issue_comments: 458609172

Hi, Thanks for replying. I see what you mean about the 2 separate features.

Would it be alright if I opened a PR sometime soon that upgraded expand_dims to support the inserting/broadcasting dimensions with size > 1 (the first feature)?

I would use your suggested API, i.e. not requiring explicit coordinate names -- that makes sense. However, it feels like the dimension kwargs (i.e. the new dimension/dimensions), should be allowed to be given implicit or explicit coordinates, in case the user doesn't want 0-based integer coordinates for the new dimension. For example, da.expand_dims(a=3) is equivalent to da.expand_dims(a=[0, 1, 2]) but this will also work da.expand_dims(a=['w', 'x', 'y', 'z']) where da is ```

coords = {"b": range(5), "c": range(3)} da = xr.DataArray(np.ones([5, 3]), coords=coords, dims=list(coords.keys())) da <xarray.DataArray (b: 5, c: 3)> array([[1., 1., 1.], [1., 1., 1.], [1., 1., 1.], [1., 1., 1.], [1., 1., 1.]]) Coordinates: * b (b) int64 0 1 2 3 4 * c (c) int64 0 1 2 ```` Does that make sense?

Thank you! Martin