pull_requests: 1492188700

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1492188700 PR_kwDOAMm_X85Y8P4c 8118 open 0 Add Coordinates `set_xindex()` and `drop_indexes()` methods 4160723 <!-- Feel free to remove check-list items aren't relevant to your change --> - Complements #8102 - [ ] Tests added - [ ] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [ ] New functions/methods are listed in `api.rst` I don't think that we need to copy most API from Dataset / DataArray to `Coordinates`, but I find it convenient to have some relevant methods there too. For example, building Coordinates from scratch (with custom indexes) before passing the whole coords + indexes bundle around: ```python import dask.array as da import numpy as np import xarray as xr coords = ( xr.Coordinates( coords={"x": da.arange(100_000_000), "y": np.arange(100)}, indexes={}, ) .set_xindex("x", DaskIndex) .set_xindex("y", xr.indexes.PandasIndex) ) ds = xr.Dataset(coords=coords) # <xarray.Dataset> # Dimensions: (x: 100000000, y: 100) # Coordinates: # * x (x) int64 dask.array<chunksize=(16777216,), meta=np.ndarray> # * y (y) int64 0 1 2 3 4 5 6 7 8 9 10 ... 90 91 92 93 94 95 96 97 98 99 # Data variables: # *empty* # Indexes: # x DaskIndex ``` 2023-08-28T14:28:24Z 2023-09-19T01:53:18Z     664b100ba033d892b0894c82c49c18fc71b3f7be     0 13ebc667add99d53fe5619de8206ce745e453829 828ea08aa74d390519f43919a0e8851e29091d00 MEMBER   13221727 https://github.com/pydata/xarray/pull/8118  

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