pywr.parameters.MonthlyProfileParameter

class pywr.parameters.MonthlyProfileParameter(model, values, lower_bounds=0.0, upper_bounds=np.inf, interp_day=None, **kwargs)

Parameter which provides a monthly profile.

The monthly profile returns a different value based on the month of the current time-step. By default this creates a piecewise profile with a step change at the beginning of each month. An optional interp_day keyword can instead create a linearly interpolated daily profile assuming the given values correspond to either the first or last day of the month.

Parameters
valuesiterable, array

The 12 values that represent the monthly profile.

lower_boundsfloat (default=0.0)

The lower bounds of the monthly profile values when used during optimisation.

upper_boundsfloat (default=np.inf)

The upper bounds of the monthly profile values when used during optimisation.

inter_daystr or None (default=None)
If interp_day is None then no interpolation is undertaken, and the parameter

returns values representing a piecewise monthly profile. Otherwise interp_day must be a string of either “first” or “last” representing which day of the month each of the 12 values represents. The parameter then returns linearly interpolated values between the given day of the month.

__init__(*args, **kwargs)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(*args, **kwargs)

Initialize self.

after(self)

before(self)

finish(self)

get_all_values(self)

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(type cls, model, data)

register(type cls)

reset(self)

set_double_variables(self, double[)

set_integer_variables(self, int[)

setup(self)

unregister(type cls)

value(self, Timestep ts, …)

Attributes

children

comment

comment: unicode

double_size

double_size: ‘int’

integer_size

integer_size: ‘int’

interp_day

interp_day: object

is_variable

is_variable: ‘bool’

model

name

parents

size