How to close IPython Notebook properly?
Currently, I just close the browser tabs and then use Ctrl+C
in the terminal.
Unfortunately, neither exit()
nor ticking Kill kernel upon exit
does help (they do kill the kernel they but don't exit the iPython).
This question is related to
python
jupyter-notebook
ipython
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Step 1 - On shell just do control+z (control+c) Step 2 _ close the web browser
Try killing the pythonw process from the Task Manager (if Windows) if nothing else works.
I think accepted answer outdated and is not valid anymore.
You can terminate jupyter notebook from web interface on file menü item.
When you move Mouse cursor on "close and halt", you will see following explanation.
And when you click "close and halt", you will see following message on terminal screen.
These commands worked for me:
jupyter notebook list # shows the running notebooks and their port-numbers
# (for instance: 8080)
lsof -n -i4TCP:[port-number] # shows PID.
kill -9 [PID] # kill the process.
This answer was adapted from here.
Actually, I believe there's a cleaner way than killing the process(es) using kill or task manager.
In the Jupyter Notebook Dashboard (the browser interface you see when you first launch 'jupyter notebook'), browse to the location of notebook files you have closed in the browser, but whose kernels may still be running.
iPython Notebook files appear with a book icon, shown in green if it has a running kernel, or gray if the kernel is not running.
Just select the tick box next to the running file, then click on the Shutdown button that appears above it.
This will properly shut down the kernel associated with that specific notebook.
In the browser session you can also go to Kernel
and then click Restart and Clear Output
.
I am copy pasting from the Jupyter/IPython Notebook Quick Start Guide Documentation, released on Feb 13, 2018. http://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/execute.html
1.3.3 Close a notebook: kernel shut down When a notebook is opened, its “computational engine” (called the kernel) is automatically started. Closing the notebook browser tab, will not shut down the kernel, instead the kernel will keep running until is explicitly shut down. To shut down a kernel, go to the associated notebook and click on menu File -> Close and Halt. Alternatively, the Notebook Dashboard has a tab named Running that shows all the running notebooks (i.e. kernels) and allows shutting them down (by clicking on a Shutdown button).
Summary: First close and halt the notebooks running.
1.3.2 Shut down the Jupyter Notebook App Closing the browser (or the tab) will not close the Jupyter Notebook App. To completely shut it down you need to close the associated terminal. In more detail, the Jupyter Notebook App is a server that appears in your browser at a default address (http://localhost:8888). Closing the browser will not shut down the server. You can reopen the previous address and the Jupyter Notebook App will be redisplayed. You can run many copies of the Jupyter Notebook App and they will show up at a similar address (only the number after “:”, which is the port, will increment for each new copy). Since with a single Jupyter Notebook App you can already open many notebooks, we do not recommend running multiple copies of Jupyter Notebook App.
Summary: Second, quit the terminal from which you fired Jupyter.
First step is to save all open notebooks. And then think about shutting down your running Jupyter Notebook. You can use this simple command:
$ jupyter notebook stop
Shutting down server on port 8888 ...
Which also takes the port number as argument and you can shut down the jupyter notebook gracefully.
For eg:
jupyter notebook stop 8889
Shutting down server on port 8889 ...
Additionally to know your current jupyter instance running, check below command:
shell> jupyter notebook list
Currently running servers:
http://localhost:8888/?token=ef12021898c435f865ec706de98632 :: /Users/username/jupyter-notebooks [/code]
The best way now is to use the "Quit" button that is just to the left of the "Logout" button. I have to admit that I do not understand the utility of the Logout button. However, I am glad that they have added the exceedingly useful Quit button.
If you run jupyter in the background like me:
jupyter notebook &> /dev/null &
Then to exit jupyter completely, instead of Ctl-C, make an alias command:
echo 'alias quitjupyter="kill $(pgrep jupyter)"' >> ~/.bashrc
Restart your terminal. Kill all jupyter instances:
quitjupyter
Note: use double quotes inside of single quotes as shown above. The other way around will evaluate the expression before writing it to your .bashrc (you want to write the command itself not 'kill 1430' or whatever process number may be associated with a current jupyter instance). Of course you can use any alias you wish. I actually use 'qjup':
echo 'alias qjup="kill $(pgrep jupyter)"' >> ~/.bashrc
Restart your terminal. Kill all jupyter instances:
qjup
Environment
My OS is Ubuntu 16.04 and jupyter is 4.3.0.
Method
First, i logged out jupyter at its homepage on browser(the logout button is at top-right)
Second, type in Ctrl + C
in your terminal and it shows:
[I 15:59:48.407 NotebookApp]interrupted Serving notebooks from local directory: /home/Username 0 active kernels
The Jupyter Notebook is running at: http://localhost:8888/?token=a572c743dfb73eee28538f9a181bf4d9ad412b19fbb96c82
Shutdown this notebook server (y/[n])?
Last step, type in y
within 5 sec, and if it shows:
[C 15:59:50.407 NotebookApp] Shutdown confirmed
[I 15:59:50.408 NotebookApp] Shutting down kernels
Congrats! You close your jupyter successfully.
For those of you who work on a remote computer with ssh
, and maintain a Jupyter notebook server inside a tmux
session, then after you exit the Jupyter notebook, you also have to close the pane that was used to maintain your Jupyter notebook server. Otherwise, it could cause issues when you try to log out from the ssh
.
Option 1
Open a different console and run
jupyter notebook stop [PORT]
The default [PORT] is 8888, so, assuming that Jupyter Notebooks is running on port 8888, just run
jupyter notebook stop
If it is on port 9000, then
jupyter notebook stop 9000
Option 2 (Source)
Check runtime folder location
jupyter --paths
Remove all files in the runtime folder
rm -r [RUNTIME FOLDER PATH]/*
Use top
to find any Jupyter Notebook running processes left and if so kill their PID.
top | grep jupyter &
kill [PID]
One can boilt it down to
TARGET_PORT=8888
kill -9 $(lsof -n -i4TCP:$TARGET_PORT | cut -f 2 -d " ")
Note: If one wants to launch one's Notebook on a specific IP/Port
jupyter notebook --ip=[ADD_IP] --port=[ADD_PORT] --allow-root &
Linux (Ubuntu 14.04)
As mentioned, try to kill ipython notebook processes properly by first going to the "running" tab in your ipynb/jupyter browser session, and then check open terminals on your console and shut down with ctrl-c. The latter should be avoided if possible.
If you run an ipython notebook list
and continue to see running ipython servers at different ports, make note of which ports the existing notebooks are being served to. Then shut down your TCP ports:
fuser -k 'port#'/tcp
I'm not sure if there are other risks involved with doing this. If so, let me know.
Source: Stackoverflow.com