Comments (1)
preprocessing
now only requires pandas, numpy and xarray. Closing
from xmip.
Related Issues (20)
- Failing with xgcm v0.7.0
- Conda version HOT 2
- Concatenate experiments with different calendars HOT 6
- Enable string input for `match_variables` argument in `match_metrics`
- Upstream dev CI failing during mamba stage HOT 2
- Tutorial intake failure HOT 10
- Merging datasets with overlapping but non identical coordinates HOT 4
- Calculating unprovided grid metrics from CMIP output? HOT 6
- combine_staggered_grid error with CESM2 HOT 8
- Opt-in for cloud tests
- Add pint-xarray as dependency HOT 1
- pint-xarray degrades performance significantly HOT 2
- Preprocessing Performance
- Request to change license to Apache-2 HOT 8
- Refine options for handling of mismatches in metric dimensions
- Installation docs mention xgcm HOT 1
- The stripe emerged after masking the ERSSTv5 SST data HOT 12
- Using `interpolate_grid_label()` to regrid data HOT 4
- Trimming grid halo as part of the preprocessing HOT 1
- Drop Python 3.7
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