bw2analyzer.sc_graph
====================

.. py:module:: bw2analyzer.sc_graph


Classes
-------

.. autoapisummary::

   bw2analyzer.sc_graph.GTManipulator


Functions
---------

.. autoapisummary::

   bw2analyzer.sc_graph.tupify


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

.. py:class:: GTManipulator

   Manipulate ``GraphTraversal`` results.


   .. py:method:: add_metadata(nodes, lca)
      :staticmethod:


      Add metadata to nodes, like name, unit, and category.



   .. py:method:: d3_force_directed(nodes, edges, score)
      :staticmethod:


      Reformat to D3 style, which is a list of nodes, and edge ids are node list indices.



   .. py:method:: d3_treemap(nodes, edges, lca, add_biosphere=False)
      :staticmethod:


      Add node data by traversing the graph; assign different metadata to leaf nodes.



   .. py:method:: simplify(nodes, edges, score, limit=0.005)
      :staticmethod:


      Simplify supply chain to include only nodes which individually contribute ``limit * score``.

      Only removes and combines edges; doesn't check to make sure amounts add up correctly.



   .. py:method:: simplify_naive(nodes, edges, score, limit=0.0025)
      :staticmethod:


      Naive simplification which simplifies removes links below an LCA score cutoff. Orphan nodes are also deleted.



   .. py:method:: unroll_graph(nodes, edges, score, cutoff=0.005, max_links=2500)
      :staticmethod:


      Unroll a ``GraphTraversal`` result, allowing the same activity to appear in the graph multiple times.



.. py:function:: tupify(o)

   Transform edge from dict to tuples. Multiply impact by -1 because sort by min, not max