iter_nodes() File method vs _v_leaves Group attribute

[Ken Walker]

I'm working with a HDF5 file format with Groups that may have a variety of 2d Table dataset names, and may have Groups. I've been using iter_nodes() to identify the Tables found in a particular model, then process based on what I find....

Recently I stumbled into the _v_leaves Group attribute, which simplifies the process (no need to figure out if a Node is a Leaf or Group!).

So, no I'm wondering...should I be using the _v_leaves Group attribute to get my Datasets, or iter_nodes() ??

Any insights from more experienced users?

Thanks in advance,

-Ken

[Francesc Alted]

Hi Ken,

Both approaches are equally valid, but the advantage of the iter_nodes() approach is that you can specify the class ('Table', 'Array', 'Group') of the nodes that are returned.  Performance wise, both ways would be rather similar, I'd say,

Francesc

--
You received this message because you are subscribed to the Google Groups "pytables-users" group.
To unsubscribe from this group and stop receiving emails from it, send an email to pytables-user...@googlegroups.com.
To post to this group, send email to pytable...@googlegroups.com.
For more options, visit https://groups.google.com/d/optout.

--

Francesc Alted

[Ken Walker]

Hi Francesc,

Thanks for the insights. You know that Python saying ("There should be one-- and preferably only one --obvious way to do it").

I am "somewhat new" to HDF5 and PyTables. So, many of my questions are intended to establish the one obvious way to do things for others in the organization (aka "best practices").

Thanks!!

-Ken