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- Proposal: Update rasterio backend to store CRS/nodata information in standard locations. · 2 ✖
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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408016722 | https://github.com/pydata/xarray/issues/2308#issuecomment-408016722 | https://api.github.com/repos/pydata/xarray/issues/2308 | MDEyOklzc3VlQ29tbWVudDQwODAxNjcyMg== | fmaussion 10050469 | 2018-07-26T08:19:29Z | 2018-07-26T08:19:29Z | MEMBER | I'm going to leave this decision to @shoyer and @jhamman ! If we go forward with this, we have a couple of possibilities:
Same with |
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Proposal: Update rasterio backend to store CRS/nodata information in standard locations. 344058811 | |
407684501 | https://github.com/pydata/xarray/issues/2308#issuecomment-407684501 | https://api.github.com/repos/pydata/xarray/issues/2308 | MDEyOklzc3VlQ29tbWVudDQwNzY4NDUwMQ== | fmaussion 10050469 | 2018-07-25T08:58:31Z | 2018-07-25T08:58:31Z | MEMBER | Again, I'm yet to be convinced that this logic should live in xarray, regardless if netCDF or rasterio is used as a backend. The job of xarray is to read the rasterio files in a "xarray way" (e.g. in order to leverage dask) and exposing the file attributes to the user, ideally with semantics/attribute names which are as close as possible as the underlying data model (rasterio). All the logic you describe could live in a dedicated library which would become a wrapper around xarray's |
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Proposal: Update rasterio backend to store CRS/nodata information in standard locations. 344058811 |
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