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  • Use masked arrays while preserving int · 3 ✖

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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
605697466 https://github.com/pydata/xarray/issues/1194#issuecomment-605697466 https://api.github.com/repos/pydata/xarray/issues/1194 MDEyOklzc3VlQ29tbWVudDYwNTY5NzQ2Ng== eric-czech 6130352 2020-03-29T20:37:29Z 2020-03-29T20:37:29Z NONE

I agree, I have this same issue with large genotyping data arrays often containing tiny integers and some degree of missingness in nearly 100% of raw datasets. Are there recommended workarounds now? I am thinking of constantly using Datasets instead of DataArrays with mask arrays to accompany every data array, but I'm not sure if that's the best interim solution.

 
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   Use masked arrays while preserving int 199188476
605632224 https://github.com/pydata/xarray/issues/1194#issuecomment-605632224 https://api.github.com/repos/pydata/xarray/issues/1194 MDEyOklzc3VlQ29tbWVudDYwNTYzMjIyNA== Hoeze 1200058 2020-03-29T13:00:29Z 2020-03-29T13:03:46Z NONE

Currently I keep carrying a "<arrayname>_missing" mask with all of my unstacked arrays to solve this issue. It would be very desirable to have a clean solution for this to keep arrays from being converted to float. Also, NaN does not necessarily mean NA which already caused me quite some head-scratching in the past. Further, it would be a very cool indicator to see which values of a dense array should be converted into a sparse array.

 
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   Use masked arrays while preserving int 199188476
457158136 https://github.com/pydata/xarray/issues/1194#issuecomment-457158136 https://api.github.com/repos/pydata/xarray/issues/1194 MDEyOklzc3VlQ29tbWVudDQ1NzE1ODEzNg== stale[bot] 26384082 2019-01-24T11:05:22Z 2019-01-24T11:05:22Z NONE

In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity If this issue remains relevant, please comment here; otherwise it will be marked as closed automatically

 
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   Use masked arrays while preserving int 199188476

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