Metadata-Version: 1.1
Name: pyansys
Version: 0.16
Summary: Pythonic interface to ANSYS binary files
Home-page: https://github.com/akaszynski/pyansys
Author: Alex Kaszynski
Author-email: akascap@gmail.com
License: MIT
Description: pyansys
        =======
        
        This Python module allows you to to extract data from ANSYS files and to display
        them if vtk is installed.  Currently supports result (.rst), mass and stiffness (.full), and block archive (.cdb) files.
        
        See the `Documentation <http://pyansys.readthedocs.io>`_ page for more details.
        
        
        Installation
        ------------
        
        Installation through pip::
        
            pip install pyansys
        
        You can also visit `GitHub <https://github.com/akaszynski/pyansys>`_ to download the source.
        
        Dependencies: ``numpy``, ``cython``, ``vtkInterface``. Optional: ``vtk``
        
        Minimum requirements are numpy to extract results from a results file. To
        convert the raw data to a VTK unstructured grid, VTK 5.0 or greater must
        be installed with Python bindings.
        
        
        Quick Examples
        --------------
        
        Loading and Plotting an ANSYS Archive File
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        ANSYS archive files containing solid elements (both legacy and current), can
        be loaded using ReadArchive and then converted to a vtk object.
        
        
        .. code:: python
        
            import pyansys
            from pyansys import examples
            
            # Sample *.cdb
            filename = examples.hexarchivefile
            
            # Read ansys archive file
            archive = pyansys.ReadArchive(filename)
            
            # Print raw data from cdb
            for key in archive.raw:
               print "%s : %s" % (key, archive.raw[key])
            
            # Create a vtk unstructured grid from the raw data and plot it
            archive.ParseFEM()
            archive.uGrid.Plot()
            
            # write this as a vtk xml file 
            archive.SaveAsVTK('hex.vtu')
        
        
        You can then load this vtk file using vtkInterface or another program that uses
        VTK.
            
        .. code:: python
        
            # Load this from vtk
            import vtkInterface
            grid = vtkInterface.LoadGrid('hex.vtk')
            grid.Plot()
        
        
        Loading and Plotting an ANSYS Result File
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        This example reads in binary results from a modal analysis of a beam from
        ANSYS.  This section of code does not rely on vtk and can be used solely with
        numpy installed.
        
        .. code:: python
        
            # Load the reader from pyansys
            import pyansys
            from pyansys import examples
            
            # Sample result file and associated archive file
            rstfile = examples.rstfile
            hexarchivefile = examples.hexarchivefile
            
            
            # Create result reader object by loading the result file
            result = pyansys.ResultReader(rstfile)
            
            # Get beam natural frequencies
            freqs = result.GetTimeValues()
            
            # Get the node numbers in this result file
            nnum = result.nnum
            
            # Get the 1st bending mode shape.  Nodes are ordered according to nnum.
            disp = result.GetResult(0, True) # uses 0 based indexing 
            print disp
            
        .. code::
        
            [[  0.           0.           0.        ]
             [  0.           0.           0.        ]
             [  0.           0.           0.        ]
             ..., 
             [ 21.75315943 -14.01733637  -2.34010126]
             [ 26.60384371 -17.14955041  -2.40527841]
             [ 31.50985156 -20.31588852  -2.4327859 ]]
        
        You can then load in the archive file associated with the result file and then 
        plots a nodal result.
        
        .. code:: python
            
            # Load CDB (necessary for display)
            result.LoadArchive(hexarchivefile)
            
            # Plot the displacement of Mode 0 in the x direction
            result.PlotNodalResult(0, 'x', label='Displacement')
        
        Reading a Full File
        -------------------
        This example reads in the mass and stiffness matrices associated with the above
        example.
        
        .. code:: python
        
            # Load the reader from pyansys
            import pyansys
            
            # Create result reader object and read in full file
            fobj = pyansys.FullReader('file.full')
            fobj.LoadFullKM()
            
        
        Data from the full file can now be accessed from the object.  If you have 
        ``scipy`` installed, you can construct a sparse matrix and solve it.
        
        .. code:: python
        
            import numpy as np
            from scipy.sparse import csc_matrix, linalg
            ndim = fobj.nref.size
            k = csc_matrix((fobj.kdata, (fobj.krows, fobj.kcols)), shape=(ndim, ndim))
            m = csc_matrix((fobj.mdata, (fobj.mrows, fobj.mcols)), shape=(ndim, ndim))
            
            # Solve
            w, v = linalg.eigsh(k, k=20, M=m, sigma=10000)
            # System natural frequencies
            f = (np.real(w))**0.5/(2*np.pi)
            
            print('First four natural frequencies')
            for i in range(4):
                print '{:.3f} Hz'.format(f[i])
            
        .. code::
        
            First four natural frequencies
            1283.200 Hz
            1283.200 Hz
            5781.975 Hz
            6919.399 Hz
        
        License
        -------
        
        pyansys is licensed under the MIT license.
        
        
        
Keywords: vtk ANSYS cdb full rst
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
