vscode-jupyter | VS Code Jupyter extension
kandi X-RAY | vscode-jupyter Summary
kandi X-RAY | vscode-jupyter Summary
VS Code Jupyter extension
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of vscode-jupyter
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Trending Discussions on vscode-jupyter
QUESTION
I've recently downloaded VSCode and used it with Python and am having problems with the transparency of Matplotlib plots.
As you can see the, the figure element of the matplot graph is transparent, making the axes difficult to see.
Now when I go to look to other questions along similar lines it seems as though most people have the opposite problem ! For them, the white background appears when they don't want it too i.e the figure isn't being transparent. I tried using the approach outlined here - setting the default matplotlib style to white background - but this did not work.
This was a known problem back in 2019, but all the github threads on the issues declare it resolved. https://github.com/microsoft/vscode-jupyter/issues/2904
I am using the atom theme here (which has a different background colour), but the problem persists even when restarted using the default settings, making me think something else is afoot.
I am on a mac, using a python installation from anaconda.
Thanks!
...ANSWER
Answered 2022-Feb-03 at 16:43I can't explain why vscode is doing this. However, the way I found to fix the issue is by explicitly setting the style context you want matplotlib to use in the plots.
QUESTION
I'm looking to install an older version of the VSCode jupyter extension. (The reason is that I'm using a VSCode build from Code Server which is as of VSCode v1.57.1 - released this summer - and I'd like to install extensions for it). It looks like the Jupyter Extension version 2021.6.9999 is the newest version of the Jupyterhub plugin that supports VSCode version v1.57.1.
However, the marketplace only displays the last 5 extension versions under the "Version History" section of the landing page. These versions listed are all too new.
I'm able to find the source code for Jupyter version 2021.6.9999 on Github, but the vsix binaries are not there. I'm not sure how to compile it; seems like it'd be a pretty involved process.
Is there an archive of the vsix plugin files going back further than just 5 releases? Those versions were available earlier this year, so it seems like there should be a way to access the older vsix extensions somewhere. Any thoughts is much appreciated.
...ANSWER
Answered 2021-Oct-01 at 14:22Marketplace not showing the older versions, but you can download .vsix
files from marketplace anyway.
Copy below link and paste your browser, it will download jupyter
version 2021.6.999662501
, you can download any vsix
binary with this method, just change version name from URL.
QUESTION
github.com/microsoft/vscode-jupyter says that I have to add the following code:
...ANSWER
Answered 2021-Aug-20 at 06:18It seems has been removed:
This is by design. The Native Notebook editor is no longer an experiment. Sorry we didn't tell you.
refer to here
QUESTION
I have just started using Jupyter notebooks in VSCode and have come across a strange issue. I made a folder for keeping my lab programs and there is a file named random.py in the folder. When I try to execute a code cell of my Jupyter notebook which is present in the same folder then I get an error 'Kernel died with exit code 1'. If I delete the contents of the random.py file and just make it an empty file then also the issue persists. The issue is resolved if I remove the file named random.py or change it's name to something else like random1.py.
I have read about 'Kernel died with exit code 1' error here and here.
My Environment data
- VS Code version: 1.59.0
- Jupyter Extension version: v2021.8.1236758218
- Python Extension version: v2021.8.1105858891
- OS: Windows 10
- Python version: 3.8.5 64-bit
- Type of virtual environment used: Global (I am not completely sure but this is the environment based on the vscode docs that I've read on python environments) Here is the image to make this clear - image showing that I don't have any 'base: conda' or something like that
- Jupyter server running: Local
I do not have Anaconda installed on my system. I tried the fixes told in the above links but none of them worked. If I put the Jupyter notebook in any other folder and run the cell code then it runs perfectly fine. I want to know that is it possible for a Jupyter notebook to not run when there's a file named 'random.py' present in the same folder? I have not seen this issue reported anywhere else so I am putting it here so that I can get some help on it.
Here are the screenshots for the proof -
Here is the complete error message -
Kernel died with exit code 1. Traceback (most recent call last): File "C:\Users\HP\AppData\Local\Programs\Python\Python38\lib\runpy.py", line 194, in _run_module_as_main return run_code(code, main_globals, None, File "C:\Users\HP\AppData\Local\Programs\Python\Python38\lib\runpy.py", line 87, in run_code exec(code, run_globals) File "C:\Users\HP\AppData\Local\Programs\Python\Python38\lib\site-packages\ipykernel_launcher.py", line 15, in from ipykernel import kernelapp as app File "C:\Users\HP\AppData\Local\Programs\Python\Python38\lib\site-packages\ipykernel_init.py", line 2, in from .connect import * File "C:\Users\HP\AppData\Local\Programs\Python\Python38\lib\site-packages\ipykernel\connect.py", line 12, in import jupyter_client File "C:\Users\HP\AppData\Local\Programs\Python\Python38\lib\site-packages\jupyter_client_init.py", line 4, in from .connect import * File "C:\Users\HP\AppData\Local\Programs\Python\Python38\lib\site-packages\jupyter_client\connect.py", line 16, in import tempfile File "C:\Users\HP\AppData\Local\Programs\Python\Python38\lib\tempfile.py", line 45, in from random import Random as _Random ImportError: cannot import name 'Random' from 'random' (d:\LABS\AI Lab\lab3\random.py)
...ANSWER
Answered 2021-Aug-19 at 12:26My guess is that you're interfering with python's built in 'random' module and something is accidentally importing your file instead of the proper module. That is why the solution is changing the name of your file.
QUESTION
New vscode user here. Just discovered the python interactive mode in the vscode-jupyter extension and it seems quite powerful.
I was wondering if it is possible to implement a shortcut that will open the data viewer window associated with the dataframe under the cursor?
Here is a quick sketch of what the workflow can look like
- Move the cursor to
df
- Execute the line if
df
is not yet defined - Move the cursor to the interactive python group so as to see
df
in the jupyter: variables tab - Open the data viewer window associated with
df
I am willing to take a shot at implementing this shortcut, but as stated above, I am quite a newbie in vscode. Before getting started I would therefore love to hear from you if it is difficult to implement this shortcut (or even simply feasible)? Are the required functions exposed by the vscode-jupyter API?
Any other pointers that can help me are of course very welcome :)
...ANSWER
Answered 2021-Aug-17 at 11:54Welcome to jupyter extension on vscode community
Go to File -> Preferences -> Keyboard Shortcuts and type this in the search bar:
"jupyter.showDataViewer"
now click on the result and customize your own shortcut for it
QUESTION
I am trying to use the Interactive window of VSCode, but it loads the wrong version of Python. I want it to load the version of the virtual environment (shown bottom left), but it defaults to something else.
I have tried this approach, but I can't simply click the version and change it because it isn't included in the drop down list. I have tried adjusting the settings.json file python.defaultInterpreterPath
but that didn't work (perhaps my syntax is wrong). I have also made sure that jupyter
is installed in the virtual environment.
I always run VSCode in the project folder from the command line using code .
but strangely, something that has worked is running it using code
(without the period). This is not a solution however, because the workspace folder is not updated, meaning that when I change the project I'm working on, VSCode opens in previous workspace.
ANSWER
Answered 2021-Jul-14 at 09:38You can try to delete all the files and folders under this location:
QUESTION
I'd like to be able to remove the line above all of my code cells with the green triangle and the capital M. Having it above each code cell takes up lots of vertical space. I'd also like to be able to have all the blue lines between the gray, like in the visual studio code working with jupyter example
I'm able to navigate to the vscode-jupyter extensions settings panel but couldn't figure out if there was a setting for this.
The main repo is https://github.com/microsoft/vscode-jupyter but I thought I'd start with a post here!
Thanks
...ANSWER
Answered 2021-Jun-02 at 06:31You will be able to hide the cell toolbar in the upcoming native notebooks interface, which you can currently preview by installing the Jupyter extension in VS Code Insiders, using this setting:
QUESTION
I have a few questions regarding tensorflow Datasets.
I've created a tensorflow dataset object in a jupyter notebook, a training data set holding 3.7 million samples and a test set holding close to 1 million samples. Each sample is a time series of 1000 values.
For both the train and test set I did
...ANSWER
Answered 2021-Feb-28 at 19:19The reason you're overloading the memory is that you're fitting all of it in memory when you cache()
and set the shuffle()
buffer to be the entire dataset. If you remove the former and massively decrease the shuffle buffer it should help.
tensorflow/core/framework/cpu_allocator_impl.cc:80] Allocation of 18936000000 exceeds 10% of free system memory.
It's the CPU
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install vscode-jupyter
Step 1. Install VS Code
Step 2 If not working with Python, make sure to have a Jupyter kernelspec that corresponds to the language you would like to use installed on your machine.
Step 3. Install the Jupyter Extension
Step 4. Open or create a notebook file and start coding.
To create a new notebook open the command palette (Windows: Ctrl + Shift + P, macOS: Command + Shift + P) and select the command "Jupyter: Create New Jupyter Notebook". Select your kernel by clicking on the kernel picker in the top right of the notebook or by invoking the "Notebook: Select Notebook Kernel" command. Change the cell language by clicking the language picker or by invoking the "Notebook: Change Cell Language" command.
To create a new notebook open the command palette (Windows: Ctrl + Shift + P, macOS: Command + Shift + P) and select the command "Jupyter: Create New Jupyter Notebook"
Select your kernel by clicking on the kernel picker in the top right of the notebook or by invoking the "Notebook: Select Notebook Kernel" command.
Change the cell language by clicking the language picker or by invoking the "Notebook: Change Cell Language" command.
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