skbio.stats.distance.SymmetricMatrix.as_redundant

SymmetricMatrix.as_redundant()

Return a redundant form deep copy of the matrix.

Returns:

SymmetricMatrix

A new matrix object with the same data stored in redundant form.

See also

redundant_form

condensed_form

as_condensed

Notes

This method always returns a new matrix object, even if the matrix is already in redundant form. The new matrix object is a deep copy of the original matrix.

Examples

Convert from condensed form to redundant form:

>>> from skbio.stats.distance import SymmetricMatrix
>>> sm_condensed = SymmetricMatrix([1, 2, 3],
...                                ids=['a', 'b', 'c'],
...                                condensed=True)
>>> sm_condensed.data
array([ 1., 2., 3.])
>>> sm_square = sm_condensed.as_redundant()
>>> sm_square.data
array([[ 0., 1., 2.],
       [ 1., 0., 3.],
       [ 2., 3., 0.]])