Metadata-Version: 2.1
Name: efts-io
Version: 0.2
Summary: Reading and writing Ensemble Forecast Time Series in netCDF files.
Home-page: https://github.com/csiro-hydroinformatics/efts-python
Author: Jean-Michel Perraud
Author-email: per202@csiro.au
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/csiro-hydroinformatics/efts-python/issues
Project-URL: Source, https://github.com/csiro-hydroinformatics/efts-python
Description: # efts_io documentation
        
        [![license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/csiro-hydroinformatics/efts-python/blob/master/LICENSE.txt) ![status](https://img.shields.io/badge/status-alpha-orange.svg) 
        
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        <!-- ![Reference counted native handles](./img/efts_io-principles.png "Reference counted native handles") -->
        
        Plain text files are not well suited to storing the large volumes of data generated for and by ensemble streamflow forecasts with numerical weather prediction models. netCDF is a binary file format developed primarily for climate, ocean and meteorological data. netCDF has traditionally been used to store time slices of gridded data, rather than complete time series of point data. **efts** is for handling the latter. 
        
        **efts** is designed to handle netCDF data following the [NetCDF for Water Forecasting Conventions v2.0](https://github.com/csiro-hydroinformatics/efts/blob/master/docs/netcdf_for_water_forecasting.md)
        
        ## License
        
        MIT (see [License.txt](https://github.com/csiro-hydroinformatics/efts-python/blob/master/LICENSE.txt))
        
        ## Source code
        
        The code repository is on [GitHub](https://github.com/csiro-hydroinformatics/efts-python).
        
        ## Installation
        
        ```sh
        pip install efts_io
        ```
        
        From source:
        
        ```sh
        pip install -r requirements.txt
        python setup.py install
        ```
        
        ## Sample use
        
        Placeholder
Keywords: earth-sciences hydrology forecast
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Hydrology
Classifier: Topic :: Database
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
