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
Powered by GitBook
On this page
  • Methods
  • data()
  • delete()

Was this helpful?

  1. Iota Python Reference Library

Dataset

PreviousGraphNextMesh

Last updated 5 years ago

Was this helpful?

iota.session.Dataset()

Description Iota Dataset object

Note: This class is different than .

Methods

Variables

  • name (str) file name

  • description (str) file description

  • id (int) file Id

  • data_format (str) dataset format

  • loaded (bool) check if dataset is already loaded

  • metafile (str) json file contained the metadata of the dataset

Methods

Load the data contained in the dataset file Returns a class

Example

dataset_record = my_scenario.get_dataset(
    name = 'my dataset',
    data_format = 'PADEM'
    )
dataset = dataset_record.data()
print('Number of timesteps in the dataset: {}'.format(len(dataset.timesteps)))

Remove dataset from the project

Example

dataset_record = my_scenario.get_dataset(
    name = 'my dataset',
    data_format = 'PADEM'
    )
dataset_record.delete()

iota.Dataset
iota.Dataset
data
delete
data()
delete()