[Numpy-tickets] [NumPy] #388: Doc error for std in http://scipy.org/Numpy_Example_List#std

[NumPy]

#388: Doc error for std in http://scipy.org/Numpy_Example_List#std
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 Reporter:  g2boojum  |        Owner:  somebody
     Type:  defect    |       Status:  closed  
 Priority:  normal    |    Milestone:          
Component:  Other     |      Version:          
 Severity:  normal    |   Resolution:  fixed   
 Keywords:            |  
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Changes (by rkern):

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

Old description:

> According to the example in http://scipy.org/Numpy_Example_List#std,
> array.std() uses an N-1 normalization
> (and that's what the example shows).  With numpy-1.0 on my machine:
>
> In [22]: a = array([1., 2., 7.])
>
> In [23]: a.std()
> Out[23]: 2.62466929134
>
> In [24]: sqrt(((1.-a.mean())**2 + (2.-a.mean())**2 + (7.-a.mean())**2)/3)
> Out[24]: 2.6246692913372702
>
> In [25]: sqrt(((1.-a.mean())**2 + (2.-a.mean())**2 + (7.-a.mean())**2)/2)
> Out[25]: 3.214550253664318 <-- That's the result in the example
>
> Please fix the docs.

New description:

 According to the example in http://scipy.org/Numpy_Example_List#std,
 array.std() uses an N-1 normalization
 (and that's what the example shows).  With numpy-1.0 on my machine:

 {{{

 In [22]: a = array([1., 2., 7.])

 In [23]: a.std()
 Out[23]: 2.62466929134

 In [24]: sqrt(((1.-a.mean())**2 + (2.-a.mean())**2 + (7.-a.mean())**2)/3)
 Out[24]: 2.6246692913372702

 In [25]: sqrt(((1.-a.mean())**2 + (2.-a.mean())**2 + (7.-a.mean())**2)/2)
 Out[25]: 3.214550253664318 <-- That's the result in the example

 }}}
 Please fix the docs.

Comment:

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-- 
Ticket URL: <http://projects.scipy.org/scipy/numpy/ticket/388#comment:1>
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