ITERATOR¶
Iterates over a collection of curves and applies a configurable set of named operations to each one in sequence. Use this worker when you need to batch-process or transform multiple curves with the same pipeline of operations inside a workflow loop.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Curves | curves | vector | — | Collection of input curves to iterate over; accepts multiple curve objects (e.g. time-history or X-Y pairs) that will each be processed by the specified operations — leave empty to pass curves dynamically from an upstream worker. | |
| Operations | operations | textarea | — | Newline-separated list of operations to apply to each curve, where each line is a key=value or key=value,value,… entry defining the operation name and its parameters (e.g. ‘scale=2.0’ or ‘filter=butterworth,100’). |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| curves_iterator_output_1 | curves_iterator_output_1 | bulk | Bulk output containing the full set of transformed curves produced after all operations have been applied to every input curve. |
Disciplines¶
- data.curve.pair
- data.curve.transform
- platform.workflow
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=curves_iterator
Auto-generated from transformation schema. Worker id: curves_iterator. Schema hash: 7790c05c6c09. Hand-curated docs in workerexamples/ override this page when present.