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 =
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
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 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 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 Feb 21, 2017 3:24 PM, "Alex Rogozhnikov"
wrote:
Ah, got it. Thanks, Chris!
I thought recarray can be only one-dimensional (like tables with named
columns).
Maybe it's better to ask directly what I was looking for:
something that works like a table with named
Ah, got it. Thanks, Chris!
I thought recarray can be only one-dimensional (like tables with named columns).
Maybe it's better to ask directly what I was looking for:
something that works like a table with named columns (but no labelling for
rows), and keeps data (of different dtypes) in a
On Tue, Feb 21, 2017 at 3:05 PM, Alex Rogozhnikov <
alex.rogozhni...@yandex.ru> wrote:
> a question about numpy.recarray:
> There is a parameter order in constructor https://docs.scipy.org/doc/
> numpy-1.10.1/reference/generated/numpy.recarray.html, but it seems to
> have no effect:
> x =
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