I'm using spyder and pycharm for python coding. When I plot something with matplotlib in spyder it shows the result inline in IPython.
With Pycharm IPython plots in a new extra window.
I'm working on Windows7 and with Anaconda Python2.7.
Is it possible to plot in Pycharm inside in the IPython shell?
Not inside the shell; however, you can use an iPython notebook within PyCharm (2016+) for that purpose. PyCharm supports iPython plots when defined within a .ipynb (iPython/Jupyter file format) script.
Here is an example:
Open, or create (as shown) a .ipynb script:
An here is what you get if you code inside a freshly made .ipynb file within PyCharm 2016 or later. Notice the %matplotlib inline, which comes after matplotlib.pyplot import.
PyCharm 2019.1+
In this version of PyCharm several great features to integrate Jupyter Notebooks and PyCharm were added.
First, create a new Jupyter Notebook or open up an existing one.
Second, you can Insert a new cell or you can work on existing cells.
Third, you can Run or Debug a Cell:
Fourth, if you run the cell, the result will be reflected in the right side of the screen.
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.
Code of .ipynb file:
Python is detected:
The code has color in jupyter notebook:
I tried setting up a jupyter notebook in vs code in an anaconda environment. I have tried - Python: Select interpreter and selected my anaconda environment. Made sure python is in the environment: python --version: Python 3.8.8. Tried clicking on CVE(in the bottom right corner) to change to python (picture 2). The colorization of the code works fine in the interactive window of jupyter notebook (picture 3).
Jupyter extension detects your code as CVE instead of Python so Python syntax highlighting is not applied successfully.
Refer to Jupyter in vscode can't execute syntax highlighting, the Dependency Analytics extension should be the reason. Remove or Disable it then reload window, the question should go away.
Disable VS Code's extension "Dependency Analytics" to solve the missing Syntax Highlighting within Jupyter notebook files.
Disable "Dependency Analytics1
I had the same issue, and when I reloaded one of my extensions (it was Azure Functions in my case) everything was coloured as normal again. Weird...
I'm trying to move my data science Environment to VSCODE, it seems a really powerfull IDE to deal with multiple languages and with great versatility,
But currently I'm dealing with an annoying issue with the python and jupyter extension,
Expected behaviour
Using command palette 'Jupyter: Create blank new Jupyter notebook' it should open a .ipynb file with all the features of a jupyter notebook.
(source: https://code.visualstudio.com/docs/datascience/jupyter-notebooks)
Actual behaviour
Using command palette 'Jupyter: Create new blank notebook' it opens a jupyter notebook with all the features and the proper jupyter notebook layout, but with extension .txt.
I tried to save it as .ipynb but returns and error and don't let me save it.
When I create a file manually with 'filename.ipynb' it creates a file with the jupyter icon, but without all the features of a jupyter notebook.. it is a simple plain script file like a .py file.
I already have done a lot of web search looking for some solution, but without success.
already tried reinstall vscode and downgrade some versions of the python and jupyter extensions, but all without success.
Any help to solve this would be appreciated.
Environment data
VS Code version: 1.59.0
Extension version : Python v2021.8.1105858891, Jupyter v2021.8.1195043623
OS and version: Windows 10 64bit
Python version : Python 3.9.6 64bit
My motivation here is to develop new functions that should live in external modules, and I'd like to use a jupyter notebook for interactive development.
Is there a way to set a breakpoint or similar in an external .py file that will let me export the current namespace right back to the jupyter notebook, so code in another cell can run within the scope of the breakpoint?
I've tried using pdb etc. but I want something more along the lines of code.interact(), but that lets me then use the full features of a jupyter notebook.
On Ubuntu x64, I just freshly installed Anaconda 3.
I then installed altair via conda per these directions. Then I run the example code:
from altair import *
population = load_dataset('population')
Chart(population).mark_bar().encode(
x='sum(people)',
).transform_data(filter="datum.year==2000")
The code runs, but nothing happens. I expected a page would open in the browser perhaps, like bokeh does. To be safe, I also ran jupyter notebook in the background and re-running the code - no difference.
Please let me know if there's more information you need about my environment.
Thanks to #cel, I found out the code cannot be run in the iPython console from Anaconda - it needs to be run from a Jupyter notebook.
You have to run jupyter notebook in the terminal, then create a new iPython Notebook. Once the notebook is created, you can run your code interactively from the notebook.