Reset ipython kernel
Solution 1
Even though it would be handy if %reset
would clear the namespace and the cache for the imports (as in the notebook) one can explicitly reload a previously imported module using importlib.reload
in python3.4 or imp.reload
in python3.0-3.3 (and if needed reset the kernel in a second step).
Solution 2
I could restart the kernel, but some console sessions take longer to reconnect. Notebook detects kernel restart instantly.
ipykernel.ipkernel.IPythonKernel
class has a do_shutdown
method with restart
parameter which defaults to False
.
Get a reference to ipykernel.kernelapp.IPKernelApp
which has a reference to the kernel and call do_shutdown
of the kernel by passing True
.
import IPython
app = IPython.Application.instance()
app.kernel.do_shutdown(True)
How did I test?
$ #start notebook
$ jupyter notebook
$ #connect to existing kernel
$ jupyter console --existing
Solution 3
If you have installed Spyder with anaconda, then open Spyder window.
Then Consoles (menu bar) -> Restart Consoles.
or you can use CTRL+. which is a shortcut key to restart the console.
Solution 4
I personaly use add these two lines at the top of each ipynb file in JupyterLab:
load_ext autoreload
%autoreload 2
It allows you to update the code in an adjacent xxx.py file, without having to restart the Kernel, which was a huge painpoint for me.
Solution 5
In the qt console you could hit ctrl-
Comments
-
greole almost 4 years
I was wondering if there is a way to restart the ipython kernel without closing it, like the kernel restart function that exists in the notebook. I tried
%reset
but that doesn't seem to clear the imports.