{"action":"created","issue":{"url":"https://api.github.com/repos/stan-dev/pystan/issues/168","labels_url":"https://api.github.com/repos/stan-dev/pystan/issues/168/labels{/name}","comments_url":"https://api.github.com/repos/stan-dev/pystan/issues/168/comments","events_url":"https://api.github.com/repos/stan-dev/pystan/issues/168/events","html_url":"https://github.com/stan-dev/pystan/issues/168","id":99725970,"number":168,"title":"RFC: Pandas, xray integration","user":{"login":"ariddell","id":19950,"avatar_url":"https://avatars.githubusercontent.com/u/19950?v=3","gravatar_id":"","url":"https://api.github.com/users/ariddell","html_url":"https://github.com/ariddell","followers_url":"https://api.github.com/users/ariddell/followers","following_url":"https://api.github.com/users/ariddell/following{/other_user}","gists_url":"https://api.github.com/users/ariddell/gists{/gist_id}","starred_url":"https://api.github.com/users/ariddell/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ariddell/subscriptions","organizations_url":"https://api.github.com/users/ariddell/orgs","repos_url":"https://api.github.com/users/ariddell/repos","events_url":"https://api.github.com/users/ariddell/events{/privacy}","received_events_url":"https://api.github.com/users/ariddell/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":2,"created_at":"2015-08-07T20:33:14Z","updated_at":"2015-08-10T12:30:38Z","closed_at":"2015-08-10T12:30:38Z","body":"Pandas seems very well established in the Python ecosystem. I wonder if at this point it might be useful to return Pandas dataframes from `extract` (or similar). Basically anywhere R returns a data.frame, Python might return a Pandas DataFrame.\r\n\r\nOccasioned by watching SciPy 2015 talks, e.g., https://www.youtube.com/watch?v=5GlNDD7qbP4"},"comment":{"url":"https://api.github.com/repos/stan-dev/pystan/issues/comments/129427126","html_url":"https://github.com/stan-dev/pystan/issues/168#issuecomment-129427126","issue_url":"https://api.github.com/repos/stan-dev/pystan/issues/168","id":129427126,"user":{"login":"ariddell","id":19950,"avatar_url":"https://avatars.githubusercontent.com/u/19950?v=3","gravatar_id":"","url":"https://api.github.com/users/ariddell","html_url":"https://github.com/ariddell","followers_url":"https://api.github.com/users/ariddell/followers","following_url":"https://api.github.com/users/ariddell/following{/other_user}","gists_url":"https://api.github.com/users/ariddell/gists{/gist_id}","starred_url":"https://api.github.com/users/ariddell/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ariddell/subscriptions","organizations_url":"https://api.github.com/users/ariddell/orgs","repos_url":"https://api.github.com/users/ariddell/repos","events_url":"https://api.github.com/users/ariddell/events{/privacy}","received_events_url":"https://api.github.com/users/ariddell/received_events","type":"User","site_admin":false},"created_at":"2015-08-10T12:30:38Z","updated_at":"2015-08-10T12:30:38Z","body":"I'm inclined to agree. Using pandas is the only way to get feature parity with R's data.frame. Well, if people keep requesting it I guess we can revisit it."}}