Connecting to Google Drive

You can connect to Google Drive from within the DataSphere interface.

Getting startedGetting started

Open the DataSphere project:

1. Select the project in your community or on the DataSphere home page in the Recent projects tab.

2. Click Open project in JupyterLab and wait for the loading to complete.
3. Open the notebook tab.

Importing the contents from a file on Google Drive to a DataSphere project fileImporting the contents from a file on Google Drive to a DataSphere project file

1. Go to a new cell and paste the command to import the contents from a file on Google Drive:

   # %pip install gdown if needed
   
   import gdown
   
   gdrive_file_id = '<Google_Drive_file_ID>'
   dst_path = '<path_to_file_in_DataSphere_project>'
   
   gdown.download(id=gdrive_file_id, output=dst_path)
   

   Where:

   • <Google_Drive_file_ID>: ID of the Google Drive file whose contents you need to import to DataSphere.
   • <path_to_file_in_DataSphere_project>: Path to the DataSphere project file to import data to.

2. Run the cell by selecting Run → Run Selected Cells or pressing Shift + Enter.

Importing the contents from a folder on Google Drive to a DataSphere project folderImporting the contents from a folder on Google Drive to a DataSphere project folder

1. Go to a new cell and paste the command to import the contents from a folder on Google Drive:

   # %pip install gdown if needed
   
   import gdown
   
   gdrive_folder_id = '<Google_Drive_folder_ID>'
   dst_path = '<path_to_folder_in_DataSphere_project>'
   
   gdown.download_folder(id=gdrive_folder_id, output=dst_path)
   

   Where:

   • <Google_Drive_folder_ID>: ID of the Google Drive folder whose contents you need to import to DataSphere.
   • <path_to_folder_in_DataSphere_project>: Path to the DataSphere project folder to import data to.

2. Run the cell.