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- zarr and xarray chunking compatibility and `to_zarr` performance · 1 ✖
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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493408428 | https://github.com/pydata/xarray/issues/2300#issuecomment-493408428 | https://api.github.com/repos/pydata/xarray/issues/2300 | MDEyOklzc3VlQ29tbWVudDQ5MzQwODQyOA== | tinaok 46813815 | 2019-05-17T10:37:35Z | 2019-05-17T10:37:35Z | NONE | Hi, I'm new to xarray & zarr ,
After reading a zarr file, I re-chunk the data using xarray.Dataset.chunk. Then create a newly chunked data stored as zarr file with xarray.Dataset.to_zarr But I get error message:
'NotImplementedError: Specified zarr chunks (200, 100, 1) would overlap multiple dask chunks ((50, 50, 50, 50), (25, 25, 25, 25), (10000,)). This is not implemented in xarray yet. Consider rechunking the data using Then why do I get 'notimplemented error ? Do I have to use 'del dsread.data.encoding['chunks']. each time before using 'Dataset.to_zarr' as a workaround? but probably I am missing somthing. I hope someone can point me out... I made a notebook here for reproducing the pb. thanks for your help, regards Tina |
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zarr and xarray chunking compatibility and `to_zarr` performance 342531772 |
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