class_docstr: Base class for an estimator of causal effect.
  
  Subclasses implement different estimation methods. All estimation methods are in the package "dowhy.causal_estimators"
class_docstr_tok: ["Base","class","for","an","estimator","of","causal","effect",".","Subclasses","implement","different","estimation","methods",".","All","estimation","methods","are","in","the","package","``","dowhy.causal_estimators","''"]
code: def signif_results_tostr(self, signif_results):
      s = ""
      pval = signif_results["p_value"]
      if type(pval) is tuple:
          s += "[{0}, {1}]".format(pval[0], pval[1])
      else:
          s += "{0}".format(pval)
      return s
  
imports: import copy
  import logging
  from collections import namedtuple
  from typing import Dict, List, Optional, Union
  import numpy
  import pandas
  import sympy
  from sklearn.utils import resample
  import dowhy.interpreters
  from dowhy.causal_identifier.identified_estimand import IdentifiedEstimand
  from dowhy.utils.api import parse_state
label_desc: Use image node_id 26 for calling the CausalEstimator obj's underlying member method code with example usage: obj.signif_results_tostr(signif_results) and returns: s