tsdat 0.2.4

A data processing framework used to convert time series data into standardized format.

Time Series Data Library

This library provides general utility methods for working with time series datasets, which are stored as Xarray Dataset objects. In particular, it will provide declarative methods for being able standardize, apply Q/C checks, correct, and transform datastreams as a whole, reducing the amount of coding required for data processing. test

Getting Started

Installation

You can install tsdat and its dependencies using pip

pip install tsdat

Documentation

For help using tsdat, please see our documentation at https://tsdat.readthedocs.io/

Docker

Please see https://hub.docker.com/orgs/tsdat for the list of available tsdat docker images.

Installation from Source

If you will be developing/contributing to the tsdat code base, first clone the repository from

git clone https://github.com/tsdat/tsdat.git

You can install the tsdat requirements via:

pip install -r requirements.txt

Releasing to pypi

TODO: to be replaced by CICD build instead of manual process.

Prereq: Make sure that you have twine installed

pip install twine

1) Update the version numbers

1. setup.py
2. docker/docker-compose.yml
3. docker/build.sh

Then commit tsdat with the new build numbers.

2) Then deploy the new release.

cd tsdat
python setup.py sdist bdist_wheel
twine upload dist/*