issues: 283345586

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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
283345586 MDU6SXNzdWUyODMzNDU1ODY= 1792 Comparison with masked array yields object-array with nans for masked values 500246 open 0     3 2017-12-19T19:37:13Z 2020-10-11T13:34:25Z   CONTRIBUTOR      

Code Sample, a copy-pastable example if possible

``` $ cat mwe.py

!/usr/bin/env python3.6

import xarray import numpy

da = xarray.DataArray(numpy.arange(5)) ma = numpy.ma.masked_array(numpy.arange(5), [True, False, False, False, True]) print(da>ma) $ ./mwe.py <xarray.DataArray (dim_0: 5)> array([nan, False, False, False, nan], dtype=object) Dimensions without coordinates: dim_0 ```

Problem description

A comparison between a DataArray and a masked_array results in an array with dtype object instead of an array with dtype bool. This is problematic, because code should be able to assume that x > y returns something with a bool dtype.

Expected Output

I would expect the masked array to be dropped (which it is) and an array to be returned equivalent to the comparison da>ma.data

<xarray.DataArray (dim_0: 5)> array([False, False, False, False, False], dtype=bool) Dimensions without coordinates: dim_0

Output of xr.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.6.1.final.0 python-bits: 64 OS: Linux OS-release: 2.6.32-696.6.3.el6.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: en_GB.UTF-8 xarray: 0.10.0+dev12.gf882a58 pandas: 0.21.0 numpy: 1.13.3 scipy: 1.0.0 netCDF4: 1.3.1 h5netcdf: None Nio: None bottleneck: 1.2.1 cyordereddict: None dask: 0.16.0 matplotlib: 2.1.0 cartopy: None seaborn: 0.8.1 setuptools: 38.2.4 pip: 9.0.1 conda: 4.3.16 pytest: 3.1.2 IPython: 6.1.0 sphinx: 1.6.2 None 
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     13221727 issue

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