issues: 1732874789
This data as json
id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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1732874789 | I_kwDOAMm_X85nSZIl | 7885 | drop_indexes is reversed by assign_coords of unrelated coord | 4502 | closed | 0 | 2 | 2023-05-30T19:35:48Z | 2023-08-29T14:23:31Z | 2023-08-29T14:23:31Z | NONE | What happened?I dropped an index on one coord, then later called assign_coords to change another unrelated coord. I expected the index on the original coord to stay dropped. What did you expect to happen?The index was silently created again. Minimal Complete Verifiable Example
MVCE confirmation
Relevant log outputNo response Anything else we need to know?In general it would be nice if xarray made it easier to avoid indexes being automatically created. E.g. right now, as far as I can tell there's no way to avoid an index being created when you construct a DataArray or Dataset with a coordinate of the same name as a dimension. Admittedly I have a slightly niche use case -- I'm using xarray with wrapped JAX arrays, which can't be converted into pandas indexes. Indexes being (re-)created in these cases isn't just an inconvenience it actually causes a crash. Environment
INSTALLED VERSIONS
------------------
commit: None
python: 3.10.9 (main, Dec 7 2022, 13:47:07) [GCC 12.2.0]
python-bits: 64
OS: Linux
OS-release: 6.1.20-2rodete1-amd64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.10.8
libnetcdf: 4.9.0
xarray: 999
pandas: 1.5.3
numpy: 1.24.2
scipy: 1.10.0
netCDF4: 1.6.2
pydap: None
h5netcdf: 1.1.0
h5py: 3.7.0
Nio: None
zarr: 2.13.6+ds
cftime: 1.6.2
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.3.4
cfgrib: 0.9.10.3
iris: None
bottleneck: 1.3.5
dask: None
distributed: None
matplotlib: 3.6.3
cartopy: None
seaborn: None
numbagg: None
fsspec: 2022.11.0
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 65.6.3
pip3: None
conda: None
pytest: 7.2.1
mypy: None
IPython: 8.5.0
sphinx: 5.3.0
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completed | 13221727 | issue |