WIDGET ON JUPYTER LAB - widget

I am trying to get a variable inspector widget to work on JUPYTER LAB, following, among others, the comments in this discussion:
Variable Explorer in Jupyter Notebook
I understand it works for JUPYTER NOTEBOOK (and I have been able to do that), but is there any way for this to be done in the JUPYTER LAB?
Thanks.

If you use Jupyter Notebooks within Jupyter Lab there has been a lot of discussion about implementing a variable explorer/inspector. You can follow the issue here
As of right now there is one Jupyter Lab extension in the works that implements a Spyder-like variable explorer. You can find the lab extension (with installation instructions) here: https://github.com/lckr/jupyterlab-variableInspector

Related

PlotlyJS.jl "savehtml" not defined

I need to share an interactive plot made using the PlotlyJS package in Julia. According to the documentation of the package PlotlyJS.jl, I need to use the "savehtml" function and set "js" argument to ":embed" in order to view it offline (screenshot attached). However, I got an error "UndefVarError: savehtml not defined". Can anyone tell me what may cause this problem?
FYI, the "savefig" function can save the plot into an HTML but the HTML cannot be viewed on other machines.
It is also acceptable if there is another way to save an HTML plot that can be assessed from other machines. The interactive plot is generated by PlotlyJS.jl.
Thanks very much in advance.
This creates a standalone file that can be used on other machines.
However, those other machines need to have access to the internet:
p = PlotlyJS.Plot(sin.(1:0.1:10))
open("f.html","w") do f
PlotlyJS.PlotlyBase.to_html(f, p; include_plotlyjs="cdn", full_html=true)
end
I just checked that this is as far as you can do as of today (version v0.8.18) as there is a bug in the source code of PlotlyBase.

How to configure JupyterLab to look the same when opened?

I'm developing a small application using JupyterLab that I will distribute around the world. I would like to configure JupyterLab so that when my users download my code, move into the directory, and execute jupyter-lab, they will always start with the same view.
For example, I want JupyterLab to open up with the README.md file shown rendered as markdown. I don't want Python or Jupyter Notebook files opened (initially).
Is there a way to configure JupyterLab in this way?*
You can use jupyterlab-workspace.json file to specify layout. Here are some examples:
Dask: jupyterlab-workspace.json binder
Pangeo: jupyterlab-workspace.json binder
Ian's demo (possibly outdated)
They work by executing the following command before starting up JupyterLab:
jupyter lab workspaces import jupyterlab-workspace.json
Do NOT try to create the JSON file manually (do not use them as a reference). Instead create a new workspace, arrange tabs/files as you wish and then use:
jupyter lab workspaces export workspace_name > jupyterlab-workspace.json
See the workspaces documentation for more details. There is also a relevant topic on discourse.
For your particular use case I would just create a file with a script that your users would use instead of executing jupyter-lab, e.g. a simple two-liner like:
jupyter-lab workspaces import jupyterlab-workspace.json
jupyter-lab
But if you just want one single file to be shown you may as well just create a wrapper that asks for that file to be opened like:
jupyter-lab README.md
Please note that there was a bug that meant that above did not work some time ago (it is working well if you have the latest versions of jupyterlab-server, jupyter-server, jupyterlab; while updating remember to update nbclassic - if installed - as well).

Python pygame lastest versions: Visual Studio Code shows missing module [duplicate]

I am using the following setup
macOS v10.14 (Mojave)
Python 3.7.1
Visual Studio Code 1.30
Pylint 2.2.2
Django 2.1.4
I want to use linting to make my life a bit easier in Visual Studio Code. However, for every import I have states "unresolved import". Even on default Django imports (i.e. from django.db import models).
I presume it is because it is not seeing the virtual environment Python files.
Everything works just fine, but it's starting to get annoying.
The interpreter choices I have are all system versions of Python. It does not seem to see my virtual environment Python at all (it is not in the same directory as my workspace, so that part makes sense).
If I set up the python.PythonPath in the settings.json file, it just ignores it and does not list my virtual environment path as an option. I also tried setting it up in my global Python settings, but it also does not show up.
Is there a quick fix to get it working?
The accepted answer won't fix the error when importing own modules.
Use the following setting in your workspace settings .vscode/settings.json:
"python.autoComplete.extraPaths": ["./path-to-your-code"],
Reference: Troubleshooting, Unresolved import warnings
In your workspace settings, you can set your Python path like this:
{
"python.defaultInterpreterPath": "/path/to/your/venv/bin/python",
}
Alternative way: use the command interface!
Cmd/Ctrl + Shift + P → Python: Select Interpreter → choose the one with the packages you look for:
This issue has already been opened on GitHub:
Python unresolved import issue #3840
There are two very useful answers, by MagnuesBrzenk and SpenHouet.
The best solution for now is to create a .env file in your project root folder. Then add a PYTHONPATH to it like this:
PYTHONPATH=YOUR/MODULES/PATH
And in your settings.json add:
"python.envFile": ".env"
When I do > reload window that fixes it.
Reference: Python unresolved import issue #3840, dkavraal's comment
None of the solutions worked except this one. Replacing "Pylance" or "Microsoft" in the settings.json solved mine.
"python.languageServer": "Jedi"
You need to select the interpreter associated with the virtual environment.
Click here (at the bottom status bar):
And just select the virtual environment you are working with. Done.
Sometimes, even with the interpreter selected, it won't work. Just repeat the process again and it should solve it.
If you have this code in your settings.json file, delete it:
{
"python.jediEnabled": false
}
If you are more visual like myself, you can use the Visual Studio Code configurations in menu File → Preferences → Settings (Ctrl + ,). Go to Extensions → Python.
In the section Analysis: Disabled, add the suppression of the following message: unresolved-import:
I was able to resolved this by enabling jedi in .vscode\settings.json
"python.jediEnabled": true
Reference from https://github.com/Microsoft/vscode-python/issues/3840#issuecomment-456017675
I wonder how many solutions this problem have (or have not), I tried most of the above, nothing worked, the only solution that worked is to set the python language server to Jedi, instead of Microsoft in the settings.json file:
"python.languageServer": "Jedi"
None of the previous answers worked for me. Adding both of the lines below to my settings.json file did, however.
"python.analysis.disabled": [
"unresolved-import"
],
"python.linting.pylintArgs": ["--load-plugin","pylint_protobuf"]
The first line really just hides the linting error. Certainly not a permanent solution, but de-clutters the screen.
This answer gave me the second line: VS Code PyLint Error E0602 (undefined variable) with ProtoBuf compiled Python Structure
Maybe someone who understands Python more than me can explain that one more.
Okay, so 2 years down the line, I have ran into this annoying problem. All I can seen here are some really complicated workarounds. Here are easy to follow steps for anyone else who might just run into this later on:
at the bottom of VS Code where you see the Python version listed, just click there
Select Interpreter windows is going to appear
click on the first option that says "Select Interpreter Path" and navigate to the folder path which has your Virtual Environment
That's all you need to do and avoid tampering with those settings in VS Code which might get very complicated if not handled with caution.
My solution
This solution is only for the current project.
In the project root, create folder .vscode
Then create the file .vscode/settings.json
In the file setting.json, add the line (this is for Python 3)
{
"python.pythonPath": "/usr/local/bin/python3",
}
This is the example for Python 2
{
"python.pythonPath": "/usr/local/bin/python",
}
If you don't know where your Python installation is located, just run the command which python or which python3 on the terminal. It will print the Python location.
This example works for dockerized Python - Django.
I was facing the same problem while importing the project-related(non standard) modules.
Detailed explanation of the problem
Directory structure:
Project_dir:
.vscode/settings.json
dir_1
> a
> b
> c
dir_2
> x
> y
> z
What we want:
Project_dir
dir_3
import a
import y
Here "import a" and "import y" fails with following error:
Import "dir_1.a" could not be resolvedPylancereportMissingImports
Import "dir_2.y" could not be resolvedPylancereportMissingImports
What worked for me:
Appending the top directory which contains the modules to be imported.
In above example add the follwoing "Code to append" in ".vscode/settings.json"
Filename:
.vscode/settings.json
Code to append:
"python.analysis.extraPaths": [dir_1, dir_2]
The solution from Shinebayar G worked, but this other one is a little bit more elegant:
Copied from Python unresolved import issue #3840:
Given the following example project structure:
workspaceRootFolder
.vscode
... other folders
codeFolder
What I did to resolve this issue:
Go into the workspace folder (here workspaceRootFolder) and create a .env file
In this empty .env file, add the line PYTHONPATH=codeFolder (replace codeFolder with your folder name)
Add "python.envFile": "${workspaceFolder}/.env" to the settings.json
Restart Visual Studio Code
To me the problem was related with the project that I was working on. It took me a while to figure it out, so I hope this helps:
Original folder structure:
root/
__init__.py # Empty
folder/
__init__.py # Empty
sub_folder_b/
my_code.py
sub_folder_c/
another_code.py
In another_code.py:
from folder.sub_folder_b import my_code.py
This didn't trigger the intellisense in Visual Studio Code, but it did execute OK.
On the other hand, adding "root" on the import path, did make the intellisense work, but raised ModuleNotFoundError when executing:
from root.folder.sub_folder_b import my_code.py
The solution was to remove the _init_.py file inside the "folder" directory, leaving only the _init_.py located at /root.
This works for me:
Open the command palette (Ctrl + Shift + P) and choose "Python: Select Interpreter".
Doing this, you set the Python interpreter in Visual Studio Code.
None of the answers here solved this error for me. Code would run, but I could not jump directly to function definitions. It was only for certain local packages. For one thing, python.jediEnabled is no longer a valid option. I did two things, but I am not sure the first was necessary:
Download Pylance extension, change python.languageServer to "Pylance"
Add "python.analysis.extraPaths": [ "path_to/src_file" ]
Apparently the root and src will be checked for local packages, but others must be added here.
I am using the following setup: (in Apr 2021)
macos big sur
vscode
Anaconda 3 (for environment)
And I faced this error during starting of the Django.
So, I follow these steps and this error is resolved.
Steps are given in these screenshots:
Open settings (workspace)
Follow this screenshot to open Python Path
Now, click Edit in settings.json
Make path like given in this screenshot /opt/anaconda3/bin/python
5. Now, save this settings.json file.
6. Restart the vscode
Also, intellisense might not work for some time hold on wait for some time and then restart again then vscode reads file for new path.
That happens because Visual Studio Code considers your current folder as the main folder, instead of considering the actual main folder.
The quick way to fix is it provide the interpreter path to the main folder.
Press Command + Shift + P (or Ctrl + Shift + P on most other systems).
Type Python interpreter
Select the path where you installed Python in from the options available.
Changing
Python:Language Server
to 'Jedi' worked for me.
It was 'Windows' initially.
For me, it worked, if I setup the paths for python, pylint and autopep8 to the local environment paths.
For your workspace add/change this:
"python.pythonPath": "...\\your_path\\.venv\\Scripts\\python.exe",
"python.linting.pylintPath": "...\\your_path\\.venv\\Scripts\\pylint.exe",
"python.formatting.autopep8Path": "...\\your_path\\.venv\\Scripts\\autopep8.exe",
Save and restart VS Code with workspace.
Done!
I have a different solution: my Visual Studio Code instance had picked up the virtualenv stored in .venv, but it was using the wrong Python binary. It was using .venv/bin/python3.7; using the switcher in the blue status bar.
I changed it to use .venv/bin/python and all of my imports were resolved correctly.
I don't know what Visual Studio Code is doing behind the scenes when I do this, nor do I understand why this was causing my problem, but for me this was a slightly simpler solution than editing my workspace settings.
In case of a Pylint error, install the following
pipenv install pylint-django
Then create a file, .pylintrc, in the root folder and write the following
load-plugins=pylint-django
I have faced this problem in three ways. Although for each of them a solution is available in the answers to this question, I just thought to put it all together.
First I got an "Unresolved Import" while importing some modules and I noticed that my installations were happening in global pip instead of the virtual environment.
This issue was because of the Python interpreter. You need to select the interpreter in Visual Studio Code using Shift + Ctrl + P and then type Select Python Interpreter. Select your venv interpreter here.
The second issue was: The above change did not resolve my issue completely. This time it was because of file settings.json. If you don't have the settings.json file in your project directory, create one and add the following line in that:
{
"python.pythonPath": "apis/bin/python"
}
This will basically tell Visual Studio Code to use the Python interpreter that is in your venv.
The third issue was while importing a custom Python module or file in another program. For this you need to understand the folder structure. As Python in venv is inside bin, you'll need to specify the folder of your module (most of the time the application folder). In my case it was app,
from app.models import setup_db
Verbally, import setup_db from models.py resides in the app folder.
If you are using pipenv then you need to specify the path to your virtual environment.in settings.json file.
For example :
{
"python.pythonPath":
"/Users/username/.local/share/virtualenvs/Your-Virual-Env/bin/python"
}
This can help.
If someone happens to be as moronic as me, the following worked.
Old folder structure:
awesome_code.py
__init__.py
src/
__init__.py
stuff1.py
stuff2.py
New structure:
awesome_code.py
src/
__init__.py
stuff1.py
stuff2.py
How to avoid warning
Please note that this is just skipping the warning not resolving it.
First of all open visual studio code settings in json and add following arguments after "[python]":{}
"python.linting.pylintArgs": ["--rep[![enter image description here][1]][1]orts", "12", "--disable", "I0011"],
"python.linting.flake8Args": ["--ignore=E24,W504", "--verbose"]
"python.linting.pydocstyleArgs": ["--ignore=D400", "--ignore=D4"]
This has helped me to avoid pylint warnings in VSCode.
I have resolved import error by Ctrl + Shift + P.
Type "Preferences settings" and select the option Preferences Open Settings (JSON)
And add the line "python.pythonPath": "/usr/bin/"
So the JSON content should look like:
{
"python.pythonPath": "/usr/bin/"
}
Keep other configuration lines if they are present.
This should import all modules that you have installed using PIP for autocomplete.

Using vega-lite and vega3 in Google Colaboratory

I follow the instruction to install the module here.
It seems to install fine. No errors.
But when I follow the example notebook. Nothing is displayed.
Can vega-lite be use with Colab? Or did I make a mistake somewhere?
Update:
Thanks to blois, I create an example of interactive visualization in only a few lines. See this notebook.
Vega requires the same initialization that Altair uses, see the Altair example in the charts sample notebook:
https://colab.research.google.com/notebook#fileId=/v2/external/notebooks/charts.ipynb&scrollTo=beTgCbVa_wFA
A complete repro of the example notebook:
https://colab.research.google.com/notebook#fileId=1UHVm-vm5VXgOmT10t0eIYDa8_XPkvqui

Octave syntax highlighting in Jupyter notebook

I'm running the octave kernel in Jupyter, but I'm not getting syntax highlighting in the code cells. I've installed Jupyter et. al. through Anaconda. I can't remember how I got the octave kernel installed, but probably from here:
https://github.com/calysto/octave_kernel
Do I need to do something in the kernel spec to flip on CodeMirror support?
Edit: turns out the syntax highlighting appeared after refreshing the notebook page, even without the config entry.
Leaving the answer in case it helps with other issues that people might be facing.
I managed to get syntax highlighting working for Octave by following the instructions here:
Configuring the notebook frontend
configuring the CodeMirror mode to Octave: "mode": "octave"
TL;DR
Put the following code snippet in ~/.jupyter/nbconfig/notebook.json. (If the file/directory structure is not present then create as required).
{
"CodeCell": {
"cm_config": {
"mode": "octave"
}
}
}
Caveats
I haven't tested this fully, but it seems the syntax highlighting will persist even for other languages, e.g. Python. This means that the config file might need to be disabled/deleted when using Jupyter for non-Octave notebooks.
Also, I noticed the syntax highlighting doesn't immediately show up on first load of the notebook. I had to refresh the page before it appeared.