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[ENH] Use a neutral format to have lossless interface with JSON, Xarray, Astropy, pandas #3422

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loco-philippe opened this issue Apr 11, 2024 · 0 comments

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@loco-philippe
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What is the problem this feature will solve?

Each tool has a specific structure for processing multidimensional data with the following consequences:

  • interfaces dedicated to each tool,
  • partially processed data,
  • no unified representation of data structures

Describe the desired outcome

The proposed format (see jupyter notebook, github repository, PyPI package ) is based on the following principles:

  • neutral format available for tabular or multidimensional tools (e.g. Numpy, pandas, xarray, scipp, astropy),
  • taking into account a wide variety of data types as defined in NTV format,
  • high interoperability: reversible (lossless round-trip) interface with tabular or multidimensional tools,
  • reversible and compact JSON format,
  • Ease of sharing and exchanging multidimensional and tabular data,

Additional context

numpy/numpy#12481 (comment)
astropy/astropy#16286

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