flake8-nb 0.2.4

Flake8 based checking for jupyter notebooks

flake8-nb

flake8 checking for jupyter notebooks. Basically this is a hack on the flake8's Application class, which adds parsing and a cell based formatter for *.ipynb files.

Features

• flake8 CLI tests for jupyter notebooks
• Full base functionality of flake8 and its plugins
• Input cell based error formatting
• Report fine tuning with cell-tags (flake8-noqa-tags see usage)

Example

If you had a notebook with name example_notebook.ipynb, where the code cell which was executed as 34th cell (In[34]) had the following code:

bad_formated_dict = {"missing":"space"}

running flake8_nb would result in the following output.

$ flake8_nb example_notebook.ipynb
example_notebook.ipynb#In[34]:1:31: E231 missing whitespace after ':'

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Sebastian Weigand 💻 🤔 🚧 📆 🚇 ⚠️ 📖

Jt Miclat 🐛

Philipp Eisenhauer 🐛

Shoma Okamoto ⚠️

Marco Gorelli 🔧 📖

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

History

0.2.4 (2020-10-04)

• Set max supported version of flake8 to be <3.8.5

0.2.3 (2020-10-02)

• Fixed pre-commit hook file association so it support python and juypter notebooks

0.2.1 (2020-08-11)

• Forced uft8 encoding when reading notebooks, this prevents errors on windows when console codepage is assumed

0.2.0 (2020-07-18)

• Added pre-commit hook (#47)

0.1.8 (2020-06-09)

• Set max supported version of flake8 to be <=3.8.3

0.1.7 (2020-05-25)

• Set max supported version of flake8 to be <=3.8.2

0.1.6 (2020-05-20)

• Set max supported version of flake8 to be <=3.8.1
• Fixed bug with --exclude option

0.1.4 (2020-01-01)

• Set max supported version of flake8 to be <3.8.0, to prevent breaking due to changes of flake8's inner workings.

0.1.3 (2019-11-13)

• Added official Python 3.8 support and tests

0.1.2 (2019-10-29)

• Fixed compatibility with flake8==3.7.9

0.1.1 (2019-10-24)

• Added console-script 'flake8-nb' as an alias for 'flake8_nb'

0.1.0 (2019-10-22)

• First release on PyPI.