marcel/pylot
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[task] plot routine for quantile distance quotients

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sebastianp
2016-07-28 13:42:50 +02:00
parent 1ed83d786d
commit 19ced8b8c5
2 changed files with 33 additions and 16 deletions
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6
pylot/core/util/pdf.py
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@@ -326,7 +326,7 @@ class ProbabilityDensityFunction(object):
raise ValueError('value out of bounds: {0}'.format(value))
return self.prob_limits((value, self.axis[-1]))
def prob_limits(self, limits, oversampling=1.):
def prob_limits(self, limits, oversampling=10.):
sampling = self.incr / oversampling
lim = np.arange(limits[0], limits[1], sampling)
data = self.data(lim)
@@ -353,7 +353,6 @@ class ProbabilityDensityFunction(object):
r = self.axis[-1]
m = (r + l) / 2
diff = prob_value - self.prob_lt_val(m)
while abs(diff) > eps and ((r - l) > self.incr):
if diff > 0:
l = m
@@ -366,12 +365,11 @@ class ProbabilityDensityFunction(object):
def quantile_distance(self, prob_value):
ql = self.quantile(prob_value)
qu = self.quantile(1 - prob_value)
return qu - ql
def qtile_dist_quot(self,x):
if x < 0 or x > 0.5:
if x <= 0 or x >= 0.5:
raise ValueError('Value out of range.')
return self.quantile_distance(0.5-x)/self.quantile_distance(x)