pywr.recorders.NumpyArrayDailyProfileParameterRecorder

class pywr.recorders.NumpyArrayDailyProfileParameterRecorder(model, Parameter param, **kwargs)

Recorder for an annual profile from a Parameter.

This recorder stores a daily profile returned by a specific parameter. For each day of the year it stores the value encountered for that day during a simulation. This results in the final profile being the last value encountered on each day of the year during a simulation. This recorder is useful for returning the daily profile that may result from the combination of one or more parameters. For example, during optimisation of new profiles non-daily parameters (e.g. RbfProfileParameter) and/or aggregations of several parameters might be used. With this recorder the daily profile used in the simulation can be easily saved.

The data is saved internally using a memory view. The data can be accessed through the data attribute or to_dataframe() method.

Parameters

modelpywr.core.Model

parampywr.parameters.Parameter

Parameter instance to record.

temporal_agg_funcstr or callable (default=”mean”)

Aggregation function used over time when computing a value per scenario. For aggregation over scenarios see the agg_func keyword argument.

__init__(*args, **kwargs)

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

Methods

__init__(*args, **kwargs)	Initialize self.
after(self)
aggregated_value(self)
before(self)
finish(self)
is_constraint_violated(self)	Returns true if the value from this Recorder violates its constraint bounds.
load(type cls, model, data)
register(type cls)
reset(self)
setup(self)
to_dataframe(self)	Return a pandas.DataFrame of the recorder data This DataFrame contains a MultiIndex for the columns with the recorder name as the first level and scenario combination names as the second level.
unregister(type cls)
values(self)	Compute a value for each scenario using temporal_agg_func.

Attributes

agg_func
children
comment	comment: unicode
constraint_lower_bounds
constraint_upper_bounds
data
epsilon	epsilon: ‘double’
ignore_nan	ignore_nan: ‘bool’
is_constraint	Returns true if either upper or lower constraint bounds is defined.
is_double_bounded_constraint	Returns true if upper and lower constraint bounds are both defined and not-equal to one another.
is_equality_constraint	Returns true if upper and lower constraint bounds are both defined and equal to one another.
is_lower_bounded_constraint	Returns true if lower constraint bounds is defined and upper constraint bounds is not.
is_objective
is_upper_bounded_constraint	Returns true if upper constraint bounds is defined and lower constraint bounds is not.
model
name
parameter
parents
temporal_agg_func