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Lagmatrix. Create array with time-lagged copies of the features

Project description

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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 (5.4 kB view hashes)

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