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.
Thanks,
Andre
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