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.
- dtype
stror dtype object, optional By default, the data-type is inferred from the input data.
- Returns
- out
ndarray The input a in Fortran, or column-major, order.
- out
See also
ascontiguousarrayConvert input to a contiguous (C order) array.
asanyarrayConvert input to an ndarray with either row or column-major memory order.
requireReturn an ndarray that satisfies requirements.
ndarray.flagsInformation 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.