ansys.dpf.core.operators.result.cyclic_expansion#

class ansys.dpf.core.operators.result.cyclic_expansion(time_scoping=None, mesh_scoping=None, fields_container=None, harmonic_index=None, bool_rotate_to_global=None, map_size_scoping_out=None, normalization_factor=None, merge_stages=None, cyclic_support=None, sectors_to_expand=None, phi=None, config=None, server=None)#

Bases: ansys.dpf.core.dpf_operator.Operator

Expand cyclic results from a fieldsContainer for given sets, sectors and scoping (optionals).

Parameters:

  • time_scoping (Scoping, optional)

  • mesh_scoping (ScopingsContainer or Scoping, optional)

  • fields_container (FieldsContainer) – field container with the base and duplicate sectors

  • harmonic_index (int, optional)

  • bool_rotate_to_global (bool, optional) – default is true

  • map_size_scoping_out (optional) – map provider by scoping adapter

  • normalization_factor (float, optional)

  • merge_stages (bool, optional)

  • cyclic_support (CyclicSupport)

  • sectors_to_expand (Scoping or ScopingsContainer, optional) – sectors to expand (start at 0), for multistage: use scopings container with ‘stage’ label.

  • phi (float, optional) – angle phi in degrees (default value 0.0)

Returns:

fields_container – FieldsContainer filled in

Return type:

FieldsContainer

Examples

>>> from ansys.dpf import core as dpf

>>> # Instantiate operator
>>> op = dpf.operators.result.cyclic_expansion()

>>> # Make input connections
>>> my_time_scoping = dpf.Scoping()
>>> op.inputs.time_scoping.connect(my_time_scoping)
>>> my_mesh_scoping = dpf.ScopingsContainer()
>>> op.inputs.mesh_scoping.connect(my_mesh_scoping)
>>> my_fields_container = dpf.FieldsContainer()
>>> op.inputs.fields_container.connect(my_fields_container)
>>> my_harmonic_index = int()
>>> op.inputs.harmonic_index.connect(my_harmonic_index)
>>> my_bool_rotate_to_global = bool()
>>> op.inputs.bool_rotate_to_global.connect(my_bool_rotate_to_global)
>>> my_map_size_scoping_out = dpf.()
>>> op.inputs.map_size_scoping_out.connect(my_map_size_scoping_out)
>>> my_normalization_factor = float()
>>> op.inputs.normalization_factor.connect(my_normalization_factor)
>>> my_merge_stages = bool()
>>> op.inputs.merge_stages.connect(my_merge_stages)
>>> my_cyclic_support = dpf.CyclicSupport()
>>> op.inputs.cyclic_support.connect(my_cyclic_support)
>>> my_sectors_to_expand = dpf.Scoping()
>>> op.inputs.sectors_to_expand.connect(my_sectors_to_expand)
>>> my_phi = float()
>>> op.inputs.phi.connect(my_phi)

>>> # Instantiate operator and connect inputs in one line
>>> op = dpf.operators.result.cyclic_expansion(
...     time_scoping=my_time_scoping,
...     mesh_scoping=my_mesh_scoping,
...     fields_container=my_fields_container,
...     harmonic_index=my_harmonic_index,
...     bool_rotate_to_global=my_bool_rotate_to_global,
...     map_size_scoping_out=my_map_size_scoping_out,
...     normalization_factor=my_normalization_factor,
...     merge_stages=my_merge_stages,
...     cyclic_support=my_cyclic_support,
...     sectors_to_expand=my_sectors_to_expand,
...     phi=my_phi,
... )

>>> # Get output data
>>> result_fields_container = op.outputs.fields_container()
_inputs#
_outputs#
static _spec() → ansys.dpf.core.operators.specification.Specification#
static 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

property inputs: InputsCyclicExpansion#

Enables to connect inputs to the operator

Returns:

An instance of InputsCyclicExpansion.

Return type:

inputs

property outputs: OutputsCyclicExpansion#

Enables to get outputs of the operator by evaluating it

Returns:

An instance of OutputsCyclicExpansion.

Return type:

outputs