A frictionless data package implementation for energy system data.
Project description
A frictionless data package implementation for energy data; maintained by the SENTINEL collaboration.
This package provides a Python API and CLI utilities to read/write and manage Energy (systems) data as a frictionless data package. The Python API includes easy conversion to and from standard Python data structures common in data analysis; e.g. pandas.DataFrame, xarray.DataArray, xarray.Dataset, etc.
It introduces energy modelling terminology by relying on an external (but loosely coupled) registry that collates commonly used variables and associated metadata. If someone outside of the energy modelling community wants to make use this package, it should be relatively striaghtforward to point to a different registry while continuing to use the same workflow. Read more in the documentation.
Installation
You can install (or update) the package with pip:
$ pip install [-U] friendly-data
As the registry is loosely decoupled, it can be updated much faster to accomodate changing needs of the community and reach a consensus much faster. So to update to the latest registry, you can do:
$ pip install -U friendly-data-registry
If you also want to convert data packages into IAMC format, you need the optional dependencies; which can be installed like this:
$ pip install [-U] friendly-data[extras]
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