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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
345426020 MDExOlB1bGxSZXF1ZXN0MjA0NTgxMDA1 2325 interp() now accepts date strings as desired co-ordinate locations dcherian 2448579 closed 0     3 2018-07-28T07:14:22Z 2018-07-30T00:33:13Z 2018-07-29T06:09:41Z MEMBER   0 pydata/xarray/pulls/2325
  • [x] Closes #2284
  • [x] Tests added (for all bug fixes or enhancements)
  • [x] Tests passed (for all non-documentation changes)
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API (remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later)

```python da = xr.DataArray([1, 5], dims=['time'], coords={'time': [np.datetime64('2014-05-06'), np.datetime64('2014-05-10')]})

da.interp(time='2014-05-07') <xarray.DataArray ()> array(2.) Coordinates: time datetime64[ns] 2014-05-07 ```

 
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     xarray 13221727 pull
345478817 MDU6SXNzdWUzNDU0Nzg4MTc= 2327 dimensions of interpolated output at single location depends on whether a scalar or list is provided dcherian 2448579 closed 0     2 2018-07-28T21:03:46Z 2018-07-28T22:48:28Z 2018-07-28T22:48:28Z MEMBER      

See below, in the first the output has no dimension but has a co-ordinate.

Code Sample, a copy-pastable example if possible

python da = xr.DataArray([1, 2, 3], dims='a', coords={'a': [1, 2, 3]}) da.interp(a=1.5) <xarray.DataArray ()> array(1.5) Coordinates: a float64 1.5

while python da.interp(a=[1.5]) ``` <xarray.DataArray (a: 1)> array([1.5]) Coordinates: * a (a) float64 1.5 ````

I think the latter should be the answer always. It's surprising to lose a dimension on interpolating...

The fix should occur here, I think: https://github.com/pydata/xarray/blob/f281945fcacbfc1dbaa48fb15546fae5317bdda8/xarray/core/dataset.py#L1330

Changing that to np.atleast_1d breaks tests though :/ @fujiisoup 

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   completed xarray 13221727 issue

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