class_docstr: Interface for simple dictionary-based dataset format. The dictionary
  keys correspond to the column (i.e. dimension) names and the values
  are collections representing the values in that column.
class_docstr_tok: ["Interface","for","simple","dictionary-based","dataset","format",".","The","dictionary","keys","correspond","to","the","column","(","i.e",".","dimension",")","names","and","the","values","are","collections","representing","the","values","in","that","column","."]
code: def dimension_type(cls, dataset, dim):
      name = dataset.get_dimension(dim, strict=True).name
      values = dataset.data[name]
      return type(values) if isscalar(values) else values.dtype.type
  
imports: from collections import OrderedDict, defaultdict
  import numpy
  from ..None import util
  from ..dimension import dimension_name
  from ..element import Element
  from ..ndmapping import NdMapping, item_check, sorted_context
  from ..util import isscalar
  from .interface import DataError, Interface
label_desc: Use image node_id 1 for calling the DictInterface obj's underlying member method code with example usage: obj.dimension_type(cls, dataset, dim) and returns: unknown