ResultInfo#

enum ansys.dpf.core.result_info.physics_types(value)#

'Physics_types' enumerates the different types of physics that an analysis can have.

Valid values are as follows:

mechanical = <physics_types.mechanical: 0>#

thermal = <physics_types.thermal: 1>#

magnetic = <physics_types.magnetic: 2>#

electric = <physics_types.electric: 3>#

unknown_physics = <physics_types.unknown_physics: 4>#

enum ansys.dpf.core.result_info.analysis_types(value)#

'Analysis_types' enumerates the different types of analysis.

Valid values are as follows:

static = <analysis_types.static: 0>#

buckling = <analysis_types.buckling: 1>#

modal = <analysis_types.modal: 2>#

harmonic = <analysis_types.harmonic: 3>#

cms = <analysis_types.cms: 4>#

transient = <analysis_types.transient: 5>#

msup = <analysis_types.msup: 6>#

substruct = <analysis_types.substruct: 7>#

spectrum = <analysis_types.spectrum: 8>#

unknown_analysis = <analysis_types.unknown_analysis: 9>#

class ansys.dpf.core.result_info.ResultInfo(result_info, server=None)#

Represents the result information.

This class describes the metadata of the analysis and the available results.

Parameters:

result_info (ctypes.c_void_p, ansys.grpc.dpf.result_info_pb2.ResultInfo message) –

serveransys.dpf.core.server, optional: Server with the channel connected to the remote or local instance. The default is None, in which case an attempt is made to use the global server.

Examples

Explore the result info from the model

>>> from ansys.dpf import core as dpf
>>> from ansys.dpf.core import examples
>>> transient = examples.download_transient_result()
>>> model = dpf.Model(transient)
>>> result_info = model.metadata.result_info # printable result_info

>>> result_info.available_results[0].name
'displacement'
>>> result_info.available_results[0].homogeneity
'length'

property analysis_type#

Retrieves the analysis type.

Returns:: analysis_type – Type of the analysis, such as static or transient.
Return type:: str

Examples

>>> from ansys.dpf import core as dpf
>>> from ansys.dpf.core import examples
>>> transient = examples.download_transient_result()
>>> model = dpf.Model(transient)
>>> result_info = model.metadata.result_info
>>> result_info.analysis_type
'static'

property physics_type#

Type of the physics.

Examples

Mechanical result

>>> from ansys.dpf import core as dpf
>>> from ansys.dpf.core import examples
>>> transient = examples.download_transient_result()
>>> model = dpf.Model(transient)
>>> result_info = model.metadata.result_info
>>> result_info.physics_type
'mechanical'

property n_results#: Number of results.

property unit_system#: Unit system of the result.

property cyclic_symmetry_type#

Cyclic symmetry type of the result.

Returns:: cyclic_symmetry_type – Cyclic symmetry type of the results. Options are "single_stage", "multi_stage", and "not_cyclic".
Return type:: str

property has_cyclic#

Check the result file for cyclic symmetry.

Returns:: has_cyclic – Returns True if the result file has cyclic symmetry or is multistage.
Return type:: bool

property cyclic_support#

Cyclic expansion information for a result file that has cyclic symmetry or is multistage.

Returns:: cyclic_support
Return type:: CyclicSupport

Examples

Get a cyclic support from a model.

>>> from ansys.dpf.core import Model
>>> from ansys.dpf.core import examples
>>> multi_stage = examples.download_multi_stage_cyclic_result()
>>> model = Model(multi_stage)
>>> result_info = model.metadata.result_info
>>> cyc_support = result_info.cyclic_support

property unit_system_name#: Name of the unit system.

property solver_version#: Version of the solver.

property solver_date#: Date of the solver.

property solver_time#: Time of the solver.

property user_name#: Name of the user.

property job_name#: Name of the job.

property product_name#: Name of the product.

property main_title#: Main title.

property available_results#

Available results, containing all information about results present in the result files.

Returns:: available_result
Return type:: list[AvailableResult]

property available_qualifier_labels#

Returns a list of labels defining result qualifiers

Return type:: list[str]

Notes

Available with server’s version starting at 5.0.

qualifier_label_support(label)#

Returns what supports an available qualifier label.

Parameters:: label (str) –
Return type:: Support

Notes

Available with server’s version starting at 5.0.