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  • hamiddashti · 2 ✖

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  • Xarray combine_by_coords return the monotonic global index error · 2 ✖

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  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
656392705 https://github.com/pydata/xarray/issues/4213#issuecomment-656392705 https://api.github.com/repos/pydata/xarray/issues/4213 MDEyOklzc3VlQ29tbWVudDY1NjM5MjcwNQ== hamiddashti 5567953 2020-07-09T23:05:19Z 2020-07-09T23:05:19Z NONE

Thanks. The problem is I don't really know where the common coordinates are. However, since I know the extent of each tile, with some preprocessing I should be able to find/trim them.

On the side note. It would be great if mosaicing dataset with common coordinate was added to the xarray (like mosacing rasters). What really happened was I had a large area, then I used xarray to clip it into smaller tiles to make calculations more feasible. After I did the calculations on tiles and decided to stitch them together this problem raised. Your approach would solve this issue, but having it as part of xarray definitely helps many geospatial applications where, for many reasons, we deal with tiles of data with common coordinates. Thanks again. 

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   Xarray combine_by_coords return the monotonic global index error 654150730
656383386 https://github.com/pydata/xarray/issues/4213#issuecomment-656383386 https://api.github.com/repos/pydata/xarray/issues/4213 MDEyOklzc3VlQ29tbWVudDY1NjM4MzM4Ng== hamiddashti 5567953 2020-07-09T22:34:47Z 2020-07-09T22:34:47Z NONE

Thanks @TomNicholas for a thorough explanation. Now it makes sense. I thought this is a process like mosaicing rasters using rasterio.merge. Yes, it would be great if you can add an example on how to find and trim overlapping coordinates. I don't really know how to find common coordinates in spatial datasets using isel.

Thanks

 
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   Xarray combine_by_coords return the monotonic global index error 654150730

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