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
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.
As the title says, is there a way to run a Jupyter Notebook cell in the background (in Python)?
For example, is there a hypothetical magic command %%run_in_background that allows me to kick off a cell to execute in the background without blocking other cells from executing.
Technically you can’t do that, each kernel is like an instance of python, you can only run a script at a time.
You could run the cell, then refresh the browser and run the notebook fresh. The previous command will continue running but there is no way of accessing it in the notebook anymore. You won’t get the result you want, the output from the previous run won’t appear in this new instance.
Your best bet is to use 2 different notebooks, or 2 python scripts or use multiprocessing modules.
When I hit execute on a cell, especially when I start pyspark, the jupyter lab outputs the log messages to both my terminal & cell output as shown.
I do not want to see those big long messages to appear on jupyter output cell, when I can just see the same messages in the executing terminal (where I jupyter notebook --no-browser --port=8088 --ip=0.0.0.0.
TMIA,
BTW: I do not get this behavior on my personal machine, just on the EMR. So, this must be some config I missed.
Already tried:
import warnings
warnings.filterwarnings('ignore')
I just started using Python 3 on Jupyter so I'm not really confortable with it. When I open a file with some commands, if I try to run it, the screen will give me back errors saying that the variables are not defined.
If I try to run directly filename.find("2019") it gives an error back. So when I open a file should, as first step, run all the cells?
Yes, generally speaking, when you open an existing notebook and want to add some code to it at the end, you should first run all the existing cells. You can do this from the menu: Cell -> Run All. Otherwise you would have no proper way of testing your additional code, since it may depend on changes to the namespace in the preceding code.
If the notebook wasn't active so far in that Jupyter session, there is no need to restart the kernel. Jupyter starts a separate kernel instance for every notebook you open.
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?