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.
To upload files to a project:
From space or project
From notebook
- 1.Go to the space or project.
- 2.Drag & Drop the file into the project table OR click theUpload 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.Go to the notebook.
- 2.Open the project panel using theicon from the left sidebar.
- 3.Drag & Drop file into project panel OR click the plus sign () button.
If you use the plus sign (
) button:
- 1.SelectAdd files.
- 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.
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.Go to the project.
- 2.Click on theicon for the file to open the menu.
- 1.Go to the notebook.
- 2.Open the project panel using theicon from the left sidebar.
- 3.Hover over the file to access themenu.
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 |
Working with Dataset Files within Noteable
Last modified 1yr ago