When using autocomplete in Jupyter Notebooks it is super nice that you can use autocomplete out of the box, but the autocomplete makes too many suggestions that are not relevant. E.g. when autocompleting inside a function, then I only want relevant parameters to be autocompleted, not 60 random python values.
People have suggested using %config Completer.use_jedi = True, but that turns everything off and is even worse.
You can try installing nbextension for suggestions in jupyter notebook.
for more info plz Click here
Related
I am looking for a way to programmatically replicate the Run Cell Below functionality VS code.
Previously, I used Jupyter through Conda and used the following code:
import ipywidgets as widgets
from IPython.display import display,Markdown,Javascript,HTML
def run_below(ev):
Javascript('IPython.notebook.execute_cells_below()')
button = widgets.Button(description="Click to run cells below")
button.on_click(run_below)
display(button)
This code worked great, but when I tried to plop it into VSCode, the button just does nothing. I don't understand much about how the VSCode Jupyter backend works, but I'm imagining it has something do do with the IPython.notebook module not working correctly in this IDE (or perhaps the IPython.display.Javascript module?). I really have no real idea though.
Does anyone know how I could do this in VSCode's Jupyter implementation?
I have searched for hours on this topic, but have not been able to find a working solution that works. Please let me know if y'all have any ideas.
Environment Info:
Python Version: 3.9.12
VSCode Version: 1.69.0
Jupyter Extension Version: v2022.6.1001902341
It appears that the ability to access the Kernel in VS code is not possible at this time. See the following GitHub issues to see if this has changed at the time of reading:
Similar question migrated to #6918
Issue #6918 that will resolve problem once closed
Not exactly an answer to detailed question but is an answer to the title of the question "Programmatically execute cell jupyter vscode" since I landed on this page searching for how to do this. The following code supports this task - just make sure to hit save CTRL-S if you make changes to cells that are going to be run by the following function since it reads the current version of file from disk
def execute_cell(filepath,cell_number_range=[0]):
import io
from nbformat import current
with io.open(filepath) as f:
nb = current.read(f, 'json')
ip = get_ipython()
for cell_number in cell_number_range:
cell=nb.worksheets[0].cells[cell_number]
#print (cell)
if cell.cell_type == 'code' : ip.run_cell(cell.input)
also for finding name of current notebook in vscode is easy but not easy in jupyterlab
import os
globals()['__vsc_ipynb_file__'] #full name only in vscode
os.path.basename(globals()['__vsc_ipynb_file__']) #basename only in vscode . globals()['_dh'] #dir in most
I installed anaconda on my linux. I am using Vscode to practicing Deep learning.
I installed python extension on vscode to.
I imported like this :
import matplotlib.pyplot as plt
I am trying to use plt.matshow() but how can I see what are the method arguments by vscode?
Because when I put mouse courser on method, nothing is shown? And none of alt or ctrl works on matshow method !!
There as many ways to see the method signature:
Using the help builtin:
help(class.method)
As soon as you open "(" the signature should appear:
Press Crtl+Space
Please try "Visual Studio Code Insiders", its Jupyter notebook has better "IntelliSense":
In addition, when I use the Python language service "Pylance" in VS Code, there is also "IntelliSense":
This is not a duplicate as suggested. I am not trying to switch backends. I am just trying to use the %matplotlib notebook formulation. Moreover, the solutions suggested in that other question (place the%matplotlib notebook before the the from matplotlib import pylplot as plt OR trying call the magic command twice in a row) do not work for me. The behavior (blank notebook charts) remains.
place the%matplotlib notebook before the the from matplotlib import pylplot as plt OR trying call the magic command twice in a row
When I use %matplotlib inline my charts always show, but they're generally on the small side, and have no ability to zoom/pan.
When I use %matplotlib notebook I get zoomable, pannable charts, but I sometimes encounter problems where the charts display as blank.
Background:
PythonAnywhere notebook 3.6 Python. Using update Google Chrome from Windows 7.
If I reopen my existing notebook, even restart the kernel and re-run all the cells, all my .plot() appear blank. But if I contemporaneously start a brand new 3.6 notebook, %matplotlib notebook plots work fine. Killing all the jupyter-related processes doesn't help either.
This does not always occur. But if one chart appears blank, they all appear blank.
I would like to use the notebook magic, but this problem is pretty profound.
I have found some stability on using %matplotlib notebook, after including plt.close(), before all my plots.
A pretty dirty solution, I know, but it's working. Here Windows 10, Python 3.6.2 and Jupyter 6.03 (updated Jupyter haven't solved the issue).
Hope this helps.
%matplotlib qt will do your job.
To debug in Jupyter notebook, I use:
from IPython.core.debugger import set_trace; set_trace()
However, it only shows a command input box with no support for command history, autocomplete, or color...
I tried other debug options, but they do not work at all, like:
from IPython import embed; embed()
import pdb; pdb.set_trace()
import ipdb; ipdb.set_trace()
import pudb; pudb.set_trace()
Is there a way to have IPython supported debugger in Jupyter notebook?
No, it is not available (yet). It is on the wishlist on the IPython repository. We are a small team, there is a lot of interest but is is a lot of work to implement – not necessarily difficult, but the work need to be done. There is a bit of design to do ahead of time.
Any help on the IPython repository to cleanup issue, review PRs and other task may help the developers to get to it at some point. Feel free to open an issue on the IPython repository if you do not know how to help and need guidance.
I'm trying out Jupyter console for the first time, but can't get the %matplotlib inline magic to work. Below is a screenshot of an example session:
The plot shows in a separate window after I run Line 6, and Line 7 doesn't do anything.
When I run %matplotlib --list, inline is given as one of the options:
Available matplotlib backends: ['osx', 'qt4', 'qt5', 'gtk3', 'notebook', 'wx', 'qt',
'nbagg', 'agg', 'gtk', 'tk', 'ipympl', 'inline']
When I try to use another backend, say qt5, it gives an error message because I don't have any Qt installed.
ImportError: Matplotlib qt-based backends require an external PyQt4, PyQt5, or PySide
package to be installed, but it was not found.
Running %matplotlib?? reads:
If you are using the inline matplotlib backend in the IPython Notebook
you can set which figure formats are enabled using the following::
In [1]: from IPython.display import set_matplotlib_formats
In [2]: set_matplotlib_formats('pdf', 'svg')
The default for inline figures sets `bbox_inches` to 'tight'. This can
cause discrepancies between the displayed image and the identical
image created using `savefig`. This behavior can be disabled using the
`%config` magic::
In [3]: %config InlineBackend.print_figure_kwargs = {'bbox_inches':None}
But I don't know if it's something I can tweak around to solve my issue.
When I try it the magic IPython console, it says inline is an Unknown Backend.
UnknownBackend: No event loop integration for u'inline'. Supported event loops are: qt,
qt4, qt5, gtk, gtk2, gtk3, tk, wx, pyglet, glut, osx
I've also found this issue on github after some googling but I don't even know if it's relevant to my situation (most of their conversation didn't make sense to me lol).
Lastly, I'm not sure if this issue is related at all, but here it is, just in case: when I try to open Vim in Jupyter via the !vim command, it glitches pretty badly, preventing me from even exiting out of Jupyter itself without closing the terminal altogther. Vim works perfectly fine when called inside IPython console, however.
I'm using matplotlib 2.0.0.
If anyone could help me figure this out, that'd be great! Thank you!
You’re running a console which is completely text based and incapable of showing images. Therefore, although inline is available, it's not producing inline output.
I'm not sure why it doesn't throw an error, though, which it does in my case:
You can use %matplotlib inline in a GUI console, like Jupyter QTConsole
or in a jupyter notebook in the browser
%matplotlib without the inline works for me (I'm using osx and IPython 7.0.1)
If you're running an old version of ipython try %pylab inline instead. See notes in this tutorial