REMOVE OUTLIER POINTS FROM CURVES¶
Removes statistical outlier points from one or more curves along a chosen axis (X or Y). Use this worker to clean noisy curve data before further processing, fitting, or visualization.
When to use¶
Classification: process.
Tagged: curve_cleaning, data_cleaning, noise_reduction, outlier, outlier_removal, process, transformations.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Curves | curves | vector | — | One or more input curves (vector) from which outlier points will be removed; accepts the standard d3VIEW CurveInput format — leave empty if curves are supplied dynamically upstream. | |
| Axis Type | axis_type | select | y | Axis along which outlier detection is applied — ‘x’ to filter by X-axis values, ‘y’ (default) to filter by Y-axis values; leave as ‘y’ for the typical time-history or force-displacement use case. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| Curves without Outliers | curves_without_outliers | vector | Cleaned curves with detected outlier points removed, returned in the same vector format as the input curves. |
Disciplines¶
- data.curve.transform
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=curves_remove_outlier_points
Auto-generated from transformation schema. Worker id: curves_remove_outlier_points. Schema hash: 6832573662aa. Hand-curated docs in workerexamples/ override this page when present.