mxnet.np.ravel

ravel(x)

Return a contiguous flattened array. A 1-D array, containing the elements of the input, is returned. A copy is made only if needed.

Parameters

  • x (ndarray) – Input array. The elements in x are read in row-major, C-style order and packed as a 1-D array.

  • order (C, optional) – Only support row-major, C-style order.

Returns

  • y (ndarray) – y is an array of the same subtype as x, with shape (x.size,). Note that matrices are special cased for backward compatibility, if x is a matrix, then y is a 1-D ndarray.

  • .. note:: – This function differs from the original numpy.arange in the following aspects:

    • Only support row-major, C-style order.

Examples

It is equivalent to reshape(x, -1).

>>> x = np.array([[1, 2, 3], [4, 5, 6]])
>>> print(np.ravel(x))
[1. 2. 3. 4. 5. 6.]

>>> print(x.reshape(-1))
[1. 2. 3. 4. 5. 6.]

>>> print(np.ravel(x.T))
[1. 4. 2. 5. 3. 6.]