[Numpy-discussion] Next NumPy Newcomers' Hour - April 18th, 2024 at 12pm UTC

2024-04-16 Thread Ganesh Kathiresan
Our next Newcomers' Hour will be held on Thursday, April 18th at 12pm UTC. Stop
by to ask questions, share your progress, celebrate success, or just to say
hi.

To add to the meeting agenda the topics you’d like to discuss, follow the
link: https://hackmd.io/3f3otyyuTte3FU9y3QzsLg?both.

Join the meeting via Zoom:
https://us06web.zoom.us/j/82563808729?pwd=ZFU3Z2dMcXBGb05YemRsaGE1OW5nQT09.

Thanks,
Ganesh
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[Numpy-discussion] Re: JSON format for multi-dimensional data

2024-04-16 Thread Dom Grigonis
Looks good,

I am currently using very low complexity data structures. Could you post some 
examples how would the data look like for simple stuff like 2d array with 2 
coordinate arrays without any extra attributes?

Regards,
dgpb

> On 15 Apr 2024, at 15:38, phili...@loco-labs.io wrote:
> 
> Hello, 
> 
> I created a first version of a neutral format for multi-dimensional data 
> (https://nbviewer.org/github/loco-philippe/ntv-numpy/blob/main/example/example_ntv_numpy.ipynb
>  ) and I made available a first version of a package 
> (https://github.com/loco-philippe/ntv-numpy/blob/main/README.md) with:
> - a reversible (lossless round-trip) Xarray interface,
> - a reversible scipp interface
> - a reversible astropy.NDData interface
> - a reversible JSON interface
> 
> The previous Notebook shows that we can, thanks to this neutral format, share 
> any dataset with any tool.
> 
> I will integrate in a second version the existing structure for tabular data 
> (https://github.com/loco-philippe/ntv-pandas/blob/main/README.md) and the 
> associated reversible interface .
> 
> If you have examples of other tools to integrate or validation datasets, I'm 
> interested!
> 
> Have a nice day
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