{"action":"created","issue":{"url":"https://api.github.com/repos/berkeley-dsc/dlab-finance/issues/8","labels_url":"https://api.github.com/repos/berkeley-dsc/dlab-finance/issues/8/labels{/name}","comments_url":"https://api.github.com/repos/berkeley-dsc/dlab-finance/issues/8/comments","events_url":"https://api.github.com/repos/berkeley-dsc/dlab-finance/issues/8/events","html_url":"https://github.com/berkeley-dsc/dlab-finance/issues/8","id":59884469,"number":8,"title":"Step 2: compute NBBO for selected securities","user":{"login":"davclark","id":120710,"avatar_url":"https://avatars.githubusercontent.com/u/120710?v=3","gravatar_id":"","url":"https://api.github.com/users/davclark","html_url":"https://github.com/davclark","followers_url":"https://api.github.com/users/davclark/followers","following_url":"https://api.github.com/users/davclark/following{/other_user}","gists_url":"https://api.github.com/users/davclark/gists{/gist_id}","starred_url":"https://api.github.com/users/davclark/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/davclark/subscriptions","organizations_url":"https://api.github.com/users/davclark/orgs","repos_url":"https://api.github.com/users/davclark/repos","events_url":"https://api.github.com/users/davclark/events{/privacy}","received_events_url":"https://api.github.com/users/davclark/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":{"login":"nitalpatwa","id":8423067,"avatar_url":"https://avatars.githubusercontent.com/u/8423067?v=3","gravatar_id":"","url":"https://api.github.com/users/nitalpatwa","html_url":"https://github.com/nitalpatwa","followers_url":"https://api.github.com/users/nitalpatwa/followers","following_url":"https://api.github.com/users/nitalpatwa/following{/other_user}","gists_url":"https://api.github.com/users/nitalpatwa/gists{/gist_id}","starred_url":"https://api.github.com/users/nitalpatwa/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/nitalpatwa/subscriptions","organizations_url":"https://api.github.com/users/nitalpatwa/orgs","repos_url":"https://api.github.com/users/nitalpatwa/repos","events_url":"https://api.github.com/users/nitalpatwa/events{/privacy}","received_events_url":"https://api.github.com/users/nitalpatwa/received_events","type":"User","site_admin":false},"milestone":null,"comments":6,"created_at":"2015-03-05T00:14:20Z","updated_at":"2015-04-14T16:38:25Z","closed_at":null,"body":"NBBO = Nationwide Best Buy Offer\r\n\r\nThe idea is very similar to the functionality provided by pandas' [fillna](http://pandas.pydata.org/pandas-docs/dev/generated/pandas.DataFrame.fillna.html).\r\n\r\nThe idea is to construct a timeseries indexed data frame, with a column for each exchange. For each second, compute the lowest price available for each exchange. If a price is missing, it should be filled forward from the previous available timepoint.\r\n\r\ncc @rsoni1 "},"comment":{"url":"https://api.github.com/repos/berkeley-dsc/dlab-finance/issues/comments/92965927","html_url":"https://github.com/berkeley-dsc/dlab-finance/issues/8#issuecomment-92965927","issue_url":"https://api.github.com/repos/berkeley-dsc/dlab-finance/issues/8","id":92965927,"user":{"login":"rsoni1","id":8722919,"avatar_url":"https://avatars.githubusercontent.com/u/8722919?v=3","gravatar_id":"","url":"https://api.github.com/users/rsoni1","html_url":"https://github.com/rsoni1","followers_url":"https://api.github.com/users/rsoni1/followers","following_url":"https://api.github.com/users/rsoni1/following{/other_user}","gists_url":"https://api.github.com/users/rsoni1/gists{/gist_id}","starred_url":"https://api.github.com/users/rsoni1/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rsoni1/subscriptions","organizations_url":"https://api.github.com/users/rsoni1/orgs","repos_url":"https://api.github.com/users/rsoni1/repos","events_url":"https://api.github.com/users/rsoni1/events{/privacy}","received_events_url":"https://api.github.com/users/rsoni1/received_events","type":"User","site_admin":false},"created_at":"2015-04-14T16:38:25Z","updated_at":"2015-04-14T16:38:25Z","body":"Yes that is precisely what the code does."}}