Created
April 21, 2022 23:11
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Open multiple netcdf datasets with xarray, and automatically modify (add a dimension with coordinates based on file path) and then combine them.
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### This works ##### | |
FILEPATTERN = '...' | |
def func(ds): | |
var = next(var for var in ds) | |
fp = ds[var].encoding['source'] | |
coordds = ds.assign_coords(path=fp) | |
dimds = coordds.expand_dims('path') | |
return dimds | |
fs = fsspec.filesystem('gs') | |
fps = fs.glob(FILEPATTERN) | |
ds = xr.open_mfdataset([fs.open(x) for x in fps], concat_dim='path', preprocess=func) | |
### Not this ### | |
FILEPATTERN = '...' | |
def func(ds): | |
var = next(var for var in ds) | |
fp = ds[var].encoding['source'] | |
# Here, I swap the order.... | |
dimds = coordds.expand_dims('path') | |
coordds = ds.assign_coords(path=fp) | |
return dimds | |
fs = fsspec.filesystem('gs') | |
fps = fs.glob(FILEPATTERN) | |
ds = xr.open_mfdataset([fs.open(x) for x in fps], concat_dim='path', preprocess=func) | |
### Although opening ONE of these files and doing the `func` stuff manually does work, in both cases... | |
### Some deprecated function usage in `open_mfdataset` with `preprocess` ? |
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