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  • Dataset.expand_dims() not lazy · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
387784145 https://github.com/pydata/xarray/issues/2109#issuecomment-387784145 https://api.github.com/repos/pydata/xarray/issues/2109 MDEyOklzc3VlQ29tbWVudDM4Nzc4NDE0NQ== forman 206773 2018-05-09T15:45:30Z 2018-05-09T15:45:30Z NONE

@shoyer thanks, time of the call dropped down to a second!

 
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   Dataset.expand_dims() not lazy 321553778
387771898 https://github.com/pydata/xarray/issues/2109#issuecomment-387771898 https://api.github.com/repos/pydata/xarray/issues/2109 MDEyOklzc3VlQ29tbWVudDM4Nzc3MTg5OA== shoyer 1217238 2018-05-09T15:08:38Z 2018-05-09T15:08:38Z MEMBER

You need to explicitly indicate that you want lazy loading with dask by specifying the chunks keyword argument to open_dataset(), or by calling .chunk() afterwards. If you do that, then yes operations like expand_dims() will be lazy.

Otherwise, files are opened with xarray's built-in lazy loading capabilities, which only supports lazy indexing (expand_dims() could potentially be supported, too, with some effort, but you are really best off switching to dask).

 
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   Dataset.expand_dims() not lazy 321553778

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