Hi, Sorry this might seem a little noobish, but I'm just starting out with pytables.
I notice that row.fetch_all_fields() returns a Numpy void scalar type. Is it possible for it to return a numpy object with at least the actual python/numpy sub-types of the fields i.e. int, float, etc. Also the Row object seems to be missing the same type information. Calling type() on either results in a "TypeError: 'str' object is not callable". Is this intensional? Is there another way to obtain the type information dynamically(apart from using table.coldtypes or table.coltypes) as I will not necessarily know the types of the various fields I read from an hdf5 file. I could use ObjectAtom, but I'm trying to avoid the overhead. I just want to make sure I haven't skipped anything important. Basically, I want to convert the row object to a python object(deserialize) with typed properties automatically and vice-versa(serialize). I know python is ducktyped, but I need the type information as I'm hoping speed up certain bits of the computation using cython or pyrex. Chirag ------------------------------------------------------------------------------ Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
