.. _auto_curve_binning:

*CREATE A NEW CURVE BY LINEAR INTERPOLATION TO REACH A MAXIMUM OF NUM_POINTS SPECIFIED BELOW*
=============================================================================================

Resamples a curve into a fixed number of equidistant intervals using linear interpolation, then reduces each bin to a representative value (average, min, max, slope, integral, etc.). Use this worker to normalise curves to a common x-axis grid before comparison or further analysis.

When to use
-----------

Classification: **process**.

Tagged: ``binning``, ``curve``, ``downsampling``, ``equidistant``, ``linear_interpolation``, ``resampling``.

Inputs
------

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

   * - Label
     - ID
     - Type
     - Default
     - Required
     - Description
   * - Curve to be binned
     - curve1
     - vector
     - —
     - 
     - Input curve (x/y vector pair) to be binned; must be a valid curve object — leave empty only if the curve is supplied upstream in the workflow.
   * - Num of Intervals
     - num_points
     - integer
     - 100
     - 
     - Number of equidistant intervals to divide the curve's x-range into; defaults to 100. Note: this controls interval count, not point count.
   * - Bin Prefix
     - prefix
     - texgt
     - CBIN
     - 
     - Short string prefix applied to the binned output labels (e.g. 'CBIN'); defaults to 'CBIN' and can usually be left at the default unless naming conflicts exist.
   * - Type of Bin Value
     - type
     - string
     - avg
     - 
     - Aggregation method applied within each bin: 'avg' (mean), 'min', 'max', 'diff' (difference), 'slope', 'integral', 'current' (last point), or 'previous' (first point); defaults to 'avg'.

Outputs
-------

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

   * - Label
     - ID
     - Type
     - Description
   * - Binned Dataset
     - binned_values
     - dataset
     - Dataset containing the resampled curve with one row per bin, where each row holds the bin's representative x-midpoint and the aggregated y-value computed by the selected bin type.

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_binning <https://www.d3view.com/api/workflow/example?id=curve_binning>`_

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   Auto-generated from <code>transformation</code> schema. Worker id: <code>curve_binning</code>. Schema hash: <code>f93360c9edae</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>