Lagmatrix. Create array with time-lagged copies of the features
Project description
lagmat
Lagmatrix. Create array with time-lagged copies of the features
Table of Contents
Installation
The lagmat
git repo is available as PyPi package
pip install lagmat
Usage
import numpy as np
A = (np.random.rand(7,3) * 10 + 10).round(1)
from lagmat import lagmat
B = lagmat(A, lags=[0,1,2]) # 0: copy itself, 1: one time-lag, 2: two time-lags
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 # 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
Debugging
- Notebooks to profile python code are in the profile folder
Support
Please open an issue for support.
Contributing
Please contribute using Github Flow. Create a branch, add commits, and open a pull request.
Project details
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Source Distribution
lagmat-0.2.1.tar.gz
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