{"action":"created","issue":{"url":"https://api.github.com/repos/scipy/scipy/issues/8902","repository_url":"https://api.github.com/repos/scipy/scipy","labels_url":"https://api.github.com/repos/scipy/scipy/issues/8902/labels{/name}","comments_url":"https://api.github.com/repos/scipy/scipy/issues/8902/comments","events_url":"https://api.github.com/repos/scipy/scipy/issues/8902/events","html_url":"https://github.com/scipy/scipy/pull/8902","id":329214709,"node_id":"MDExOlB1bGxSZXF1ZXN0MTkyNTI2NjU5","number":8902,"title":"EHN: add nanmin/nanmax in scipy.sparse","user":{"login":"glemaitre","id":7454015,"node_id":"MDQ6VXNlcjc0NTQwMTU=","avatar_url":"https://avatars2.githubusercontent.com/u/7454015?v=4","gravatar_id":"","url":"https://api.github.com/users/glemaitre","html_url":"https://github.com/glemaitre","followers_url":"https://api.github.com/users/glemaitre/followers","following_url":"https://api.github.com/users/glemaitre/following{/other_user}","gists_url":"https://api.github.com/users/glemaitre/gists{/gist_id}","starred_url":"https://api.github.com/users/glemaitre/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/glemaitre/subscriptions","organizations_url":"https://api.github.com/users/glemaitre/orgs","repos_url":"https://api.github.com/users/glemaitre/repos","events_url":"https://api.github.com/users/glemaitre/events{/privacy}","received_events_url":"https://api.github.com/users/glemaitre/received_events","type":"User","site_admin":false},"labels":[{"id":37340735,"node_id":"MDU6TGFiZWwzNzM0MDczNQ==","url":"https://api.github.com/repos/scipy/scipy/labels/enhancement","name":"enhancement","color":"bfe5bf","default":true},{"id":37341004,"node_id":"MDU6TGFiZWwzNzM0MTAwNA==","url":"https://api.github.com/repos/scipy/scipy/labels/scipy.sparse","name":"scipy.sparse","color":"207de5","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2018-06-04T20:59:09Z","updated_at":"2018-06-09T18:14:46Z","closed_at":null,"author_association":"NONE","pull_request":{"url":"https://api.github.com/repos/scipy/scipy/pulls/8902","html_url":"https://github.com/scipy/scipy/pull/8902","diff_url":"https://github.com/scipy/scipy/pull/8902.diff","patch_url":"https://github.com/scipy/scipy/pull/8902.patch"},"body":"NumPy allows for finding `np.min` and `np.max` by ignoring NaN values.\r\nCurrently, there is no implementation in the `sparse` module while `np.fmin` and `np.fmax` could be used similarly as `np.minimum` and `np.maximum` ufunc.\r\n\r\nOur use case is in scikit-learn: we have some pre-processing methods for which we would like to discard NaN to compute those extrema."},"comment":{"url":"https://api.github.com/repos/scipy/scipy/issues/comments/395988850","html_url":"https://github.com/scipy/scipy/pull/8902#issuecomment-395988850","issue_url":"https://api.github.com/repos/scipy/scipy/issues/8902","id":395988850,"node_id":"MDEyOklzc3VlQ29tbWVudDM5NTk4ODg1MA==","user":{"login":"rgommers","id":98330,"node_id":"MDQ6VXNlcjk4MzMw","avatar_url":"https://avatars3.githubusercontent.com/u/98330?v=4","gravatar_id":"","url":"https://api.github.com/users/rgommers","html_url":"https://github.com/rgommers","followers_url":"https://api.github.com/users/rgommers/followers","following_url":"https://api.github.com/users/rgommers/following{/other_user}","gists_url":"https://api.github.com/users/rgommers/gists{/gist_id}","starred_url":"https://api.github.com/users/rgommers/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rgommers/subscriptions","organizations_url":"https://api.github.com/users/rgommers/orgs","repos_url":"https://api.github.com/users/rgommers/repos","events_url":"https://api.github.com/users/rgommers/events{/privacy}","received_events_url":"https://api.github.com/users/rgommers/received_events","type":"User","site_admin":false},"created_at":"2018-06-09T18:14:46Z","updated_at":"2018-06-09T18:14:46Z","author_association":"MEMBER","body":"For symmetry with numpy, that would be my preference I think. Since this is a new feature, it would be useful if you could mention this on the scipy-dev mailing list to see if others have opinions."}}
{"actor":{"display_login":"rgommers"}}