If I were to get a large output in a locally hosted Jupyter notebook, I could simply click the sidebar of the given cell, which would put the output in a shorter, scrolling window. I'd like the same or similar functionality in vscode. I've only found the option to use the Jupyter shortcut 'o', but that hides the output and doesnt even leave a marker to show the cell has a hidden output (which I think could become really frustrating). I haven't been able to find any other extensions/packages, probably because the Python extension in vscode supports Jupyter. Any ideas?
vscode version 1.14.2
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I'm trying to activate the debugging functions that are now available on VSCode for Jupyter Notebooks but I'm having some problems with that.
In my interface I can see the button to 'Run by Line' next to every cell but when I click it nothing happens except the normal execution of the entire cell, but that mode is supposed to execute your cell line by line... I've tried putting some breakpoints even I know it is not necessary in that mode but still nothing.
As you can see here the buttons for debugging are shown a few seconds after hitting the 'Run by Line' button but they do nothing.
As a workaround to not being able to use that useful mode, I tried the standard debug mode of VSCode for Jupyter Notebooks which let you go breakpoint to breakpoint on your cell, the problem (I think it is) is that when I use that what VSCode does is open another tab with just the code of the cell I'm debugging in a temporary .py file, which is not the behaviour I would like to have, because I think it should do that on the Notebook tab itself without any new file...
Here I show you a screenshot of the temporary .py that it's created:
That's just the code of my notebook first cell!
Any help with this? I would like to solve both problems or at least one of them.
I've checked the requisites for the debug modes and make sure I fullfill everyone of them but I'm not so used to use the debug functionalities of VSCode so maybe I'm skipping something.
This is a current bug. It was notified to the dev team here:
https://github.com/microsoft/vscode-jupyter/issues/8258
The bug is caused by vscode using a shortened username. In my case GUILLE~1 instead of Guillermo.
The current solution available is to create a new user in your computer with a maximum length of 8 characters.
I am currently writing some Python code in a Jupyter notebook and I wonder if there is any possibility to track the execution of statements directly in Jupyter? I know there is this module called "trace": https://docs.python.org/3/library/trace.html#trace.Trace.results But it seems to me that with "trace" it is only possible to show the flow of execution in the console or to export it to a new file. However, I would like to display it directly in Jupyter Notebooks. Is this possible - with or without the mentioned module - and if yes how?
Thanks for your help.
For something along the lines of debugging code, you may be interested in the cell magic %%debug, discussed here to open a debugger in the notebook and use pdb commands. Or PixieDebugger if you need something fancier.
You may also be interested in the variable inspector extension for JupyterLab. There is (old) an animated example of using it here. You can easily try it out by clicking on launch binder badge there and starting a notebook. Then right-click in the open notebook and select Open Variable Inspector from the list. The animation will show you how to drag the tabs to arrange them side by side on your screen. Now as you run code, you'll see the variables updated.
In R Studio, Matlab, and in some Python IDEs (like Thonny) you can see a list of the variables in your environment, together with some summary information like values, type etc.
Is there a way to do this in VSCode without going into debugging mode?
Seems like the closest as it gets to the RStudio Environment window is by installing Jupyter. Then you can type #%% in your .py file and a small "Run Cell" button will appear. Running the cell will open the "Python Interactive Window". There you can click the "See Variables Active" button to open up the Variable Window and see your variables... still a bit painful in comparison with RStudio, this should be integrated in VScode's IDE.
See steps here:
https://code.visualstudio.com/docs/python/jupyter-support-py#_variable-explorer-and-data-viewer
VS Code has an IPython mode with a dropdown box called Variables that basically does exactly this.
To enter IPython mode all you need to do is highlight a piece of code and hit Shift+Enter
The first time you do it there might be a bit of setting up to do but it was pretty easy to get it working on my Mac. Not sure what it's like on Windows/Linux though
Note: When I use VS Code I open it from the terminal (simply enter the command 'code') after I've activated my conda environment. That way the IPython interpreter uses my preferred conda environment when it launches.
I am expecting Spyder's Ipython console equivalent in IntelliJ or PyCharm where i can get results of data structures used in the code. When i am doing data analysis, i run a snippet of code in console like dataframe or variable to see its contents. I am expecting a similar window of Spyder in IntelliJ
You can start an Ipython instance by selecting View -> Python Console in the menu.
It is also possible to set a breakpoint somewhere in your code and choose Debug instead of Run. In this case you usually see two tabs once the breakpoint is reached. Debugger shows the stack trace and variable viewer.
Console shows the output of your program. To make it interactive you need to click the (unlabeled) button looking like a command prompt which is selected in the following screenshot from the official documentation.
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If stacktrace, variable explorer or console are missing, you can click the Restore layout button (above the sorting icon in the screenshot). If you want to see console and variable explorer next to one another or in seperate windows you can drag and drop them as you like.
I am trying out IntelliJ. I have installed the Python plugin, and IdeaVim.
I cannot navigate properly across Jupyter Notebook cells using hj. I mean, on normal mode, I cannot go to the next (or previous) cell, even if there is one, using hj.
Is there a way to do it without the mouse, possibly rebindable? I have read the tutorial and tried to find something in the program, but could not.
Ideavim plugin doesn't seem to support Pycharm's notebook implementation as of right now :(
There's an open issue marked as "bug" on Ideavim's issue tracker that was opened back in 2015 and it seems like it doesn't have any progress made since.
However according to the comment in the issue thread you can:
funny way to get into the command mode is type something so that the suggestion panel appears, now press "esc" you will get into Vim command mode
So this might indicate that this could be solved and updated in the future.
As an alternative you can try out jupyter-vim-binding, however it doesn't work with Pycharm either.