I'm using VS Code to write Jupyter notebook as I feel more comfortable with it. I found out that there is no option to edit meta data of the cells in order to hide only select code cells. I also came across some answers suggesting to use # #hidden_cell in the code cell but that doesn't work or am I doing it wrong? not much information was available for this.
I tried using the command
jupyter nbconvert my_notebook.ipynb --no-input --to pdf
and that works fine but it removes all the code. I wish to remove only specific code cells.
You can use .env to hide the code.
hidden_code = (code)
Then use the variable hidden_code inside brackets to use it.
I accidentally told my Jupyter notebook to display 7000 rows of pandas DataFrame all at once (with the max rows variable set to None). As such the web interface is completely unresponsive so I can't interrupt it normally. I don't want to have to rerun all of the previous cells in the notebook to get back to my previous position.
Is there a way to interrupt the kernel from the command line without losing the existing state?
this can be executed in the command line of the jupyter notebook this may help your question
jupyter notebook --help
I'm starting to work more with Jupyter notebooks, and am really starting to like it. However, I find it difficult to use it with my particular setup.
I have a workstation for running all the notebooks, but for a large part of my day I'm on-the-go with a space-constrained laptop with no power outlets. I'd like to be able to edit (but not run) these notebooks without installing and running the full Jupyter server backend, which I imagine would suck up a lot of power.
My question is: Is it possible for me to edit (and not run) notebooks without running the Jupyter server?
You could use one of the following options
1. ipynb-py-convert
With this module you can do a conversion from .py to .ipynb and vice-versa:
ipynb-py-convert ~/name_of_notebook.ipynb ~/name_of_notebook.py
where according to the documentation the cells are left as they are. To get back a jupyter notebook
ipynb-py-convert ~/name_of_notebook.py ~/name_of_notebook.ipynb
2. Ipython
However, you could also do a conversion to .py when you want to work it with an editor like VS Code or Sublime Text after you have download your .ipynb file with ipython:
ipython nbconvert --to python name_of_your_notebook.ipynb
As I was asking this question, I had opened the notebook locally in Visual Studio Code, but the preview was just the raw text representation of the notebook, so I had assumed that it needed the backend to run.
However, I was about to press submit on the question when I checked back in on it, and the notebook showed up just fine. So one solution is to open it in VS Code and wait a little bit.
So I've been using Jupyter notebooks for a couple of months now. One issue that I face during debugging my programs is when I accidentally execute cells out of order.
Is there a way to force Jupyter to invalidate the state created by the cells that follow the most recently ran cell? Eg. My notebook has 10 cells and I ran cell 3 after some modifications. I would like Jupyter to delete all the variables and results created after the most recent run of cell 3.
Is there a way to do this?
I am newbie to python and searched for 2 days to get solution but could not get find any solution. Please help me.
I have two python(newkmeans.py,newbisecting.py) files and one ipython jupyter notebook. I am running newbiecting.py from ipython notebook by calling it as %newbisecting.py which in turn calls newkmeans.py file. Now newkmeans.py file generates few set of variables like for example list values list1. I want to access this list1[] in ipython jupyter notebook. How can I do this? Please help me out.
I have tried using from newkmeans import list1 in ipython juypter notebook but could not get any results.