.. _Export NeurEco Parametric Frequency Sweep model python:

Export NeurEco Parametric Frequency Sweep model python 
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| By default, NeurEco saves **Parametric Frequency Sweep** models in its binary format .efnn. 
| A NeurEco *neureco_embed_pfs* license allows to export models to the FMU format.  The Functional Mock-up Interface (or FMI) defines a standardized interface to be used in computer simulations to develop complex cyber-physical systems. More details are available at these pages: `<https://fmi-standard.org/>`_, and `<https://en.wikipedia.org/wiki/Functional_Mock-up_Interface>`_ 

**build** a Parametric Frequency Sweep **model** (:std:ref:`Build NeurEco Parametric Frequency Sweep model with the Python API`) or **load** an already saved one.

To export the **model** to the FMU format:

.. code-block:: python

  model.export_fmu(fmu_path)

exports a NeurEco model to FMU (Functional Mock-up Interface).

:fmu_path: string, required, path where to save the fmu file.
:return: int, export_status: 0 if export is successful, other value if not