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Copyright (c) 2019, Chris Mutel All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

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  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

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Description: # beebee

Process BONSAI data sources for use in Brightway2 calculations.

Takes JSON-LD data following the [BONSAI ontology](https://github.com/BONSAMURAIS/ontology), and turns it into a Numpy [.npy](https://www.numpy.org/neps/nep-0001-npy-format.html) files that can be used directly by [Brightway2](https://brightwaylca.org/).

Can also take electricity data from the [bentso library](https://github.com/BONSAMURAIS/bentso) (which itself wraps [entsoe-py](https://github.com/EnergieID/entsoe-py) which wraps the [ENTSO-E API](https://transparency.entsoe.eu/content/static_content/Static%20content/web%20api/Guide.html))

## Installation

beebee requires the following:

  • arborist

  • bentso

  • docopt

  • numpy

## Contributing

Please feel free to either file an issues or submit a pull request!

Platform: UNKNOWN Classifier: Intended Audience :: End Users/Desktop Classifier: Intended Audience :: Developers Classifier: Intended Audience :: Science/Research Classifier: License :: OSI Approved :: BSD License Classifier: Operating System :: MacOS :: MacOS X Classifier: Operating System :: Microsoft :: Windows Classifier: Operating System :: POSIX Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.5 Classifier: Programming Language :: Python :: 3.6 Classifier: Programming Language :: Python :: 3.7 Classifier: Topic :: Scientific/Engineering :: Information Analysis Classifier: Topic :: Scientific/Engineering :: Mathematics Classifier: Topic :: Scientific/Engineering :: Visualization

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