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xarray.DataArray.where always returns array of float64 regardless of input dtype #3390

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@pmallas

Description

@pmallas

MCVE Code Sample

import numpy as np
import xarray as xr

a = xr.DataArray(np.arange(25).reshape(5, 5), dims=('x', 'y'))
print(a.dtype)
'int32'
a_sub = a.where(a.x + a.y < 4)
a_sub.dtype
'float64'

Expected Output

a_sub should be an xarray of dtype int32

Problem Description

The documentation (http://xarray.pydata.org/en/stable/generated/xarray.DataArray.where.html)
states that return type should be the same type as caller. However, the return type is always float64

Output of xr.show_versions()

INSTALLED VERSIONS

commit: None
python: 3.7.1 | packaged by conda-forge | (default, Mar 13 2019, 13:32:59) [MSC v.1900 64 bit (AMD64)]
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 45 Stepping 7, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
libhdf5: 1.10.4
libnetcdf: 4.6.2

xarray: 0.13.0
pandas: 0.25.1
numpy: 1.17.2
scipy: 1.3.1
netCDF4: 1.4.2
pydap: None
h5netcdf: None
h5py: 2.9.0
Nio: None
zarr: None
cftime: 1.0.3.4
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.0.22
cfgrib: None
iris: None
bottleneck: None
dask: 2.5.2
distributed: None
matplotlib: 3.1.1
cartopy: 0.17.0
seaborn: 0.9.0
numbagg: None
setuptools: 41.4.0
pip: 19.2.3
conda: None
pytest: None
IPython: 7.8.0
sphinx: None

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