pywr.recorders.SeasonalFlowDurationCurveRecorder
- class pywr.recorders.SeasonalFlowDurationCurveRecorder(model, AbstractNode node, percentiles, months, **kwargs)
This recorder calculates a flow duration curve for each scenario for a given season specified in months.
- Parameters:
- modelpywr.core.Model
- nodepywr.core.Node
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.
- fdc_agg_func: str, optional
optional different function for aggregating across scenarios.
- months: array
The numeric values of the months the flow duration curve should be calculated for.
- __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.
is_season
(self, x)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'
factor
factor: 'float'
fdc
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
tags
tags: dict
temporal_agg_func