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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
203630267 MDU6SXNzdWUyMDM2MzAyNjc= 1234 `where` grows new dimensions for unrelated variables 500246 open 0     5 2017-01-27T13:02:34Z 2022-04-18T16:04:16Z   CONTRIBUTOR      

In the example below, the dimensionality for data variable y grows from (b) to (b, a) after calling the dataset where method. This behaviour does not appear to be documented. Is it a bug?

``` In [46]: ds = xarray.Dataset({"x": (("a", "b"), arange(25).reshape(5,5)+100), "y": ("b", arange(5)-100)}, {"a": arange(5), "b": arange(5)*2, "c": (("a",), list("ABCDE"))})

In [47]: print(ds)
<xarray.Dataset>
Dimensions:  (a: 5, b: 5)
Coordinates:
  * b        (b) int64 0 2 4 6 8
    c        (a) <U1 'A' 'B' 'C' 'D' 'E'
  * a        (a) int64 0 1 2 3 4
Data variables:
    x        (a, b) int64 100 101 102 103 104 105 106 107 108 109 110 111 ...
    y        (b) int64 -100 -99 -98 -97 -96

In [69]: ds.where((ds.c>='A') & (ds.c<='C'))
Out[69]: 
<xarray.Dataset>
Dimensions:  (a: 5, b: 5)
Coordinates:
  * b        (b) int64 0 2 4 6 8
    c        (a) <U1 'A' 'B' 'C' 'D' 'E'
  * a        (a) int64 0 1 2 3 4
Data variables:
    x        (a, b) float64 100.0 101.0 102.0 103.0 104.0 105.0 106.0 107.0 ...
    y        (b, a) float64 -100.0 -100.0 -100.0 nan nan -99.0 -99.0 -99.0 ...

```

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