.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "examples/jupyter_plotting_demo.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_examples_jupyter_plotting_demo.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_examples_jupyter_plotting_demo.py:


Jupyter notebook plotting
==========================

This example demonstrates the Jupyter notebook support for deck.plot().
The plotting system automatically detects Jupyter environments and adjusts
the PyVista backend accordingly.

When running in a Jupyter notebook, PyDyna automatically uses the 'static'
backend for screenshots, or you can explicitly choose 'server' for
interactive widgets. Outside Jupyter, it uses the standard PyVista behavior.

See GitHub issue #601 for details.

.. GENERATED FROM PYTHON SOURCE LINES 39-42

Perform required imports
~~~~~~~~~~~~~~~~~~~~~~~~
Import required packages.

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.. code-block:: Python


    import pandas as pd

    from ansys.dyna.core import Deck, keywords as kwd








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Create a simple deck
~~~~~~~~~~~~~~~~~~~~
Create a deck with 8 nodes forming a hex element.

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.. code-block:: Python


    deck = Deck()

    # Create 8 nodes for a hex element
    node_kwd = kwd.Node()
    nodes_data = pd.DataFrame(
        {
            "nid": [1, 2, 3, 4, 5, 6, 7, 8],
            "x": [0.0, 1.0, 1.0, 0.0, 0.0, 1.0, 1.0, 0.0],
            "y": [0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0, 1.0],
            "z": [0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0],
        }
    )
    node_kwd.nodes = nodes_data
    deck.append(node_kwd)

    # Create a solid element
    solid_kwd = kwd.ElementSolid()
    elements_data = pd.DataFrame(
        {"eid": [1], "pid": [1], "n1": [1], "n2": [2], "n3": [3], "n4": [4], "n5": [5], "n6": [6], "n7": [7], "n8": [8]}
    )
    solid_kwd.elements = elements_data
    deck.append(solid_kwd)

    # Add a section
    section_kwd = kwd.SectionSolid(secid=1)
    section_kwd.elform = 1
    deck.append(section_kwd)

    print(f"Deck created with {len(deck)} keywords")





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    Deck created with 3 keywords




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Plot with auto-detection
~~~~~~~~~~~~~~~~~~~~~~~~~
In Jupyter notebooks, this automatically uses the 'static' backend.
Outside Jupyter, it uses the default PyVista behavior.

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.. code-block:: Python


    # deck.plot()








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Plot with explicit backend
~~~~~~~~~~~~~~~~~~~~~~~~~~~
You can explicitly specify the backend:
- 'static': screenshot (fast, works everywhere)
- 'server': interactive widget (requires jupyter-server-proxy)
- 'trame': trame-based viewer (experimental)
- None: disable Jupyter handling, use standard PyVista

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.. code-block:: Python


    # deck.plot(jupyter_backend='static')








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Plot with custom styling
~~~~~~~~~~~~~~~~~~~~~~~~~
All standard PyVista plot options work with Jupyter:

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.. code-block:: Python


    # deck.plot(jupyter_backend='static', color='lightblue', show_edges=True)








.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.016 seconds)


.. _sphx_glr_download_examples_jupyter_plotting_demo.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: jupyter_plotting_demo.ipynb <jupyter_plotting_demo.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: jupyter_plotting_demo.py <jupyter_plotting_demo.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: jupyter_plotting_demo.zip <jupyter_plotting_demo.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_