Another option that occurred to me recently is to save all your columns
as unidimensional arrays (Array object, or, if you want compression, a
CArray or EArray), and then use them as components of a boolean
expression using the class `tables.Expr`. For example, if a, b and c
are unidimensional
On 3/27/12 2:20 AM, Alvaro Tejero Cantero wrote:
>>> (but how to grow it in columns without deleting&recreating?)
>> You can't (at least on cheap way). Maybe you may want to create
>> additional tables and grouping them in terms of the columns you are
>> going to need for your queries.
> Sorry
Hi,
I came across the "Million Song Dataset" https://github.com/tb2332/MSongsDB
It uses PyTables. Their descriptors perhaps connect better to certain
people than a particle detector ;)
https://github.com/tb2332/MSongsDB/blob/master/PythonSrc/hdf5_descriptors.py
-á.
A. The problem seems rather that you have not compiled/installed
the szip compressor, or that the library cannot be found for some
reason. Please double check if your homebrew installation of HDF5 is
sane. If not, my advice is to ask the HDF5 users' list directly.
Francesc
On 3/27/12 10
Hey Francesc
Hm, seems that I've forgotten the actual error I get, as soon as I import
pyTables:
import tables
ImportError:
dlopen(/Library/Python/2.7/site-packages/tables/utilsExtension.so, 2): Symbol
not found: _SZ_BufftoBuffCompress
Referenced from:
/Librar
On 3/27/12 1:35 AM, Tobias Erhardt wrote:
> Hi everybody
>
> I've been trying to install pyTables on my OSX Lion machine the past few days
> without any success.
>
> In my opinion the problem is that the extension trys to build as universal
> (i386 and x86_64) while the hdf5 libraries are only av
>> (but how to grow it in columns without deleting& recreating?)
>
> You can't (at least on cheap way). Maybe you may want to create
> additional tables and grouping them in terms of the columns you are
> going to need for your queries.
Sorry, it is not clear to me: create new tables and (groupi
