microcalorimetry.math.numbers
=============================

.. py:module:: microcalorimetry.math.numbers

.. autoapi-nested-parse::

   Generic numerical methods.

   ..
       !! processed by numpydoc !!


Functions
---------

.. autoapisummary::

   microcalorimetry.math.numbers.greedy_average
   microcalorimetry.math.numbers.greedy_std


Module Contents
---------------

.. py:function:: greedy_average(*arrays: xarray.DataArray) -> xarray.DataArray

   
   Average arrays by alligning coordinates.

   Missing values are ignored during the averaging.

   :Parameters:

       **\*arrays** : xr.DataArray
           Arrays to greedy average across.














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.. py:function:: greedy_std(*arrays: xarray.DataArray, ddof: int = 1, min_points: int = 3) -> xarray.DataArray

   
   Take the standard deviation across arrays.

   Values missing between the arrays are ignored.

   :Parameters:

       **ddof** : int, optional
           DDOF, set to 1 for an unbiased estimator, by default 1

       **min_points** : int, optional
           _description_, by default 3



   :Returns:

       xr.DataArray
           _description_











   ..
       !! processed by numpydoc !!