class_docstr: A way to represent a set of dot chained operations on an object without actually running them.
      
class_docstr_tok: ["A","way","to","represent","a","set","of","dot","chained","operations","on","an","object","without","actually","running","them","."]
code: def __getitem__(self, item):
      new_self = OpChain(self._root_name)
      new_self._ops = copy.copy(self._ops)
      new_self._ops.append(["__getitem__", [item], {}])
      return new_self
  
imports: import copy
  import os
  import re
  import sys
  from contextlib import contextmanager
  import numpy
  import pandas
  import scipy.special
  import sklearn
label_desc: Use image node_id 4 for calling the OpChain obj's underlying member method code with example usage: obj.__getitem__(item) and returns: new_self