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":
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 am using vscode python and pylance extension. Half a month ago, everything was wonderful, when I typed pandas without importing it, I can press cmd + . to show quick fixes but now I cannot. Besides, pylance says it has an auto import function, however, it only auto imports anything relates to typing package.
Should I modify pylance stubpath because now it is default to typing?
Pylance's "quick fix" and "auto import" functions are available. It displays the modules that have been used by default, especially the files in the current project have used this module.
It is recommended that you disable other unrelated extensions to avoid interference between extensions. In addition, please try to reinstall the extension "Pylance" and reload VSCode.
Reference: Auto-import doesn't work.
Had the same problem and the easy fix is to add:
"python.analysis.stubPath": "",
"python.analysis.indexing": true,
in your settings.json either in workspace or in user settings of VS Code.
More about VS Code settings here: https://code.visualstudio.com/docs/getstarted/settings
I'm running PyCharm on Windows 10, and installed PyTorch following the getting started guide. Where I used Chocolatey and Anaconda to set up everything.
I can run the PyTorch tutorials from inside the PyCharm IDE without any problems. So I feel like I have a proper set up, but there aren't any intellisense documentations for any of the PyTorch APIs.
For example;
import torch
x = torch.randn(128, 20)
If I mouse over randn and press CTRL+Q then PyCharm shows me a popup of the function definition without any documentation.
I'm expecting to see Python comments from the API documentation for that function:
https://pytorch.org/docs/stable/torch.html?highlight=randn#torch.randn
I'm a new beginner with Pytorch and Python, but this is something that I often have access to from inside the IDE with many other languages and libraries. So I feel like this should be possible to get working, but I can't seem to find any instructions on how to fix this.
I was able to get it working by doing the following:
PyStorm 2019.3
Open the settings for external documentation:
File / Settings / Tools / External Documentation
Add the following URL patterns:
Module Name: torch.nn.functional
URL: https://pytorch.org/docs/stable/nn.functional.html#{element.qname}
Module Name: torch
URL: https://pytorch.org/docs/stable/{module.basename}.html#{element.qname}
Seems to work for most APIs but you have to trigger the quick documentation tool window. This won't show docs if you CTRL+CLICK something.
You probably want to get Kite. It has this feature (that I use intensively) called co-pilot where you can get python docs immediately. I don't know if it's Linux/Mac specific but works for any editor, nit just Pycharm.
It's just another solution
PyCharm2022.1.x still cannot display torch(1.10) documentation.
#Reactgular 's answer is helpful. But the url that works for me is different.
Following the steps:
file --settings--tools -- external documentation -- add
Module Name: torch
URL/Path Pattern: https://pytorch.org/docs/stable/generated/{element.qname}.html#{element.qname}
Actually the above steps only let the pycharm show a link. But it is better than nothing. just click the link and a default browser will open the documentation.
You can also specify a customized browser instead of the system default browser: file-- settings-- tools --web browsers and preview
torch quick doc
I was about just to add a comment for Reactgular's solution but it turned out I didn't have enough "reputation" to do it.
For the torch.nn.functional module, I found it is more helpful to do this to jump directly to the detailed documentation for the function you are searching for.
torch.nn.functional
https://pytorch.org/docs/stable/generated/{element.qname}.html#{element.qname}
But of course, this is not a stable page so I guess it may not work later, so be careful about it.
One thing I can't get over - when I use numpy in Visual Studio and I want to declare an array of zeroes, I write:
x = numpy.zeros(n)
and it is correct for the interpreter. BUT THE AUTOCOMPLETION GIVES ME:
X = numpy.zeros_like ...
How can I change it to get actually helpful autocompletion? In C++ I get everything allright, so I guess it's an internal problem in Python case.
Edit: As I see the problem is that numpy.zeros is defined in numeric.py as:
zeros = multiarray.zeros. Apparently this is not enough for IntelliSense (or VisualAssist for this matter), which requires def function to actually see the structure.
You need to install the python 3.5 and download the corresponding wheel for numpy. Then using the command: pip install xxxx(numpy wheel version that you download) to install it. For more the detail information about the installation staff, you can have a look at this.
Then open or create a python application project in VS and set the python 3.5 as the default environment, then I can found the intellisense for numpy.zeros also works fine in .py file like the following screenshot: (python 3.5)
If set the python 2.7 as the default environment, the intellisense just like your description as below:
I'm trying to set up a slightly customised version of Spyder. When Spyder starts, it automatically imports a long list of modules, including things from matplotlib, numpy, scipy etc. Is there a way to add my own modules to that list?
In case it makes a difference, I'm using the Spyder configuration provided by the Python(X,Y) Windows installer.
First you have to create a Python file with the modules you want to import at startup. Suppose you call it my_imports.py and that it has this contents:
import numpy as np
import matplotlib.pyplot as plt
Then you have to go to
Tools > Preferences > IPython Console > Startup > Run a file
select the option
Use the following file
and finally click on the button to the right of text field below that option to select your my_imports.py file.
The startup script for Spyder is in site-packages/spyderlib/scientific_startup.py.
Carlos' answer would also work, but this is what I was looking for.
If Spyder is executed as a python script by python binary, then you should be able to simply edit Spyder python sources and include the modules you need. You should take a look into how is it actually executed upon start.