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 # averaging:elemental to nodal (field)

 Last update: 31.07.2026 

**Version: 0.0.0**

## Description

Transforms an Elemental field to a Nodal field. The result is computed on a given node's scoping.

1. For a finite element mesh, the value on a node is the average of the values of the neighbour elements.
2. For a volume finite volume mesh, the agorithm is :
    
    
    - For each node, compute interpolation weights for the cells connected to it based on the Frink's Laplacian method.
    - If the determinant of the I matrix is zero, switch to an inverse distance weighted average.
    - If not, compute the Frink weights and apply the Holmes' weight clip.
    - If the clipping produces a large overshoot, inverse volume weighted average is used..
3. For a face finite volume mesh inverse distance weighted average is used.

## 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 numberNameStatusExpected type(s)0[field](#input_0)Required[`field`](../../core-concepts/dpf-types.md#field), [`fields_container`](../../core-concepts/dpf-types.md#fields-container)**1**[mesh\_scoping](#input_1)[`scoping`](../../core-concepts/dpf-types.md#scoping)**2**[force\_averaging](#input_2)[`int32`](../../core-concepts/dpf-types.md#standard-types)**200**[algorithm](#input_200)[`int32`](../../core-concepts/dpf-types.md#standard-types)<a id="input_0"></a>

### field (Pin 0)

- **Required:** Yes
- **Expected type(s):** [`field`](../../core-concepts/dpf-types.md#field), [`fields_container`](../../core-concepts/dpf-types.md#fields-container)

field or fields container with only one field is expected

<a id="input_1"></a>

### mesh\_scoping (Pin 1)

- **Required:** No
- **Expected type(s):** [`scoping`](../../core-concepts/dpf-types.md#scoping)

<a id="input_2"></a>

### force\_averaging (Pin 2)

- **Required:** No
- **Expected type(s):** [`int32`](../../core-concepts/dpf-types.md#standard-types)

Averaging on nodes is used if this pin is set to 1 (default is 1 for integrated results and 0 for discrete ones).

<a id="input_200"></a>

### algorithm (Pin 200)

- **Required:** No
- **Expected type(s):** [`int32`](../../core-concepts/dpf-types.md#standard-types)

Forces the usage of algorithm 1, 2 or 3 (default is chosen based on the type of mesh).

## 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 numberNameExpected type(s)0[field](#output_0)[`field`](../../core-concepts/dpf-types.md#field)<a id="output_0"></a>

### field (Pin 0)

- **Expected type(s):** [`field`](../../core-concepts/dpf-types.md#field)

## Configurations

This operator supports [configuration options](../../core-concepts/operator-configurations.md) that modify its behavior.

### [mutex](../../core-concepts/operator-configurations.md#mutex)

- **Expected type(s):** [`bool`](../../core-concepts/dpf-types.md#standard-types)
- **Default value:** false

If this option is set to true, the shared memory is prevented from being simultaneously accessed by multiple threads.

### [run\_in\_parallel](../../core-concepts/operator-configurations.md#run_in_parallel)

- **Expected type(s):** [`bool`](../../core-concepts/dpf-types.md#standard-types)
- **Default value:** true

Loops are allowed to run in parallel if the value of this config is set to true.

## Scripting

This operator can be accessed through scripting interfaces using these identifiers.

**Category**: averaging

**Plugin**: core

**Scripting name**: elemental\_to\_nodal

**Full name**: averaging.elemental\_to\_nodal

**Internal name**: elemental\_to\_nodal

**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++```cpp
#include "dpf_api.h"

ansys::dpf::Operator op("elemental_to_nodal"); // operator instantiation
op.connect(0, my_field);
op.connect(1, my_mesh_scoping);
op.connect(2, my_force_averaging);
op.connect(200, my_algorithm);
ansys::dpf::Field my_field = op.getOutput<ansys::dpf::Field>(0);

```

CPython```python
import ansys.dpf.core as dpf

op = dpf.operators.averaging.elemental_to_nodal() # operator instantiation
op.inputs.field.connect(my_field)
op.inputs.mesh_scoping.connect(my_mesh_scoping)
op.inputs.force_averaging.connect(my_force_averaging)
op.inputs.algorithm.connect(my_algorithm)
my_field = op.outputs.field()

```

IPython```python
import mech_dpf
import Ans.DataProcessing as dpf

op = dpf.operators.averaging.elemental_to_nodal() # operator instantiation
op.inputs.field.Connect(my_field)
op.inputs.mesh_scoping.Connect(my_mesh_scoping)
op.inputs.force_averaging.Connect(my_force_averaging)
op.inputs.algorithm.Connect(my_algorithm)
my_field = op.outputs.field.GetData()

```

  
## Changelog

- Version 0.0.0: Initial release.