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
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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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,
the idea ;)
Be Well
Anthony
1. https://github.com/PyTables/PyTables/issues/27
On Thu, Jan 3, 2013 at 9:25 AM, David Reed david.ree...@gmail.com wrote:
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
(data_i, data_j):
compare(i, j)
You get the idea ;)
Be Well
Anthony
1. https://github.com/PyTables/PyTables/issues/27
On Thu, Jan 3, 2013 at 9:25 AM, David Reed david.ree...@gmail.com
wrote:
I was hoping someone could help me out here.
This is from a post I put up
specific
than Re: Contents of Pytables-users digest...
Today's Topics:
1. Re: Pytables-users Digest, Vol 80, Issue 2 (David Reed)
2. Re: Pytables-users Digest, Vol 80, Issue 3 (David Reed)
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Date: Thu, 3