Hi all,<div><br></div><div> I&#39;m using numpy.histogram with normed=True with 1D data ranging 0 .. 1. The results return probabilities greater than 1. The trapezoidal integral returns 1, but I&#39;m afraid this is due to the bin assigned values. Example follows:</div>
<div><br></div><div>&gt;&gt;&gt; from numpy import *</div><div><div>&gt;&gt;&gt; a = arange(0, 1, 0.1)</div><div>&gt;&gt;&gt; histogram(a, normed=True)</div><div>(array([ 1.11111111,  1.11111111,  1.11111111,  1.11111111,  1.11111111,</div>
<div>        1.11111111,  1.11111111,  1.11111111,  1.11111111,  1.11111111]), array([ 0.  ,  0.09,  0.18,  0.27,  0.36,  0.45,  0.54,  0.63,  0.72,</div><div>        0.81,  0.9 ]))</div><div><br></div><div> Is that normal? If not, does anyone encountered that before? Ideas welcome!</div>
<div><br></div><div> Thanks,</div><div> Manos._</div><div> </div></div>