issues: 505493879

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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
505493879 MDU6SXNzdWU1MDU0OTM4Nzk= 3390 xarray.DataArray.where always returns array of float64 regardless of input dtype 6051395 open 0     12 2019-10-10T20:29:26Z 2021-03-02T02:42:37Z   CONTRIBUTOR      

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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     13221727 issue

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