numpy.matrix.ravel¶

matrix.
ravel
(order='C')[source]¶ Return a flattened matrix.
Refer to
numpy.ravel
for more documentation.Parameters: order : {‘C’, ‘F’, ‘A’, ‘K’}, optional
The elements of m are read using this index order. ‘C’ means to index the elements in Clike order, with the last axis index changing fastest, back to the first axis index changing slowest. ‘F’ means to index the elements in Fortranlike index order, with the first index changing fastest, and the last index changing slowest. Note that the ‘C’ and ‘F’ options take no account of the memory layout of the underlying array, and only refer to the order of axis indexing. ‘A’ means to read the elements in Fortranlike index order if m is Fortran contiguous in memory, Clike order otherwise. ‘K’ means to read the elements in the order they occur in memory, except for reversing the data when strides are negative. By default, ‘C’ index order is used.
Returns: ret : matrix
Return the matrix flattened to shape (1, N) where N is the number of elements in the original matrix. A copy is made only if necessary.
See also
matrix.flatten
 returns a similar output matrix but always a copy
matrix.flat
 a flat iterator on the array.
numpy.ravel
 related function which returns an ndarray