Hi all I’m hoping a proper SPDlib ninja can answer this one: It’s straightforward to extract an LVIS file to numpy arrays - but then, what is the best approach for repacking as SPD using pylidar?
I’m a bit confounded by the docs - if there’s an example around for a pylidar function something like: pylidar.stuffintospdfile(‘group’, ‘variable’, NP_array) …that would be great! The alternative is to hack up an SPD-like structure in h5py and populate it - but I feel that it might miss compression/efficiency tricks already built into the SPD format. Thanks! Adam > On 12 Jan 2017, at 9:34 am, tim larson <timlarson...@gmail.com> wrote: > > I have waveform data already in an HDF5 format but not compatible right now > with SPDLib. The attached image outlines our existing structure. > > If anybody is interested in helping me convert this to a compatible structure > for SPDlib, I would be able to offer you a consulting fee $$. Please contact > me. Need this ASAP > > timlarson...@gmail.com > > Regards, > Tim Larson > <Screen Shot 2017-01-11 at 5.29.05 > PM.png>------------------------------------------------------------------------------ > Developer Access Program for Intel Xeon Phi Processors > Access to Intel Xeon Phi processor-based developer platforms. > With one year of Intel Parallel Studio XE. > Training and support from Colfax. > Order your platform today. > http://sdm.link/xeonphi_______________________________________________ > spdlib-develop mailing list > spdlib-develop@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/spdlib-develop ------------------------------------------------------------------------------ Check out the vibrant tech community on one of the world's most engaging tech sites, SlashDot.org! http://sdm.link/slashdot _______________________________________________ spdlib-develop mailing list spdlib-develop@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/spdlib-develop
