report.Average#
- class Average#
Bases:
GenericOperationRepresents an averaging operation on simulation results.
This operation calculates the average of a given data set over a specified range of steps, time, or fraction of the dataset.
- Raises:
NotImplementedError – If the method of averaging (e.g., step-based or time-based) is not implemented or the data type is unsupported.
Example
avg = Average(fraction=0.1) result = avg.calculate(data, case, cases, variables, new_variable_name)
Attributes
- start_step: int, optional#
The starting step for averaging. If not specified, averaging starts from the beginning.
- Default:
None
- end_step: int, optional#
The ending step for averaging. If not specified, averaging continues to the end.
- Default:
None
- start_time: float, optional#
The starting time for averaging. If not specified, averaging starts from the beginning.
- Default:
None
- end_time: float, optional#
The ending time for averaging. If not specified, averaging continues to the end.
- Default:
None
- fraction: float, optional#
The fraction of the dataset to be averaged, ranging from 0 to 1. Only the fraction-based method is implemented.
- Default:
None
Additional Constructors
- classmethod from_file(filename)#
Loads a
Flow360BaseModelfrom .json, or .yaml file.- Parameters:
filename (str) – Full path to the .yaml or .json file to load the
Flow360BaseModelfrom.- Returns:
An instance of the component class calling load.
- Return type:
Flow360BaseModel
Example
>>> params = Flow360BaseModel.from_file(filename='folder/sim.json')
Methods
- calculate(data, case, cases, variables, new_variable_name)#
Performs the averaging operation on the provided data.
- help(methods=False)#
Prints message describing the fields and methods of a
Flow360BaseModel.- Parameters:
methods (bool = False) – Whether to also print out information about object’s methods.
- Return type:
None
Example
>>> params.help(methods=True)