Model
#
- class ansys.dpf.core.model.Model(data_sources=None, server=None)#
Connects to a gRPC DPF server and allows access to a result using the DPF framework.
- Parameters:
data_sources (str, dpf.core.DataSources, os.PathLike) – Accepts either a
dpf.core.DataSources
instance or the path of the result file to open as an os.PathLike object or a str. The default isNone
.server (server.DPFServer, 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
>>> from ansys.dpf import core as dpf >>> from ansys.dpf.core import examples >>> transient = examples.download_transient_result() >>> model = dpf.Model(transient)
Overview#
Model metadata. |
|
Available results of the model. |
|
If true, the mesh is connected by default to operators supporting the mesh input. |
Return string representation of the model. |
Import detail#
from ansys.dpf.core.model import Model
Property detail#
- property Model.metadata#
Model metadata.
Includes:
data_sources
meshed_region
time_freq_support
result_info
mesh_provider
mesh_info
- Returns:
metadata
- Return type:
Examples
>>> from ansys.dpf.core import Model >>> from ansys.dpf.core import examples >>> transient = examples.download_transient_result() >>> model = Model(transient)
Get the meshed region of the model and extract the element numbers.
>>> meshed_region = model.metadata.meshed_region >>> meshed_region.elements.scoping.ids[2] np.int32(759)
Get the data sources of the model.
>>> ds = model.metadata.data_sources
Print the number of result sets.
>>> tf = model.metadata.time_freq_support >>> tf.n_sets 35
Get the unit system used in the analysis.
>>> rinfo = model.metadata.result_info >>> rinfo.unit_system 'MKS: m, kg, N, s, V, A, degC'
- property Model.results#
Available results of the model.
Organizes the results from DPF into accessible methods. All the available results are dynamically created depending on the model’s class:ansys.dpf.core.result_info.
- Returns:
results – Available results of the model if possible, else returns common results.
- Return type:
- all types of results
Result provider helper wrapping all types of provider available for a given result file.
- Type:
Examples
>>> from ansys.dpf import core as dpf >>> from ansys.dpf.core import examples >>> model = dpf.Model(examples.find_electric_therm()) >>> v = model.results.electric_potential >>> dissip = model.results.thermal_dissipation_energy
Examples
Extract the result object from a model.
>>> from ansys.dpf import core as dpf >>> from ansys.dpf.core import examples >>> model = dpf.Model(examples.find_simple_bar()) >>> results = model.results # printable object
Access the displacement at all times.
>>> from ansys.dpf.core import Model >>> from ansys.dpf.core import examples >>> transient = examples.download_transient_result() >>> model = Model(transient) >>> displacements = model.results.displacement.on_all_time_freqs.eval()
- property Model.mesh_by_default#
If true, the mesh is connected by default to operators supporting the mesh input.
Method detail#
- Model.operator(name)#
Operator associated with the data sources of this model.
- Parameters:
name (str) – Operator name, which must be valid.
Examples
Create a displacement operator.
>>> from ansys.dpf.core import Model >>> from ansys.dpf.core import examples >>> transient = examples.download_transient_result() >>> model = Model(transient) >>> disp = model.operator('U')
Create a sum operator.
>>> sum = model.operator('accumulate')
- Model.__str__()#
Return string representation of the model.
- Model.plot(color='w', show_edges=True, **kwargs)#
Plot the mesh of the model.
- Parameters:
color (str) – color of the mesh faces in PyVista format. The default is white with
"w"
.show_edges (bool) – Whether to show the mesh edges. The default is
True
.**kwargs (optional) – Additional keyword arguments for the plotter. For additional keyword arguments, see
help(pyvista.plot)
.
Examples
Plot the model using the default options.
>>> from ansys.dpf.core import Model >>> from ansys.dpf.core import examples >>> transient = examples.download_transient_result() >>> model = Model(transient) >>> model.plot()