[NumPy-Tickets] [NumPy] #1678: problem in the poisson distribution

[NumPy Trac]

#1678: problem in the poisson distribution
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  Reporter:  gruel         |       Owner:  somebody
      Type:  defect        |      Status:  closed  
  Priority:  normal        |   Milestone:  2.0.0   
 Component:  numpy.random  |     Version:  1.5.0   
Resolution:  invalid       |    Keywords:          
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Changes (by pv):

  * status:  new => closed
  * resolution:  => invalid


Comment:

 {{{
 >>> import numpy
 >>> x=numpy.random.poisson(100, 10000)
 >>> numpy.unique(x)
 array([ 67,  68,  69,  70,  71,  72,  73,  74,  75,  76,  77,  78,  79,
         80,  81,  82,  83,  84,  85,  86,  87,  88,  89,  90,  91,  92,
         93,  94,  95,  96,  97,  98,  99, 100, 101, 102, 103, 104, 105,
        106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118,
        119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131,
        132, 133, 134, 135, 136, 138, 139, 143])
 }}}

 The regular empty spaces in the histogram plot are probably because all of
 the random numbers are integers, and some of the 100 bins in [67,143] have
 no integer values inside them. As 143-67=83 < 100, you should get ~ 20
 empty bins, which matches what is in the plot.

-- 
Ticket URL: <http://projects.scipy.org/numpy/ticket/1678#comment:2>
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