DATASET GET DEFINE TABLE

Converts a dataset into a define-table structure by mapping designated columns to value, curve, and name roles. Use this worker when you need to transform a tabular dataset into a structured define-table for downstream parametric or curve-based workflow steps.

When to use

Classification: process.

Tagged: column_mapping, dataset, define_table, table_transform.

Inputs

Label ID Type Default Required Description
Dataset dataset_1 dataset   Input dataset (tabular) to be converted into a define-table; all column selections below reference columns present in this dataset.
Value Column value_column scalar   Name of the column in dataset_1 whose entries will populate the ‘value’ field of each define-table row; leave unset if no scalar value mapping is required.
Curve Column curve_column scalar   Name of the column in dataset_1 whose entries will populate the ‘curve’ field of each define-table row; leave unset if no curve association is needed.
Name Column name_column scalar   Name of the column in dataset_1 whose entries will populate the ‘name’ field (row label) of each define-table row; leave unset to use default row identifiers.

Outputs

Label ID Type Description
dataset_get_define_table_output_1 dataset_get_define_table_output_1 define_table A define-table object constructed from the input dataset, with rows keyed by the name column and value/curve fields populated from the respective selected columns.

Disciplines

  • data.dataset.transform

Runnable example

A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_get_define_table


Auto-generated from transformation schema. Worker id: dataset_get_define_table. Schema hash: 38404b460305. Hand-curated docs in workerexamples/ override this page when present.