docstr: Given a dataset object and data in the appropriate format for
  the interface, return a simple scalar.
docstr_tok: ["Given","a","dataset","object","and","data","in","the","appropriate","format","for","the","interface",",","return","a","simple","scalar","."]
code: def unpack_scalar(cls, dataset, data):
      """
      Given a dataset object and data in the appropriate format for
      the interface, return a simple scalar.
      """
      if not cls.packed(dataset) and len(data.data_vars) == 1:
          array = data[dataset.vdims[0].name].squeeze()
          if len(array.shape) == 0:
              return array.item()
      return data
  
imports: import sys
  import types
  import numpy
  import pandas
  from ..None import util
  from ..dimension import Dimension, asdim, dimension_name
  from ..element import Element
  from ..ndmapping import NdMapping, item_check, sorted_context
  from .grid import GridInterface
  from .interface import DataError, Interface
  from .util import dask_array_module, finite_range
label_desc: Use image node_id 16 for calling the XArrayInterface obj's underlying member method code with example usage: obj.unpack_scalar(cls, dataset, data) and returns: data, array