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Python reader for data generated by FDS.

Project description

FDSReader

Fast and easy-to-use Python reader for FDS data

Build Status
PyPI version

Installation

The package is available on PyPI and can be installed using pip:

pip install fdsreader

FDS Version 6.7.5 and above are fully supported. Versions below 6.7.5 might work, but are not guaranteed to work.

Usage example

import fdsreader as fds

# Creates an instance of a simulation master-class which manages all data for a given simulation
sim = fds.Simulation("./sample_data")

# Examples of data that can be easily accessed
print(sim.meshes, sim.surfaces, sim.slices, sim.data_3d, sim.isosurfaces, sim.particles, sim.obstructions)

More advanced examples can be found in the respective data type directories inside of the examples directory.

Configuration

The package provides a few configuration options that can be set using the settings module.

fds.settings.KEY = VALUE

# Example
fds.settings.DEBUG = True
KEY VALUE Default Description
LAZY_LOAD boolean True Load all data when initially loading the simulation (False) or only when specific data is needed (True).
ENABLE_CACHING boolean True Cache the loaded simulation to reduce startup times when loading the same simulation again.
DEBUG boolean False Crash on non-critical errors with an exception (True) or hide non-critical errors (False).

Data structure

Data structure

Beware that not all attributes and methods are covered in this diagram. For a complete
documentation of all classes check the API Documentation below.

API Documentation

https://firedynamics.github.io/fdsreader/

Meta

Distributed under the LGPLv3 (GNU Lesser General Public License v3) license. See LICENSE for more information.

https://github.com/FireDynamics/fdsreader

Contributing

  1. Fork it (https://github.com/FireDynamics/fdsreader/fork)
  2. Create your feature branch (git checkout -b feature/fooBar)
  3. Commit your changes (git commit -am 'Add some fooBar')
  4. Push to the branch (git push origin feature/fooBar)
  5. Create a new Pull Request

Project details


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