class_docstr: An abstract column of data, not yet associated with a dataset.
code: def __init__(self, dtype, missing_value=NotSpecified):
      self.dtype = dtype
      self.missing_value = missing_value
  
imports: from functools import total_ordering
  from six import iteritems, with_metaclass
  from catalyst.pipeline.classifiers import Classifier, Latest
  from catalyst.pipeline.factors import Factor, Latest
  from catalyst.pipeline.filters import Filter, Latest
  from catalyst.pipeline.sentinels import NotSpecified
  from catalyst.pipeline.term import AssetExists, LoadableTerm, validate_dtype
  from catalyst.utils.input_validation import ensure_dtype
  from catalyst.utils.numpy_utils import NoDefaultMissingValue
  from catalyst.utils.preprocess import preprocess
label_desc: Use image node_id 1 to create a new Column object from inherited base classes: object with example: obj = Column(dtype, missing_value)