jupytext | Jupyter Notebooks as Markdown Documents
kandi X-RAY | jupytext Summary
kandi X-RAY | jupytext Summary
Have you always wished Jupyter notebooks were plain text documents? Wished you could edit them in your favorite IDE? And get clear and meaningful diffs when doing version control? Then... Jupytext may well be the tool you're looking for!. Jupytext is a plugin for Jupyter that can save Jupyter notebooks as either.
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Top functions reviewed by kandi - BETA
- Build a Jupyter class
- Convert a Jupytext format to a dictionary
- Return the default formats for the given path
- Convert multiple formats into a list of formats
- Entry point for jupytext
- Check if code cells have changed
- Read text from fp
- Generate a jupytext file
- Load the Jupytext server extension
- Build a FileContentsManager class
- Create a pandas dataframe
- Extract metadata from an option line
- Return cell language
- Find the cell content of the given lines
- Find the end of the cell
- Remove end of cell marker
- Make the performance plot
- Return a text representation of the cell
- Convert cell to text
- Return the text representation of the source code
- Uncomment magic files
- Extract metadata from a single line of text
- Find the start of the end of the cell
- Read text from file
- Convert the cell to text
- Find the start of the end of a markdown line
- Convert the source code to text
jupytext Key Features
jupytext Examples and Code Snippets
name: Docs
on: [push, release]
jobs:
notebooks:
name: "Build the notebooks for the docs"
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
---
Copyright 2021 The JAX Authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
https://www.apache.org/licenses/LICENS
:id: aPUwOm-eCSFD
:tags: [remove-cell]
# Configure ipython to hide long tracebacks.
import sys
ipython = get_ipython()
def minimal_traceback(*args, **kwargs):
etype, value, tb = sys.exc_info()
value.__cause__ = None # suppress chained exceptio
Community Discussions
Trending Discussions on jupytext
QUESTION
When JupyterLab tries to start, in some occasions, the config file may be invalid, and Jupyterlab starts regardless in default port 8888
.
Currently I have a JupyterLab service defined as follows, but I also try to start it manually and got the same results. An example when config file may be invalid is when a library is not available to be imported. I want to prevent Jupyter to start and fail gracefully.
...ANSWER
Answered 2022-Feb-04 at 00:48You can enforce failure on configuration errors by configuring environment variable TRAITLETS_APPLICATION_RAISE_CONFIG_FILE_ERROR
to 1
or true
(see docs); on Linux this can be done by prepending the startup command like so:
QUESTION
My current hook looks like this:
...ANSWER
Answered 2021-Nov-10 at 14:52pre-commit
only operates on checked in files -- since yours are gitignored you'll need to find some other way to synchronize them
one idea is to always_run: true
and pass_filenames: false
and list the notebooks to sync explicitly:
QUESTION
Is is possible to add papermill parameters to a jupyter notebook manually, e.g. in an editor? Is it possible to add papermill parameters to a .py file and have them persist when converted to a .pynb file?
Context:
I am working on running jupyter notebooks in an automated way via Papermill. I would like to add parameters to a notebook manually rather than using jupyter or jupyter lab interfaces. Ideally these parameters could be added to a python script .py file first. Upon converting the .py file to a .ipynb file the parameters would persist.
My desired workflow looks like this:
- Store generic notebook as a < notebook >.py file with parameters in version control repository
- Convert python script < notebook >.py to jupyter notebook < notebook >.ipynb
- Run < notebook >.ipynb via papermill and pass parameters to it
- Use nbconvert to produce output pdf with no code (using exclude_input argument)
Steps 1-3 will be run via a script that can be auotmated. I want to use jupytext to avoid storing the notebooks and all their associated metadata. Currently, the only way I can find to add parameters to a notebook is to add them via jupyter/(lab) interfaces. Then I can run the notebook with papermill. However, this doesn't work with the jupytext conversion.
*Note I would have added the "jupytext" tag to this but it doesn't exist yet and I don't have enough rep to create
EDITgooseberry's answer appears to be the correct one.
However, it doesn't actually appear to be necessary to add a parameters tag to your notebook in order to inject parameters via papermill. While papermill will give a no cell with tag parameters found in notebook
warning it will still inject the parameters. Additionally, your output notebook from papermill will have a new cell:
ANSWER
Answered 2021-Oct-22 at 05:21It depends which of the formats you chose for your .py files, but assuming you've chosen the "percent" format, where each new cell is marked with #%%
, to add tags you write:
QUESTION
I'm trying to install jupyter-book on NixOS. I have this flake:
...ANSWER
Answered 2021-Aug-14 at 21:18It looks like your attrs
derivation wants to uninstall the attrs
library it found via pytest
dependencies.
Maybe you can build it by removing pytest
from your attrs
inputs and disabling checks.
QUESTION
I'm looking for a good way to convert .ipynb to .py files in VSCode. So far I've tried:
- the "Export As" Option built into vscode. Not ideal as it produces the following at the start of the script, as well as "Run Cell", "Run Below", etc. buttons/links:
"To add a new cell, type '# %%' To add a new markdown cell, type '# %% [markdown]' %% from IPython import get_ipython"
nbconvert. I usually insert this as a command in the script itself (https://stackoverflow.com/a/19779226/14198216) so it's automatically converted and saved once run. But this also leaves "Run Cell" etc, as well as execution markings (ex: "In [1]")
jupytext. I also usually insert this as a command. At the start of the .py, it produces:
-- coding: utf-8 -- --- jupyter: jupytext: text_representation:
Is there a nice, minimalist solution that doesn't insert a bunch of gunk (which needs to be manually edited out) in the .py version of my notebooks and can be easily/automatically executed from the notebook itself? This could also be setting tweaks that I'm currently unaware of that can make one of the things I mentioned work better.
Thanks in advance.
...ANSWER
Answered 2020-Nov-20 at 06:03We can add the following settings in "settings.json
", the generated python file will not have "Run Cell", "Run Above", "Debug Cell":
QUESTION
I've got a directory structure to my notebooks:
- main.py
- notebooks/
- notebook.py
- notebook.ipynb
The notebook.py file and notebook.ipynb file are linked with JupyText: we keep the .py file in source control (without outputs or metadata) and we use the .ipynb file as a regular notebook. IntelliJ gives us the opportunity to run cells from both files, but unfortunately, with different working directories. This means that referring to files becomes a real headache because the relative path begins with either ./ or ../
To fix this, I've done a filthy hack: at the root level (next to the main.py) I've defined a project_root.py with the following function:
...ANSWER
Answered 2020-Jul-21 at 07:47Thank you to Sergey K. for his comment, he put me on the right track.
I did mark my project root as a sources folder, but this didn't have the effect of adding that folder to PYTHONPATH, as I'd hoped. I noticed that before doing run ("notebooks/notebook.ipynb")
, my path looked like this: [a, b, c, d, project_root]
. But as soon as I entered the notebook, my path was [project_root/notebooks, a, b, c, d]
, so either it uses a separate path, or it removes the current working directory and adds a new one at the front.
On a limb, I added project_root
to PYTHONPATH programmatically, and it started appearing in my path inside my notebook as well. This fixes my issue.
In summary: in main.py
, run this once (every IDE startup for me, idk why):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install jupytext
pip install jupytext
or conda install jupytext -c conda-forge.
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