issues: 1455771929

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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
1455771929 I_kwDOAMm_X85WxVEZ 7299 DataArray.reindex of empty array changes dtype from float32 to float64 1482551 closed 0     3 2022-11-18T20:42:34Z 2023-06-16T03:10:25Z 2023-06-16T03:10:25Z NONE      

What happened?

When I reindex an empty DataArray with float32 dtype, result's dtype is actually float64. Note that this does not happen when the original DataArray is not empty.

What did you expect to happen?

Dtype of reindex result should match dtype of the original DataArray.

Minimal Complete Verifiable Example

```Python import xarray as xr

x = xr.DataArray([], dims=('x',), coords={'x': []}).astype('float32') y = x.reindex(x=[1., 2.]) print(x.dtype, y.dtype) ```

MVCE confirmation

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

Relevant log output

No response

Anything else we need to know?

No response

Environment

INSTALLED VERSIONS ------------------ commit: None python: 3.9.12 (main, Mar 23 2022, 21:36:19) [GCC 11.3.0] python-bits: 64 OS: Linux OS-release: 4.14.13-1.el7.elrepo.x86_64 machine: x86_64 processor: byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.12.1 libnetcdf: 4.8.1 xarray: 2022.3.0 pandas: 1.4.2 numpy: 1.21.5 scipy: 1.8.0 netCDF4: 1.5.8 pydap: None h5netcdf: None h5py: 3.6.0 Nio: None zarr: 2.11.1 cftime: 1.6.0 nc_time_axis: 1.4.1 PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.3.4 dask: 2022.02.1 distributed: 2022.2.1 matplotlib: 3.5.2 cartopy: None seaborn: 0.11.2 numbagg: 0.2.1 fsspec: 2022.3.0 cupy: None pint: None sparse: 0.13.0 setuptools: 61.2.0.post0 pip: 22.0.4 conda: None pytest: 7.1.1 IPython: 8.4.0 sphinx: 4.5.0 
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   completed 13221727 issue

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