code: def setcompress(self, comp_type, value=0, v2=0):
          
  
          status = _C._SDsetcompress(self._id, comp_type, value, v2)
          _checkErr('setcompress', status, 'cannot execute')
docs: Compresses the dataset using a specified compression method.
  
          Args::
  
            comp_type    compression type, identified by one of the
                         SDC.COMP_xxx constants
            value,v2     auxiliary value(s) needed by some compression types
                           SDC.COMP_SKPHUFF   Skipping-Huffman; compression value=data size in bytes, v2 is ignored
                           SDC.COMP_DEFLATE   Gzip compression; value=deflate level (1 to 9), v2 is ignored
                           SDC.COMP_SZIP      Szip compression; value=encoding scheme (SDC.COMP_SZIP_EC or
                                              SDC.COMP_SZIP_NN), v2=pixels per block (2 to 32)
  
          Returns::
  
              None
  
          .. note::
               Starting with v0.8, an exception is always raised if
               pyhdf was installed with the NOCOMPRESS macro set.
  
          SDC.COMP_DEFLATE applies the GZIP compression to the dataset,
          and the value varies from 1 to 9, according to the level of
          compression desired.
  
          SDC.COMP_SZIP compresses the dataset using the SZIP algorithm. See the HDF User's Guide
          for details about the encoding scheme and the number of pixels per block. SZIP is new
          with HDF 4.2.
  
          'setcompress' must be called before writing to the dataset.
          The dataset must be written all at once, unless it is
          appendable (has an unlimited dimension). Updating the dataset
          in not allowed. Refer to the HDF user's guide for more details
          on how to use data compression.
  
          C library equivalent: SDsetcompress