issue_comments: 233692572

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https://github.com/pydata/xarray/issues/902#issuecomment-233692572 https://api.github.com/repos/pydata/xarray/issues/902 233692572 MDEyOklzc3VlQ29tbWVudDIzMzY5MjU3Mg== 1217238 2016-07-19T16:40:39Z 2016-07-19T16:40:39Z MEMBER

I agree about loading data into memory automatically -- this behavior made sense before we used dask in xarray, but now it doesn't really.

We actually already have a .load() method for explicitly loading data into memory, though it might make sense to add .compute() as an alias, possibly without modifying the original dataset inplace.

I'm a little less certain about how to handle pickling data, because anytime you open a file from disk using open_dataset it's not going to pickle. But on the other hand, it's also not hard to explicitly write .load() or .compute() before using pickle or invoking multiprocessing.

 
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