def make_cv_cdf(self, name=''):
mean = np.array([self.d.value[i][0] for i in range(len(self.d))])
std = np.array([self.d.value[i][1] for i in range(len(self.d))])
cv = std / mean
pmf = Pmf(values=cv,
probs=self.d.prob,
name=self.name if self.name else name)
pmf.sort_by_value()
return pmf.make_cdf()
def make_cdf_from_list(values, name=''):
pmf = Pmf()
for value in values:
pmf.incr(value)
pmf.normalize()
return pmf.make_cdf(name=name)