issues: 280875330

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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
280875330 MDU6SXNzdWUyODA4NzUzMzA= 1772 nonzero method for xr.DataArray 6815844 open 0     5 2017-12-11T02:25:11Z 2022-04-01T10:42:20Z   MEMBER      

np.nonzero to DataArray returns a wrong result,

python In [4]: da = xr.DataArray(np.arange(12).reshape(4, 3), dims=['x', 'y'], ...: coords={'x': [0, 1, 2, 3], 'y': ['a', 'b', 'c']}) ...: np.nonzero(da) ...: Out[4]: <xarray.DataArray (x: 2, y: 11)> array([[0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3], [1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2]]) Coordinates: * x (x) int64 0 1 2 3 * y (y) <U1 'a' 'b' 'c'

Problem description

Apparently, the dimensions and the coordinates conflict each other. I think we can have our own nonzero method, which may return a Dataset consisting of indexes and appropriate coordinates.

Output of xr.show_versions()

# Paste the output here xr.show_versions() here INSTALLED VERSIONS ------------------ commit: None python: 3.5.2.final.0 python-bits: 64 OS: Linux OS-release: 4.4.0-101-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 xarray: 0.9.6-172-gc58d142 pandas: 0.21.0 numpy: 1.13.1 scipy: 0.19.1 netCDF4: None h5netcdf: None Nio: None bottleneck: 1.2.1 cyordereddict: None dask: 0.16.0 matplotlib: 2.0.2 cartopy: None seaborn: 0.7.1 setuptools: 36.5.0 pip: 9.0.1 conda: 4.3.30 pytest: 3.2.3 IPython: 6.0.0 sphinx: 1.6.3 
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     13221727 issue

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