assemble_scalars_to_matrices_fc

class ansys.dpf.core.operators.utility.assemble_scalars_to_matrices_fc.assemble_scalars_to_matrices_fc(xx=None, yy=None, zz=None, xy=None, yz=None, xz=None, yx=None, zy=None, zx=None, symmetrical=None, config=None, server=None)

Bases: ansys.dpf.core.dpf_operator.Operator

Take nine scalar fields container and assemble them as a 3x3 matrix fields. If the ‘symmetrical’ input is set to true, only six field containers are required (xx, yy, zz, xy, xz and yz).

Inputs

xx: FieldsContainer, optional yy: FieldsContainer, optional zz: FieldsContainer, optional xy: FieldsContainer, optional yz: FieldsContainer, optional xz: FieldsContainer, optional yx: FieldsContainer, optional zy: FieldsContainer, optional zx: FieldsContainer, optional symmetrical: bool, optional

Outputs

fields_container: FieldsContainer

Examples

>>> from ansys.dpf import core as dpf

>>> # Instantiate operator
>>> op = dpf.operators.utility.assemble_scalars_to_matrices_fc()

>>> # Make input connections
>>> my_xx = dpf.FieldsContainer()
>>> op.inputs.xx.connect(my_xx)
>>> my_yy = dpf.FieldsContainer()
>>> op.inputs.yy.connect(my_yy)
>>> my_zz = dpf.FieldsContainer()
>>> op.inputs.zz.connect(my_zz)
>>> my_xy = dpf.FieldsContainer()
>>> op.inputs.xy.connect(my_xy)
>>> my_yz = dpf.FieldsContainer()
>>> op.inputs.yz.connect(my_yz)
>>> my_xz = dpf.FieldsContainer()
>>> op.inputs.xz.connect(my_xz)
>>> my_yx = dpf.FieldsContainer()
>>> op.inputs.yx.connect(my_yx)
>>> my_zy = dpf.FieldsContainer()
>>> op.inputs.zy.connect(my_zy)
>>> my_zx = dpf.FieldsContainer()
>>> op.inputs.zx.connect(my_zx)
>>> my_symmetrical = bool()
>>> op.inputs.symmetrical.connect(my_symmetrical)

>>> # Instantiate operator and connect inputs in one line
>>> op = dpf.operators.utility.assemble_scalars_to_matrices_fc(
...     xx=my_xx,
...     yy=my_yy,
...     zz=my_zz,
...     xy=my_xy,
...     yz=my_yz,
...     xz=my_xz,
...     yx=my_yx,
...     zy=my_zy,
...     zx=my_zx,
...     symmetrical=my_symmetrical,
... )

>>> # Get output data
>>> result_fields_container = op.outputs.fields_container()

Overview

Methods

connect	Connect an input on the operator using a pin number.
connect_operator_as_input	Connect an operator as an input on a pin.
get_output	Retrieve the output of the operator on the pin number.
run	Evaluate this operator.
eval	Evaluate this operator.

Properties

inputs	Enables to connect inputs to the operator
outputs	Enables to get outputs of the operator by evaluating it
progress_bar	Enable or disable progress bar display when requesting the operator’s output.
config	Copy of the operator’s current configuration.
id	Retrieve the unique identifier of the operator.
specification	Returns the Specification (or documentation) of this Operator.
changelog	Return the changelog of this operator.
version	Return the current version of the operator.

Attributes

name

Static methods

default_config	Returns the default config of the operator.
operator_specification	Documents an Operator with its description (what the Operator does),its inputs and outputs and some properties.

Special methods

__del__	Delete this instance.
__str__	Describe the entity.
__add__	Add two fields or two fields containers.
__sub__	Subtract two fields or two fields containers.
__pow__	Raise each element of a field or a fields container to power 2.
__mul__	Multiply two fields or two fields containers.
__truediv__	Perform division with another operator or a scalar.

Import detail

from ansys.dpf.core.operators.utility.assemble_scalars_to_matrices_fc import assemble_scalars_to_matrices_fc

Property detail

property assemble_scalars_to_matrices_fc.inputs: InputsAssembleScalarsToMatricesFc

Enables to connect inputs to the operator

Returns:

An instance of InputsAssembleScalarsToMatricesFc.

Return type:

inputs

property assemble_scalars_to_matrices_fc.outputs: OutputsAssembleScalarsToMatricesFc

Enables to get outputs of the operator by evaluating it

Returns:

An instance of OutputsAssembleScalarsToMatricesFc.

Return type:

outputs

property assemble_scalars_to_matrices_fc.progress_bar: bool

Enable or disable progress bar display when requesting the operator’s output.

With this property, the user can choose to print a progress bar when the operator’s output is requested, default is False

property assemble_scalars_to_matrices_fc.config

Copy of the operator’s current configuration.

You can modify the copy of the configuration and then use operator.config = new_config or instantiate an operator with the new configuration as a parameter.

For information on an operator’s options, see the documentation for that operator.

Returns:

Copy of the operator’s current configuration.

Return type:

ansys.dpf.core.config.Config

Examples

Modify the copy of an operator’s configuration and set it as current config of the operator.

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.math.add()
>>> config_add = op.config
>>> config_add.set_work_by_index_option(True)
>>> op.config = config_add

property assemble_scalars_to_matrices_fc.id: int

Retrieve the unique identifier of the operator.

This property returns the unique ID associated with the operator. This property is lazily initialized.

Returns:

The unique identifier of the operator.

Return type:

int

Notes

Property available with server’s version starting at 10.0.

property assemble_scalars_to_matrices_fc.specification

Returns the Specification (or documentation) of this Operator.

Return type:

Specification

property assemble_scalars_to_matrices_fc.changelog: ansys.dpf.core.changelog.Changelog

Return the changelog of this operator.

Requires DPF 11.0 (2026 R1) or above.

Returns:

Changelog of the operator.

Return type:

changelog

property assemble_scalars_to_matrices_fc.version: packaging.version.Version

Return the current version of the operator.

Requires DPF 11.0 (2026 R1) or above.

Attribute detail

assemble_scalars_to_matrices_fc.name = None

Method detail

static assemble_scalars_to_matrices_fc.default_config(server: ansys.dpf.core.server_types.AnyServerType = None) → ansys.dpf.core.config.Config

Returns the default config of the operator.

This config can then be changed to the user needs and be used to instantiate the operator. The Configuration allows to customize how the operation will be processed by the operator.

Parameters:

server – Server with channel connected to the remote or local instance. When None, attempts to use the global server.

Returns:

A new Config instance equivalent to the default config for this operator.

Return type:

config

assemble_scalars_to_matrices_fc.connect(pin, inpt, pin_out=0)

Connect an input on the operator using a pin number.

Parameters:

• pin (int) – Number of the input pin.

• inpt (str, int, double, bool, list[int], list[float], Field, FieldsContainer, Scoping,)

• ScopingsContainer – Operator, os.PathLike Object to connect to.

• MeshedRegion – Operator, os.PathLike Object to connect to.

• MeshesContainer – Operator, os.PathLike Object to connect to.

• DataSources – Operator, os.PathLike Object to connect to.

• CyclicSupport – Operator, os.PathLike Object to connect to.

• dict – Operator, os.PathLike Object to connect to.

• Outputs – Operator, os.PathLike Object to connect to.

• pin_out (int, optional) – If the input is an operator, the output pin of the input operator. The default is 0.

Examples

Compute the minimum of displacement by chaining the "U" and "min_max_fc" operators.

>>> from ansys.dpf import core as dpf
>>> from ansys.dpf.core import examples
>>> data_src = dpf.DataSources(examples.find_multishells_rst())
>>> disp_op = dpf.operators.result.displacement()
>>> disp_op.inputs.data_sources(data_src)
>>> max_fc_op = dpf.operators.min_max.min_max_fc()
>>> max_fc_op.inputs.connect(disp_op.outputs)
>>> max_field = max_fc_op.outputs.field_max()
>>> max_field.data
DPFArray([[0.59428386, 0.00201751, 0.0006032 ]]...

assemble_scalars_to_matrices_fc.connect_operator_as_input(pin, op)

Connect an operator as an input on a pin.

Parameters:

• pin (int) – Number of the output pin. The default is 0.

• op (ansys.dpf.core.dpf_operator.Operator) – Requested type of the output. The default is None.

assemble_scalars_to_matrices_fc.get_output(pin=0, output_type=None)

Retrieve the output of the operator on the pin number.

To activate the progress bar for server version higher or equal to 3.0, use my_op.progress_bar=True

Parameters:

• pin (int, optional) – Number of the output pin. The default is 0.

• output_type (ansys.dpf.core.common.types, type, optional) – Requested type of the output. The default is None.

Returns:

Output of the operator.

Return type:

type

assemble_scalars_to_matrices_fc.__del__()

Delete this instance.

assemble_scalars_to_matrices_fc.__str__()

Describe the entity.

Returns:

Description of the entity.

Return type:

str

assemble_scalars_to_matrices_fc.run()

Evaluate this operator.

assemble_scalars_to_matrices_fc.eval(pin=None)

Evaluate this operator.

Parameters:

pin (int) – Number of the output pin. The default is None.

Returns:

output – Returns the first output of the operator by default and the output of a given pin when specified. Or, it only evaluates the operator without output.

Return type:

FieldsContainer, Field, MeshedRegion, Scoping

Examples

Use the eval method.

>>> from ansys.dpf import core as dpf
>>> import ansys.dpf.core.operators.math as math
>>> from ansys.dpf.core import examples
>>> data_src = dpf.DataSources(examples.find_multishells_rst())
>>> disp_op = dpf.operators.result.displacement()
>>> disp_op.inputs.data_sources(data_src)
>>> normfc = math.norm_fc(disp_op).eval()

assemble_scalars_to_matrices_fc.__add__(fields_b)

Add two fields or two fields containers.

Returns:

add

Return type:

operators.math.add_fc

assemble_scalars_to_matrices_fc.__sub__(fields_b)

Subtract two fields or two fields containers.

Returns:

minus

Return type:

operators.math.minus_fc

assemble_scalars_to_matrices_fc.__pow__(value)

Raise each element of a field or a fields container to power 2.

assemble_scalars_to_matrices_fc.__mul__(value)

Multiply two fields or two fields containers.

Returns:

mul

Return type:

operators.math.generalized_inner_product_fc

static assemble_scalars_to_matrices_fc.operator_specification(op_name, server=None)

Documents an Operator with its description (what the Operator does),its inputs and outputs and some properties.

assemble_scalars_to_matrices_fc.__truediv__(inpt)

Perform division with another operator or a scalar.

This method allows the use of the division operator (/) between an Operator instance and either another Operator or a scalar value (float).