DiscretePointsFilter

class pyCGM2.Processing.DiscretePoints.discretePointFilters.DiscretePointsFilter(discretePointProcedure: DiscretePointProcedure, analysis: Analysis, modelInfo: Dict | None = None, subjInfo: Dict | None = None, condExpInfo: Dict | None = None)

Filter to extract discrete points from biomechanical data cycles.

Parameters:

• discretePointProcedure (DiscretePointProcedure) – Procedure to extract discrete points.

• analysis (Analysis) – Analysis instance containing biomechanical data.

• modelInfo (Optional[Dict]) – Information about the biomechanical model.

• subjInfo (Optional[Dict]) – Information about the subject.

• condExpInfo (Optional[Dict]) – Information about the experimental conditions.

__init__(discretePointProcedure: DiscretePointProcedure, analysis: Analysis, modelInfo: Dict | None = None, subjInfo: Dict | None = None, condExpInfo: Dict | None = None)

Methods

__init__(discretePointProcedure, analysis[, ...])
getOutput()	Get the output DataFrame with all discrete values according to the procedure.
setCondExpInf(condExpInfo)	Set experimental condition information.
setModelInfo(modelInfo)	Set model information.
setSubjInfo(subjInfo)	Set subject information.

getOutput()

Get the output DataFrame with all discrete values according to the procedure.

Returns:

pd.DataFrame – DataFrame containing the discrete values extracted.

setCondExpInf(condExpInfo: Dict)

Set experimental condition information.

Parameters:

condExpInfo (Dict) – Experimental condition information.

setModelInfo(modelInfo: Dict)

Set model information.

Parameters:

modelInfo (Dict) – Model information.

setSubjInfo(subjInfo: Dict)

Set subject information.

Parameters:

subjInfo (Dict) – Subject information.