The grouplabelencode git repo is available as PyPi package
pip install grouplabelencode
from grouplabelencode import grouplabelencode
data = ['a', 'b', 3, 3, 'b', 'b', 'e', 'z', 'd', 'a', 'unknown'] # raw data
groups = [['a', 'b', 3], ['d', 'e']] # mapping for 2 groups
encoded = grouplabelencode(data, groups, nastate=True)
print(encoded)
# [0, 0, 0, 0, 0, 0, 1, 2, 1, 0, 2] # 2: NA state
Check the examples folder for notebooks.
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 # and other packages required for demo
(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 - Upload to PyPi with twine:
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
- Notebooks to profile python code are in the profile folder
Please open an issue for support.
Please contribute using Github Flow. Create a branch, add commits, and open a pull request.