.. _auto_curve_moving_average: *MOVING AVERAGE OF Y-VALUES* ============================ Smooths a curve by computing a rolling (moving) average over its Y-values. Use this worker to reduce noise in time-history or signal data by averaging each point over a configurable window of neighboring steps. When to use ----------- Classification: **process**. Tagged: ``curve``, ``moving_average``, ``noise_reduction``, ``rolling_average``, ``signal``, ``smoothing``, ``time_history``. Inputs ------ .. list-table:: :header-rows: 1 :widths: 20 20 20 20 20 20 * - Label - ID - Type - Default - Required - Description * - Curve - curve - vector - — - ✓ - Input XY curve (vector) whose Y-values will be smoothed; typically a time-history or signal curve in any engineering unit. * - Number Of Steps - num_steps - scalar - 10 - - Window size (number of steps) for the rolling average; defaults to 10 — increase for heavier smoothing, decrease to preserve more detail. Outputs ------- .. list-table:: :header-rows: 1 :widths: 20 20 20 20 * - Label - ID - Type - Description * - Curve moving average - curve_moving_average - vector - Smoothed XY curve with the same X-axis as the input and Y-values replaced by the rolling mean computed over the specified window. 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_moving_average `_ .. raw:: html

Auto-generated from transformation schema. Worker id: curve_moving_average. Schema hash: 367ca2351e5b. Hand-curated docs in workerexamples/ override this page when present.