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              • Using a Markdown Cell
            • Modifying a Notebook
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              • Datasets
                • Copy Path (for Sandbox files)
              • Secrets
              • Variable Explorer
              • Find and Replace
          • Notebook List Page
            • Export
              • Export to Pipeline
              • Export to GIT
            • Notebook Version Control
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        • Dataset
          • Adding Data Sets
          • Dataset List Page
            • Preview
            • Data Profile
            • Data Preparation
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        • Utility
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  1. Project
  2. Tabs for a Data Science Lab Project
  3. Tabs for PySpark Environment
  4. Notebook
  5. Notebook Page
  6. Notebook Operations
  7. Datasets

Copy Path (for Sandbox files)

Sandbox files uploaded with the following file types can be accessed inside the Data Science Notebook using the Copy Path operation.

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Last updated 2 years ago

A file along with the Data Sandbox environment variable (@SYS.DATASANDBOX_PATH) can be generated with the Copy Path functionality and accessed inside the Data Science Lab Notebooks.

Please Note: The supported File types are txt, png, jpg, jpeg, xls, xlsm, and mp4.

  • Navigate to the Notebook page.

  • Open the Datasets tab.

  • Select a Sandbox file with the supported file types (txt, png, jpg, jpeg, xls, xlsm, and mp4).

  • Click the Ellipsis icon.

  • Choose the Copy Path option.

  • It will provide the file path in the new code cell with the Data Sandbox Environment Variable.

  • The user can run the cell with the file path to open the file and access the data.