On 25.06.2013 10:26, Andre' Walker-Loud wrote:
> Dear PyTables users,
> I am trying to figure out the best way to write some metadata into some files 
> I have.
> The hdf5 file looks like
> /root/data_1/stat
> /root/data_1/sys
> where "stat" and "sys" are Arrays containing statistical and systematic 
> fluctuations of numerical fits to some data I have.  What I would like to do 
> is add another object
> /root/data_1/fit
> where "fit" is just a metadata key that describes all the choices I made in 
> performing the fit, such as seed for the random number generator, and many 
> choices for fitting options, like initial guess values of parameters, fitting 
> range, etc.
> I began to follow the example in the PyTables manual, in Section 1.2 "The 
> Object Tree", where first a class is defined 
> class Particle(tables.IsDescription):
>       identity = tables.StringCol(itemsize=22, dflt=" ", pos=0)
>       ...
> and then this class is used to populate a table.
> In my case, I won't have a table, but really just want a single object 
> containing my metadata.  I am wondering if there is a recommended way to do 
> this?  The "Table" does not seem optimal, but I don't see what else I would 
> use.

For complex information I'd probably indeed use a table object. It
doesn't matter if the table only has one row, but still you have all the
information there nicely structured.

-- Andreas.

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