Connecting to Google Drive

You can connect to the Google Drive file storage service from the DataSphere interface.

Getting startedGetting started

Open the DataSphere project:

1. Select the relevant project in your community or on the DataSphere homepage in the Recent projects tab.

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

Uploading the contents from a file on Google Drive to a DataSphere project fileUploading the contents from a file on Google Drive to a DataSphere project file

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

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

   Where:

   • <Google_Drive_file_ID>: ID of the Google Drive file, the content of which needs to be imported to DataSphere.
   • <DataSphere_project_file_path>: Path to the DataSphere project file to import data to.

2. Run the cell. To do this, choose Run → Run Selected Cells or press Shift + Enter.

Uploading the contents from a folder on Google Drive to a DataSphere project folderUploading the contents from a folder on Google Drive to a DataSphere project folder

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

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

   Where:

   • <Google_Drive_folder_ID>: ID of the Google Drive folder, the content of which needs to be imported to DataSphere.
   • <DataSphere_project_folder_path>: Path to the DataSphere project folder to import data to.

2. Run the cell.