Re: [Numpy-discussion] Datarray 0.1.0 release

2016-06-10 Thread Matthew Brett
On Fri, Jun 10, 2016 at 1:19 PM, Stephan Hoyer  wrote:
> On Fri, Jun 10, 2016 at 12:51 PM, Matthew Brett 
> wrote:
>>
>> If you like the general idea, and you don't mind the pandas
>> dependency, `xray` is a much better choice for production code right
>> now, and will do the same stuff and more:
>>
>> https://pypi.python.org/pypi/xray/0.4.1
>>
>
>
> Hi Matthew,
>
> Congrats on the release!
>
> I just wanted to point out that "xray" is now known as "xarray":
> https://pypi.python.org/pypi/xarray/

Ah - thank you - I'll update the docs...

Cheers,

Matthew
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Re: [Numpy-discussion] Datarray 0.1.0 release

2016-06-10 Thread Stephan Hoyer
On Fri, Jun 10, 2016 at 12:51 PM, Matthew Brett 
wrote:

> If you like the general idea, and you don't mind the pandas
> dependency, `xray` is a much better choice for production code right
> now, and will do the same stuff and more:
>
> https://pypi.python.org/pypi/xray/0.4.1
>
>

Hi Matthew,

Congrats on the release!

I just wanted to point out that "xray" is now known as "xarray":
https://pypi.python.org/pypi/xarray/

Cheers,
Stephan
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[Numpy-discussion] Datarray 0.1.0 release

2016-06-10 Thread Matthew Brett
Hi,

I just released a new version of the Datarray package:

https://pypi.python.org/pypi/datarray/0.1.0
https://github.com/BIDS/datarray

It's a very lightweight implementation of arrays with labeled axes and
ticks, that allows you to do stuff like:

>>> narr = DataArray(np.zeros((1,2,3)), axes=('a','b','c'))
>>> narr.axes.a
Axis(name='a', index=0, labels=None)
>>> narr.axes.a[0]
DataArray(array([[ 0.,  0.,  0.],
   [ 0.,  0.,  0.]]),
('b', 'c'))

It's still experimental, but we'd love to hear any feedback, in any
form.  Please feel free to make github issues for specific bugs /
suggestions:

https://github.com/BIDS/datarray/issues

If you like the general idea, and you don't mind the pandas
dependency, `xray` is a much better choice for production code right
now, and will do the same stuff and more:

https://pypi.python.org/pypi/xray/0.4.1

Cheers,

Matthew
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