I am using ipython Jupyter notebook. Let's say I defined a function that occupies a lot of space on my screen. Is there a way to collapse the cell?
I want the function to remain executed and callable, yet I want to hide / collapse the cell in order to better visualize the notebook. How can I do this?
You can create a cell and put the following code in it:
Running this cell will hide all input cells. To show them back, you can use the menu to clear all outputs.
Otherwise you can try notebook extensions like below:
https://github.com/ipython-contrib/IPython-notebook-extensions/wiki/Home_3x
I had a similar issue and the "nbextensions" pointed out by @Energya worked very well and effortlessly. The install instructions are straight forward (I tried with anaconda on Windows) for the notebook extensions and for their configurator.
That said, I would like to add that the following extensions should be of interest.
Hide Input | This extension allows hiding of an individual codecell in a notebook. This can be achieved by clicking on the toolbar button:
Collapsible Headings | Allows notebook to have collapsible sections, separated by headings
Codefolding | This has been mentioned but I add it for completeness
The
jupyter contrib nbextensions
Python package contains a code-folding extension that can be enabled within the notebook. Follow the link (Github) for documentation.To install using command line:
To make life easier in managing them, I'd also recommend the
jupyter nbextensions configurator
package. This provides an extra tab in your Notebook interface from where you can easily (de)activate all installed extensions.Installation:
JupyterLab supports cell collapsing. Clicking on the blue cell bar on the left will fold the cell.
Create custom.js file inside ~/.jupyter/custom/ with following contents:
After saving, restart the server and refresh the notebook. You can collapse any cell by clicking on the input label (In[]).
There's also an improved version of Pan Yan suggestion. It adds the button that shows code cells back:
Or python: