.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "examples/01-Detailed-Examples/03-explore-result-data-harmonic.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_examples_01-Detailed-Examples_03-explore-result-data-harmonic.py: .. _ref_data_data_frame_example: Explore the data of a result with the DataFrame - Harmonic Simulation ===================================================================== In this script a harmonic simulation is used as an example to show how to interact with the post DataFrame: object returned by each result. .. GENERATED FROM PYTHON SOURCE LINES 11-15 Perform required imports ------------------------ Perform required imports. # This example uses a supplied file that you can get by importing the DPF ``examples`` package. .. GENERATED FROM PYTHON SOURCE LINES 15-19 .. code-block:: Python from ansys.dpf import post from ansys.dpf.post import examples .. GENERATED FROM PYTHON SOURCE LINES 20-26 Get ``Simulation`` object ------------------------- Get the ``Simulation`` object that allows access to the result. The ``Simulation`` object must be instantiated with the path for the result file. For example, ``"C:/Users/user/my_result.rst"`` on Windows or ``"/home/user/my_result.rst"`` on Linux. .. GENERATED FROM PYTHON SOURCE LINES 26-34 .. code-block:: Python example_path = examples.download_harmonic_clamped_pipe() # to automatically detect the simulation type, use: simulation = post.load_simulation(example_path) # to enable auto-completion, use the equivalent: simulation = post.HarmonicMechanicalSimulation(example_path) .. GENERATED FROM PYTHON SOURCE LINES 35-37 Extract displacement over all sets as an example ------------------------------------------------ .. GENERATED FROM PYTHON SOURCE LINES 37-42 .. code-block:: Python displacement = simulation.displacement(all_sets=True) print(displacement) type(displacement) .. rst-class:: sphx-glr-script-out .. code-block:: none results U ... set_ids 1 2 3 ... complex 0 1 0 1 0 1 ... node_ids components ... 3548 X 9.3929e+01 0.0000e+00 -5.2330e+01 0.0000e+00 -1.1203e+01 0.0000e+00 ... Y -4.3312e+02 0.0000e+00 1.8810e+02 0.0000e+00 6.8681e+01 0.0000e+00 ... Z 9.6172e-01 0.0000e+00 -1.3049e+01 0.0000e+00 2.3508e+01 0.0000e+00 ... 3656 X 1.0516e+02 0.0000e+00 -5.8461e+01 0.0000e+00 -1.4575e+01 0.0000e+00 ... Y -4.6059e+02 0.0000e+00 2.0315e+02 0.0000e+00 7.4665e+01 0.0000e+00 ... Z 9.4728e-01 0.0000e+00 -1.3728e+01 0.0000e+00 2.5207e+01 0.0000e+00 ... ... ... ... ... ... ... ... ... ... .. GENERATED FROM PYTHON SOURCE LINES 43-45 Loop over all columns and rows to understand the DataFrame and get the values for each index. .. GENERATED FROM PYTHON SOURCE LINES 45-55 .. code-block:: Python # columns for column in displacement.columns: print(f'Column with label "{column.name}" and available values {column.values}.') # rows for row in displacement.index: print(f'Row with label "{row.name}" and available values {row.values}.') .. rst-class:: sphx-glr-script-out .. code-block:: none Column with label "results" and available values ['U']. Column with label "set_ids" and available values [1, 2, 3, 4, 5]. Column with label "complex" and available values [0, 1]. Row with label "node_ids" and available values [3548 3656 4099 ... 3260 9942 9943]. Row with label "components" and available values ['X', 'Y', 'Z']. .. GENERATED FROM PYTHON SOURCE LINES 56-60 Make selections in this DataFrame --------------------------------- All the labels and values displayed above can be used to select sub parts of the DataFrame. .. GENERATED FROM PYTHON SOURCE LINES 60-73 .. code-block:: Python all_real_values = displacement.select(complex=0) print(all_real_values) all_imaginary_values = displacement.select(complex=1) print(all_imaginary_values) sets_values = displacement.select(set_ids=[1, 2]) print(sets_values) node_values = displacement.select(node_ids=[3548]) print(node_values) .. rst-class:: sphx-glr-script-out .. code-block:: none results U set_ids 1 2 3 4 5 complex 0 node_ids components 3548 X 9.3929e+01 -5.2330e+01 -1.1203e+01 -1.1510e+01 -1.4457e+01 Y -4.3312e+02 1.8810e+02 6.8681e+01 2.2900e+01 -6.6765e+00 Z 9.6172e-01 -1.3049e+01 2.3508e+01 1.4745e+00 -5.9568e+00 3656 X 1.0516e+02 -5.8461e+01 -1.4575e+01 -1.3822e+01 -1.7782e+01 Y -4.6059e+02 2.0315e+02 7.4665e+01 2.7874e+01 1.5223e+00 Z 9.4728e-01 -1.3728e+01 2.5207e+01 1.4487e+00 -7.3947e+00 ... ... ... ... ... ... ... results U set_ids 1 2 3 4 5 complex 1 node_ids components 3548 X 0.0000e+00 0.0000e+00 0.0000e+00 0.0000e+00 0.0000e+00 Y 0.0000e+00 0.0000e+00 0.0000e+00 0.0000e+00 0.0000e+00 Z 0.0000e+00 0.0000e+00 0.0000e+00 0.0000e+00 0.0000e+00 3656 X 0.0000e+00 0.0000e+00 0.0000e+00 0.0000e+00 0.0000e+00 Y 0.0000e+00 0.0000e+00 0.0000e+00 0.0000e+00 0.0000e+00 Z 0.0000e+00 0.0000e+00 0.0000e+00 0.0000e+00 0.0000e+00 ... ... ... ... ... ... ... results U set_ids 1 2 complex 0 1 0 1 node_ids components 3548 X 9.3929e+01 0.0000e+00 -5.2330e+01 0.0000e+00 Y -4.3312e+02 0.0000e+00 1.8810e+02 0.0000e+00 Z 9.6172e-01 0.0000e+00 -1.3049e+01 0.0000e+00 3656 X 1.0516e+02 0.0000e+00 -5.8461e+01 0.0000e+00 Y -4.6059e+02 0.0000e+00 2.0315e+02 0.0000e+00 Z 9.4728e-01 0.0000e+00 -1.3728e+01 0.0000e+00 ... ... ... ... ... ... results U ... set_ids 1 2 3 ... complex 0 1 0 1 0 1 ... node_ids components ... 3548 X 9.3929e+01 0.0000e+00 -5.2330e+01 0.0000e+00 -1.1203e+01 0.0000e+00 ... Y -4.3312e+02 0.0000e+00 1.8810e+02 0.0000e+00 6.8681e+01 0.0000e+00 ... Z 9.6172e-01 0.0000e+00 -1.3049e+01 0.0000e+00 2.3508e+01 0.0000e+00 ... .. GENERATED FROM PYTHON SOURCE LINES 74-78 Make selections by index in this DataFrame ------------------------------------------ To select values by index for each label, the iselect method can be used. The index to ID order follows what is returned by the values on index method used above. .. GENERATED FROM PYTHON SOURCE LINES 78-85 .. code-block:: Python sets_values = displacement.iselect(set_ids=0) print(sets_values) node_values = displacement.iselect(node_ids=[0]) print(node_values) .. rst-class:: sphx-glr-script-out .. code-block:: none results U set_ids 1 complex 0 1 node_ids components 3548 X 9.3929e+01 0.0000e+00 Y -4.3312e+02 0.0000e+00 Z 9.6172e-01 0.0000e+00 3656 X 1.0516e+02 0.0000e+00 Y -4.6059e+02 0.0000e+00 Z 9.4728e-01 0.0000e+00 ... ... ... ... results U ... set_ids 1 2 3 ... complex 0 1 0 1 0 1 ... node_ids components ... 3548 X 9.3929e+01 0.0000e+00 -5.2330e+01 0.0000e+00 -1.1203e+01 0.0000e+00 ... Y -4.3312e+02 0.0000e+00 1.8810e+02 0.0000e+00 6.8681e+01 0.0000e+00 ... Z 9.6172e-01 0.0000e+00 -1.3049e+01 0.0000e+00 2.3508e+01 0.0000e+00 ... .. GENERATED FROM PYTHON SOURCE LINES 86-88 Make multi selections in this DataFrame --------------------------------------- .. GENERATED FROM PYTHON SOURCE LINES 88-94 .. code-block:: Python real_values_for_one_set_onde_node = displacement.select( node_ids=[3548], set_ids=1, complex=0 ) print(real_values_for_one_set_onde_node) .. rst-class:: sphx-glr-script-out .. code-block:: none results U set_ids 1 complex 0 node_ids components 3548 X 9.3929e+01 Y -4.3312e+02 Z 9.6172e-01 .. GENERATED FROM PYTHON SOURCE LINES 95-97 Make selections to plot the DataFrame ------------------------------------- .. GENERATED FROM PYTHON SOURCE LINES 97-99 .. code-block:: Python displacement.plot(set_ids=1, complex=0) .. image-sg:: /examples/01-Detailed-Examples/images/sphx_glr_03-explore-result-data-harmonic_001.png :alt: 03 explore result data harmonic :srcset: /examples/01-Detailed-Examples/images/sphx_glr_03-explore-result-data-harmonic_001.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.934 seconds) .. _sphx_glr_download_examples_01-Detailed-Examples_03-explore-result-data-harmonic.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: 03-explore-result-data-harmonic.ipynb <03-explore-result-data-harmonic.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 03-explore-result-data-harmonic.py <03-explore-result-data-harmonic.py>` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_