Re: [Pytables-users] Pytables-users Digest, Vol 78, Issue 6

2012-11-18 Thread Lukas Suh
2012. 11. 17. 오후 12:46에 님이 작성: > > Send Pytables-users mailing list submissions to > pytables-users@lists.sourceforge.net > > To subscribe or unsubscribe via the World Wide Web, visit > https://lists.sourceforge.net/lists/listinfo/pytables-users > or, via email, send a message with

Re: [Pytables-users] Pytables-users Digest, Vol 78, Issue 6

2012-11-18 Thread Lukas Suh
2012. 11. 17. 오후 12:46에 님이 작성: > Send Pytables-users mailing list submissions to > pytables-users@lists.sourceforge.net > > To subscribe or unsubscribe via the World Wide Web, visit > https://lists.sourceforge.net/lists/listinfo/pytables-users > or, via email, send a message with s

Re: [Pytables-users] Histogramming 1000x too slow

2012-11-18 Thread Stephen Simmons
Back in 2006/07 I wrote an optimized histogram function for pytables + numpy. The main steps were: - Read in chunksize-sections of the pytables array so the HDF5 library just needs to decompress full blocks of data from disk into memory; eliminates subsequent copying/merging of partial data blo

Re: [Pytables-users] Histogramming 1000x too slow

2012-11-18 Thread Jon Wilson
Hi Stephen, This sounds fantastic, and exactly what i'm looking for. I'll take a closer look tomorrow. Jon Stephen Simmons wrote: >Back in 2006/07 I wrote an optimized histogram function for pytables + >numpy. The main steps were: - Read in chunksize-sections of the >pytables >array so the HD

Re: [Pytables-users] Histogramming 1000x too slow

2012-11-18 Thread David Worrall
Yes _please_ Stephen. It would be much appreciated. On 19/11/2012, at 8:12 AM, Jon Wilson wrote: > Hi Stephen, > This sounds fantastic, and exactly what i'm looking for. I'll take a closer > look tomorrow. > Jon > > Stephen Simmons wrote: > Back in 2006/07 I wrote an optimized histogram functi

[Pytables-users] Query on VLArray list expansion

2012-11-18 Thread Shyam
Hi I am trying a simple example of creating a VLArray as follows filename = "test.h5" h5file = openFile(filename, mode = "w", title = "Test file") group = h5file.createGroup("/", 'detector', 'Detector information') vlarray2 = h5file.createVLArray(group, 'vlarray2',StringAtom(itemsize=20), "r