numpy.matrix.flatten#
method
- 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
- 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.
Examples
>>> m = np.matrix([[1,2], [3,4]]) >>> m.flatten() matrix([[1, 2, 3, 4]]) >>> m.flatten('F') matrix([[1, 3, 2, 4]])