jupyter-cleaner 0.2.1

Easy git tracking of Jupyter lab files

jupyter-cleaner

jupyter-cleaner makes tracking Jupyter lab files in git easy.

This is done by:

• Removing the output of cells
• Formatting the source of cells (using black)
• Reordering imports in the source of cells (using reorder-python-imports)
• Setting the execution count of cells
• pretty printing the JSON array

It is recommended to run jupyter-cleaner before adding the Jupyter lab files to the stage in git. This allows for easier tracking of differences between commits.

CLI

running jupyter-cleaner -h displays:

usage: jupyter-cleaner [-h] [--exclude_files_or_dirs EXCLUDE_FILES_OR_DIRS [EXCLUDE_FILES_OR_DIRS ...]] [--execution_count EXECUTION_COUNT]
                       [--indent_level INDENT_LEVEL] [--remove_code_output] [--format] [--reorder_imports]
                       files_or_dirs [files_or_dirs ...]

jupyter_cleaner

positional arguments:
  files_or_dirs         Jupyter lab files to format or directories to search for lab files

options:
  -h, --help            show this help message and exit
  --exclude_files_or_dirs EXCLUDE_FILES_OR_DIRS [EXCLUDE_FILES_OR_DIRS ...]
                        Jupyter lab files or directories to exclude from formatting and search
  --execution_count EXECUTION_COUNT
                        Number to set for the execution count of every cell
  --indent_level INDENT_LEVEL
                        Integer greater than zero will pretty-print the JSON array with that indent level. An indent level of 0 or negative will only insert
                        newlines.
  --remove_code_output  Remove output of cell
  --format              Format code of every cell (uses black)
  --reorder_imports     Reorder imports of every cell (uses reorder-python-imports)

pyproject.toml

Inputs to jupyter-cleaner can be supplied via pyproject.toml:

[tool.jupyter_cleaner]
execution_count=0
remove_code_output=true
format=true
reorder_imports=true
indent_level=4