Hi there,
I have some generic functions that take time series data with 2 numpy array
arguments, time and value, and return 2 numpy arrays of time and value.
I would like to place these arrays into a Numpy structured array or
directly into a new pytables table with fields, time and value.
Now Iv
I'm really trying to become more productive using PyTables, but am
struggling with what I should be using. Whats the difference between a
table and an array?
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28.07.2013 15:24, schrieb David Reed:
> > Hi there, I was wondering if there any nice tutorials that show the
> > different compression options such as zlib, bzo, etc. and how to
> > actually use them with my tables.
> >
> > There seems to be a lot of good information d
Hi there, I was wondering if there any nice tutorials that show the
different compression options such as zlib, bzo, etc. and how to actually
use them with my tables.
There seems to be a lot of good information describing the performance
increase under the Optimization Tips section, but I don't s
.net
>
> When replying, please edit your Subject line so it is more specific
> than "Re: Contents of Pytables-users digest..."
>
>
> Today's Topics:
>
>1. Re: Pytables-users Dige
, offset by one, and then
> > doing the comparison. I am hacking this out super quick so please
> forgive
> > me:
> >
> > from itertools import izip
> >
> > with tb.openFile(...) as f:
> > data = f.root.data
> > data_i = iter(data)
> >
data_i = iter(data)
> data_j = iter(data)
> data_i.next() # throw the first value away
> for i, j in izip(data_i, data_j):
> compare(i, j)
>
> You get the idea ;)
>
> Be Well
> Anthony
>
> 1. https://github.com/PyTables/PyTables/issues/27
>
>
I was hoping someone could help me out here.
This is from a post I put up on StackOverflow,
I am have a fairly large dataset that I store in HDF5 and access using
PyTables. One operation I need to do on this dataset are pairwise
comparisons between each of the elements. This requires 2 loops, one
