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- Sparse arrays · 8 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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526356476 | https://github.com/pydata/xarray/issues/1375#issuecomment-526356476 | https://api.github.com/repos/pydata/xarray/issues/1375 | MDEyOklzc3VlQ29tbWVudDUyNjM1NjQ3Ng== | fjanoos 923438 | 2019-08-29T20:52:10Z | 2019-08-29T20:52:10Z | NONE | @shoyer Is there documentation for using sparse arrays ? Could you point me to some example code ? |
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513589352 | https://github.com/pydata/xarray/issues/1375#issuecomment-513589352 | https://api.github.com/repos/pydata/xarray/issues/1375 | MDEyOklzc3VlQ29tbWVudDUxMzU4OTM1Mg== | fjanoos 923438 | 2019-07-21T21:32:23Z | 2019-07-21T21:32:23Z | NONE | Wondering what the status on this is ? Is there a branch with this functionality implemented - would love to give it a spin ! |
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511121578 | https://github.com/pydata/xarray/issues/1375#issuecomment-511121578 | https://api.github.com/repos/pydata/xarray/issues/1375 | MDEyOklzc3VlQ29tbWVudDUxMTEyMTU3OA== | rgommers 98330 | 2019-07-13T13:18:34Z | 2019-07-13T13:18:34Z | NONE | I haven't talked to anyone at SciPy'19 yet who was interested in sparse arrays, but I'll keep an eye out today. And yes, this is a fun issue to work on and would be really nice to have! |
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402699810 | https://github.com/pydata/xarray/issues/1375#issuecomment-402699810 | https://api.github.com/repos/pydata/xarray/issues/1375 | MDEyOklzc3VlQ29tbWVudDQwMjY5OTgxMA== | Hoeze 1200058 | 2018-07-05T12:02:30Z | 2018-07-05T12:02:30Z | NONE | How should these sparse arrays get stored in NetCDF4? I know that NetCDF4 has some conventions how to store sparse data, but do we have to implement our own conversion mechanisms for each sparse type? |
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402699290 | https://github.com/pydata/xarray/issues/1375#issuecomment-402699290 | https://api.github.com/repos/pydata/xarray/issues/1375 | MDEyOklzc3VlQ29tbWVudDQwMjY5OTI5MA== | Hoeze 1200058 | 2018-07-05T12:00:15Z | 2018-07-05T12:00:15Z | NONE | Would it be an option to use dask's sparse support? http://dask.pydata.org/en/latest/array-sparse.html This way xarray could let dask do the main work. Currently I load everything into a dask array by hand and pass this dask array to xarray. This works pretty good. |
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395009307 | https://github.com/pydata/xarray/issues/1375#issuecomment-395009307 | https://api.github.com/repos/pydata/xarray/issues/1375 | MDEyOklzc3VlQ29tbWVudDM5NTAwOTMwNw== | Hoeze 1200058 | 2018-06-06T09:39:43Z | 2018-06-06T09:41:28Z | NONE | I'd know a project which could make perfect use of xarray, if it would support sparse tensors: https://github.com/theislab/anndata Currently I have to work with both xarray and anndata to store counts in sparse arrays separate from other depending data which is a little bit annoying :) |
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355383374 | https://github.com/pydata/xarray/issues/1375#issuecomment-355383374 | https://api.github.com/repos/pydata/xarray/issues/1375 | MDEyOklzc3VlQ29tbWVudDM1NTM4MzM3NA== | lbybee 4998171 | 2018-01-04T19:59:28Z | 2018-01-04T19:59:28Z | NONE | I'm interested to see if there have been any developments on this. I currently have an application where I'm working with multiple dask arrays, some of which are sparse (text data). It'd be worth my time to move my project to xarray, so I'm be interested in contributing something here if there is a need. |
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311118338 | https://github.com/pydata/xarray/issues/1375#issuecomment-311118338 | https://api.github.com/repos/pydata/xarray/issues/1375 | MDEyOklzc3VlQ29tbWVudDMxMTExODMzOA== | olgabot 806256 | 2017-06-26T16:55:08Z | 2017-06-26T16:55:08Z | NONE | In case you're still looking for an application, gene expression from single cells (see Here is an example of using Hope this is a good example for sparse arrays! |
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