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?
Related
My code connects with a database and sometimes the database disconnects on me. As result the script ends. I would like to be able to add a line of code that would allow me to restart and run all the cells in Jupyter notebook.
Input:
if condition ==True:
#Kernel restart and run all jupyter cells
I understand there is already a question that may seem similar but it is not. It only creates a button that you can click to restart and run all the cell
How to code "Restart Kernel and Run all" in button for Python Jupyter Notebook?
Thank you
Would a keyboard shortcut suffice?
For JupyterLab users and those using the document-centric notebook experience in the future, see How to save a lot of time by have a short cut to Restart Kernel and Run All Cells?.
For those still using the classic notebook (version 6 and earlier) interface to run Jupyter notebooks:
A lot of the classic notebook 'tricks' will cease to work with version 7 of the document-centric notebook experience (what most people not consider the 'classic notebook interface') that is on the horizon. The version 7 and forward will use tech that is currently underlying JupyterLab, see Build Jupyter Notebook v7 off of JupyterLab components. And so moving towards JupyterLab now will help you in the long run.
I'm using Jupyter notebook to write my code, but I'm facing a problem
that each time I open the notebook I find that all the cells are run.
This causes problems when I want to add some new cells in between.
So I am obliged to rerun the code from the beginning to get the right results.
Is there a way I can start from where I stopped running to save time? Especially since my code takes around 4 hours to run.
Don't shut down the computer that runs the notebook ex.: in windows
"Lock" option
Run the notebook in cloud (AWS, Azure, Google Cloud, Free option Google Colab runs for a while) where you don't need to shut
down the computer
Save down calculated results to files like.:
txt, csv
Save down models with pickle
It is also possible that you leave the computer stays on but the notebook gets disconnected from the environment in this case just pick your already running environment reconnect and it will have all your previous runtime results
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.
I am having an issue with displaying dataframe properly in Jupyter Notebook that is integrated into PyCharm.
Here is what I am seeing:
This happens where I run print(df). I know that in Jupyter Notebook you can simply write df and it should output the dataframe..
Ideally, I'd even like for the dataframe to ouput as a table, as I have seen this before in Jupyter.. How can I configure this?