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- inconsistent mean computation · 3 ✖
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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1011731655 | https://github.com/pydata/xarray/issues/5785#issuecomment-1011731655 | https://api.github.com/repos/pydata/xarray/issues/5785 | IC_kwDOAMm_X848TczH | theobarnhart-USGS 30270490 | 2022-01-13T03:05:25Z | 2022-01-13T03:05:25Z | NONE | Hi @andersy005, the only thing that I found was that I needed to convert the geotiffs to netcdf to get the computation to be consistent. I didn't trace it further so its probably best to close this. |
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inconsistent mean computation 992636601 | |
1008223975 | https://github.com/pydata/xarray/issues/5785#issuecomment-1008223975 | https://api.github.com/repos/pydata/xarray/issues/5785 | IC_kwDOAMm_X848GEbn | andersy005 13301940 | 2022-01-09T03:51:35Z | 2022-01-09T03:51:35Z | MEMBER | @theobarnhart-USGS, did you find a solution and/or can we close this issue? |
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inconsistent mean computation 992636601 | |
917032342 | https://github.com/pydata/xarray/issues/5785#issuecomment-917032342 | https://api.github.com/repos/pydata/xarray/issues/5785 | IC_kwDOAMm_X842qM2W | theobarnhart-USGS 30270490 | 2021-09-10T16:18:40Z | 2021-09-10T16:18:40Z | NONE | I converted the geotiffs to netCDF and the problem seems to go away. Perhaps this has to do with how NaNs are decoded from geotiffs? I also tried this workflow with the rioxarray engine 'rasterio' and had the same issue. I'll do some more testing and report back. |
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inconsistent mean computation 992636601 |
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