SciPy

numpy.matrix.getA1

matrix.getA1()[source]

Return self as a flattened ndarray.

Equivalent to np.asarray(x).ravel()

Parameters:
None
Returns:
ret : ndarray

self, 1-D, as an ndarray

Examples

>>> x = np.matrix(np.arange(12).reshape((3,4))); x
matrix([[ 0,  1,  2,  3],
        [ 4,  5,  6,  7],
        [ 8,  9, 10, 11]])
>>> x.getA1()
array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11])

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