.. _auto_curves_partition:

*PARTITION A CURVE AND RETURN A SINGLE VALUE FOR EACH PARITION*
===============================================================

Splits one or more input curves into a fixed number of equal-width intervals and reduces each partition to a single scalar value (average, maximum, or minimum). Use this worker to summarize curve behaviour across distinct time or x-axis segments, for example extracting per-phase statistics from a load–time history.

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

Classification: **process**.

Tagged: ``average``, ``curve``, ``interval``, ``maximum``, ``minimum``, ``partition``, ``reduce``, ``segmentation``.

Inputs
------

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

   * - Label
     - ID
     - Type
     - Default
     - Required
     - Description
   * - Curve
     - curves
     - vector
     - —
     - ✓
     - One or more input curves (x/y vector pairs) to be partitioned; accepts multiple curves in a single pass.
   * - Number Of Intervals
     - intervals
     - scalar
     - 4
     - 
     - Number of equal-width partitions to divide each curve into (positive integer, default 4); supply a negative value to specify a fixed x-axis increment per partition instead of a count.
   * - Partition Type
     - partition_type
     - scalar
     - average
     - 
     - Reduction function applied within each partition: 'average' (default), 'maximum', or 'minimum'; determines the single scalar returned per segment.

Outputs
-------

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

   * - Label
     - ID
     - Type
     - Description
   * - curves_partition_output_1
     - curves_partition_output_1
     - vector
     - Reduced output curve(s) where each point represents the computed aggregate (average, max, or min) of the corresponding partition interval for every input curve.

Disciplines
-----------

- data.curve.transform
- data.statistics

Runnable example
----------------

A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: `/api/workflow/example?id=curves_partition <https://www.d3view.com/api/workflow/example?id=curves_partition>`_

.. raw:: html

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   Auto-generated from <code>transformation</code> schema. Worker id: <code>curves_partition</code>. Schema hash: <code>aa0e42af2fe6</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>