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 <deak.and...@gmail.com>
To: Discussion of Numerical Python <numpy-discussion@python.org>
Subject: Re: [Numpy-discussion] different values for ndarray when
printed with or without
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<camewa4pwbx611gawojqc8heu2nss3-ugaajhamwocqtnfti...@mail.gmail.com>
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On Wed, Oct 18, 2017 at 7:30 PM, Nissim Derdiger <niss...@elspec-ltd.com> 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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