issue_comments: 710683863
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/4428#issuecomment-710683863 | https://api.github.com/repos/pydata/xarray/issues/4428 | 710683863 | MDEyOklzc3VlQ29tbWVudDcxMDY4Mzg2Mw== | 2448579 | 2020-10-16T22:40:50Z | 2020-10-16T22:40:50Z | MEMBER | @TomAugspurger @jbusecke is seeing some funny behaviour in https://github.com/jbusecke/cmip6_preprocessing/issues/58 Here's a reproducer ``` python import dask import numpy as np import xarray as xr dask.config.set( **{ "array.slicing.split_large_chunks": True, "array.chunk-size": "24 MiB", } ) da = xr.DataArray( dask.array.random.random((10, 1000, 2000), chunks=(-1, -1, 200)), dims=["x", "y", "time"], coords={"x": [3, 4, 5, 6, 7, 9, 8, 0, 2, 1]}, ) da ```
Which is basically
I don't understand why its rechunking when we are indexing with a list along a dimension with a single chunk... |
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