A Python package to preprocess time series
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docs
tests
tspreprocess
.coveragerc
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LICENSE.txt
README.rst
requirements.txt
setup.cfg
setup.py
test-requirements.txt

README.rst

Disclaimer: This package is WIP. Do not take any APIs for granted.

tspreprocess

Time series can contain noise, may be sampled under a non fitting rate or just need to be compressed. tspreprocess is a library for such preprocessing tasks. It contains tools to transform and clean time series data for better analyses.

In detail, we are planning to add methods to do

  • Denoising
  • Compression
  • Resampling
  • ...

Our goal is to make this the most comprehensive time series preprocessing library.

Installation

Clone the repo, cd into it and install it with pip locally

git clone https://github.com/MaxBenChrist/tspreprocess
cd tspreprocess
pip install -e .

You can run the test suite by

python setup.py test

Relation to tsfresh

This package will based on the data formats from the python feature extraction pacakge tsfresh (https://github.com/blue-yonder/tsfresh), allowing a seamless integration between both packages.