imas-python 2.3.0

Pythonic wrappers for the IMAS Access Layer

IMAS-Python

IMAS-Python (formerly known as IMASPy its for versions < 2) is a pure-python library to handle arbitrarily nested data structures. It is designed for, but not necessarily bound to, interacting with Interface Data Structures (IDSs) as defined by the Integrated Modelling & Analysis Suite (IMAS) Data Model.

Install

Simply install IMAS-Python with pip:

pip install imas-python

or with optional dependencies for netCDF and xarray support:

pip install imas-python[netcdf,xarray]

More details are described in the documentation generated from /docs/source/installing.rst. The documentation is autogenerated from the source using Sphinx and can be found at the readthedocs

To generate the documentation yourself, install the docs optional dependencies and do:

make -C docs html

How to use

import imas
factory = imas.IDSFactory()
equilibrium = factory.equilibrium()
print(equilibrium)

equilibrium.ids_properties.homogeneous_time = imas.ids_defs.IDS_TIME_MODE_HOMOGENEOUS
equilibrium.ids_properties.comment = "testing"
equilibrium.time = [0.01]

with imas.DBEntry("imas:hdf5?path=./testdb", "w") as dbentry:
    dbentry.put(equilibrium)
	
# or without imas_core dependency
with imas.DBEntry("./test.nc", "w") as dbentry:
    dbentry.put(equilibrium)

A quick 5 minutes introduction is available in the documentation generated from /docs/sources/intro.rst.

Legal

IMAS-Python is Copyright 2020-2025 ITER Organization, Copyright 2020-2023 Karel Lucas van de Plassche [e-mail], Copyright 2020-2022 Daan van Vugt [e-mail], and Copyright 2020 Dutch Institute for Fundamental Energy Research [e-mail]. It is licensed under LGPL 3.0.

Acknowledgments

Inspired and bootstrapped by existing tools, notably the IMAS Python HLI, IMAS Python workflows, and OMAS.