REMOVE OUTLIER POINTS FROM CURVES¶
Removes statistical outlier points from a curve along the specified axis (X or Y). Use this worker to clean noisy test or simulation curves before downstream processing, fitting, or comparison.
When to use¶
Classification: process.
Tagged: curve_cleaning, data_quality, noise_filtering, outlier_removal.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Curve | curve | vector | — | Input curve (X/Y vector pair) from which outlier points will be detected and removed; accepts any d3VIEW curve object. | |
| Axis Type | axis_type | select | y | Axis along which outlier detection is performed — ‘y’ (default) targets outlier Y values; choose ‘x’ to detect outliers in the X dimension instead. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| Curve without outlier points | curve_without_outlier_points | vector | Cleaned curve with all detected outlier points stripped out, preserving the original X/Y structure of the remaining data. |
Disciplines¶
- data.curve.transform
- data.signal_processing
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=curve_remove_outlier_points
Auto-generated from transformation schema. Worker id: curve_remove_outlier_points. Schema hash: 93dd2d8f94b9. Hand-curated docs in workerexamples/ override this page when present.