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EDEMpy
EDEMpy is a Python library for accessing EDEM data from .h5 files (the underlying EDEM file format). EDEMpy does not require prior knowledge of advanced programming.
EDEMpy Syntax
The following sections provide an overview of the syntax used in EDEMpy.
Read Particle Data
You can read particle information (positions, velocities, and so on) for a given particle type in a given Time Step which is contained in a ParticleType object.

Welcome
What's New
New features and enhancements available in EDEM.
Release Notes
This document contains information about the EDEM release, such as key features and enhancements, bug fixes, and known issues.
About EDEM
EDEM is a high-performance simulation software for bulk and granular materials.
Get Started with EDEM
The EDEM user interface comprises three icons for each simulation component - Creator, Simulator, and Analyst.
EDEM Creator
EDEM Creator is the pre-processor for creating an EDEM simulation model, including setting up equipment and defining the generation of bulk materials.
EDEM Simulator
EDEM Simulator is a powerful solver used for fast and efficient simulations.
EDEM Analyst
EDEM Analyst is the post-processor used to analyze and visualize the results of your simulation.
EDEM Contact Models
A Contact Model describes how elements behave when they come into contact with each other.
EDEM Cal Utility
EDEM Cal is a utility which works with EDEM and is designed to assist in performing calibration.
GPU CUDA Guide
The EDEM CUDA GPU module uses the latest General Purpose Computing on Graphical Processing Units (GPU) technology.
Programming Guide
The EDEM Programming Guide describes the EDEM API.
Coupling Interface Programming Guide
The Coupling Interface Programming Guide provides an overview of how to use the EDEM Coupling Interface to couple with a generic CFD code and/or Multi Body dynamics codes.
EDEMpy
EDEMpy is a Python library for accessing EDEM data from .h5 files (the underlying EDEM file format). EDEMpy does not require prior knowledge of advanced programming.
- Set up a Python Virtual Environment
  A Python Virtual Environment is a folder containing a standalone Python installation. It is recommended to create a new Virtual Environment for each Python project, as this helps track project dependencies and enables sharing of Python projects.
- Install EDEMpy
  The EDEM installation folder includes EDEMpy as a PIP package file ready to be installed.
- EDEMpy Syntax
  The following sections provide an overview of the syntax used in EDEMpy.
  - Load a Deck
    To start using EDEMpy, load an existing deck by creating a Deck object and providing the full path to a .dem file. By default, decks are loaded in 'read-only' mode to prevent any accidental changes.
  - Read Particle Data
    You can read particle information (positions, velocities, and so on) for a given particle type in a given Time Step which is contained in a ParticleType object.
  - Read Geometry Data
    You can query Geometry information in a similar way to querying particles.
  - Read Contact, Bond, and Collision data
    You use the same syntax for reading contact and collision data. The only differences are in the available properties in each case.
  - Create Bins
    EDEMpy offers methods for binning objects using the BoxBin and CylinderBin classes.
  - Write Data
    EDEMpy provides functionality to modify decks for the purposes of automated pre-processing.
  - Custom Properties
    EDEMpy has four types of custom properties that you can read from and write into.
EDEM Solver Capabilities
EDEM contains four solver engines.
Appendix
This section provides additional information about how to estimate simulation time, supported EDEM File types, attribute definitions, and so on.
EDEM Terminology
Definitions of terms used in EDEM.
References and Bibliography
This section cites the contributions made by various authors and sources that have been used as reference material for EDEM, and the specifics of how they have been applied can be found in the individual contact model sections.

Read Particle Data

You can read particle information (positions, velocities, and so on) for a given particle type in a given Time Step which is contained in a ParticleType object.

To read particle data:

Use the following command to read particle information:

# The last timestep's index is one less than the number of timesteps
last_timestep = deck.numTimesteps - 1
# A particle type can be referred to either by name or by its index
particle_type = "New Particle 1"
particle_data = deck.timestep[last_timestep][particle_type] 
This object can then be used to get particle data in the form of NumPy arrays:
positions = particle_data.getPositions()
velocities = particle_data.getVelocities()
ang_velocities = particle_data.getAngularVelocities()
orientations = particle_data.getOrientation()
scales = particle_data.getScales()
ids = particle_data.getIds()
count = particle_data.numParticles

You can use this object to get particle data in the form of NumPy arrays as follows:

positions = particle_data.getPositions()
velocities = particle_data.getVelocities()
ang_velocities = particle_data.getAngularVelocities()
orientations = particle_data.getOrientation()
scales = particle_data.getScales()
ids = particle_data.getIds()
count = particle_data.numParticles