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  • loc API gives KeyError: "not all values found in index" · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
555554920 https://github.com/pydata/xarray/issues/3546#issuecomment-555554920 https://api.github.com/repos/pydata/xarray/issues/3546 MDEyOklzc3VlQ29tbWVudDU1NTU1NDkyMA== roxyboy 8934026 2019-11-19T15:19:03Z 2019-11-19T15:22:12Z NONE

It is still kind of unsatisfying that my initial example fails as da is a three-dimensional array so da[0,0].loc should reduce to one-dimensional indexing but still gives the KeyError...

 
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   loc API gives KeyError: "not all values found in index" 524940277
555537348 https://github.com/pydata/xarray/issues/3546#issuecomment-555537348 https://api.github.com/repos/pydata/xarray/issues/3546 MDEyOklzc3VlQ29tbWVudDU1NTUzNzM0OA== fujiisoup 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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   loc API gives KeyError: "not all values found in index" 524940277
555529641 https://github.com/pydata/xarray/issues/3546#issuecomment-555529641 https://api.github.com/repos/pydata/xarray/issues/3546 MDEyOklzc3VlQ29tbWVudDU1NTUyOTY0MQ== roxyboy 8934026 2019-11-19T14:23:18Z 2019-11-19T14:23:38Z NONE

Thanks @mathause , your example works :) 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?

 
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   loc API gives KeyError: "not all values found in index" 524940277
555526229 https://github.com/pydata/xarray/issues/3546#issuecomment-555526229 https://api.github.com/repos/pydata/xarray/issues/3546 MDEyOklzc3VlQ29tbWVudDU1NTUyNjIyOQ== mathause 10194086 2019-11-19T14:15:36Z 2019-11-19T14:15:36Z MEMBER

I think .loc does not take a boolean array for selection but the actual lon values you want to select. To select with a boolean array you would do:

python sel = da[0, 0] < mask da[0, 0][sel] If you want to use .loc you first need to get the longitude values to select by:

``` python sel_lon = da[0, 0].lon[sel] da[0, 0].loc[sel_lon]

```

 
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   loc API gives KeyError: "not all values found in index" 524940277

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