matrix.flatten()

matrix.flatten(order='C') [source]

Return a flattened copy of the matrix.

All N elements of the matrix are placed into a single row.

Parameters:

Parameters:	order : {?C?, ?F?, ?A?, ?K?}, optional ?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 `m` is Fortran contiguous in memory, row-major order otherwise. ?K? means to flatten `m` in the order the elements occur in memory. The default is ?C?.
Returns:	y : matrix A copy of the matrix, flattened to a `(1, N)` matrix where `N` is the number of elements in the original matrix.

order : {?C?, ?F?, ?A?, ?K?}, optional

?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 m is Fortran contiguous in memory, row-major order otherwise. ?K? means to flatten m in the order the elements occur in memory. The default is ?C?.

Returns:

y : matrix

A copy of the matrix, flattened to a (1, N) matrix where N is the number of elements in the original matrix.

Examples

>>> m = np.matrix([[1,2], [3,4]])
>>> m.flatten()
matrix([[1, 2, 3, 4]])
>>> m.flatten('F')
matrix([[1, 3, 2, 4]])

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.matrix.flatten.html

doc_NumPy

2025-01-10 15:47:30

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