issue_comments: 555537348

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https://github.com/pydata/xarray/issues/3546#issuecomment-555537348 https://api.github.com/repos/pydata/xarray/issues/3546 555537348 MDEyOklzc3VlQ29tbWVudDU1NTUzNzM0OA== 6815844 2019-11-19T14:40:01Z 2019-11-19T14:40:01Z MEMBER

This behaviour, however, seems to be slightly different from the .loc API of pandas.DataFrame which can take boolean arrays for selection. Is there a reason for the discrepancy?

Hi, @roxyboy

This is just because that multidimensional boolean indexing is not yet implemented in xarray (#1887). The one-dimensional indexing would work with .loc, ```python In [2]: da = xr.DataArray([0, 1, 2], dims=['x'])

In [3]: da.loc[da < 1]
Out[3]: <xarray.DataArray (x: 1)> array([0]) Dimensions without coordinates: x ```

FYI, in xarray, probably .sel and .isel methods are more convenient than .loc, as we don't need to remember the dimension order. For the above (my) example, I would write python da.isel(x=da < 1) instead of da.loc[da < 1].

 
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