The Graph

"Graph" is a bipartite graph class. The aim is to be able to deal with hypotheses and observations and the relationships between them. These two dimensions must be specified at init:

__init__(self, hypothesis_kind='hypothesis', observation_kind='observation', verbose=0)
    :param hypothesis_kind: a DictDimension.kind
    :param observation_kind: a DictDimension.kind

E.g.

graph = Graph('hypothesis', 'observation')

The nodes

"Node" objects are based on collections.MutableMapping. They are basically dictionaries, with two immutable fields (uid and kind) which make the object hashable.

Relationship between nodes

Relationship should be dictionaries.

Example

from elegans_graph import Graph, SimpleDimensions, Node
graph = Graph(hypothesis_kind=SimpleDimensions.HYPOTHESIS, observation_kind=SimpleDimensions.OBSERVATION)
first_observation = Node(kind=SimpleDimensions.OBSERVATION, uid=1, date='20150110')
second_observation = Node(kind=SimpleDimensions.OBSERVATION, uid=2, date='20150115')
first_hypothesis = Node(kind=SimpleDimensions.HYPOTHESIS, uid=1, name='impossible')
second_hypothesis = Node(kind=SimpleDimensions.HYPOTHESIS, uid=2, name='possible')
graph.connect(result=first_observation, given=first_hypothesis, relationship={'weight': 0.1})
graph.connect(result=first_observation, given=second_hypothesis, relationship={'weight': 0.2})
graph.connect(result=second_observation, given=second_hypothesis, relationship={'weight': 0.3})
print graph