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Files

Files can be data files (ex. data.csv), images (ex, image.jpg), or notebooks (ex. ipynb).
Files are stored within projects in Noteable and can be viewed in the UI, imported into dataframes for Python access, or queried with SQL using the local DB.

Upload files

To upload files to a project:
From space or project
From notebook
  1. 1.
    Go to the space or project.
  2. 2.
    Drag & Drop the file into the project table OR click the
    Upload button.
If you use the
Upload button:
  • Drag & Drop the file to the upload window OR click the Upload from computer link to search for and select the file.
You can close this window once the file beings uploading and you will be notified when the upload is complete.
  1. 1.
    Go to the notebook.
  2. 2.
    Open the project panel using the
    icon from the left sidebar.
  3. 3.
    Drag & Drop file into project panel OR click the plus sign (
    ) button.
If you use the plus sign (
) button:
  1. 1.
    Select
    Add files.
  2. 2.
    Drag & Drop the file to the upload window OR click the Upload from computer link to search for and select the file.
You can close this window once the file beings uploading and you will be notified when the upload is complete.
When file upload is complete, it will be immediately available in the project list and from the kernel environment.
Files over 100MB in size must be stored using Datasets. Read more: Datasets.

Use & manage files

You can see the file list from the project page or from within the project panel of the notebook.
To see the menu of available options for files:
From project page
From project panel of notebook
  1. 1.
    Go to the project.
  2. 2.
    Click on the
    icon for the file to open the menu.
  1. 1.
    Go to the notebook.
  2. 2.
    Open the project panel using the
    icon from the left sidebar.
  3. 3.
    Hover over the file to access the
    menu.
From this menu, you have the following options:
Copy path
Copy the full path to the file for use in notebook code.
Download
Download the file to your local computer.
Move
Move the file to another project. Only available if you're the file's Owner. Read more File & folder permissions.
Duplicate
Duplicate the file to a project of your choice.
Create SQL view
Creates a Python cell with the code to import the file into the local DB (SQLite). Learn more Query project files. Only available for CSV files.
Query with Python
Load the file into a Pandas dataframe using Python. Only available for CSV files.
Open in a New Tab
Open file contents in a new tab.
Copy URL
Copy URL for sharing.
Delete
Delete the file. Only available if you're the file's Owner. Read more File & folder permissions.

Learn more

Working with Dataset Files within Noteable
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