Recorders

Base Recorder classes

All the Recorder subclasses in pywr are descended from a common base class.

Recorder(model[, agg_func, ignore_nan, ...])	Base class for recording information from a pywr.model.Model.
NodeRecorder(model, AbstractNode node[, name])
StorageRecorder(model, AbstractStorage node)
ParameterRecorder(model, Parameter param[, name])	Base class for recorders that track Parameter values.
IndexParameterRecorder(model, ...[, name])
Aggregator(func)	Utility class for computing aggregate values.

Numpy array recorders

The following parameters are used for storing results in memory. The data can be accessed following a model run before the model instances is destroyed.

NumpyArrayNodeRecorder(model, ...)	Recorder for timeseries information from a Node.
NumpyArrayStorageRecorder(*args, **kwargs)	Recorder for timeseries information from a Storage node.
NumpyArrayLevelRecorder	Recorder for level timeseries from a Storage node.
NumpyArrayAreaRecorder	Recorder for area timeseries from a Storage node.
NumpyArrayParameterRecorder(model, ...)	Recorder for timeseries information from a Parameter.
NumpyArrayIndexParameterRecorder(model, ...)	Recorder for timeseries information from an IndexParameter.
NumpyArrayDailyProfileParameterRecorder(...)	Recorder for an annual profile from a Parameter.

Flow duration curve recorders

FlowDurationCurveRecorder(model, ...)	This recorder calculates a flow duration curve for each scenario.
StorageDurationCurveRecorder(model, ...)	This recorder calculates a storage duration curve for each scenario.
FlowDurationCurveDeviationRecorder(model, ...)	This recorder calculates a Flow Duration Curve (FDC) for each scenario and then calculates their deviation from upper and lower target FDCs.
SeasonalFlowDurationCurveRecorder(model, ...)	This recorder calculates a flow duration curve for each scenario for a given season specified in months.

Deficit recorders

NumpyArrayNodeDeficitRecorder	Recorder for timeseries of deficit from a Node.
NumpyArrayNodeSuppliedRatioRecorder	Recorder for timeseries of ratio of supplied flow from a Node.
NumpyArrayNodeCurtailmentRatioRecorder	Recorder for timeseries of curtailment ratio from a Node.
TotalDeficitNodeRecorder	Recorder to total the difference between modelled flow and max_flow for a Node
DeficitFrequencyNodeRecorder	Recorder to return the frequency of timesteps with a failure to meet max_flow.

Statistical recorders

AggregatedRecorder(model, recorders, **kwargs)	This Recorder is used to aggregate across multiple other Recorder objects.
MeanFlowNodeRecorder(*args, **kwargs)	Record the mean flow for a Node.
TotalFlowNodeRecorder(*args, **kwargs)	Recorder to total the flow for a Node.
AnnualTotalFlowRecorder(model, unicode name, ...)	For each scenario, record the total flow in each year across a list of nodes.
MeanParameterRecorder(*args, **kwargs)	Record the mean value of a Parameter during a simulation.
TotalParameterRecorder(*args, **kwargs)	Record the total value of a Parameter during a simulation.
RollingMeanFlowNodeRecorder(model, node[, ...])	Records the mean flow of a Node for the previous N timesteps
MinimumVolumeStorageRecorder	Record the minimum volume in a Storage node during a simulation.
MinimumThresholdVolumeStorageRecorder(model, ...)	Record whether a Storage node falls below a particular volume threshold during a simulation.
TimestepCountIndexParameterRecorder(model, ...)	Record the number of times an index parameter exceeds a threshold for each scenario.
AnnualCountIndexThresholdRecorder(model, ...)	For each scenario, count the number of times a list of parameters exceeds a threshold in each year.
RollingWindowParameterRecorder(model, ...)	Records the mean value of a Parameter for the last N timesteps.
GaussianKDEStorageRecorder(*args, **kwargs)	A recorder that fits a KDE to a time-series of volume.
NormalisedGaussianKDEStorageRecorder(*args, ...)	A recorder that fits a KDE to a normalised time-series of volume.

Index recorders

AnnualCountIndexParameterRecorder(model, ...)

Record the number of years where an IndexParameter is greater than or equal to a threshold

File recorders

CSVRecorder(model, csvfile[, ...])	A Recorder that saves Node values to a CSV file.
TablesRecorder(model, h5file[, nodes, ...])	A recorder that saves model outputs to an HDF file.

Hydro-power recorders

HydropowerRecorder(model, node[, ...])	Calculates the power production using the hydropower equation
TotalHydroEnergyRecorder(model, node[, ...])	Calculates the total energy production using the hydropower equation from a model run.