Metadata-Version: 2.1
Name: tsdat
Version: 0.2.3
Summary: A data processing framework used to convert time series data into standardized format.
Home-page: https://github.com/tsdat/tsdat
Author: Carina Lansing <carina.lansing@pnnl.gov>, Maxwell Levin <maxwell.levin@pnnl.gov>
Author-email: carina.lansing@pnnl.gov
License: Simplified BSD (2-clause)
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
        
        ```bash
        pip3 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 
        
        ```bash
        git clone https://github.com/tsdat/tsdat.git
        ```
        
        You can install the tsdat  requirements via:
        
        ```bash
        pip3 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
        ```bash
        pip install twine
        ```
        
        ### 1) Update the version number in setup.py
        
        ### 2) Then deploy the new release.
        
        ```bash
        cd tsdat
        python setup.py sdist bdist_wheel
        twine upload dist/*
        ```
        
        ```
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
