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[bugfix] due to changes in the usage of ProbabiltyDensityFunction.data expectation and standard deviation were wrongly calculated

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This commit is contained in:
Sebastian Wehling-Benatelli 2016-07-12 16:19:27 +02:00
parent 39184ef150
commit 8cef8ff2db
1 changed files with 6 additions and 7 deletions
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13
pylot/core/util/pdf.py
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@ -187,7 +187,7 @@ class ProbabilityDensityFunction(object):
func, params = fit_curve(axis, pdf) func, params = fit_curve(axis, pdf)
return ProbabilityDensityFunction(x0, incr, npts, branches['gauss'], mu, return ProbabilityDensityFunction(x0, incr, npts, func, mu,
params, eta) params, eta)
def __nonzero__(self): def __nonzero__(self):
@ -303,16 +303,15 @@ class ProbabilityDensityFunction(object):
''' '''
rval = 0 rval = 0
axis = self.axis - self.x0 for x in self.axis:
for n, x in enumerate(axis): rval += x * self.data(x)
rval += x * self.data(n) return rval * self.incr
return rval * self.incr + self.x0
def standard_deviation(self): def standard_deviation(self):
mu = self.mu mu = self.mu
rval = 0 rval = 0
for n, x in enumerate(self.axis): for x in self.axis:
rval += (x - mu) ** 2 * self.data(n) rval += (x - mu) ** 2 * self.data(x)
return rval * self.incr return rval * self.incr
def prob_lt_val(self, value): def prob_lt_val(self, value):