Nice catch Andre!!!
np.set_printoptions(suppress=True) solved it.
Thanks!!!


Message: 4
Date: Wed, 18 Oct 2017 20:31:54 +0200
From: Andras Deak <[email protected]>
To: Discussion of Numerical Python <[email protected]>
Subject: Re: [Numpy-discussion] different values for ndarray when
        printed with or without
Message-ID:
        <camewa4pwbx611gawojqc8heu2nss3-ugaajhamwocqtnfti...@mail.gmail.com>
Content-Type: text/plain; charset="UTF-8"

On Wed, Oct 18, 2017 at 7:30 PM, Nissim Derdiger <[email protected]> wrote:
> 3. difference between values are:
>         [  2.25699615e+02   5.51561475e-01   3.81394744e+00   1.03807904e-01]
>         Instead of:
>         [225.69961547851562, 0.5515614748001099, 3.8139474391937256, 
> 0.10380790382623672]

The behaviour you're describing sounds like a matter of pretty-printing. Numpy 
uses a shortened format for printing numeric values by default. When you 
convert to a list, you leave numpy behind and you get the native python 
behaviour. If you want to control how this pretty-printing happens in numpy, 
take a close look at
numpy.set_printoptions:
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.set_printoptions.html
.
Now, I still don't see how taking a trivial view of your array would affect 
this printing, but I believe your values themselves are identical (i.e. 
correct) in both cases, and they are only displayed differently. If you were to 
do further computations with your arrays, the results would be the same.
Regards,

Andr?s


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