Re: data type and logarithm

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From	Robert Kern <robert.kern@gmail.com>
Subject	Re: data type and logarithm
Date	Thu, 16 Jun 2011 16:21:56 -0500
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On 6/16/11 12:20 PM, Terry Reedy wrote:

> rho = mp.append(rho, float(r)) # same with entropy)
>
> does numpy really not let you write Python stype
>
> rho.append(float(r))
> ?

No. numpy arrays are not extensible in-place in general because we use view 
semantics for slices and similar operations like transpositions. We can't have 
the underlying memory change out from underneath us. This is one of the worst 
ways to accumulate values into a numpy array.

-- 
Robert Kern

"I have come to believe that the whole world is an enigma, a harmless enigma
  that is made terrible by our own mad attempt to interpret it as though it had
  an underlying truth."
   -- Umberto Eco

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Thread

data type and logarithm simona bellavista <afylot@gmail.com> - 2011-06-16 01:37 -0700
  Re: data type and logarithm Nobody <nobody@nowhere.com> - 2011-06-16 10:16 +0100
    Re: data type and logarithm "afylot@gmail.com" <antonella.garzilli@gmail.com> - 2011-06-16 02:27 -0700
  Re: data type and logarithm Peter Otten <__peter__@web.de> - 2011-06-16 13:55 +0200
  Re: data type and logarithm Terry Reedy <tjreedy@udel.edu> - 2011-06-16 13:20 -0400
  Re: data type and logarithm Robert Kern <robert.kern@gmail.com> - 2011-06-16 16:21 -0500

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