class_docstr: a class for non-linear monotonic transformation of a continuous random variable
  
      
class_docstr_tok: ["a","class","for","non-linear","monotonic","transformation","of","a","continuous","random","variable"]
code: def _ppf(self, q, *args, **kwargs):
      if not self.decr:
          return self.func(self.kls._ppf(q, *args, **kwargs))
      else:
          return self.func(self.kls._ppf(1 - q, *args, **kwargs))
  
imports: from scipy import stats
  from scipy.stats import distributions
  import numpy
label_desc: Use image node_id 3 for calling the Transf_gen obj's underlying member method code with example usage: obj._ppf(q) and returns: self, self