pywr.nodes.AggregatedNode

class pywr.nodes.AggregatedNode(*args, **kwargs)

An aggregated sum of other Node nodes

This object should behave like Node by returning current flow. However this object can not be connected to others within the network.

Parameters:

model - `Model` instance

name - str

nodes - list or iterable of `Node` objects

The Node objects which to return the sum total of

Notes

This node can not be connected to other nodes in the network.

__init__(model, name, nodes, flow_weights=None, **kwargs)

Methods

__init__(model, name, nodes[, flow_weights])
after(self, Timestep ts)
before(self, Timestep ts)	Called at the beginning of the timestep
check(self)
commit(self, int scenario_index, double value)	Called once for each route the node is a member of
commit_all(self, double[)	Called once for each route the node is a member of
finalise_load()	Finish loading a node by converting parameter name references to instance references.
finish(self)
get_all_cost(self, double[)
get_all_max_flow(self, double[)
get_all_min_flow(self, double[)
get_constant_factors(self)	Get constant factors.
get_cost(self, ScenarioIndex scenario_index)
get_factors(self, ScenarioIndex scenario_index)	Get node factors for the current timestep and given scenario index.
get_factors_norm(self, ...)	Get node factors normalised by the factor of the first node.
get_max_flow(self, ScenarioIndex scenario_index)	Get the maximum flow at a given timestep
get_min_flow(self, ScenarioIndex scenario_index)	Get the minimum flow at a given timestep
pre_load(model, data)	Create a node instance from data.
reset(self)	Called at the beginning of a run
setup(self, model)	Called before the first run of the model

Attributes

allow_isolated	A property to flag whether this Node can be unconnected in a network.
comment	comment: basestring
component_attrs
components	Generator that returns all of the Components attached to the Node
domain
factors
flow	Total flow via this node in the current timestep
flow_weights
fully_qualified_name
has_constant_factors	Returns true if all factors are is_constant==True
has_fixed_factors	Returns true if all factors are of type ConstantParameter
max_flow	The maximum flow constraint on the node
min_flow	The minimum flow constraint on the node
model	The recorder for the node, e.g. a NumpyArrayRecorder.
name	Name of the node.
nodes
parent	The parent Node/Storage of this object.
prev_flow	Total flow via this node in the previous timestep
recorders	Returns a list of pywr.recorders.Recorder objects attached to this node.
virtual	virtual: 'bool'