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  • read ncml files to create multifile datasets · 4 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1326444972 https://github.com/pydata/xarray/issues/2697#issuecomment-1326444972 https://api.github.com/repos/pydata/xarray/issues/2697 IC_kwDOAMm_X85PD_Gs vietnguyengit 26201635 2022-11-24T13:18:50Z 2022-11-24T13:18:50Z NONE

Thanks @keewis that's right, looks like they are still working on the docs, it was confusing.

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  read ncml files to create multifile datasets 401874795
1326428376 https://github.com/pydata/xarray/issues/2697#issuecomment-1326428376 https://api.github.com/repos/pydata/xarray/issues/2697 IC_kwDOAMm_X85PD7DY vietnguyengit 26201635 2022-11-24T13:06:26Z 2022-11-24T13:06:26Z NONE

Hi everyone, I've hit a problem where I need to read ncml to xarray, which brought me here... Just wondering if there are any updates regarding this?

p/s xncml is broken at the moment.

Thank you.

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  read ncml files to create multifile datasets 401874795
832761716 https://github.com/pydata/xarray/issues/2697#issuecomment-832761716 https://api.github.com/repos/pydata/xarray/issues/2697 MDEyOklzc3VlQ29tbWVudDgzMjc2MTcxNg== rsignell-usgs 1872600 2021-05-05T15:02:55Z 2021-05-05T15:04:59Z NONE

It's worth pointing out that you can create FileReferenceSystem JSON to accomplish many of the tasks we used to use NcML for: * create a single virtual dataset that points to a collection of files * modify dataset and variable attributes

It also has the nice feature that it makes your dataset faster to work with on the cloud because the map to the data is loaded in one shot!

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  read ncml files to create multifile datasets 401874795
686576870 https://github.com/pydata/xarray/issues/2697#issuecomment-686576870 https://api.github.com/repos/pydata/xarray/issues/2697 MDEyOklzc3VlQ29tbWVudDY4NjU3Njg3MA== jdha 10219352 2020-09-03T15:37:47Z 2020-09-03T15:37:47Z NONE

This just popped up in my inbox and reminded me of the conversation I had with @rabernathttps://github.com/rabernat a few years back at a DRAKKAR meeting in France.

I haven't really kept up with things since then, but 6+ years ago we modified one of our python tools to abstract the IO method from the user by using NCML files as input. Then either the mfdataset or the unidata Java Netcdf library was used to access local or remote data (single file, directory or aggregation). As there wasn't any native NCML parser in python, and we had limited time, we ended up using pyjniushttps://github.com/kivy/pyjnius to call the netcdf java class from python which gave us access to the directory scan, aggregation functions etc from the Java Library.... probably not the most efficient way - but we've been using it ever since. I don't have a huge amount of time (or expertise), but happy to get involved if I can.


From: Ryan Abernathey notifications@github.com Sent: 03 September 2020 15:47 To: pydata/xarray xarray@noreply.github.com Cc: Harle, James jdha@noc.ac.uk; Mention mention@noreply.github.com Subject: Re: [pydata/xarray] read ncml files to create multifile datasets (#2697)

Thanks for reviving this @huardhttps://github.com/huard!

FWIW, I think it's best for this sort of utility to live in its own small standalone package, which I have referred to as "xarray-mergetool" in the past. NCML could be one special case of the things it could it. It would also be very useful for intake-esm.

We have also discussed this in NCAR/esm-collection-spec#12https://github.com/NCAR/esm-collection-spec/issues/12

We should have some bandwidth to work on this over the next year via the pangeo-forge project.

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  read ncml files to create multifile datasets 401874795

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