On 01/25/2018 03:56 PM, josef.p...@gmail.com wrote:
On Thu, Jan 25, 2018 at 1:49 PM, Marten van Kerkwijk
mailto:m.h.vankerkw...@gmail.com>> wrote:
On Thu, Jan 25, 2018 at 1:16 PM, Stefan van der Walt
mailto:stef...@berkeley.edu>> wrote:
> On Mon, 22 Jan 2018 10:11:08 -0500, Marte
On Thu, Jan 25, 2018 at 1:49 PM, Marten van Kerkwijk <
m.h.vankerkw...@gmail.com> wrote:
> On Thu, Jan 25, 2018 at 1:16 PM, Stefan van der Walt
> wrote:
> > On Mon, 22 Jan 2018 10:11:08 -0500, Marten van Kerkwijk wrote:
> >>
> >> I think on the consistency argument is perhaps the most important:
On Thu, Jan 25, 2018 at 1:16 PM, Stefan van der Walt
wrote:
> On Mon, 22 Jan 2018 10:11:08 -0500, Marten van Kerkwijk wrote:
>>
>> I think on the consistency argument is perhaps the most important:
>> views are very powerful and in many ways one *counts* on them
>> happening, especially in working
On Mon, 22 Jan 2018 10:11:08 -0500, Marten van Kerkwijk wrote:
I think on the consistency argument is perhaps the most important:
views are very powerful and in many ways one *counts* on them
happening, especially in working with large arrays.
I had the same gut feeling, but the fancy indexing
On 01/22/2018 11:23 AM, Allan Haldane wrote:
> I just want to note that I
> thought of another way to "fix" this for 1.15 which does not involve
> "pack_fields", which is
>
> a[['b', 'c']].astype('f8,f8').view(('f8', 2))
>
> Which is back-compatible will numpy back to 1.7, I think.
Apologies
On Mon, Jan 22, 2018 at 11:13 AM, Allan Haldane
wrote:
> On 01/22/2018 10:53 AM, josef.p...@gmail.com wrote:
>
>>
>> This is similar to the above example
>> a[['a', 'c']].view('i8')
>> but it doesn't try to combine fields.
>>
>> In many examples where I used structured dtypes a long time ago,
>>
On 01/22/2018 10:53 AM, josef.p...@gmail.com wrote:
On Sun, Jan 21, 2018 at 9:48 PM, Allan Haldane
In many examples where I used structured dtypes a long time ago,
switched between consistent views as either a standard array of subsets
or as .structured dtypes.
For this usecase it wouldn't mat
On 01/22/2018 10:53 AM, josef.p...@gmail.com wrote:
This is similar to the above example
a[['a', 'c']].view('i8')
but it doesn't try to combine fields.
In many examples where I used structured dtypes a long time ago,
switched between consistent views as either a standard array of subsets
or
On Mon, Jan 22, 2018 at 10:53 AM, wrote:
>
>
> On Sun, Jan 21, 2018 at 9:48 PM, Allan Haldane
> wrote:
>
>> Hello all,
>>
>> We are making a decision (again) about what to do about the
>> behavior of multiple-field indexing of structured arrays: Should
>> it return a view or a copy, and on what
On Sun, Jan 21, 2018 at 9:48 PM, Allan Haldane
wrote:
> Hello all,
>
> We are making a decision (again) about what to do about the
> behavior of multiple-field indexing of structured arrays: Should
> it return a view or a copy, and on what release schedule?
>
> As a reminder, this refers to opera
Hi Allan,
I think on the consistency argument is perhaps the most important:
views are very powerful and in many ways one *counts* on them
happening, especially in working with large arrays. They really should
be used everywhere it is possible. In this respect, I think one has to
weigh breakage of
Hello all,
We are making a decision (again) about what to do about the
behavior of multiple-field indexing of structured arrays: Should
it return a view or a copy, and on what release schedule?
As a reminder, this refers to operations like (1.13 behavior):
>>> a = np.zeros(3, dtype=[('a', '
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