.. _auto_curves_splinify: *FIT THE CURVE BASED ON SPLINES* ================================ Fits one or more input curves using cubic spline interpolation, producing a smoothed curve re-sampled at a specified number of points. Use this worker to regularise noisy or irregularly-sampled curves before downstream analysis or comparison. When to use ----------- Classification: **process**. Tagged: ``curve_fit``, ``interpolation``, ``resample``, ``smoothing``, ``spline``, ``splinify``, ``transformations``. Inputs ------ .. list-table:: :header-rows: 1 :widths: 20 20 20 20 20 20 * - Label - ID - Type - Default - Required - Description * - Curves In - curves_in - vector - — - - One or more input curves (x/y vector pairs) to be spline-fitted; accepts multiple curves in a single pass. * - RADC - rad_c - scalar - 0.05 - - Spline smoothing radius/tolerance parameter (RADC); dimensionless float, default 0.05 — increase to produce a smoother, less tightly fitted spline. * - Number Of Points - numberof_points - scalar - 100 - - Number of evenly-spaced output points to resample the fitted spline onto; integer, default 100 — increase for higher output resolution. Outputs ------- .. list-table:: :header-rows: 1 :widths: 20 20 20 20 * - Label - ID - Type - Description * - curves_splinify_output_1 - curves_splinify_output_1 - vector - Spline-fitted and resampled output curve(s) corresponding to each input curve, returned as x/y vector pairs at the requested number of points. 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=curves_splinify `_ .. raw:: html

Auto-generated from transformation schema. Worker id: curves_splinify. Schema hash: be2fe8eda01c. Hand-curated docs in workerexamples/ override this page when present.