HI Stephan,
Indeed, `__array_ufunc__` is None would be for classes that interact
with arrays only as if they were any other numeric type, and thus have
no use for ufuncs, but may need normal operations (astropy's `Unit`
class is a reasonably good example).
Your example also makes clear that,
Hi Stephan,
thanks for the note. The progress over last two years wasn't impressive IMO,
but I hope you'll manage.
As you suggest, I'll have a look at xarray too, as I see xarray.Dataset.
I was sure that it doesn't work with non-homogeneous data at all, clearly I
need to refresh my opinion.
> 22 февр. 2017 г., в 20:39, josef.p...@gmail.com написал(а):
>
>
>
> On Wed, Feb 22, 2017 at 11:57 AM, Alex Rogozhnikov
> > wrote:
> Hi Matthew,
> maybe it is not the best place to discuss problems of pandas, but to show
> that
On Wed, Feb 22, 2017 at 8:57 AM, Alex Rogozhnikov <
alex.rogozhni...@yandex.ru> wrote:
> Pandas may be nice, if you need a report, and you need get it done
> tomorrow. Then you'll throw away the code. When we initially used pandas as
> main data storage in yandex/rep, it looked like an good idea,
On Wed, Feb 22, 2017 at 11:57 AM, Alex Rogozhnikov <
alex.rogozhni...@yandex.ru> wrote:
> Hi Matthew,
> maybe it is not the best place to discuss problems of pandas, but to show
> that I am not missing something, let's consider a simple example.
>
> # simplest DataFrame
> x =
On Wed, Feb 22, 2017 at 6:31 AM, Marten van Kerkwijk <
m.h.vankerkw...@gmail.com> wrote:
> It seems to me entirely logical (but then it would, I suggested it
> before...) that we allow opting out by setting `__array_ufunc__` to
> None; in that case, binops return NotImplemented and ufuncs raise
>
Hi Matthew,
maybe it is not the best place to discuss problems of pandas, but to show that
I am not missing something, let's consider a simple example.
# simplest DataFrame
x = pandas.DataFrame(dict(a=numpy.arange(10), b=numpy.arange(10, 20)))
# simplest indexing. Can you predict results
Ashwin, I don't know your background but perhaps it is similar to mine. I
use numpy extensively in my day job and starting contributing to numpy a
few months ago. From using numpy, I found some things that I thought
should be added/improved. I researched them and the associated numpy code
Alex,
Can you please post some code showing exactly what you are trying to do and
any issues you are having, particularly the "irritating problems with its
row indexing and some other problems" you quote above?
On Wed, Feb 22, 2017 at 10:34 AM, Robert McLeod
wrote:
> Just
2017-02-22 16:30 GMT+01:00 Kiko :
>
>
> 2017-02-22 16:23 GMT+01:00 Alex Rogozhnikov :
>
>> Hi Francesc,
>> thanks a lot for you reply and for your impressive job on bcolz!
>>
>> Bcolz seems to make stress on compression, which is not of much
Just as a note, Appveyor supports uploading modules to "public websites":
https://packaging.python.org/appveyor/
The main issue I would see from this, is the PyPi has my password stored on
my machine in a plain text file. I'm not sure whether there's a way to
provide Appveyor with a SSH key
2017-02-22 16:23 GMT+01:00 Alex Rogozhnikov :
> Hi Francesc,
> thanks a lot for you reply and for your impressive job on bcolz!
>
> Bcolz seems to make stress on compression, which is not of much interest
> for me, but the *ctable*, and chunked operations look very
Hi All,
I'd very much like to get `__array_ufunc__` in, and am willing to do
some work, but fear we need to get past the last sticking point. As I
noted in Chuck's PR [1], in python 3.6 there is now an explicit
language change [2], which I think is relevant:
```
It is now possible to set a
Hi Alex,
2017-02-22 12:45 GMT+01:00 Alex Rogozhnikov :
> Hi Nathaniel,
>
>
> pandas
>
>
> yup, the idea was to have minimal pandas.DataFrame-like storage (which I
> was using for a long time),
> but without irritating problems with its row indexing and some other
>
Hi Ralf,
Yes, good to think about other policies. For astropy, we do the
decision by labelling with the bug-fix branch (with a policy that it
really should fix a bug), and inserting text in that release's bug-fix
notes (we really should automate that part...). Then, backporting is
done shortly
Hi Nathaniel,
> pandas
yup, the idea was to have minimal pandas.DataFrame-like storage (which I was
using for a long time),
but without irritating problems with its row indexing and some other problems
like interaction with matplotlib.
> A dict of arrays?
that's what I've started from
On Wed, Feb 22, 2017 at 7:52 AM, Marten van Kerkwijk <
m.h.vankerkw...@gmail.com> wrote:
> Hi All,
>
> In gh-8594, a question came up how to mark things that should be
> backported and Chuck commented [1]:
>
> > Our backport policy is still somewhat ad hoc, especially as I the only
> one who has
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