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/7250#issuecomment-1313866757,https://api.github.com/repos/pydata/xarray/issues/7250,1313866757,IC_kwDOAMm_X85OUAQF,4160723,2022-11-14T14:45:39Z,2022-11-14T14:45:39Z,MEMBER,"That's a bug in this method: https://github.com/pydata/xarray/blob/6f9e33e94944f247a5c5c5962a865ff98a654b30/xarray/core/indexing.py#L1528-L1532

Xarray array wrappers for pandas indexes keep track of the original dtype and should restore it when converted into numpy arrays. Something like this should work for the same method:

```python
    def __array__(self, dtype: DTypeLike = None) -> np.ndarray:
        if dtype is None:
            dtype = self.dtype
        if self.level is not None:
            return np.asarray(
                self.array.get_level_values(self.level).values, dtype=dtype
            )
        else:
            return super().__array__(dtype)
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1433998942