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.

__init__(*args, **kwargs)

Methods

__init__(*args, **kwargs)
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(cls, model, data)
register(cls)
reset(self)
setup(self)
to_dataframe(self)	Return a pandas.DataFrame of the recorder data
unregister(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
node
parents
proportional	proportional: 'bool'
sdc
tags	tags: dict
temporal_agg_func