# xorbits.numpy.isfortran#

xorbits.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This function is obsolete and, because of changes due to relaxed stride checking, its return value for the same array may differ for versions of NumPy 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 – Returns True if the array is Fortran contiguous but not C contiguous.

Return type

bool

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
```

Warning

This method has not been implemented yet. Xorbits will try to execute it with numpy.

This docstring was copied from numpy.