pywr.parameters.RollingMeanFlowNodeParameter

class pywr.parameters.RollingMeanFlowNodeParameter(model, node, timesteps=None, days=None, initial_flow=0.0, **kwargs)

Returns the mean flow of a Node for the previous N timesteps or days.

Parameters:

modelpywr.core.Model
nodepywr.core.Node: The node to record
timestepsint (optional): The number of timesteps to calculate the mean flow for. If days is provided then timesteps is ignored.
daysint (optional): The number of days to calculate the mean flow for. This is converted into a number of timesteps internally provided the timestep is a number of days.
namestr (optional): The name of the parameter
initial_flowfloat: The initial value to use in the first timestep before any flows have been recorded.

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