flatten(self, order='C')
All :None:None:`N` elements of the matrix are placed into a single row.
'C' means to flatten in row-major (C-style) order. 'F' means to flatten in column-major (Fortran-style) order. 'A' means to flatten in column-major order if :None:None:`m` is Fortran contiguous in memory, row-major order otherwise. 'K' means to flatten :None:None:`m` in the order the elements occur in memory. The default is 'C'.
A copy of the matrix, flattened to a :None:None:`(1, N)` matrix where :None:None:`N` is the number of elements in the original matrix.
Return a flattened copy of the matrix.
flat
A 1-D flat iterator over the matrix.
ravel
Return a flattened array.
>>> m = np.matrix([[1,2], [3,4]])
... m.flatten() matrix([[1, 2, 3, 4]])
>>> m.flatten('F') matrix([[1, 3, 2, 4]])See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.matrixlib.defmatrix.matrix.ravel
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