Iota Python API
19.2.1
19.2.11.0.0
19.2.1
19.2.11.0.0
  • Introduction
  • Getting started with Iota Python Library and Iota IPython Terminal
    • Starting a Session
    • Creating a New Project
    • Loading a Project
    • Creating a New Scenario
    • Loading a Scenario
    • Importing a Dataset
    • Running Coarse-graining
  • Writing Scripts
    • Generic Scripts
    • Run(scenario) Scripts
  • Running Scripts
    • Running Generic Scripts
    • Running run(scenario) Scripts
  • Iota Python Reference Library
    • Datasets
    • Graphs
    • Scene renderer
    • Meshing
    • Variable types
    • Session
    • Project
    • Scenario
    • Graph
    • Dataset
    • Mesh
    • Script
    • File
    • Auxiliar
    • Enums
  • Examples
    • Creating a New Project
    • Creating a New Scenario
    • Creating Multiple Scenarios
    • Loading a Project and a Scenario
    • Importing a Dataset into a Scenario
    • Importing Multiple Datasets into different Scenarios
    • Creating a Cut-Plane with Results in a Dataset
    • Creating a New Result in a Dataset
    • Calculating a KPI and Exporting into a Graph
    • Getting the Profile of Result along a Line
    • Creating Multiple Result Line Variations and Plotting them in a Single Graph
    • Integrating a Result over a Mesh
    • Getting the Evolution of the Statistics of a Result
    • Creating Multiple Screenshots of a Dataset
    • Creating Multiple Videos of a Dataset
    • Cloninig Settings and Running Coarse-graining for Multiple Scenarios
    • Automating EDEM Simulations runs and Iota Analyses
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  • Packages
  • Classes
  • Functions
  • Enum
  • Data

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Iota Python Reference Library

PreviousRunning run(scenario) ScriptsNextDatasets

Last updated 5 years ago

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This section provides a description of all the packages, classes, functions and other methods. It also shows examples for the different methods and provides links to more detailed information.

Version: 1.0.0

Packages

advanced graph generation package

mesh generation package

advanced offscreen scene renderer

Classes

Data access:

read/create simulation dataset

Variable types:

array of 2 integers

array of 3 integers

array of 4 integers

array of 2 floats

array of 3 floats

Variable lists/vectors:

Functions

Enum

Data

array of 4 floats

matrix of 3x3 floats

array of 3 doubles

list of integers

list of Integer2

list of Integer3

list of Integer4

list of floats

list of Vector3

list of Vector4

list of Matrix33

start session to access projects/scenarios

auxiliar function to create variables from lists (similar to numpy nparray())

types of access for a dataset

types of meshes available in a dataset

types of results avaialble in a dataset

types of datasets accepted in the system

result component index representing all components

result step index representing all steps

resut mesh index representing static meshes

iota.graph
iota.mesh
iota.render
iota.Dataset
iota.Integer2
iota.Integer3
iota.Integer4
iota.Vector2
iota.Vector3
iota.Vector4
iota.Matrix33
iota.Vector3d
iota.ArrayInteger
iota.ArrayInteger2
iota.ArrayInteger3
iota.ArrayInteger4
iota.ArrayFloat
iota.ArrayVector3
iota.ArrayVector4
iota.ArrayMatrix33
iota.session
iota.vector
iota.IO_Type
iota.MeshType
iota.ResultType
iota.DatasetType
iota.ALL_COMPONENTS
iota.ALL_STEPS
iota.STATIC_MESH