class_docstr: A Term that should be computed from a tuple of inputs.
  
  This is the base class for :class:`zipline.pipeline.Factor`,
  :class:`zipline.pipeline.Filter`, and :class:`zipline.pipeline.Classifier`.
class_docstr_tok: ["A","Term","that","should","be","computed","from","a","tuple","of","inputs",".","This","is","the","base","class","for",":","class",":","`","zipline.pipeline.Factor","`",",",":","class",":","`","zipline.pipeline.Filter","`",",","and",":","class",":","`","zipline.pipeline.Classifier","`","."]
docstr: Called with an result of ``self``, unravelled (i.e. 1-dimensional)
  after any user-defined screens have been applied.
  
  This is mostly useful for transforming the dtype of an output, e.g., to
  convert a LabelArray into a pandas Categorical.
  
  The default implementation is to just return data unchanged.
docstr_tok: ["Called","with","an","result","of","``","self","``",",","unravelled","(","i.e",".","1-dimensional",")","after","any","user-defined","screens","have","been","applied",".","This","is","mostly","useful","for","transforming","the","dtype","of","an","output",",","e.g.",",","to","convert","a","LabelArray","into","a","pandas","Categorical",".","The","default","implementation","is","to","just","return","data","unchanged","."]
code: def postprocess(self, data):
      """
      Called with an result of ``self``, unravelled (i.e. 1-dimensional)
      after any user-defined screens have been applied.
  
      This is mostly useful for transforming the dtype of an output, e.g., to
      convert a LabelArray into a pandas Categorical.
  
      The default implementation is to just return data unchanged.
      """
      return data
  
imports: from abc import ABCMeta, abstractproperty, abstractmethod
  from bisect import insort
  from collections import Mapping
  from weakref import WeakValueDictionary
  from numpy import array, dtype, ndarray
  from six import with_metaclass
  from zipline.assets import Asset
  from zipline.errors import DTypeNotSpecified, InvalidOutputName, NonSliceableTerm, NonWindowSafeInput, NotDType, NonPipelineInputs, TermInputsNotSpecified, TermOutputsEmpty, UnsupportedDType, WindowLengthNotSpecified
  from zipline.lib.adjusted_array import can_represent_dtype
  from zipline.lib.labelarray import LabelArray
  from zipline.utils.input_validation import expect_types
  from zipline.utils.memoize import classlazyval, lazyval
  from zipline.utils.numpy_utils import bool_dtype, categorical_dtype, datetime64ns_dtype, default_missing_value_for_dtype, float64_dtype
  from zipline.utils.sharedoc import templated_docstring, PIPELINE_ALIAS_NAME_DOC, PIPELINE_DOWNSAMPLING_FREQUENCY_DOC
  from .domain import Domain, GENERIC, infer_domain
  from .downsample_helpers import expect_downsample_frequency
  from .sentinels import NotSpecified
label_desc: Use image node_id 9 for calling the ComputableTerm obj's underlying member method code with example usage: obj.postprocess(data) and returns: data