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 a in 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

Note: This function returns an array with at least one-dimension (1-d) so it will not preserve 0-d arrays.

numpy.asfarray numpy.asarray_chkfinite