[change] oversampling reduced to avoid computational overhead

This commit is contained in:
Sebastian Wehling-Benatelli 2016-08-19 16:08:18 +02:00
parent 71f59b3c64
commit f9d40439a9

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@ -326,7 +326,7 @@ class ProbabilityDensityFunction(object):
raise ValueError('value out of bounds: {0}'.format(value)) raise ValueError('value out of bounds: {0}'.format(value))
return self.prob_limits((value, self.axis[-1])) return self.prob_limits((value, self.axis[-1]))
def prob_limits(self, limits, oversampling=10.): def prob_limits(self, limits, oversampling=1.):
sampling = self.incr / oversampling sampling = self.incr / oversampling
lim = np.arange(limits[0], limits[1], sampling) lim = np.arange(limits[0], limits[1], sampling)
data = self.data(lim) data = self.data(lim)