vtu_export#

Autogenerated DPF operator classes.

class ansys.dpf.core.operators.serialization.vtu_export.vtu_export(directory=None, base_name=None, mesh=None, fields1=None, fields2=None, write_mode=None, as_point_cloud=None, export_faces=None, mesh_properties=None, config=None, server=None)#

Export DPF data into vtu format.

Parameters:

  • directory (str) – Directory path

  • base_name (str, optional) – Vtu base file name, (default is file)

  • mesh (MeshedRegion) – Mesh

  • fields1 (Field or FieldsContainer or PropertyField) – Nodal, face, or elemental field, fields container (over time), or property field to export. when there is no support available in the exported mesh, that data is ignored.

  • fields2 (Field or FieldsContainer or PropertyField) – Nodal, face, or elemental field, fields container (over time), or property field to export. when there is no support available in the exported mesh, that data is ignored.

  • write_mode (str, optional) – Available are rawbinarycompressed, rawbinary, base64appended, base64inline, ascii, default is (rawbinarycompressed)

  • as_point_cloud (bool, optional) – Whether to export the mesh as a point cloud. default is false.

  • export_faces (bool, optional) – Whether to also export faces as shell elements when the mesh contains cells. default is false.

  • mesh_properties (StringField, optional) – List of names of mesh properties to export.

Returns:

path – List of output vtu file path

Return type:

DataSources

Examples

>>> from ansys.dpf import core as dpf

>>> # Instantiate operator
>>> op = dpf.operators.serialization.vtu_export()

>>> # Make input connections
>>> my_directory = str()
>>> op.inputs.directory.connect(my_directory)
>>> my_base_name = str()
>>> op.inputs.base_name.connect(my_base_name)
>>> my_mesh = dpf.MeshedRegion()
>>> op.inputs.mesh.connect(my_mesh)
>>> my_fields1 = dpf.Field()
>>> op.inputs.fields1.connect(my_fields1)
>>> my_fields2 = dpf.Field()
>>> op.inputs.fields2.connect(my_fields2)
>>> my_write_mode = str()
>>> op.inputs.write_mode.connect(my_write_mode)
>>> my_as_point_cloud = bool()
>>> op.inputs.as_point_cloud.connect(my_as_point_cloud)
>>> my_export_faces = bool()
>>> op.inputs.export_faces.connect(my_export_faces)
>>> my_mesh_properties = dpf.StringField()
>>> op.inputs.mesh_properties.connect(my_mesh_properties)

>>> # Instantiate operator and connect inputs in one line
>>> op = dpf.operators.serialization.vtu_export(
...     directory=my_directory,
...     base_name=my_base_name,
...     mesh=my_mesh,
...     fields1=my_fields1,
...     fields2=my_fields2,
...     write_mode=my_write_mode,
...     as_point_cloud=my_as_point_cloud,
...     export_faces=my_export_faces,
...     mesh_properties=my_mesh_properties,
... )

>>> # Get output data
>>> result_path = op.outputs.path()
static default_config(server=None)#

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

property inputs#

Enables to connect inputs to the operator

Returns:

inputs

Return type:

InputsVtuExport

property outputs#

Enables to get outputs of the operator by evaluating it

Returns:

outputs

Return type:

OutputsVtuExport

property 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
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 ]]...
connect_operator_as_input(pin, op)#

Connects an operator as an input on a pin. :type pin: :param pin: Number of the output pin. The default is 0. :type pin: int :type op: :param op: Requested type of the output. The default is None. :type op: ansys.dpf.core.dpf_operator.Operator

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()
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

static operator_specification(op_name, server=None)#

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

property progress_bar: bool#

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

run()#

Evaluate this operator.

property specification#

Returns the Specification (or documentation) of this Operator

Return type:

Specification

class ansys.dpf.core.operators.serialization.vtu_export.InputsVtuExport(op: ansys.dpf.core.dpf_operator.Operator)#

Intermediate class used to connect user inputs to vtu_export operator.

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.serialization.vtu_export()
>>> my_directory = str()
>>> op.inputs.directory.connect(my_directory)
>>> my_base_name = str()
>>> op.inputs.base_name.connect(my_base_name)
>>> my_mesh = dpf.MeshedRegion()
>>> op.inputs.mesh.connect(my_mesh)
>>> my_fields1 = dpf.Field()
>>> op.inputs.fields1.connect(my_fields1)
>>> my_fields2 = dpf.Field()
>>> op.inputs.fields2.connect(my_fields2)
>>> my_write_mode = str()
>>> op.inputs.write_mode.connect(my_write_mode)
>>> my_as_point_cloud = bool()
>>> op.inputs.as_point_cloud.connect(my_as_point_cloud)
>>> my_export_faces = bool()
>>> op.inputs.export_faces.connect(my_export_faces)
>>> my_mesh_properties = dpf.StringField()
>>> op.inputs.mesh_properties.connect(my_mesh_properties)
property directory#

Allows to connect directory input to the operator.

Directory path

Parameters:

my_directory (str) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.serialization.vtu_export()
>>> op.inputs.directory.connect(my_directory)
>>> # or
>>> op.inputs.directory(my_directory)
property base_name#

Allows to connect base_name input to the operator.

Vtu base file name, (default is file)

Parameters:

my_base_name (str) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.serialization.vtu_export()
>>> op.inputs.base_name.connect(my_base_name)
>>> # or
>>> op.inputs.base_name(my_base_name)
property mesh#

Allows to connect mesh input to the operator.

Mesh

Parameters:

my_mesh (MeshedRegion) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.serialization.vtu_export()
>>> op.inputs.mesh.connect(my_mesh)
>>> # or
>>> op.inputs.mesh(my_mesh)
property fields1#

Allows to connect fields1 input to the operator.

Nodal, face, or elemental field, fields container (over time), or property field to export. when there is no support available in the exported mesh, that data is ignored.

Parameters:

my_fields1 (Field or FieldsContainer or PropertyField) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.serialization.vtu_export()
>>> op.inputs.fields1.connect(my_fields1)
>>> # or
>>> op.inputs.fields1(my_fields1)
property fields2#

Allows to connect fields2 input to the operator.

Nodal, face, or elemental field, fields container (over time), or property field to export. when there is no support available in the exported mesh, that data is ignored.

Parameters:

my_fields2 (Field or FieldsContainer or PropertyField) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.serialization.vtu_export()
>>> op.inputs.fields2.connect(my_fields2)
>>> # or
>>> op.inputs.fields2(my_fields2)
property write_mode#

Allows to connect write_mode input to the operator.

Available are rawbinarycompressed, rawbinary, base64appended, base64inline, ascii, default is (rawbinarycompressed)

Parameters:

my_write_mode (str) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.serialization.vtu_export()
>>> op.inputs.write_mode.connect(my_write_mode)
>>> # or
>>> op.inputs.write_mode(my_write_mode)
property as_point_cloud#

Allows to connect as_point_cloud input to the operator.

Whether to export the mesh as a point cloud. default is false.

Parameters:

my_as_point_cloud (bool) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.serialization.vtu_export()
>>> op.inputs.as_point_cloud.connect(my_as_point_cloud)
>>> # or
>>> op.inputs.as_point_cloud(my_as_point_cloud)
property export_faces#

Allows to connect export_faces input to the operator.

Whether to also export faces as shell elements when the mesh contains cells. default is false.

Parameters:

my_export_faces (bool) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.serialization.vtu_export()
>>> op.inputs.export_faces.connect(my_export_faces)
>>> # or
>>> op.inputs.export_faces(my_export_faces)
property mesh_properties#

Allows to connect mesh_properties input to the operator.

List of names of mesh properties to export.

Parameters:

my_mesh_properties (StringField) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.serialization.vtu_export()
>>> op.inputs.mesh_properties.connect(my_mesh_properties)
>>> # or
>>> op.inputs.mesh_properties(my_mesh_properties)
connect(inpt)#

Connect any input (an entity or an operator output) to any input pin of this operator. Searches for the input type corresponding to the output.

Parameters:

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

  • ScopingsContainer (E501) – Input of the operator.

  • MeshedRegion (E501) – Input of the operator.

  • MeshesContainer (E501) – Input of the operator.

  • DataSources (E501) – Input of the operator.

  • CyclicSupport (E501) – Input of the operator.

  • Outputs (E501) – Input of the operator.

  • noqa (os.PathLike #) – Input of the operator.

class ansys.dpf.core.operators.serialization.vtu_export.OutputsVtuExport(op: ansys.dpf.core.dpf_operator.Operator)#

Intermediate class used to get outputs from vtu_export operator.

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.serialization.vtu_export()
>>> # Connect inputs : op.inputs. ...
>>> result_path = op.outputs.path()
property path#

Allows to get path output of the operator

Returns:

my_path

Return type:

DataSources

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.serialization.vtu_export()
>>> # Connect inputs : op.inputs. ...
>>> result_path = op.outputs.path()