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 1600364072,I_kwDOAMm_X85fY54o,7560,xr.merge does not respect datatypes of inputs,13491008,open,0,,,3,2023-02-27T02:52:39Z,2023-03-01T19:00:35Z,,NONE,,,,"### What happened? I have noticed a behaviour when using xr.merge to combine results where the datatype of the inputs are changed on the output to float. This is undesirable at times, in particular when the results are to be used to index into an array. ### What did you expect to happen? Expected the datatypes to be preserved. ### Minimal Complete Verifiable Example ```Python subsets = [] for i in range(10): subsets.append(xr.DataArray([i,],dims=['idx'],coords={'idx':[i,]},name='da')) display(subsets[0].dtype) merged=xr.merge(subsets) display(merged) display(merged.da.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](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/blank_template.ipynb), returning the result. - [X] New issue — a search of GitHub Issues suggests this is not a duplicate. ### Relevant log output ```Python dtype('int32') Dimensions: (idx: 10) Coordinates: * idx (idx) int32 0 1 2 3 4 5 6 7 8 9 Data variables: da (idx) float64 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 dtype('float64') ``` ### Anything else we need to know? _No response_ ### Environment
INSTALLED VERSIONS ------------------ commit: None python: 3.10.9 | packaged by conda-forge | (main, Jan 11 2023, 15:15:40) [MSC v.1916 64 bit (AMD64)] python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 154 Stepping 3, GenuineIntel byteorder: little LC_ALL: None LANG: None LOCALE: ('English_Australia', '1252') libhdf5: 1.12.1 libnetcdf: 4.8.1 xarray: 2023.1.0 pandas: 1.5.2 numpy: 1.23.5 scipy: 1.10.0 netCDF4: 1.6.2 pydap: None h5netcdf: None h5py: None Nio: None zarr: 2.13.6 cftime: 1.6.2 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.3.5 dask: 2023.1.1 distributed: 2023.1.1 matplotlib: 3.6.2 cartopy: None seaborn: 0.12.2 numbagg: None fsspec: 2023.1.0 cupy: None pint: None sparse: None flox: None numpy_groupies: None setuptools: 65.6.3 pip: 22.3.1 conda: None pytest: None mypy: None IPython: 8.9.0 sphinx: None
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