issue_comments: 402524911

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https://github.com/pydata/xarray/issues/2267#issuecomment-402524911 https://api.github.com/repos/pydata/xarray/issues/2267 402524911 MDEyOklzc3VlQ29tbWVudDQwMjUyNDkxMQ== 1200058 2018-07-04T16:45:39Z 2018-07-04T16:45:39Z NONE

As an explanation: I'd like to change my program to only use lazy / chunked calculations in order to save RAM.

I recognized that np.broadcast_to converts the DataArray into a numpy one. Therefore I needed some xarray way to solve this.

I tried: python DataArray.expand_dims("new_dim").isel("new_dim", np.repeat(0, target_dim_size)) but this really looks ugly and I'm not sure about the performance implications of this.

 
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