Hi All,
I am using pytables to store data in hdf5 format. Each table in the
hdf5 file has many user defined attributes.
For example:
Suppose the table name is: thistab
It has user defined attributes some of which are floats, some are ints
and some are strings.
For the float (and int) attributes, the following works:
datatype = {"names": ["Floatattr1", "Floatattr2"],
"formats": [type(tab.attrs.__getattr__("Floatattr1")),
type(tab.attrs.__getattr__("Floatattr2")) ]}
nparray = np.zeros(10, dtype = datatype)
However, if I try the same for the String attribute it does not work.
If I try the following:
datatype = {"names": ["Stringattr1", "Floatattr2"],
"formats": [type(tab.attrs.__getattr__("Floatattr1")),
type(tab.attrs.__getattr__("Floatattr2")) ]}
nparray = np.zeros(10, dtype = datatype)
I get
TypeError: data type not understood
Any suggestions for how I can make this work - I want to specify the
numpy array datatype by reading the type
from table attributes.
Thanks in advance for your help.
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