html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/1725#issuecomment-345434065,https://api.github.com/repos/pydata/xarray/issues/1725,345434065,MDEyOklzc3VlQ29tbWVudDM0NTQzNDA2NQ==,1197350,2017-11-18T10:47:48Z,2017-11-18T10:47:48Z,MEMBER,"Since #1532, the `repr` for dask-backed variables does not show any values (to avoid triggering computations). But numpy-backed lazily-masked-and-scaled data is treated differently: it is shown.

This highlights an important difference between how `LazilyIndexedArray` and dask array work: with dask, either you compute a whole chunk or you compute nothing. With `LazilyIndexedArray`, you can slice the array however you want and only apply `mask_and_scale` to the specific items you have selected. This small difference has big performance implications, especially for the ""medium sized"" datasets @benbovy refers to. If we changed so that `decode_cf` used dask, you would have to compute the whole chunk in order to see the `repr`.

So on second thought, maybe the system we have now is better than using dask for ""everything lazy.""","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,274797981
https://github.com/pydata/xarray/issues/1725#issuecomment-345374271,https://api.github.com/repos/pydata/xarray/issues/1725,345374271,MDEyOklzc3VlQ29tbWVudDM0NTM3NDI3MQ==,1197350,2017-11-17T21:46:14Z,2017-11-17T21:46:14Z,MEMBER,"I just had to confront and understand how lazy CF decoding worked in order to move forward with #1528. In my initial implementation, I applied chunking to variables directly in `ZarrStore`. However, I learned that `decode_cf_variable` did not preserve variable chunks. So I switched the chunking to _after_ the call to `decode_cf`.

My impression after this exercise is that having two different definitions of ""lazy"" within xarray leads to developer confusion! So I favor putting dask more central in xarray's data model. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,274797981