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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
2228319306 I_kwDOAMm_X86E0XRK 8914 swap_dims does not propagate indexes properly dcherian 2448579 open 0     0 2024-04-05T15:36:26Z 2024-04-05T15:36:27Z   MEMBER      

What happened?

Found by hypothesis ``` import xarray as xr import numpy as np

var = xr.Variable(dims="2", data=np.array(['1970-01-01T00:00:00.000000000', '1970-01-01T00:00:00.000000002', '1970-01-01T00:00:00.000000001'], dtype='datetime64[ns]')) var1 = xr.Variable(data=np.array([0], dtype=np.uint32), dims=['1'], attrs={})

state = xr.Dataset() state['2'] = var state = state.stack({"0": ["2"]}) state['1'] = var1 state['1_'] = var1#.copy(deep=True) state = state.swap_dims({"1": "1_"}) xr.testing.assertions._assert_internal_invariants(state, False) ```

This swaps simple pandas indexed dims, but the multi-index that is in the dataset and not affected by the swap_dims op ends up broken.

cc @benbovy

What did you expect to happen?

No response

Minimal Complete Verifiable Example

No response

MVCE confirmation

  • [ ] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [ ] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [ ] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [ ] New issue — a search of GitHub Issues suggests this is not a duplicate.
  • [ ] Recent environment — the issue occurs with the latest version of xarray and its dependencies.

Relevant log output

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Anything else we need to know?

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     xarray 13221727 issue

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