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

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

.. autoapi-nested-parse::

   Generic numerical methods.

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Functions
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.. autoapisummary::

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


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

.. py:function:: mean_unique_values(arr: xarray.DataArray, dim: str)

   
   Average duplicate values across a dimension.
















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

   
   Average arrays by alligning coordinates.

   Missing values are ignored during the averaging.

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















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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.

   :param ddof: DDOF, set to 1 for an unbiased estimator, by default 1
   :type ddof: int, optional
   :param min_points: _description_, by default 3
   :type min_points: int, optional

   :returns: _description_
   :rtype: xr.DataArray















   ..
       !! processed by numpydoc !!