> From: Marten van Kerkwijk
>
> Though based on my experience with Quantity, I'd also argue that the
> more annoying problems are not so much with `ndarray` itself, but
> rather with the helper functions.
Just to give an alternative view - as another astronomer I would say
that concerns about the
On 8 July 2017 at 13:03, Jaime Fernández del Río
wrote:
> The last index is exclusive:
> [a:b] means a <= index < b.
>
And the consequence is that the length of your array is b - a, so [:3]
gives you the first 3 values.
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NumPy-Discussion mailing lis
The last index is exclusive:
[a:b] means a <= index < b.
On Jul 8, 2017 10:20 AM, wrote:
> Hi
>
> Once again I need your help to understand one topic concerning slicing
> topic, or in other word I do not understand how it works in that particular
> (but common) case; I’m trying to reassign the
On Fri, Jul 7, 2017 at 6:42 PM, Ryan May wrote:
> On Fri, Jul 7, 2017 at 4:27 PM, Marten van Kerkwijk <
> m.h.vankerkw...@gmail.com> wrote:
>
>> Hi All,
>>
>> I doubt I'm really the last one thinking ndarray subclassing is a good
>> idea, but as that was stated, I feel I should at least pipe in.
Hi
Once again I need your help to understand one topic concerning slicing
topic, or in other word I do not understand how it works in that
particular (but common) case; I'm trying to reassign the 4 first values
in an array:
* If I use [:3] I'm expecting to have 4 values (index 0 to 3 i
Hi Ryan,
Indeed, the liberal use of `np.asarray` is one of the main reason the
helper routines are relatively annoying. Of course, that is not an
argument for using duck-types over subclasses: those wouldn't even
survive `asanyarray` (which many numpy routines now have moved to).
All the best,
M
