utility:convert to field
Last update: 31.07.2026Version: 0.0.0
Description
Creates a scalar or vector field from numeric data. Converts scalar values or vectors into a DPF field with specified properties.
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 | double_or_vector_double | double, vector<double> |
|
| 1 | unit | string |
|
| 2 | location | string |
|
| 3 | num_entities | int32 |
|
| 4 | num_components | int32 |
|
| 5 | scoping | scoping |
double_or_vector_double (Pin 0)
- Required: No
- Expected type(s):
double,vector<double>
Data of the field. Default is 0-field. Specify a double to create a field with uniform values, or a vector for explicit data per entity
unit (Pin 1)
- Required: No
- Expected type(s):
string
Unit symbol (m, Hz, kg, ...). Default is dimensionless
location (Pin 2)
- Required: No
- Expected type(s):
string
Location of the field: 'Nodal', 'ElementalNodal', 'Elemental', etc. Default is 'numeric'
num_entities (Pin 3)
- Required: No
- Expected type(s):
int32
Number of field entities. Default is 1, or the size of the scoping if provided
num_components (Pin 4)
- Required: No
- Expected type(s):
int32
Number of field components per entity. Default is 1 for scalar, >1 for vector
scoping (Pin 5)
- Required: No
- Expected type(s):
scoping
Scoping defining entity IDs and locations. If provided, overrides num_entities
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
Generated field with specified data and properties
Configurations
This operator supports configuration options that modify its behavior.
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: utility
Plugin: core
Scripting name: scalars_to_field
Full name: utility.scalars_to_field
Internal name: fieldify
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("fieldify"); // operator instantiation
op.connect(0, my_double_or_vector_double);
op.connect(1, my_unit);
op.connect(2, my_location);
op.connect(3, my_num_entities);
op.connect(4, my_num_components);
op.connect(5, my_scoping);
ansys::dpf::Field my_field = op.getOutput<ansys::dpf::Field>(0);
CPython
import ansys.dpf.core as dpf
op = dpf.operators.utility.scalars_to_field() # operator instantiation
op.inputs.double_or_vector_double.connect(my_double_or_vector_double)
op.inputs.unit.connect(my_unit)
op.inputs.location.connect(my_location)
op.inputs.num_entities.connect(my_num_entities)
op.inputs.num_components.connect(my_num_components)
op.inputs.scoping.connect(my_scoping)
my_field = op.outputs.field()
IPython
import mech_dpf
import Ans.DataProcessing as dpf
op = dpf.operators.utility.scalars_to_field() # operator instantiation
op.inputs.double_or_vector_double.Connect(my_double_or_vector_double)
op.inputs.unit.Connect(my_unit)
op.inputs.location.Connect(my_location)
op.inputs.num_entities.Connect(my_num_entities)
op.inputs.num_components.Connect(my_num_components)
op.inputs.scoping.Connect(my_scoping)
my_field = op.outputs.field.GetData()
Changelog
- Version 0.0.0: Initial release.