{"action":"created","issue":{"url":"https://api.github.com/repos/pydata/pandas-gbq/issues/224","repository_url":"https://api.github.com/repos/pydata/pandas-gbq","labels_url":"https://api.github.com/repos/pydata/pandas-gbq/issues/224/labels{/name}","comments_url":"https://api.github.com/repos/pydata/pandas-gbq/issues/224/comments","events_url":"https://api.github.com/repos/pydata/pandas-gbq/issues/224/events","html_url":"https://github.com/pydata/pandas-gbq/pull/224","id":365015954,"node_id":"MDExOlB1bGxSZXF1ZXN0MjE5MDY2NjIz","number":224,"title":"Parse all date/time types","user":{"login":"max-sixty","id":5635139,"node_id":"MDQ6VXNlcjU2MzUxMzk=","avatar_url":"https://avatars0.githubusercontent.com/u/5635139?v=4","gravatar_id":"","url":"https://api.github.com/users/max-sixty","html_url":"https://github.com/max-sixty","followers_url":"https://api.github.com/users/max-sixty/followers","following_url":"https://api.github.com/users/max-sixty/following{/other_user}","gists_url":"https://api.github.com/users/max-sixty/gists{/gist_id}","starred_url":"https://api.github.com/users/max-sixty/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/max-sixty/subscriptions","organizations_url":"https://api.github.com/users/max-sixty/orgs","repos_url":"https://api.github.com/users/max-sixty/repos","events_url":"https://api.github.com/users/max-sixty/events{/privacy}","received_events_url":"https://api.github.com/users/max-sixty/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-09-28T19:40:05Z","updated_at":"2018-09-29T00:12:59Z","closed_at":null,"author_association":"COLLABORATOR","pull_request":{"url":"https://api.github.com/repos/pydata/pandas-gbq/pulls/224","html_url":"https://github.com/pydata/pandas-gbq/pull/224","diff_url":"https://github.com/pydata/pandas-gbq/pull/224.diff","patch_url":"https://github.com/pydata/pandas-gbq/pull/224.patch"},"body":"Any date or time value in BQ can be converted to a pandas datetime value. As well as returning dataframes that don't requires as much post-processing, it also reducing the memory footprint of the returned object\r\n\r\nI'm not sure whether this will cause any issues around timezones, and whether we need to parse those separately? (though this PR doesn't aim to enable timezone parsing, as long as there's no regression)"},"comment":{"url":"https://api.github.com/repos/pydata/pandas-gbq/issues/comments/425598769","html_url":"https://github.com/pydata/pandas-gbq/pull/224#issuecomment-425598769","issue_url":"https://api.github.com/repos/pydata/pandas-gbq/issues/224","id":425598769,"node_id":"MDEyOklzc3VlQ29tbWVudDQyNTU5ODc2OQ==","user":{"login":"max-sixty","id":5635139,"node_id":"MDQ6VXNlcjU2MzUxMzk=","avatar_url":"https://avatars0.githubusercontent.com/u/5635139?v=4","gravatar_id":"","url":"https://api.github.com/users/max-sixty","html_url":"https://github.com/max-sixty","followers_url":"https://api.github.com/users/max-sixty/followers","following_url":"https://api.github.com/users/max-sixty/following{/other_user}","gists_url":"https://api.github.com/users/max-sixty/gists{/gist_id}","starred_url":"https://api.github.com/users/max-sixty/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/max-sixty/subscriptions","organizations_url":"https://api.github.com/users/max-sixty/orgs","repos_url":"https://api.github.com/users/max-sixty/repos","events_url":"https://api.github.com/users/max-sixty/events{/privacy}","received_events_url":"https://api.github.com/users/max-sixty/received_events","type":"User","site_admin":false},"created_at":"2018-09-29T00:12:59Z","updated_at":"2018-09-29T00:12:59Z","author_association":"COLLABORATOR","body":"This also closes https://github.com/pydata/pandas-gbq/issues/174"}}
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