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update the get_mesh_from_result_file.rst to the tutorials guidelines
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.. _tutorials_get_mesh_from_result_file:
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.. _ref_tutorials_get_mesh_from_result_file:
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=============================
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Get a mesh from a result file
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=============================
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:bdg-mapdl:`MAPDL` :bdg-lsdyna:`LSDYNA` :bdg-fluent:`Fluent` :bdg-cfx:`CFX`
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.. |Field| replace:: :class:`Field<ansys.dpf.core.field.Field>`
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.. |FieldsContainer| replace:: :class:`FieldsContainer<ansys.dpf.core.fields_container.FieldsContainer>`
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.. |MeshedRegion| replace:: :class:`MeshedRegion <ansys.dpf.core.meshed_region.MeshedRegion>`
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.. |Model| replace:: :class:`Model <ansys.dpf.core.model.Model>`
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.. |DataSources| replace:: :class:`Model <ansys.dpf.core.data_sources.DataSources>`
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.. include:: ../../../links_and_refs.rst
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.. |mesh_provider| replace:: :class:`mesh_provider <ansys.dpf.core.operators.mesh.mesh_provider.mesh_provider>`
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.. |Examples| replace:: :mod:`Examples<ansys.dpf.core.examples>`
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The mesh object in DPF is a |MeshedRegion|. You can obtain a |MeshedRegion| by creating your
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own by scratch or by getting it from a result file.
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This tutorial explains how to extract a mesh from a result file.
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This tutorial explains how to extract the models mesh from a result file.
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The mesh object in DPF is a |MeshedRegion|. You can obtain a |MeshedRegion| by creating your
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own from scratch or by getting it from a result file.
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:jupyter-download-script:`Download tutorial as Python script<get_mesh_from_result_file>`
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:jupyter-download-notebook:`Download tutorial as Jupyter notebook<get_mesh_from_result_file>`
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Import the result file
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----------------------
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Here we we will download result files available in our |Examples| package.
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For more information about how to import your result file in DPF check
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the :ref:`ref_tutorials_import_data` tutorial section.
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First, import a result file. For this tutorial, you can use one available in the |Examples| module.
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For more information about how to import your own result file in DPF, see the :ref:`ref_tutorials_import_data`
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tutorials section.
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You have to create a |DataSources| object so the data can be accessed by
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PyDPF-Core APIs.
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Here, we create a |DataSources| object so the data can be directly accessed by different
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PyDPF-Core APIs. This object manages paths to their files.
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.. tab-set::
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.. tab-item:: MAPDL
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.. jupyter-execute::
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# Import the ``ansys.dpf.core`` module, including examples files and the operators subpackage
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# Import the ``ansys.dpf.core`` module
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from ansys.dpf import core as dpf
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# Import the examples module
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from ansys.dpf.core import examples
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# Import the operators module
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from ansys.dpf.core import operators as ops
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# Define the result file
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# Define the result file path
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result_file_path_1 = examples.find_static_rst()
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# Create the DataSources object
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my_data_sources_1 = dpf.DataSources(result_path=result_file_path_1)
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ds_1 = dpf.DataSources(result_path=result_file_path_1)
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.. tab-item:: LSDYNA
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.. jupyter-execute::
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# Import the ``ansys.dpf.core`` module, including examples files and the operators subpackage
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# Import the ``ansys.dpf.core`` module
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from ansys.dpf import core as dpf
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# Import the examples module
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from ansys.dpf.core import examples
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# Import the operators module
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from ansys.dpf.core import operators as ops
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# Define the result file
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# Define the result file path
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result_file_path_2 = examples.download_d3plot_beam()
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# Create the DataSources object
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my_data_sources_2 = dpf.DataSources()
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my_data_sources_2.set_result_file_path(filepath=result_file_path_2[0], key="d3plot")
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my_data_sources_2.add_file_path(filepath=result_file_path_2[3], key="actunits")
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ds_2 = dpf.DataSources()
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ds_2.set_result_file_path(filepath=result_file_path_2[0], key="d3plot")
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ds_2.add_file_path(filepath=result_file_path_2[3], key="actunits")
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.. tab-item:: Fluent
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.. jupyter-execute::
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# Import the ``ansys.dpf.core`` module, including examples files and the operators subpackage
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# Import the ``ansys.dpf.core`` module
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from ansys.dpf import core as dpf
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# Import the examples module
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from ansys.dpf.core import examples
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# Import the operators module
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from ansys.dpf.core import operators as ops
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# Define the result file
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# Define the result file path
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result_file_path_3 = examples.download_fluent_axial_comp()["flprj"]
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# Create the DataSources object
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my_data_sources_3 = dpf.DataSources(result_path=result_file_path_3)
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ds_3 = dpf.DataSources(result_path=result_file_path_3)
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.. tab-item:: CFX
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.. jupyter-execute::
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# Import the ``ansys.dpf.core`` module, including examples files and the operators subpackage
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# Import the ``ansys.dpf.core`` module
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from ansys.dpf import core as dpf
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# Import the examples module
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from ansys.dpf.core import examples
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# Import the operators module
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from ansys.dpf.core import operators as ops
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# Define the result file
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# Define the result file path
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result_file_path_4 = examples.download_cfx_mixing_elbow()
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# Create the DataSources object
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my_data_sources_4 = dpf.DataSources(result_path=result_file_path_4)
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ds_4 = dpf.DataSources(result_path=result_file_path_4)
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Get the mesh from the result file
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---------------------------------
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You can Get the mesh from the result file by two methods:
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You can get the mesh from a result file by two methods:
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- :ref:`get_mesh_model`
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- :ref:`get_mesh_mesh_provider`
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- :ref:`Using the DPF Model <get_mesh_model>`;
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- :ref:`Using the mesh_provider operator <get_mesh_mesh_provider>`.
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.. note::
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The |Model| extracts a large amount of information by default (results, mesh and analysis data).
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A |Model| extracts a large amount of information by default (results, mesh and analysis data).
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If using this helper takes a long time for processing the code, mind using a |DataSources| object
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and instantiating operators directly with it. Check the ":ref:`get_mesh_mesh_provider`" for more
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information on how to get a mesh from a result file.
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and instantiating operators directly with it.
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.. _get_mesh_model:
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Using the DPF |Model|
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^^^^^^^^^^^^^^^^^^^^^
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The |Model| is a helper designed to give shortcuts to access the analysis results
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metadata, by opening a DataSources or a Streams, and to instanciate results provider
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for it.
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metadata and to instanciate results providers by opening a |DataSources| or a Streams.
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Get the |MeshedRegion| by instantiating a |Model| object and accessing its metadata:
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Get the |MeshedRegion| by instantiating a |Model| object and accessing its metadata.
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.. tab-set::
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.. tab-item:: MAPDL
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.. jupyter-execute::
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# Create the model
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my_model_1 = dpf.Model(data_sources=my_data_sources_1)
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# Create the Model
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model_1 = dpf.Model(data_sources=ds_1)
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# Get the mesh
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my_meshed_region_1 = my_model_1.metadata.meshed_region
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meshed_region_11 = model_1.metadata.meshed_region
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.. tab-item:: LSDYNA
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.. jupyter-execute::
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# Create the model
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my_model_2 = dpf.Model(data_sources=my_data_sources_2)
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# Create the Model
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model_2 = dpf.Model(data_sources=ds_2)
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# Get the mesh
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my_meshed_region_2 = my_model_2.metadata.meshed_region
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meshed_region_21 = model_2.metadata.meshed_region
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.. tab-item:: Fluent
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.. jupyter-execute::
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# Create the model
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my_model_3 = dpf.Model(data_sources=my_data_sources_3)
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# Create the Model
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model_3 = dpf.Model(data_sources=ds_3)
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# Get the mesh
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my_meshed_region_3 = my_model_3.metadata.meshed_region
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meshed_region_31 = model_3.metadata.meshed_region
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.. tab-item:: CFX
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.. jupyter-execute::
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# Create the model
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my_model_4 = dpf.Model(data_sources=my_data_sources_4)
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# Create the Model
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model_4 = dpf.Model(data_sources=ds_4)
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# Get the mesh
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my_meshed_region_4 = my_model_4.metadata.meshed_region
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meshed_region_41 = model_4.metadata.meshed_region
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Printing the |MeshedRegion| displays the mesh dimensions (number of nodes and elements,
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unit and elements type):
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Printing the |MeshedRegion| displays the mesh dimensions:
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- Number of nodes and elements;
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- Unit;
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- Elements type.
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.. tab-set::
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.. tab-item:: MAPDL
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.. jupyter-execute::
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# Print the meshed region
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print(my_meshed_region_1)
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# Print the MeshedRegion
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print(meshed_region_11)
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.. tab-item:: LSDYNA
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.. jupyter-execute::
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# Print the meshed region
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print(my_meshed_region_2)
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# Print the MeshedRegion
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print(meshed_region_21)
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.. tab-item:: Fluent
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.. jupyter-execute::
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# Print the meshed region
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print(my_meshed_region_3)
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# Print the MeshedRegion
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print(meshed_region_31)
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.. tab-item:: CFX
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.. jupyter-execute::
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# Print the meshed region
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print(my_meshed_region_4)
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# Print the MeshedRegion
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print(meshed_region_41)
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.. _get_mesh_mesh_provider:
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Using the |mesh_provider| operator
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Get the |MeshedRegion| by instantiating the |mesh_provider| operator and instantiating it with a
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|DataSources| object as an argument:
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Get the |MeshedRegion| by instantiating the |mesh_provider| operator with the
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|DataSources| object as an argument.
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.. tab-set::
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.. jupyter-execute::
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# Get the mesh with the mesh_provider operator
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my_meshed_region_12 = ops.mesh.mesh_provider(data_sources=my_data_sources_1).eval()
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meshed_region_12 = ops.mesh.mesh_provider(data_sources=ds_1).eval()
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.. tab-item:: LSDYNA
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.. jupyter-execute::
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# Get the mesh with the mesh_provider operator
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my_meshed_region_22 = ops.mesh.mesh_provider(data_sources=my_data_sources_2).eval()
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meshed_region_22 = ops.mesh.mesh_provider(data_sources=ds_2).eval()
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.. tab-item:: Fluent
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.. jupyter-execute::
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# Get the mesh with the mesh_provider operator
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my_meshed_region_32 = ops.mesh.mesh_provider(data_sources=my_data_sources_3).eval()
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meshed_region_32 = ops.mesh.mesh_provider(data_sources=ds_3).eval()
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.. tab-item:: CFX
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.. jupyter-execute::
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# Get the mesh with the mesh_provider operator
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my_meshed_region_42 = ops.mesh.mesh_provider(data_sources=my_data_sources_4).eval()
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meshed_region_42 = ops.mesh.mesh_provider(data_sources=ds_4).eval()
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Printing the |MeshedRegion| displays the mesh dimensions:
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Printing the |MeshedRegion| displays the mesh dimensions (number of nodes and elements,
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unit and elements type):
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- Number of nodes and elements;
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- Unit;
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- Elements type.
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.. tab-set::
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.. tab-item:: MAPDL
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.. jupyter-execute::
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# Print the meshed region
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print(my_meshed_region_12)
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# Print the MeshedRegion
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print(meshed_region_12)
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.. tab-item:: LSDYNA
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.. jupyter-execute::
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# Print the meshed region
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print(my_meshed_region_22)
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# Print the MeshedRegion
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print(meshed_region_22)
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.. tab-item:: Fluent
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.. jupyter-execute::
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# Print the meshed region
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print(my_meshed_region_32)
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# Print the MeshedRegion
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print(meshed_region_32)
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.. tab-item:: CFX
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.. jupyter-execute::
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# Print the meshed region
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print(my_meshed_region_42)
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# Print the MeshedRegion
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print(meshed_region_42)

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