pywr.parameters.FlowParameter

class pywr.parameters.FlowParameter(model, node, *args, **kwargs)

Parameter that provides the flow from a node from the previous time-step.

Parameters:

modelpywr.model.Model

nodeNode

The node that will have its flow tracked

initial_valuefloat (default=0.0)

The value to return on the first time-step before the node has any past flow.

Notes

This parameter keeps track of the previous time step’s flow on the given node. These values can be used in calculations for the current timestep as though this was any other parameter.

__init__(*args, **kwargs)

Methods

__init__(*args, **kwargs)
after(self)
before(self)
finish(self)
get_all_values(self)
get_constant_value(self)	Return a constant value.
get_double_lower_bounds(self)
get_double_upper_bounds(self)
get_double_variables(self)
get_integer_lower_bounds(self)
get_integer_upper_bounds(self)
get_integer_variables(self)
get_value(self, ScenarioIndex scenario_index)
load(cls, model, data)
register(cls)
reset(self)
set_double_variables(self, double[)
set_integer_variables(self, int[)
setup(self)
unregister(cls)
value(self, Timestep ts, ...)

Attributes

children
comment	comment: unicode
double_size	double_size: 'int'
initial_value	initial_value: 'double'
integer_size	integer_size: 'int'
is_constant
is_variable	is_variable: 'bool'
model
name
node	node: pywr._core.Node
parents
size
tags	tags: dict