PARTITION A CURVE AND RETURN A SINGLE VALUE FOR EACH PARITION¶
Splits one or more input curves into a fixed number of equal-width intervals and reduces each partition to a single scalar value (average, maximum, or minimum). Use this worker to summarize curve behaviour across distinct time or x-axis segments, for example extracting per-phase statistics from a load–time history.
When to use¶
Classification: process.
Tagged: average, curve, interval, maximum, minimum, partition, reduce, segmentation.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Curve | curves | vector | — | ✓ | One or more input curves (x/y vector pairs) to be partitioned; accepts multiple curves in a single pass. |
| Number Of Intervals | intervals | scalar | 4 | Number of equal-width partitions to divide each curve into (positive integer, default 4); supply a negative value to specify a fixed x-axis increment per partition instead of a count. | |
| Partition Type | partition_type | scalar | average | Reduction function applied within each partition: ‘average’ (default), ‘maximum’, or ‘minimum’; determines the single scalar returned per segment. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| curves_partition_output_1 | curves_partition_output_1 | vector | Reduced output curve(s) where each point represents the computed aggregate (average, max, or min) of the corresponding partition interval for every input curve. |
Disciplines¶
- data.curve.transform
- data.statistics
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=curves_partition
Auto-generated from transformation schema. Worker id: curves_partition. Schema hash: aa0e42af2fe6. Hand-curated docs in workerexamples/ override this page when present.