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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/pull/446#issuecomment-118097399 https://api.github.com/repos/pydata/xarray/issues/446 118097399 MDEyOklzc3VlQ29tbWVudDExODA5NzM5OQ== 1177508 2015-07-02T17:16:41Z 2015-07-02T17:16:41Z NONE

I need to get my head around this... I know that when you do list comprehension, this isn't lazy so basically it goes through the loop and evaluates for each iteration... so I thought that:

if preprocess is not None: datasets = [preprocess(ds) for ds in datasets]

translates to forcing the application of the preprocess function to the dataset effectively loading it in memory... anyway, this is really cool, I'll definitely try it out :+1:

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