numpy.asfortranarray
- 
numpy.asfortranarray(a, dtype=None)[source]
- 
Return an array laid out in Fortran order in memory. Parameters: a : array_like Input array. dtype : str or dtype object, optional By default, the data-type is inferred from the input data. Returns: out : ndarray The input ain Fortran, or column-major, order.See also - ascontiguousarray
- Convert input to a contiguous (C order) array.
- asanyarray
- Convert input to an ndarray with either row or column-major memory order.
- require
- Return an ndarray that satisfies requirements.
- ndarray.flags
- Information about the memory layout of the array.
 Examples>>> x = np.arange(6).reshape(2,3) >>> y = np.asfortranarray(x) >>> x.flags['F_CONTIGUOUS'] False >>> y.flags['F_CONTIGUOUS'] True 
    © 2008–2016 NumPy Developers
Licensed under the NumPy License.
    https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.asfortranarray.html