:py:mod:`bw2data.weighting_normalization`
=========================================

.. py:module:: bw2data.weighting_normalization


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

Classes
~~~~~~~

.. autoapisummary::

   bw2data.weighting_normalization.Normalization
   bw2data.weighting_normalization.Weighting




.. py:class:: Normalization

   Bases: :py:obj:`bw2data.ia_data_store.ImpactAssessmentDataStore`

   .. autoapi-inheritance-diagram:: bw2data.weighting_normalization.Normalization
      :parts: 1
      :private-bases:

   LCIA normalization data - used to transform meaningful units, like mass or damage, into "person-equivalents" or some such thing.

   The data schema for IA normalization is:

   .. code-block:: python

           Schema([
               [valid_tuple, maybe_uncertainty]
           ])

   where:
       * ``valid_tuple`` is a dataset identifier, like ``("biosphere", "CO2")``
       * ``maybe_uncertainty`` is either a number or an uncertainty dictionary


   .. py:attribute:: _metadata

      

   .. py:attribute:: dtype_fields
      :value: [(), ()]

      

   .. py:attribute:: validator

      

   .. py:method:: add_mappings(data)

      Add each normalization flow (should be biosphere flows) to global mapping


   .. py:method:: process_data(row)

      Return values that match ``dtype_fields``, as well as number or uncertainty dictionary



.. py:class:: Weighting

   Bases: :py:obj:`bw2data.ia_data_store.ImpactAssessmentDataStore`

   .. autoapi-inheritance-diagram:: bw2data.weighting_normalization.Weighting
      :parts: 1
      :private-bases:

   LCIA weighting data - used to combine or compare different impact categories.

   The data schema for weighting is a one-element list:

   .. code-block:: python

           Schema(All(
               [uncertainty_dict],
               Length(min=1, max=1)
           ))


   .. py:attribute:: _metadata

      

   .. py:attribute:: dtype_fields
      :value: []

      

   .. py:attribute:: validator

      

   .. py:method:: process_data(row)

      Return an empty tuple (as ``dtype_fields`` is empty), and the weighting uncertainty dictionary.


   .. py:method:: write(data)

      Because of DataStore assumptions, need a one-element list