original_docstring: 
          Guesses the likely data type for the given field, returning either
          DataType.CATEGORICAL or DataType.CONTINUOUS.
          
docstring: Guesses the likely data type for the given field, returning either
  DataType.CATEGORICAL or DataType.CONTINUOUS.
docstring_tokens: Guesses the likely data type for the given field returning either DataType . CATEGORICAL or DataType . CONTINUOUS .
code: def guess_data_type(self, field):
          """
          Guesses the likely data type for the given field, returning either
          DataType.CATEGORICAL or DataType.CONTINUOUS.
          """
          if field not in self.data:
              return None
          if np.issubdtype(self.data[field].dtype, np.number) and len(np.unique(self.data[field])) >= 12:
              return DataType.CONTINUOUS
          return DataType.CATEGORICAL
code_tokens: def guess_data_type ( self , field ) : if field not in self . data : return None if np . issubdtype ( self . data [ field ] . dtype , np . number ) and len ( np . unique ( self . data [ field ] ) ) >= 12 : return DataType . CONTINUOUS return DataType . CATEGORICAL
short_docstring: Guesses the likely data type for the given field, returning either
  DataType.CATEGORICAL or DataType.CONTINUOUS.
short_docstring_tokens: Guesses the likely data type for the given field returning either DataType . CATEGORICAL or DataType . CONTINUOUS .
comment: """
          Guesses the likely data type for the given field, returning either
          DataType.CATEGORICAL or DataType.CONTINUOUS.
          """