Hello James,
A Dilluns 20 Febrer 2006 22:26, vàreu escriure:
> I am embedding a binary file into an HDF5 file using Java. Basically,
> the Java code creates a scalar dataset of type Integer and writes an
> array of bytes to it.
> How might I use Pytables to extract this so that the file can be
> re-created on disk?
> Here is basically what I'm doing on the Java side:
>
> byte[] data = {};
> int fileSize = 0;
> File inputFile = new File(dataFilePath);
> FileInputStream in = new FileInputStream(inputFile);
> fileSize = (int)inputFile.length();
> data = new byte[fileSize];
> in.read(data);
> in.close();
> Datatype dtype = h5File.createDatatype(Datatype.CLASS_INTEGER, 1,
> Datatype.NATIVE,
> Datatype.NATIVE);
> Dataset dataset = h5File.createScalarDS(datasetName, tmpGroup,
> dtype, size, size, null,
> 0, data);
>
> Any help would be greatly appreciated.
Well, there are many ways to do that. A simple one would be:
buff = fileh.root.getNode('your_node_path').read()
buff.tofile('the_pathname_of_your_binary_file')
You can even save the file name of your binary file in an HDF5
attribute and use it afterward in PyTables to re-create it.
HTH,
--
Francesc Altet
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