Lab Module
  • Data Science Lab Quick Start Flow
  • Project
    • Environments
    • Creating a Project
    • Project List
      • View
      • Keep Multiple Versions of a Project
      • Sharing a Project
      • Editing a Project
      • Activating a Project
      • Deactivating a Project
      • Deleting a Project
    • Tabs for a Data Science Lab Project
      • Tabs for TensorFlow and PyTorch Environment
        • Notebook
          • Ways to Access Notebook
            • Create
            • Import
              • Importing a Notebook
              • Pull from Git
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
              • Using an Assist Cell
            • Renaming a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Algorithms
              • Transforms
              • Utility Notebook Operation
              • Models
                • Model Explainer
                • Registering & Unregistering a Model
                • Model Filter
              • Artifacts
              • Files
              • Variable Explorer
              • Writers
              • Find and Replace
            • Notebook Actions
          • Notebook List
            • Notebook List Actions
              • Export
                • Export to Pipeline
                • Export to GIT
              • Register as Job
              • Notebook Version Control
              • Sharing a Notebook
              • Deleting a Notebook
        • Dataset
          • Adding Data Sets
            • Data Sets
            • Data Sandbox
          • Dataset List Page
            • Preview
            • Data Profile
            • Create Experiment
            • Data Preparation
            • Delete
        • Utility
          • Pull from Git (Utility)
        • Model
          • Model Explainer
          • Share a Model
          • Import Model
          • Export to GIT
          • Register a Model
          • Unregister A Model
          • Register a Model as an API Service
            • Register a Model as an API
            • Register an API Client
            • Pass Model Values in Postman
          • AutoML Models
        • Auto ML
          • Creating AutoML Experiments
            • Creating an Experiment
          • AutoML List Page
            • View Report
              • Details
              • Models
                • View Explanation
                  • Model Summary
                  • Model Interpretation
                    • Classification Model Explainer
                    • Regression Model Explainer
                    • Forecasting Model Explainer
                  • Dataset Explainer
            • Delete
      • Tabs for PySpark Environment
        • Notebook
          • Ways to Access Notebook
            • Create
            • Import
              • Importing a Notebook
          • Notebook Page
            • Preview Notebook
            • Notebook Cells
              • Using a Code Cell
              • Using a Markdown Cell
              • Using an Assist Cell
            • Renaming a Notebook
            • Resource Utilization Graph
            • Notebook Taskbar
            • Notebook Operations
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Utility
              • Files
              • Variable Explorer
              • Writers
              • Find and Replace
            • Notebook Actions
          • Notebook List
            • Notebook List Actions
              • Export
                • Export to Pipeline
                • Export to GIT
              • Register as Job
              • Notebook Version Control
              • Sharing a Notebook
              • Deleting a Notebook
        • Dataset
          • Adding Data Sets
            • Data Sets
            • Data Sandbox
          • Dataset List Page
            • Preview
            • Data Profile
            • Data Preparation
            • Delete
        • Utility
  • Repo Sync Project
    • Environments
    • Creating a Repo Sync Project
    • Project List
      • View
      • Project Migration
      • Keep Multiple Versions of a Project
      • Sharing a Project
      • Editing a Project
      • Activating a Project
      • Deactivating a Project
      • Deleting a Project
    • Tabs for a Data Science Lab Project
      • Tabs for TensorFlow and PyTorch Environment
        • Notebook
          • Accessing the Notebook Tab
          • Adding a Folder or File
          • Notebook Page
            • Preview File
            • .ipynb Cells
              • Using a Code Cell
              • Using a Markdown Cell
              • Using an Assist Cell
            • Resource Utilization Graph
            • Notebook Taskbar
            • Operations for an .ipynb File
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Algorithms
              • Transforms
              • Models
                • Model Explainer
                • Registering & Unregistering a Model
                • Model Filter
              • Files
              • Variable Explorer
              • Writers
              • Find and Replace
            • Actions Icons for .ipynb File
          • File Options
            • Export
            • Register
            • Delete
          • Git Console
        • Dataset
          • Adding Data Sets
            • Data Sets
            • Data Sandbox
          • Dataset List Page
            • Preview
            • Data Profile
            • Create Experiment
            • Data Preparation
            • Delete
        • Model
          • Import Model
          • Model Explainer
          • Share a Model
          • Export to GIT
          • Register a Model
          • Unregister A Model
          • Register a Model as an API Service
            • Register a Model as an API
            • Register an API Client
            • Pass Model Values in Postman
          • AutoML Models
        • Auto ML
          • Creating AutoML Experiments
            • Creating an Experiment
          • AutoML List Page
            • Experiment Status
            • Actions
              • View Report
                • Details
                • Models
                  • View Explanation
                    • Model Summary
                    • Model Interpretation
                      • Classification Model Explainer
                      • Regression Model Explainer
                      • Forecasting Model Explainer
                    • Dataset Explainer
              • Delete
      • Tabs for PySpark Environment
        • Notebook
          • Accessing the Notebook Tab
          • Adding a Folder or File
          • Notebook Page
            • Preview a File
            • Cells for .ipynb Files
              • Using a Code Cell
              • Using a Markdown Cell
              • Using an Assist Cell
            • Resource Utilization Graph
            • Notebook Taskbar
            • Operations for an .ipynb File
              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Files
              • Variable Explorer
              • Writers
              • Find and Replace
            • Actions for .ipynb Files
            • File Options
              • Export
              • Register
              • Delete
            • Git Console
        • Dataset
          • Adding Data Sets
            • Data Sets
            • Data Sandbox
          • Dataset List Page
            • Preview
            • Data Profile
            • Data Preparation
            • Delete
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On this page
  1. Repo Sync Project
  2. Tabs for a Data Science Lab Project
  3. Tabs for PySpark Environment
  4. Notebook
  5. Notebook Page
  6. File Options

Export

An .ipynb file can be exported to the Data Pipeline module by using this option.

PreviousFile OptionsNextRegister

Last updated 1 year ago

Check out the given illustration on how to export an .ipynb file to Data Pipeline module.

Please Note: Only the .ipynb files will have Export, Register, and Delete options available to them under a Repo Sync Project. All other types of files will support only Delete option.

  • Navigate to the Notebook within a Repo Sync Project.

  • Click the Ellipsis icon for a .ipynb file to open the context menu with more options.

  • Select the Export option from the file context menu.

  • The Export to Pipeline/Git dialog box opens.

  • Select the Export to Pipeline option using the checkbox.

  • Select a specific function using another checkbox (The user may also select the Select All option using the given checkbox).

  • Click the Next option.

Please Note: The user must write a function to use Export to Pipeline functionality.

  • The next screen will appear with the selected script, click the Validate icon.

  • A notification message appears to ensure that the script is validated.

  • The Export to Pipeline option gets enabled, click it.

  • A notification message appears to ensure that the Notebook script is exported.

  • Navigate to a Data Pipeline containing the DS Lab Runner component.

  • Open the Meta Information tab of the DS Lab Runner component.

  • Select the required information as given below to access the exported script:

    • Execution Type: Select the Script Runner option.

    • Function Input Type: Select one option out of the Data Frame or List.

    • Project Name: Select the Project name using the drop-down menu.

    • Script Name: Select the script name using the drop-down menu.

    • External Library: Mention the external library.

    • Start Function: Select a function name using the drop-down menu.

  • The exported Script displays under the Script section.

Export External Libraries

The user can also export External Libraries used in the project along with scripts.

  • The Libraries panel opens.

  • Select the necessary libraries using the provided checkboxes to export them along with the scripts.

Remember to close the Libraries drawer after selecting the required scripts and use the Export to Pipeline option provided on the Export to Pipeline/ Git drawer to complete the action.

Please Note:

  • The Export to Git option will be disabled for the .inpynb files saved under a Repo Sync Project.

Click the External Libraries icon that appears next to the Validate icon inside the Export to Pipeline/ Git drawer window.

Refer the page to get an overview of the Data Science Lab module in nutshell.

Data Science Lab Quick Start Flow
Exporting an .ipynb file to Data Pipeline
The Exported Script inside the Pipeline module