class_docstr: Distribution based on log/exp transformation
  
  the constructor can be called with a distribution class
  and generates the distribution of the transformed random variable
class_docstr_tok: ["Distribution","based","on","log\/exp","transformation","the","constructor","can","be","called","with","a","distribution","class","and","generates","the","distribution","of","the","transformed","random","variable"]
code: def _ppf(self, q, *args):
      return np.exp(self.kls._ppf(q, *args))
  
imports: from scipy import stats
  from scipy.stats import distributions
  import numpy
label_desc: Use image node_id 3 for calling the ExpTransf_gen obj's underlying member method code with example usage: obj._ppf(q) and returns: np