# numpy.isfortran

numpy.isfortran(a)

  Check if the array is Fortran contiguous but not C contiguous.

  This function is obsolete and, because of changes due to relaxed stride checking, its return value for the same array may differ for versions of NumPy >= 1.10.0 and previous versions. If you only want to check if an array is Fortran contiguous use `a.flags.f_contiguous` instead.

  Parameters
    a ndarray

      Input array.

  Returns
    isfortran bool

      Returns True if the array is Fortran contiguous but not C contiguous.

  Examples

  np.array allows to specify whether the array is written in C-contiguous order (last index varies the fastest), or FORTRAN-contiguous order in memory (first index varies the fastest).

      >>> a = np.array([[1, 2, 3], [4, 5, 6]], order='C')
      >>> a
      array([[1, 2, 3],
             [4, 5, 6]])
      >>> np.isfortran(a)
      False

      >>> b = np.array([[1, 2, 3], [4, 5, 6]], order='F')
      >>> b
      array([[1, 2, 3],
             [4, 5, 6]])
      >>> np.isfortran(b)
      True

  The transpose of a C-ordered array is a FORTRAN-ordered array.

      >>> a = np.array([[1, 2, 3], [4, 5, 6]], order='C')
      >>> a
      array([[1, 2, 3],
             [4, 5, 6]])
      >>> np.isfortran(a)
      False
      >>> b = a.T
      >>> b
      array([[1, 4],
             [2, 5],
             [3, 6]])
      >>> np.isfortran(b)
      True

  C-ordered arrays evaluate as False even if they are also FORTRAN-ordered.

      >>> np.isfortran(np.array([1, 2], order='F'))
      False

previous

numpy.iscomplexobj

next

numpy.isreal