mass#

MapdlMath.mass(dtype=<class 'numpy.float64'>, name=None, fname='file.full', asarray=False)[source]#

Load the mass matrix from a full file.

Parameters:

dtypenumpy.dtype, optional: Numpy data type to store the vector as. Only applicable if asarray=True, otherwise the returned matrix contains double float numbers. Defaults to np.double
namestr, optional: APDLMath matrix name. Optional and defaults to a random name.
fnamestr, optional: Filename to read the matrix from.
asarraybool, optional: Return a scipy array rather than an APDLMath matrix.

Returns:

scipy.sparse.csr.csr_matrix or AnsMat: Scipy sparse matrix or APDLMath matrix depending on asarray.

Examples

>>> mass = mapdl.math.mass()
>>> mass
APDLMATH Matrix 60 x 60

Convert to a scipy array

>>> mat = mass.asarray()
>>> mat
<60x60 sparse matrix of type '<class 'numpy.float64'>'
    with 1734 stored elements in Compressed Sparse Row format>