asfortranarray(a, dtype=None, *, like=None)

Parameters

a : array_like

Input array.

dtype : str or dtype object, optional

By default, the data-type is inferred from the input data.

like : array_like

Reference object to allow the creation of arrays which are not NumPy arrays. If an array-like passed in as like supports the __array_function__ protocol, the result will be defined by it. In this case, it ensures the creation of an array object compatible with that passed in via this argument.

versionadded

Returns

out : ndarray

The input a in Fortran, or column-major, order.

Return an array (ndim >= 1) laid out in Fortran order in memory.

See Also

asanyarray

Convert input to an ndarray with either row or column-major memory order.

ascontiguousarray

Convert input to a contiguous (C order) array.

ndarray.flags

Information about the memory layout of the array.

require

Return an ndarray that satisfies requirements.

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.

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.linalg.blas.find_best_blas_type numpy.ascontiguousarray numpy.asarray numpy.asarray_chkfinite numpy.require numpy.asanyarray

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