datefeatures 0.3.2

Feature engineering sklearn transformer for dates

datefeatures

Table of Contents

• Installation

• Usage

• Commands

• Support

• Contributing

Installation

The datefeatures git repo is available as PyPi package

pip install datefeatures

Usage

Check the examples folder for notebooks.

Commands

Install a virtual environment

python3 -m venv .venv  # see note below
source .venv/bin/activate
pip3 install --upgrade pip
pip3 install -r requirements.txt
pip3 install jupyterlab

(If your git repo is stored in a folder with whitespaces, then don’t use the subfolder .venv. Use an absolute path without whitespaces.)

Python commands

• Jupyter for the examples: jupyter lab

• Check syntax: flake8 --ignore=F401 --exclude=$(grep -v '^#' .gitignore | xargs | sed -e 's/ /,/g')

• Run Unit Tests: python -W ignore -m unittest discover

Publish

pandoc README.md --from markdown --to rst -s -o README.rst
python setup.py sdist
twine upload -r pypi dist/*

Clean up

find . -type f -name "*.pyc" | xargs rm
find . -type d -name "__pycache__" | xargs rm -r
rm -r .pytest_cache
rm -r .venv

Support

Please open an issue for support.

Contributing

Please contribute using Github Flow. Create a branch, add commits, and open a pull request.