{"action":"opened","issue":{"url":"https://api.github.com/repos/robwschlegel/heatwaveR/issues/4","repository_url":"https://api.github.com/repos/robwschlegel/heatwaveR","labels_url":"https://api.github.com/repos/robwschlegel/heatwaveR/issues/4/labels{/name}","comments_url":"https://api.github.com/repos/robwschlegel/heatwaveR/issues/4/comments","events_url":"https://api.github.com/repos/robwschlegel/heatwaveR/issues/4/events","html_url":"https://github.com/robwschlegel/heatwaveR/issues/4","id":327197237,"number":4,"title":"def runavg(ts, w):","user":{"login":"robwschlegel","id":7559399,"avatar_url":"https://avatars0.githubusercontent.com/u/7559399?v=4","gravatar_id":"","url":"https://api.github.com/users/robwschlegel","html_url":"https://github.com/robwschlegel","followers_url":"https://api.github.com/users/robwschlegel/followers","following_url":"https://api.github.com/users/robwschlegel/following{/other_user}","gists_url":"https://api.github.com/users/robwschlegel/gists{/gist_id}","starred_url":"https://api.github.com/users/robwschlegel/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/robwschlegel/subscriptions","organizations_url":"https://api.github.com/users/robwschlegel/orgs","repos_url":"https://api.github.com/users/robwschlegel/repos","events_url":"https://api.github.com/users/robwschlegel/events{/privacy}","received_events_url":"https://api.github.com/users/robwschlegel/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-05-29T07:19:54Z","updated_at":"2018-05-29T07:19:54Z","closed_at":null,"author_association":"OWNER","body":"'''\r\n\r\n    Performs a running average of an input time series using uniform window of width w. This function assumes that the input time series is periodic.\r\n\r\n    Inputs:\r\n\r\n      ts            Time series [1D numpy array]\r\n      w             Integer length (must be odd) of running average window\r\n\r\n    Outputs:\r\n\r\n      ts_smooth     Smoothed time series"}}
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