{
    "info": {
        "author": "Alex Kaszynski",
        "author_email": "akascap@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Information Analysis"
        ],
        "description": "pyansys\n=======\n.. image:: https://img.shields.io/pypi/v/pyansys.svg\n    :target: https://pypi.org/project/pyansys/\n\n.. image:: https://dev.azure.com/femorph/pyansys/_apis/build/status/akaszynski.pyansys?branchName=master\n    :target: https://dev.azure.com/femorph/pyansys/_build/latest?definitionId=8&branchName=master\n\n\nThis Python module allows you to:\n - Interactively control an instance of ANSYS v14.5 + using Python on Linux, >=17.0 on Windows.\n - Extract data directly from binary ANSYS v14.5+ files and to display or animate them.\n - Rapidly read in binary result ``(.rst)``, binary mass and stiffness ``(.full)``, and ASCII block archive ``(.cdb)`` files.\n\nSee the `Documentation <https://akaszynski.github.io/pyansys/>`_ page for more details.\n\n\nInstallation\n------------\nInstallation through pip::\n\n    pip install pyansys\n\nYou can also visit `GitHub <https://github.com/akaszynski/pyansys>`_ to download the source.\n\n\nQuick Examples\n--------------\nMany of the following examples are built in and can be run from the build-in examples module.  For a quick demo, run:\n\n.. code:: python\n\n    from pyansys import examples\n    examples.run_all()\n\n\nControlling ANSYS\n~~~~~~~~~~~~~~~~~\nCreate an instance of ANSYS and interactively send commands to it.  This is a direct interface and does not rely on writing a temporary script file.  You can also generate plots using ``matplotlib``.\n\n.. code:: python\n\n    import os\n    import pyansys\n\n    path = os.getcwd()\n    ansys = pyansys.Mapdl(run_location=path, interactive_plotting=True)\n\n    # create a square area using keypoints\n    ansys.prep7()\n    ansys.k(1, 0, 0, 0)\n    ansys.k(2, 1, 0, 0)\n    ansys.k(3, 1, 1, 0)\n    ansys.k(4, 0, 1, 0)    \n    ansys.l(1, 2)\n    ansys.l(2, 3)\n    ansys.l(3, 4)\n    ansys.l(4, 1)\n    ansys.al(1, 2, 3, 4)\n    ansys.aplot()\n    ansys.save()\n    ansys.exit()\n\n.. figure:: https://github.com/akaszynski/pyansys/raw/master/docs/images/aplot.png\n    :width: 500pt\n\n\nLoading and Plotting an ANSYS Archive File\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nANSYS archive files containing solid elements (both legacy and current), can be loaded using Archive and then converted to a vtk object.\n\n\n.. code:: python\n\n    import pyansys\n    from pyansys import examples\n\n    # Sample *.cdb\n    filename = examples.hexarchivefile\n\n    # Read ansys archive file\n    archive = pyansys.Archive(filename)\n\n    # Print raw data from cdb\n    for key in archive.raw:\n       print(\"%s : %s\" % (key, archive.raw[key]))\n\n    # Create a vtk unstructured grid from the raw data and plot it\n    grid = archive.parse_vtk(force_linear=True)\n    grid.plot(color='w', show_edges=True)\n\n    # write this as a vtk xml file \n    grid.save('hex.vtu')\n\n    # or as a vtk binary\n    grid.save('hex.vtk')\n\n.. figure:: https://github.com/akaszynski/pyansys/raw/master/docs/images/hexbeam.png\n    :width: 500pt\n\nYou can then load this vtk file using ``pyvista`` or another program that uses VTK.\n\n.. code:: python\n\n    # Load this from vtk\n    import pyvista as pv\n    grid = pv.UnstructuredGrid('hex.vtu')\n    grid.plot()\n\n\nLoading the Result File\n~~~~~~~~~~~~~~~~~~~~~~~\nThis example reads in binary results from a modal analysis of a beam from ANSYS.\n\n.. code:: python\n\n    # Load the reader from pyansys\n    import pyansys\n    from pyansys import examples\n\n    # Sample result file\n    rstfile = examples.rstfile\n\n    # Create result object by loading the result file\n    result = pyansys.read_binary(rstfile)\n\n    # Beam natural frequencies\n    freqs = result.time_values\n\n.. code:: python\n\n    >>> print(freq)\n    [ 7366.49503969  7366.49503969 11504.89523664 17285.70459456\n      17285.70459457 20137.19299035]\n\n    # Get the 1st bending mode shape.  Results are ordered based on the sorted \n    # node numbering.  Note that results are zero indexed\n    nnum, disp = result.nodal_solution(0)\n\n.. code:: python\n\n    >>> print(disp)\n    [[ 2.89623914e+01 -2.82480489e+01 -3.09226692e-01]\n     [ 2.89489249e+01 -2.82342416e+01  2.47536161e+01]\n     [ 2.89177130e+01 -2.82745126e+01  6.05151053e+00]\n     [ 2.88715048e+01 -2.82764960e+01  1.22913304e+01]\n     [ 2.89221536e+01 -2.82479511e+01  1.84965333e+01]\n     [ 2.89623914e+01 -2.82480489e+01  3.09226692e-01]\n     ...\n\n\nPlotting Nodal Results\n~~~~~~~~~~~~~~~~~~~~~~\nAs the geometry of the model is contained within the result file, you can plot the result without having to load any additional geometry.  Below, displacement for the first mode of the modal analysis beam is plotted using ``VTK``.\n\n.. code:: python\n\n    # Plot the displacement of Mode 0 in the x direction\n    result.plot_nodal_solution(0, 'x', label='Displacement')\n\n\n.. figure:: https://github.com/akaszynski/pyansys/raw/master/docs/images/hexbeam_disp.png\n    :width: 500pt\n\n\nResults can be plotted non-interactively and screenshots saved by setting up the camera and saving the result.  This can help with the visualization and post-processing of a batch result.\n\nFirst, get the camera position from an interactive plot:\n\n.. code:: python\n\n    >>> cpos = result.plot_nodal_solution(0)\n    >>> print(cpos)\n    [(5.2722879880979345, 4.308737919176047, 10.467694436036483),\n     (0.5, 0.5, 2.5),\n     (-0.2565529433509593, 0.9227952809887077, -0.28745339908049733)]\n\nThen generate the plot:\n\n.. code:: python\n\n    result.plot_nodal_solution(0, 'x', label='Displacement', cpos=cpos,\n                             screenshot='hexbeam_disp.png',\n                             window_size=[800, 600], interactive=False)\n\nStress can be plotted as well using the below code.  The nodal stress is computed in the same manner that ANSYS uses by to determine the stress at each node by averaging the stress evaluated at that node for all attached elements.  For now, only component stresses can be displayed.\n\n.. code:: python\n\n    # Display node averaged stress in x direction for result 6\n    result.plot_nodal_stress(5, 'Sx')\n\n.. figure:: https://github.com/akaszynski/pyansys/raw/master/docs/images/beam_stress.png\n    :width: 500pt\n\n\nNodal stress can also be generated non-interactively with:\n\n.. code:: python\n\n    result.plot_nodal_stress(5, 'Sx', cpos=cpos, screenshot=beam_stress.png,\n                           window_size=[800, 600], interactive=False)\n\n\nAnimating a Modal Solution\n~~~~~~~~~~~~~~~~~~~~~~~~~~\nMode shapes from a modal analysis can be animated using ``animate_nodal_solution``:\n\n.. code:: python\n\n    result.animate_nodal_solution(0)\n\nIf you wish to save the animation to a file, specify the movie_filename and animate it with:\n\n.. code:: python\n\n    result.animate_nodal_solution(0, movie_filename='/tmp/movie.mp4', cpos=cpos)\n\n.. figure:: https://github.com/akaszynski/pyansys/raw/master/docs/images/beam_mode_shape.gif\n    :width: 500pt\n\n\nReading a Full File\n-------------------\nThis example reads in the mass and stiffness matrices associated with the above example.\n\n.. code:: python\n\n    # Load the reader from pyansys\n    import pyansys\n    from scipy import sparse\n\n    # load the full file\n    fobj = pyansys.FullReader('file.full')\n    dofref, k, m = fobj.load_km()  # returns upper triangle only\n\n    # make k, m full, symmetric matrices\n    k += sparse.triu(k, 1).T\n    m += sparse.triu(m, 1).T\n\nIf you have ``scipy`` installed, you can solve the eigensystem for its natural frequencies and mode shapes.\n\n.. code:: python\n\n    from scipy.sparse import linalg\n\n    # condition the k matrix\n    # to avoid getting the \"Factor is exactly singular\" error\n    k += sparse.diags(np.random.random(k.shape[0])/1E20, shape=k.shape)\n\n    # Solve\n    w, v = linalg.eigsh(k, k=20, M=m, sigma=10000)\n    # System natural frequencies\n    f = (np.real(w))**0.5/(2*np.pi)\n\n    print('First four natural frequencies')\n    for i in range(4):\n        print '{:.3f} Hz'.format(f[i])\n\n.. code::\n\n    First four natural frequencies\n    1283.200 Hz\n    1283.200 Hz\n    5781.975 Hz\n    6919.399 Hz\n\n\nLicense and Acknowledgments\n---------------------------\n``pyansys`` is licensed under the MIT license.\n\nThis module, ``pyansys`` makes no commercial claim over ANSYS whatsoever.  This tool extends the functionality of ``ANSYS`` by adding a python interface in both file interface as well as interactive scripting without changing the core behavior or license of the original software.  The use of the interactive APDL control of ``pyansys`` requires a legally licensed local copy of ANSYS.\n\n\n",
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