I'm testing codes from Colab, where you can just show the result without using print function, such as:
df.Quantity.dtypes
but in PyCharm, you have to run as the following to show the result:
print(df.Quantity.dtypes)
It's really time consuming if such commands are frequent.
How could I print out without using print functin in PyCharm just as Colab?
Thanks a lot!
You would have to create a Jupyter notebook, but note that this is a Professional feature, which means this won't work in PyCharm Community Edition.
Here's how to do it:
Create a new Python project, specify a virtual environment, and install the jupyter package.
Open or create an .ipynb file.
Add and edit source cells.
Execute any of the code cells to launch the Jupyter server.
More on PyCharms Jupyter features can be found here.
As an alternative, you could you the Python Console. Take a look at this question to learn more.
Related
I'm new to the vscode, so I wonder if it is possible to have an interactive python terminal with the same environment as a Jupyter notebook. The reason I ask this is I'm a Rstudio user, It is good to have a terminal down below and an area showing the variables I have for current space. I know in vscode I can see what variables I have. And I can have a terminal down below as python, but the problem is they don't share the working space, when I run a = 1 in Jupyter notebook, and type print(a) it will show "NameError: name 'a' is not defined." So is there a way to connect the 2 environments (or space)? Thanks!
I think this is what you want: Python Interactive window.
Install Python and Jupyter extension.
Read the docs and you can use right-click to open it.
In my Pycharm projects I use Jupyter to experiment and when something is mature enough I move it to Python files within the project, and make the notebook use it.
From time to time, while running a notebook I change that Python code but am forced to manually restart the server in order to make the notebook use the changed code.
I'd like Pycharm to automatically do it for me.
Is there a way?
I have my pyspark kernel installed using sparkmgic, it is showing in jupyter notebook and worked fine (connected to remote livy service and ran code without any issues). It is also visible when I use jupyter kernelspec list command, but when I tried to use vs code jupyter extension, it is not showing in the kernel list.
What is the reason it could be? how to fix it?
Thanks!
https://github.com/microsoft/vscode-jupyter/issues/8286
Got the answer from the one of code contributors on Github.
Just need to put python full path in the kernel configuration json file.
Everything works fine when I first open vscode and create a new Jupyter notebook
When I save and reopen it, the run button is gone.
I have added "jupyter.experiments.optOutFrom": ["NativeNotebookEditor"] to setting.JSON and still no change
python is installed
Jupyter notebook installed
How can I make it to work?
It looks weird, the appearance of the jupyter notebook in your question is different from mine:
In my memory, it looks like the older version of the jupyter notebook.
Could you provide more info about the jupyter notebook you are using? Like this:
And could you try to reinstall the Jupyter Notebook extension and disable other extensions which may be related to .ipynb file?
Use shift+enter and that should run the cell.
You should open the folder as a workspace and then, the button is shown. If you only open the file the result is that you can read the content, but not run the python code.
To elaborate on Steven-MSFT's answer, I saw that there was a button called "Reload Extension" indicated on this drawing below:
You can access this sidebar by entering cmd + shift + p, and then entering "Extensions: Install Extensions", as seen below:
Once I reloaded my Jupyter extension, all worked fine for me.
I had the same problem today. Uninstall and reinstall of "Jupyter" extension solved it.
I want to use Jupyter Notebooks inside VS Code running within WSL 2. Regular Python works within WSL without a problem, that means the base conda enviroment is connected and I can run .py files. Moreover, I’m able to run the command jupyter notebook which will start the notebook server within WSL exposing the localhost to the Windows system.
However, I want to test the new Jupyter Notebook feature within VS Code, which is not working for me; VS Code shows: Jupyter Server: No Kernel and Python: Not Started (see screenshot below).
My testing machine is:
WSL 2 (using Pengwin distribution) on Windows 20H1 (19041.21)
VS Code 1.41 (having the Python extension installed)
Anaconda
What I did:
Open WSL
Open VS Code in my target directory (code .)
Create a new Notebook file from the command palette Python: Create New Blank Jupyter Notebook
Create dummy print("test")
Run Cell will trigger the warning:
Is there anything I’m missing?
The VS Code insiders actually works out of box with Jupyter notebooks. Just remember to run code-insiders . instead of code ..
Another solution would be, according to this website, start the VS Code in windows, then use WSL 2 as a remote server.
The code installation on wsl2 needs a restart to work properly, I was told by a notification, and in the question's comments you may see people experiencing the same issue(' it's working now. not sure why'). So before looking upon any elaborate solution, just restart code.