numpy.matrix.flatten

method

matrix.flatten(order='C')

Return a flattened copy of the matrix.

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

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:

ymatrix

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

也參考

ravel

Return a flattened array.

flat

A 1-D flat iterator over the matrix.

Examples

Try it in your browser!

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

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