test-time-dataframes

Table with features across pandas and pyspark

Note that there are good testing utilities inside of each of these data processing libraries, this is just an extension to make various things easier. Please make full use of these in addition to this library:

• pandas.testing

Development Setup

Create and activate the Conda environment

conda create -n tt-df python=3.11
conda activate tt-df

Install this package in editable mode

python -m pip install -e ".[dev,pandas]"

Install pre-commit hooks

pre-commit install

python -m pytest tests

Releasing

Update the version in pyproject.toml

version='X.Y.Z'

Create a git tag and push

git tag vX.Y.Z
git push --tags

Then create a release via github.

If you mess up and need to edit things

Remove old tag and re-tag

git tag -d vX.Y.Z
git tag vX.Y.Z

git push -f --tags

Delete previous github release and re-create.