numpy.asfortranarray
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numpy.asfortranarray(a, dtype=None)[source] -
Return an array (ndim >= 1) laid out in Fortran order in memory.
- Parameters
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aarray_like -
Input array.
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dtypestr or dtype object, optional -
By default, the data-type is inferred from the input data.
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- Returns
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outndarray -
The input
ain Fortran, or column-major, order.
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See also
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ascontiguousarray -
Convert input to a contiguous (C order) array.
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asanyarray -
Convert input to an ndarray with either row or column-major memory order.
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require -
Return an ndarray that satisfies requirements.
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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.
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Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.18/reference/generated/numpy.asfortranarray.html