This is a template for Python packages with poetry with additional tools for development, such as autoformatting, type checking, and more.
The pytemppack folder contains the python module, and we have some examples.
As best practices are always changing, and people have different experiences, we encourage you to contribute to this project!
- Arranging imports with isort.
- Autoformatting with black.
- Boilerplate README with shields.
- Documentation with Sphinx and Read the Docs.
- Issue and pull request templates.
- Templates for changelog, code of conduct and contribute.
- Testing with pytest and coverage with pytest-cov.
- Security scanning with Bandit.
- Static type-checking with mypy.
Use the package manager pip to install pytemppack from PyPi.
pip install pytemppackFor development install, see contribute.
Transform a np.ndarray into a pd.DataFrame.
from pytemppack import PyPack
from pytemppack.utils import generate_random_array
data = generate_random_array((5, 5))
columns = ['a', 'b', 'c', 'd', 'e']
pypack = PyPack(data)
pypack.transform_results(columns)
pypack.results.head()
a b c d e
0 0.976700 0.118091 0.441006 0.659874 0.060139
1 0.380196 0.241766 0.609871 0.735758 0.683689
2 0.923246 0.318534 0.863621 0.222754 0.671238
3 0.261692 0.964079 0.863758 0.172066 0.611018
4 0.319097 0.263650 0.674881 0.870415 0.060137If you are interested in cross-disciplinary research related to machine learning, you can:
The package and the code is provided "as-is" and there is NO WARRANTY of any kind. Use it only if the content and output files make sense to you.
This repo was a great help for autosummary recurssion to document the API.