{"action":"created","issue":{"url":"https://api.github.com/repos/mne-tools/mne-python/issues/3068","repository_url":"https://api.github.com/repos/mne-tools/mne-python","labels_url":"https://api.github.com/repos/mne-tools/mne-python/issues/3068/labels{/name}","comments_url":"https://api.github.com/repos/mne-tools/mne-python/issues/3068/comments","events_url":"https://api.github.com/repos/mne-tools/mne-python/issues/3068/events","html_url":"https://github.com/mne-tools/mne-python/issues/3068","id":143383293,"number":3068,"title":"Extend tfr to continuous data","user":{"login":"jona-sassenhagen","id":4321826,"avatar_url":"https://avatars2.githubusercontent.com/u/4321826?v=4","gravatar_id":"","url":"https://api.github.com/users/jona-sassenhagen","html_url":"https://github.com/jona-sassenhagen","followers_url":"https://api.github.com/users/jona-sassenhagen/followers","following_url":"https://api.github.com/users/jona-sassenhagen/following{/other_user}","gists_url":"https://api.github.com/users/jona-sassenhagen/gists{/gist_id}","starred_url":"https://api.github.com/users/jona-sassenhagen/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jona-sassenhagen/subscriptions","organizations_url":"https://api.github.com/users/jona-sassenhagen/orgs","repos_url":"https://api.github.com/users/jona-sassenhagen/repos","events_url":"https://api.github.com/users/jona-sassenhagen/events{/privacy}","received_events_url":"https://api.github.com/users/jona-sassenhagen/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2016-03-24T23:04:15Z","updated_at":"2017-07-22T12:34:29Z","closed_at":"2017-07-22T12:34:29Z","body":"From what I can tell, it would be fairly straight-forward to extend the TFR functions to continuous data. For example, this seemingly works:\n\n```\nfake_evoked = mne.EvokedArray(raw._data, raw.info, tmin=0)\nout = mne.time_frequency.tfr_morlet(ev, freqs, 4, return_itc=False)\n```\n\nCan we add raw data input for tfr_morlet and the like?\n"},"comment":{"url":"https://api.github.com/repos/mne-tools/mne-python/issues/comments/317180748","html_url":"https://github.com/mne-tools/mne-python/issues/3068#issuecomment-317180748","issue_url":"https://api.github.com/repos/mne-tools/mne-python/issues/3068","id":317180748,"user":{"login":"agramfort","id":161052,"avatar_url":"https://avatars2.githubusercontent.com/u/161052?v=4","gravatar_id":"","url":"https://api.github.com/users/agramfort","html_url":"https://github.com/agramfort","followers_url":"https://api.github.com/users/agramfort/followers","following_url":"https://api.github.com/users/agramfort/following{/other_user}","gists_url":"https://api.github.com/users/agramfort/gists{/gist_id}","starred_url":"https://api.github.com/users/agramfort/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/agramfort/subscriptions","organizations_url":"https://api.github.com/users/agramfort/orgs","repos_url":"https://api.github.com/users/agramfort/repos","events_url":"https://api.github.com/users/agramfort/events{/privacy}","received_events_url":"https://api.github.com/users/agramfort/received_events","type":"User","site_admin":false},"created_at":"2017-07-22T12:34:29Z","updated_at":"2017-07-22T12:34:29Z","body":"I think it's better to do it via Epochs with overlaps. You'll be able to remove artifacts etc. closing"}}
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