The data that I'm trying to store isn't linear in the sense that you have a
single molecule and then you have a snapshot of it to store at each iteration.
It's more like there is a variable number of molecules that need to be stored
at each iteration, and each of those molecules carry a unique i
Ah, you are ending with a table that is more than 6 GB large, and that's
probably more than the memory in your laptop, so the query has to traverse all
the table *on-disk*, and this is why the query is slow. I suppose that I was
thinking that you was going to use indexing, but forgot that this
Hi Francesc,
Thank you for your reply. I've done some testing of building a pytables file
with a single table as set up as follows:
class Seg(tables.IsDescription):
n_iter = tables.UInt32Col(pos=0)
seg_id = tables.UInt32Col(pos=1)
x = tables.Float32Col(shape=(405,3),pos=2)
hf
A Wednesday 02 June 2010 05:22:15 Joshua Adelman escrigué:
> Looking through the archives there seems to be a number of suggestions on
> organizing data, but all of the ones I could find are for data sets that
> are more complicated than I need.
>
> I just need to store the 3D coordinates (~ 500
Looking through the archives there seems to be a number of suggestions on
organizing data, but all of the ones I could find are for data sets that are
more complicated than I need.
I just need to store the 3D coordinates (~ 500x3 numpy array) of a number of
instances of a system for each itera
