On this page
numpy.asfortranarray
- numpy.asfortranarray(a, dtype=None)[source]
- 
    Return an array (ndim >= 1) laid out in Fortran order in memory. - Parameters
- 
      - aarray_like
- 
        Input array. 
- dtypestr or dtype object, optional
- 
        By default, the data-type is inferred from the input data. 
 
- Returns
- 
      - outndarray
- 
        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'] TrueNote: This function returns an array with at least one-dimension (1-d) so it will not preserve 0-d arrays. 
© 2005–2020 NumPy Developers
Licensed under the 3-clause BSD License.
 https://numpy.org/doc/1.19/reference/generated/numpy.asfortranarray.html