The 'find in selection' button is missing from VSCode when working with Jupyter Notebooks. It slows down development so I would like to ask if anybody knows how to activate it?
First image shows the search/replace when in a python file. Second image shows the missing button when in a notebook.
Python file:
Jypyter Notebook:
The .ipynb file is written by a kind of markdown.
The only way is to rightclick the tab and reopen .ipynb by builtin text editor for now.
As Jan 2022, within a cell in a jupyternotebook you can search and replace in selection when pushing F3. As comment before, this function is not available when using Ctrl + H
More info :
How to find and replace text in a single cell when using Jupyter extension inside Visual Studio Code
https://github.com/microsoft/vscode/issues/141493
https://github.com/microsoft/vscode/issues/121218
Related
when using VSCode, I can run python files in cells/parts as if it was Jupyter notebook, without actually having a notebook.
https://code.visualstudio.com/docs/python/jupyter-support-py
It means, you can run a python file, part by part, iteratively, like in Jupyter Notebooks, but in .py file.
it helps me to keep the code organized as a python file. (screenshot attached)
I wonder if the same feature exists in PyCharm. I couldn't find it.
I attach a screenshot of the feature in VsCode when I can run simple python file in interactive mode, part by part.
thanks.
The same feature exists in PyCharm.
Just right-click and select Execute selection in Python Console.
ok, answer found:
Magic Python in PyCharm
PyCharm supports Magic Python cell execution. To use Magic Python, you need to enable Scientific Mode in the View menu. You can then use #%% to indicate the start and end of cells. Individual Cells can be executed in the console by pressing CTRL+Enter.
In PyCharm, right-click on the root directory and select New > Python File. Give your file a meaningful name.
Enter
#%%
print("This is the first cell")
#%%
print("This is not executed when the first cell is run")
Enable Scientific Mode in the View menu.
Run the first cell by placing you mouse in the cell and pressing CTRL+Enter.
Run the second cell by clicking on the Play button (arrow) that appears in the gutter of the editor.
source(and credit to):
https://www.kevinsheppard.com/teaching/python/course/lesson-1/
In the screenshot we see a pretty normal-ish python code cell within the Pycharm notebook viewer The viewer "understands" the notebook: it is bringing up the managed Jupyter server option and knows this is [python] code:
So then where did the syntax highlighting go to? How can it be [re-]enabled ?
#Wayne was headed the right direction: that link he provided Wrong Code Highlighting in Jupyter Notebooks had suggestion to reload the python interpreter.
Well in my case the interpreter is Synapse Pyspark and is grayed out since i'm presently running locally. I need to figure out how to change the interpreter: will update here at that point.
Update I needed to edit the json source of the ipynb file to find and remove the synapse kernel.
In vscode you can use "Jupyter: Create interactive window" to create an interactive window that resembles jupyter notebook. However, in the interactive window I am unable to do a couple of things that I enjoy from jupyter notebook, such as editing a cell or moving the cells around. Is there any way to do these things inside an interactive window, without having to create an .ipynb file?
Not a direct answer but: for editing you can use # %% to create 'cells' directly in the script you are working on. Then you can run the cells in the interactive window, this allows you to edit and re run. Explained in detail in the Jupyter code cells section from the Python Interactive Window Tutorial.
example from the Tutorial
in jupyter
I recently updated it, and there is a problem when Jupyter performs automatic completion.
in editor
As shown in the picture above, there is no problem unless it is Jupyter.
Why does this %%! occur?
Downgrade does not change to normal now.
os: EndeavourOS Linux x86_64 5.13.13-arch1-1
vscode version: 1.60.0
jupyter extension version: 2021.8.2041215044
This happens because the "enter" is being used to accept the suggestions instead of "tab". You can fix this following these steps:
Click in "File" > "Preferences" > "Ctrl[+,]".
Fill the search bar with this text "Accept Suggestion on Enter".
The actual value set in checkbox could be "on" or "smart", switch to "off".
This must resolve your problem.
It's jupyter notebook related, such as # %% to create a new cell.
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.