Metadata-Version: 1.1
Name: pyansys
Version: 0.11
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
        ========
        
        Python module to extract data from ANSYS binary files and to display
        them if vtk is installed.  Currently supports (*.rst) and (*.full) files.
        
        Installation
        ------------
        
        From PyPi directory
        
        ``pip install pyansys``
        
        or
        
        ``python setup.py install``
        
        License
        -------
        
        ANSYScdb is licensed under the MIT license. The full statement is
        provided in the file named ``LICENSE``.
        
        Dependencies
        ------------
        
        Required: ``numpy``, ``cython``, ``ANSYScdb``. 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.
        
        Tests
        -----
        
        Test installation with the following
        
        .. code:: python
        
            from pyansys import Tests
        
            # Load a hexahedral beam modal analysis result file
            Tests.Reader.Load()
        
            # Display first bending mode of that beam
            Tests.Reader.Display()
        
            # Load mass and stiffness matrices from the beam
            Tests.Reader.LoadKM()
        
        
        Example: Reading a Result File
        ------------------------------
        This example reads in binary results from a modal analysis from ANSYS.
        
        Example files can be found within the Tests folder in installation folder.
        
        .. code:: python
        
            # Load the reader from pyansys
            from pyansys import Reader
            
            # Create result reader object
            fobj = Reader.ResultReader('file.rst')
            
            # Get mode frequencies
            freqs = fobj.tvalues
            
            # Get the node numbers in this result file
            nnum = fobj.nnum
            
            # Get the mode shape at mode 7 (ANSYS result 7)
            disp = fobj.GetResult(6) # uses 0 based indexing 
            
            # Load CDB (necessary for display)
            fobj.LoadCDB('mesh.cdb')
            
            # Plot the displacement of Mode 41 in the x direction
            fobj.PlotDisplacement(40, 'x')
        
        
        Example: Reading a full file
        ----------------------------
        This example reads in mass and stiffness matrices associated with `Beam.cdb`
        
        Example files can be found within the Tests folder in installation folder.
        
        .. code:: python
        
            # Load the reader from pyansys
            from pyansys import Reader
            
            # Create result reader object
            fobj = Reader.FullReader('file.full')
            
            # Read in full file
            fobj.LoadFullKM()
        
            # Data from the full file can now be accessed from the object
            # Can be used construct a sparse matrix and solve it
        
            # 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.sqrt(real(w))/(2*np.pi)
        
            
        
        
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
