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  • razcore-rad · 2 ✖

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  • Preprocess argument for open_mfdataset and threading lock · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
118097399 https://github.com/pydata/xarray/pull/446#issuecomment-118097399 https://api.github.com/repos/pydata/xarray/issues/446 MDEyOklzc3VlQ29tbWVudDExODA5NzM5OQ== razcore-rad 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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   Preprocess argument for open_mfdataset and threading lock 91547750
118093087 https://github.com/pydata/xarray/pull/446#issuecomment-118093087 https://api.github.com/repos/pydata/xarray/issues/446 MDEyOklzc3VlQ29tbWVudDExODA5MzA4Nw== razcore-rad 1177508 2015-07-02T17:00:47Z 2015-07-02T17:00:47Z NONE

I have a question about this preprocess thing. Would it mean now that... basically xray will load all data in memory? because of the preprocesing step, whereas before... or at least that's what I understood from the documentation, xray would access the data by a need only basis.

 
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   Preprocess argument for open_mfdataset and threading lock 91547750

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