{"action":"created","issue":{"url":"https://api.github.com/repos/scikit-beam/scikit-beam/issues/431","repository_url":"https://api.github.com/repos/scikit-beam/scikit-beam","labels_url":"https://api.github.com/repos/scikit-beam/scikit-beam/issues/431/labels{/name}","comments_url":"https://api.github.com/repos/scikit-beam/scikit-beam/issues/431/comments","events_url":"https://api.github.com/repos/scikit-beam/scikit-beam/issues/431/events","html_url":"https://github.com/scikit-beam/scikit-beam/issues/431","id":143886433,"number":431,"title":"Handling NaNs","user":{"login":"vivekthampy","id":9218704,"avatar_url":"https://avatars.githubusercontent.com/u/9218704?v=3","gravatar_id":"","url":"https://api.github.com/users/vivekthampy","html_url":"https://github.com/vivekthampy","followers_url":"https://api.github.com/users/vivekthampy/followers","following_url":"https://api.github.com/users/vivekthampy/following{/other_user}","gists_url":"https://api.github.com/users/vivekthampy/gists{/gist_id}","starred_url":"https://api.github.com/users/vivekthampy/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/vivekthampy/subscriptions","organizations_url":"https://api.github.com/users/vivekthampy/orgs","repos_url":"https://api.github.com/users/vivekthampy/repos","events_url":"https://api.github.com/users/vivekthampy/events{/privacy}","received_events_url":"https://api.github.com/users/vivekthampy/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":7,"created_at":"2016-03-28T03:56:07Z","updated_at":"2016-03-28T17:52:25Z","closed_at":null,"body":"The multi_tau_auto_corr functions returns nothing if there are any NaN values in the array defined by the labelled array. It will be great if we don't have to worry about selecting regions which do not have any NaN values. @sameera2004 @tacaswell @stuwilkins "},"comment":{"url":"https://api.github.com/repos/scikit-beam/scikit-beam/issues/comments/202505990","html_url":"https://github.com/scikit-beam/scikit-beam/issues/431#issuecomment-202505990","issue_url":"https://api.github.com/repos/scikit-beam/scikit-beam/issues/431","id":202505990,"user":{"login":"mpmdean","id":699991,"avatar_url":"https://avatars.githubusercontent.com/u/699991?v=3","gravatar_id":"","url":"https://api.github.com/users/mpmdean","html_url":"https://github.com/mpmdean","followers_url":"https://api.github.com/users/mpmdean/followers","following_url":"https://api.github.com/users/mpmdean/following{/other_user}","gists_url":"https://api.github.com/users/mpmdean/gists{/gist_id}","starred_url":"https://api.github.com/users/mpmdean/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mpmdean/subscriptions","organizations_url":"https://api.github.com/users/mpmdean/orgs","repos_url":"https://api.github.com/users/mpmdean/repos","events_url":"https://api.github.com/users/mpmdean/events{/privacy}","received_events_url":"https://api.github.com/users/mpmdean/received_events","type":"User","site_admin":false},"created_at":"2016-03-28T17:52:25Z","updated_at":"2016-03-28T17:52:25Z","body":"Hey @vivekthampy,\r\n\r\nJust to add to the explanation (in a hopefully helpful way) NaNs are used in the algorithm to tag and not use bad _frames _ (not bad CCD regions) in a proper way.\r\n\r\nStart by either indexing the data array to throw away bad regions or choosing the roi to avoid NaNs.\r\n\r\nSo if there is data spolit by some issue set those frames to have NaN's and continue to send that data it.\r\n\r\nBest,\r\nMark\r\n\r\n\r\n\r\n"}}