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  • gwgundersen · 2 ✖

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  • assign_coords adds coordinates without a new dimension if the value is scalar · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
524617139 https://github.com/pydata/xarray/issues/3240#issuecomment-524617139 https://api.github.com/repos/pydata/xarray/issues/3240 MDEyOklzc3VlQ29tbWVudDUyNDYxNzEzOQ== gwgundersen 2818208 2019-08-25T10:02:39Z 2019-08-25T10:02:39Z CONTRIBUTOR

I see. This is because coordinates are just DataArray objects. So

```python

arr.coords['y'] = range(3) ```

is equivalent to

```python

new_coords = xr.DataArray(data=range(3)) arr.coords['y'] = new_coords ```

And the reason this is a ValueError is that new_coords has a default dimension dim_0 that is not on arr. However, this

```python

arr.coords['y'] = 1 ```

is equivalent to...

```python

new_coords = xr.DataArray(data=1, dims=[]) arr.coords['y'] = new_coords ```

And new_coords has no dimensions that are not on arr.

 
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   assign_coords adds coordinates without a new dimension if the value is scalar 484089737
524525841 https://github.com/pydata/xarray/issues/3240#issuecomment-524525841 https://api.github.com/repos/pydata/xarray/issues/3240 MDEyOklzc3VlQ29tbWVudDUyNDUyNTg0MQ== gwgundersen 2818208 2019-08-24T06:39:00Z 2019-08-24T06:39:00Z CONTRIBUTOR

@shoyer, maybe I am missing a nuance in your answer, but I think I already understand this bit about Xarray. My question was why is it is allowed to add a scalar:

```python

arr = xr.DataArray(range(3), dims=['x'], coords={'x': list('abc')}) arr.coords Coordinates: * x (x) <U1 'a' 'b' 'c' arr.coords['y'] = 1 # <----------- Why does this work? arr.coords Coordinates: * x (x) <U1 'a' 'b' 'c' y int64 1 ```

In this case, y are coordinates that do not share an existing dimension.

 
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   assign_coords adds coordinates without a new dimension if the value is scalar 484089737

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