.. _auto_curve_remove_outlier_points:

*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
------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20 20 20

   * - 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
-------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20

   * - 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 <https://www.d3view.com/api/workflow/example?id=curve_remove_outlier_points>`_

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   Auto-generated from <code>transformation</code> schema. Worker id: <code>curve_remove_outlier_points</code>. Schema hash: <code>93dd2d8f94b9</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
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