ncsa.hdf.hdf5lib
Class HDFArray

java.lang.Object
  extended by ncsa.hdf.hdf5lib.HDFArray

public class HDFArray
extends java.lang.Object

This is a class for handling multidimensional arrays for HDF.

The purpose is to allow the storage and retrieval of arbitrary array types containing scientific data.

The methods support the conversion of an array to and from Java to a one-dimensional array of bytes suitable for I/O by the C library.

This class heavily uses the HDFNativeData class to convert between Java and C representations.


Constructor Summary
HDFArray(java.lang.Object anArray)
          The input must be a Java Array (possibly multidimensional) of primitive numbers or sub-classes of Number.
 
Method Summary
 java.lang.Object arrayify(byte[] bytes)
          Given a one-dimensional array of bytes representing numbers, convert it to a java array of the shape and size passed to the constructor.
 byte[] byteify()
          Given a Java array of numbers, convert it to a one-dimensional array of bytes in correct native order.
 byte[] emptyBytes()
          Allocate a one-dimensional array of bytes sufficient to store the array.
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

HDFArray

public HDFArray(java.lang.Object anArray)
         throws HDF5Exception
The input must be a Java Array (possibly multidimensional) of primitive numbers or sub-classes of Number.

The input is analysed to determine the number of dimensions and size of each dimension, as well as the type of the elements.

The description is saved in private variables, and used to convert data.

Throws:
HDF5Exception - object is not an array.
Method Detail

emptyBytes

public byte[] emptyBytes()
                  throws HDF5Exception
Allocate a one-dimensional array of bytes sufficient to store the array.

Returns:
A one-D array of bytes, filled with zeroes. The bytes are sufficient to hold the data of the Array passed to the constructor.
Throws:
ncsa.hdf.hdf5lib.exception.HDF5JavaException - Allocation failed.
HDF5Exception

byteify

public byte[] byteify()
               throws HDF5Exception
Given a Java array of numbers, convert it to a one-dimensional array of bytes in correct native order.

Returns:
A one-D array of bytes, constructed from the Array passed to the constructor.
Throws:
ncsa.hdf.hdf5lib.exception.HDF5Exception - thrown for errors in HDF5
ncsa.hdf.hdf5lib.exception.HDF5JavaException - the object not an array or other internal error.
HDF5Exception

arrayify

public java.lang.Object arrayify(byte[] bytes)
                          throws HDF5Exception
Given a one-dimensional array of bytes representing numbers, convert it to a java array of the shape and size passed to the constructor.

Parameters:
bytes - The bytes to construct the Array.
Returns:
An Array (possibly multidimensional) of primitive or number objects.
Throws:
ncsa.hdf.hdf5lib.exception.HDF5Exception - thrown for errors in HDF5
ncsa.hdf.hdf5lib.exception.HDF5JavaException - the object not an array or other internal error.
HDF5Exception