byteswap() looks like a general endian solution for ndarrays:
https://stackoverflow.com/questions/49578507/fast-way-to-reverse-float32-endianness-in-binary-file
numpy.memmap(infile, dtype=numpy.int32).byteswap().tofile(outfile)
numpy.memmap(infile, dtype=numpy.int32).byteswap(inplace=True).flush()
Bill
--
Phobrain.com
On 2023-01-01 08:31, Jerome Kieffer wrote:
> On Sun, 01 Jan 2023 05:31:55 -0800
> Bill Ross <bross_phobr...@sonic.net> wrote:
>
> Thanks!
>
> Java is known to be big-endian ... your CPU is probably little-endian.
> $ lscpu | grep -i endian
> Byte Order: Little Endian
>
> Numpy has the tools to represent an array of double BE.
> Is there a lower-level ndarray method that writes an array that could be
> used this way?
One example:
numpy.array([1,2,3], dtype=">d").tobytes()
b'?\xf0\x00\x00\x00\x00\x00\x00@\x00\x00\x00\x00\x00\x00\x00@\x08\x00\x00\x00\x00\x00\x00'
numpy.array([1,2,3], dtype="<d").tobytes()
b'\x00\x00\x00\x00\x00\x00\xf0?\x00\x00\x00\x00\x00\x00\x00@\x00\x00\x00\x00\x00\x00\x08@'
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