pywr.recorders.StorageDurationCurveRecorder¶
-
class
pywr.recorders.StorageDurationCurveRecorder(model, AbstractStorage node, percentiles, **kwargs)¶ This recorder calculates a storage duration curve for each scenario.
- Parameters
- modelpywr.core.Model
- nodepywr.core.AbstractStorage
The node to record
- percentilesarray
The percentiles to use in the calculation of the flow duration curve. Values must be in the range 0-100.
- agg_func: str, optional
function used for aggregating the FDC across percentiles. Numpy style functions that support an axis argument are supported.
- sdc_agg_func: str, optional
optional different function for aggregating across scenarios.
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__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
unregister(type cls)values(self)Compute a value for each scenario using temporal_agg_func.
Attributes
agg_funcchildrencommentcomment: unicode
constraint_lower_boundsconstraint_upper_boundsdataepsilonepsilon: ‘double’
ignore_nanignore_nan: ‘bool’
is_constraintReturns true if either upper or lower constraint bounds is defined.
is_double_bounded_constraintReturns true if upper and lower constraint bounds are both defined and not-equal to one another.
is_equality_constraintReturns true if upper and lower constraint bounds are both defined and equal to one another.
is_lower_bounded_constraintReturns true if lower constraint bounds is defined and upper constraint bounds is not.
is_objectiveis_upper_bounded_constraintReturns true if upper constraint bounds is defined and lower constraint bounds is not.
modelnamenodeparentsproportionalproportional: ‘bool’
sdctemporal_agg_func