Comments (4)
@Zeitsperre go for it!
The cf-xarray version also supports adding a test-upstream
label.
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Sounds great. Current state of rioxarray latest testing:
rioxarray/.github/workflows/tests.yaml
Lines 165 to 212 in d492a2a
from rioxarray.
The issue with latest was that the build failed often due to installation issues or other noise that unfortunately made it less useful. It just barely stabilized enough to get useful testing information.
from rioxarray.
That's really cool! @dcherian mind if I grab that for xclim
?
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Related Issues (20)
- rioxarray.open_rasterio(file) doesn't work HOT 1
- Support GCPs without known z coordinate HOT 3
- `spatial_ref` coordinate not accessible after saving dataset HOT 2
- Add a rio.fill.fillnodata-based nodata interpolation in addition to existing scipy-based HOT 1
- write somewhere in the documentation that extentions are not respecting F401
- Rename bands as variables using long_name attribute HOT 8
- typo in docs
- `rio.transform()` does not retrieve exact transform stored in `rio.write_transform()` HOT 2
- Document difference between `set_crs` and `write_crs` HOT 4
- Typo in docs: longitute
- Fail to reproject and reproject_match a dataset with rotation affine. HOT 3
- reproject_match renames dims HOT 2
- Xarray padding with mode='reflect'
- Padding and Croping doesn't end up same result HOT 2
- overview_level failing in xarray with engine='rasterio' due to missing doc? HOT 2
- Rio array merge missing HOT 3
- Delayed/chunked opening (sentinel) SAFE data with bands as variables fails HOT 1
- `reproject_match` raises `MissingSpatialDimensionError` with spatial dims set HOT 1
- Save larger raster with zstd compression writes dirty block HOT 3
- Memory leak when looping through data variables of a dataset loaded from a VRT HOT 3
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