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

Project description

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.

Getting Started

Installation

You can install tsdat and its dependencies using pip

pip3 install tsdat

Documentation

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

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:

pip3 install -r requirements.txt

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