MapdlMath.damp(dtype=<class 'numpy.float64'>, fname='file.full', asarray=False)

Load the damping matrix from the full file.

dtypenumpy.dtype, optional

Numpy data type to store the vector as. Defaults to np.double.

fnamestr, optional

Filename to read the matrix from.

asarraybool, optional

Return a scipy array rather than an APDLMath matrix.

scipy.sparse.csr.csr_matrix or AnsMat

Scipy sparse matrix or APDLMath matrix depending on asarray.


>>> ans_mat = mapdl.math.damp()
>>> ans_mat
APDLMATH Matrix 60 x 60

Convert to a scipy array

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