Getting back to this,
byteswap() looks like a general endian solution for ndarrays:
https://stackoverflow.com/questions/49578507/fast-way-to-reverse-float32-endianness-in-binary-file
The examples there specify float32 format for opening a file, but that
seemed to scramble the header that was o
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).flus
On Sun, 01 Jan 2023 05:31:55 -0800
Bill Ross 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
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?
Bill
--
P
On Sat, 31 Dec 2022 23:45:54 -0800
Bill Ross wrote:
> How best to write a 1D ndarray as a block of doubles, for reading in
> java as double[] or a stream of double?
>
> Maybe the performance of simple looping over doubles in python.write()
> and java.read() is fine, but maybe there are represen
