Skip to main content

Run any Python code quality tool on a Jupyter Notebook!

Project description

https://github.com/nbQA-dev/nbQA/raw/master/assets/logo.png

nbQA

https://github.com/nbQA-dev/nbQA/workflows/tox/badge.svg https://codecov.io/gh/nbQA-dev/nbQA/branch/master/graph/badge.svg https://badge.fury.io/py/nbqa.svg https://readthedocs.org/projects/nbqa/badge/?version=latest&style=plastic https://img.shields.io/pypi/pyversions/nbqa.svg https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white http://www.mypy-lang.org/static/mypy_badge.svg https://interrogate.readthedocs.io/en/latest/_static/interrogate_badge.svg https://img.shields.io/badge/code%20style-black-000000.svg https://img.shields.io/badge/pylint-10/10-brightgreen.svg

Adapter to run any code-quality tool on a Jupyter notebook. This is intended to be run as a pre-commit hook and/or during continuous integration.

Documentation is hosted here.

Installation

Install nbqa with pip:

$ pip install nbqa

Quickstart

The general syntax is

nbqa <command> <notebook or directory> <args>

where command is any standard Python code quality tool.

Examples

Check static type annotations:

$ nbqa mypy tweet-sentiment-roberta-pytorch.ipynb --ignore-missing-imports
tweet-sentiment-roberta-pytorch.ipynb:cell_10:5: error: Argument "batch_size" to "get_test_loader" has incompatible type "str"; expected "int"

Check any examples in your docstrings are correct:

$ nbqa pytest tweet-sentiment-roberta-pytorch.ipynb --doctest-modules
============================= test session starts ==============================
platform linux -- Python 3.8.2, pytest-5.4.3, py-1.9.0, pluggy-0.13.1
rootdir: /home/marco/tweet-sentiment-extraction
plugins: cov-2.10.0
collected 3 items

tweet-sentiment-roberta-pytorch.ipynb .                                  [100%]

============================== 1 passed in 0.03s ===============================

Format your notebooks using black:

$ nbqa black . --line-length=96 --nbqa-mutate
reformatted tweet-sentiment-roberta-pytorch.ipynb
All done!  🍰 
1 files reformatted.

Configuration

You can configure nbQA either at the command line, or by using a .nbqa.ini file. We’ll see some examples below.

Extra flags

If you wish to pass extra flags (e.g. --ignore W503 to flake8) you can either run

nbqa flake8 my_notebook.ipynb --ignore W503

or you can put the following in your .nbqa.ini file

[flake8]
addopts = --ignore W503

Config file

If you already have a config file for your third-party tool (e.g. .mypy.ini for mypy), you can run

nbqa mypy my_notebook.ipynb --nbqa-config .mypy.ini

or you can put the following in your .nbqa.ini file

[mypy]
config = .mypy.ini

Allow mutations

By default, nbQA won’t modify your notebooks. If you wish to let your third-party tool modify your notebooks, you can either pass the --nbqa-mutate flag at the command-line, e.g.

nbqa black my_notebook.ipynb --nbqa-mutate

or you can put the following in your .nbqa.ini file

[black]
mutate = 1

Empty __init__.py files

Some tools, such as mypy, require (possibly empty) __init__.py files to be in each subdirectory you wish to analyse. To make nbQA aware of this, you can either pass the --nbqa-preserve-init flag, e.g.

nbqa mypy my_dir/my_subdir/my_notebook.ipynb --nbqa-preserve-init

or you can put the following in your .nbqa.ini file

[mypy]
preserve_init = 1

Usage as pre-commit hook

If you want to use nbqa with pre-commit, here’s an example of what you could add to your .pre-commit-config.yaml file:

- repo: https://github.com/nbQA-dev/nbQA
  rev: 0.1.18
  hooks:
    - id: nbqa
      args: ['flake8']
      name: nbqa-flake8
      additional_dependencies: ['flake8']
    - id: nbqa
      args: ['isort', '--nbqa-mutate']
      name: nbqa-isort
      additional_dependencies: ['isort']
    - id: nbqa
      args: ['mypy', '--nbqa-preserve-init']
      name: nbqa-mypy
      additional_dependencies: ['mypy']

Supported third party packages

In theory, nbqa can adapt any Python code-quality tool to a Jupyter Notebook.

In practice, here are the tools it’s been tested with:

See Also

Here are some other code quality tools for Jupyter Notebooks:

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

nbqa-0.1.18.tar.gz (19.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nbqa-0.1.18-py3-none-any.whl (18.2 kB view details)

Uploaded Python 3

File details

Details for the file nbqa-0.1.18.tar.gz.

File metadata

  • Download URL: nbqa-0.1.18.tar.gz
  • Upload date:
  • Size: 19.9 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-0.1.18.tar.gz
Algorithm Hash digest
SHA256 2d98504d09cc869bbf72175471b1503dc28dc6351e461d184f1fadd36f0e65d4
MD5 33a54e161bc933f13c571c6eac7aec79
BLAKE2b-256 68694892c8425af1fac7d6aaf379c481a6fb1a99fe7bcee895de5bb138b473b1

See more details on using hashes here.

File details

Details for the file nbqa-0.1.18-py3-none-any.whl.

File metadata

  • Download URL: nbqa-0.1.18-py3-none-any.whl
  • Upload date:
  • Size: 18.2 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-0.1.18-py3-none-any.whl
Algorithm Hash digest
SHA256 d2b23255cefdfe8c727b45336c23b3008e38e053e6734ab45c1b3a85d263222d
MD5 c5ede7399aa5b26a81deadd703d64d35
BLAKE2b-256 3f061e5839581fbee5c1f94c7fa456389d7d4e72041fc32ecbbf53b71e309c38

See more details on using hashes here.

Supported by

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