Skip to main content

Run any Python code quality tool on a Jupyter Notebook!

Project description

logo

nbQA

image image image image image image image image image image image All Contributors

demo

Adapter to run any standard code-quality tool on a Jupyter notebook. Documentation is hosted here.

🎉 Installation

Install nbqa with pip:

pip install -U nbqa

🚀 Examples

Reformat your notebook with black:

$ nbqa black my_notebook.ipynb --nbqa-mutate
reformatted my_notebook.ipynb
All done!  🍰 1 files reformatted.

Sort your imports with isort:

$ nbqa isort my_notebook.ipynb --treat-comment-as-code '# %%' --nbqa-mutate
Fixing my_notebook.ipynb

Check your type annotations with mypy:

$ nbqa mypy my_notebook.ipynb --ignore-missing-imports
my_notebook.ipynb:cell_10:5: error: Argument "num1" to "add" has incompatible type "str"; expected "int"

Run your docstring tests with doctest:

$ nbqa doctest my_notebook.ipynb
**********************************************************************
File "my_notebook.ipynb", cell_2:11, in my_notebook.add
Failed example:
    add(2, 2)
Expected:
    4
Got:
    5
**********************************************************************
1 items had failures:
1 of   2 in my_notebook.hello
***Test Failed*** 1 failures.

Check for style guide enforcement with flake8:

$ nbqa flake8 my_notebook.ipynb
my_notebook.ipynb:cell_3:1:1: F401 'import pandas as pd' imported but unused

Upgrade your syntax with pyupgrade:

$ nbqa pyupgrade my_notebook.ipynb --py36-plus --nbqa-mutate
Rewriting my_notebook.ipynb

🔧 Configuration

You can configure nbqa either at the command line, or by using a pyproject.toml file - see configuration for details and examples.

👷 Usage as pre-commit hook

You can easily use nbqa as a pre-commit hook by passing your desired code quality tool in the args and additional_dependencies sections - see usage as pre-commit hook for examples.

💬 Testimonials

Alex Andorra, Data Scientist, ArviZ & PyMC Dev, Host of 'Learning Bayesian Statistics' Podcast 🎙️:

well done on nbqa @MarcoGorelli ! Will be super useful in CI 😉

Girish Pasupathy, Software engineer and now core-contributor:

thanks a lot for your effort to create such a useful tool

👥 Contributing

I will give write-access to anyone who contributes anything useful (e.g. pull request / bug report) - see the contributing guide for details on how to do so.

Thanks goes to these wonderful people (emoji key):


Marco Gorelli

💻 🚧 👀 ⚠️ 🤔

Sebastian Weigand

🔧 👀 📖 🤔

Girish Pasupathy

💻 🚇 🐛 👀 🤔

fcatus

🚇

HD23me

🐛

mani

🤔

This project follows the all-contributors specification. Contributions of any kind welcome!

Project details


Release history Release notifications | RSS feed

This version

0.2.2

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nbqa-0.2.2.tar.gz (25.9 kB view details)

Uploaded Source

Built Distribution

nbqa-0.2.2-py3-none-any.whl (25.6 kB view details)

Uploaded Python 3

File details

Details for the file nbqa-0.2.2.tar.gz.

File metadata

  • Download URL: nbqa-0.2.2.tar.gz
  • Upload date:
  • Size: 25.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.2

File hashes

Hashes for nbqa-0.2.2.tar.gz
Algorithm Hash digest
SHA256 c7cda0848210bc85cab169d94e914da4b009d09224861d354beedc1602fcff88
MD5 6dd6901a8daeec901f93c3703f51441d
BLAKE2b-256 74fbbaea346f99733ed9f54f54451abe8dffa0c200517482b6bbc2a327968ba4

See more details on using hashes here.

Provenance

File details

Details for the file nbqa-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: nbqa-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 25.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.2

File hashes

Hashes for nbqa-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 c62d316095d563d64d0c3e7e752de2b199c7213a54d4a30d5d9c966ed8d4bf82
MD5 e931f7472841aeb4f230408127d508ea
BLAKE2b-256 036e13aa08cafd5fc07015db34aabd8ca4be883f445ee6cc7c496c7c7644982b

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page