issues: 608536405
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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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608536405 | MDU6SXNzdWU2MDg1MzY0MDU= | 4013 | Subset from conditional coordinates | 42118783 | closed | 0 | 6 | 2020-04-28T18:49:12Z | 2020-04-30T17:51:23Z | 2020-04-28T20:21:05Z | NONE | DescriptionMaybe this functionality already exists in some way, but I haven't seen an obvious way to do it. Frequently I want to retrieve a subset of a dataset where I don't know exactly the index. For example if I have two coordinates x and y, I want to provide conditions like x< 100 & x>3, y >=2. Some functions like this exist in the Dplyr package in r using the filter function (e.x. filter(ds, x>= 100 | x <-1). Is such a thing possible using a function in xarray or must I build the boolean index myself using something like ds[np.meshgrid(ds.x < 100 , ds.y>5)]? Notice the desired functionality is a lot like xr.where except the conditions are on the coordinates and instead of returning a mask, the function should return a smaller dataframe, if possible.
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completed | 13221727 | issue |