math:average over label
Last update: 31.07.2026Version: 0.0.0
Description
Compute the component-wise average over all the fields that have the same ID as the label set as input in the fields container. This computation can be incremental. If the input fields container is connected and the operator is run multiple times, the output field will be on all the connected inputs.
Inputs
This table lists the input pins for this operator. Input pins define the data that the operator requires to perform its operation. Some inputs are required, while others are optional and provide additional configuration. Each parameter is detailed in the sections that follow the table.
| Pin number | Name | Status | Expected type(s) |
|---|---|---|---|
| 0 | fields_container | Required | fields_container |
| 1 | label | string |
fields_container (Pin 0)
- Required: Yes
- Expected type(s):
fields_container
label (Pin 1)
- Required: No
- Expected type(s):
string
Label of the fields container where it should operate. If not defined and the input Fields Container has only one Label, the operation will be done over all the fields.
Outputs
This table lists the output pins for this operator. Output pins provide the results of the operator's computation and can be connected to inputs of other operators or retrieved for further processing. Each output is detailed in the sections that follow the table.
| Pin number | Name | Expected type(s) |
|---|---|---|
| 0 | field | field |
field (Pin 0)
- Expected type(s):
field
Configurations
This operator supports configuration options that modify its behavior.
incremental
- Expected type(s):
bool - Default value: true
This operator can be run several times with different inputs so that the output will take all the inputs of the different runs into account. It can be used to save memory. For example, a large time scoping can be split in smaller ranges of time to compute the result range by range.
mutex
- Expected type(s):
bool - Default value: false
If this option is set to true, the shared memory is prevented from being simultaneously accessed by multiple threads.
Scripting
This operator can be accessed through scripting interfaces using these identifiers.
Category: math
Plugin: core
Scripting name: None
Full name: None
Internal name: average_over_label_fc
License: None
Examples
These examples demonstrate how to use this operator in different programming environments. Each example shows how to instantiate the operator, connect the required inputs, and retrieve the output.
C++
#include "dpf_api.h"
ansys::dpf::Operator op("average_over_label_fc"); // operator instantiation
op.connect(0, my_fields_container);
op.connect(1, my_label);
ansys::dpf::Field my_field = op.getOutput<ansys::dpf::Field>(0);
CPython
import ansys.dpf.core as dpf
op = dpf.operators.math.None() # operator instantiation
op.inputs.fields_container.connect(my_fields_container)
op.inputs.label.connect(my_label)
my_field = op.outputs.field()
IPython
import mech_dpf
import Ans.DataProcessing as dpf
op = dpf.operators.math.None() # operator instantiation
op.inputs.fields_container.Connect(my_fields_container)
op.inputs.label.Connect(my_label)
my_field = op.outputs.field.GetData()
Changelog
- Version 0.0.0: Initial release.