{"action":"created","issue":{"url":"https://api.github.com/repos/pydata/pandas-gbq/issues/96","repository_url":"https://api.github.com/repos/pydata/pandas-gbq","labels_url":"https://api.github.com/repos/pydata/pandas-gbq/issues/96/labels{/name}","comments_url":"https://api.github.com/repos/pydata/pandas-gbq/issues/96/comments","events_url":"https://api.github.com/repos/pydata/pandas-gbq/issues/96/events","html_url":"https://github.com/pydata/pandas-gbq/issues/96","id":280567529,"number":96,"title":"Do not manually loop over all rows when encoding a dataframe as JSON","user":{"login":"tswast","id":247555,"avatar_url":"https://avatars3.githubusercontent.com/u/247555?v=4","gravatar_id":"","url":"https://api.github.com/users/tswast","html_url":"https://github.com/tswast","followers_url":"https://api.github.com/users/tswast/followers","following_url":"https://api.github.com/users/tswast/following{/other_user}","gists_url":"https://api.github.com/users/tswast/gists{/gist_id}","starred_url":"https://api.github.com/users/tswast/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tswast/subscriptions","organizations_url":"https://api.github.com/users/tswast/orgs","repos_url":"https://api.github.com/users/tswast/repos","events_url":"https://api.github.com/users/tswast/events{/privacy}","received_events_url":"https://api.github.com/users/tswast/received_events","type":"User","site_admin":false},"labels":[{"id":534980918,"url":"https://api.github.com/repos/pydata/pandas-gbq/labels/enhancement","name":"enhancement","color":"84b6eb","default":true}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2017-12-08T17:49:14Z","updated_at":"2018-02-10T01:07:16Z","closed_at":null,"author_association":"COLLABORATOR","body":"See: https://github.com/pydata/pandas-gbq/pull/25#discussion_r155355165\r\n\r\nCurrently the code loops over each row to encode it as JSON. This could be sped up by calling `to_json()` on the whole dataframe instead."},"comment":{"url":"https://api.github.com/repos/pydata/pandas-gbq/issues/comments/364612253","html_url":"https://github.com/pydata/pandas-gbq/issues/96#issuecomment-364612253","issue_url":"https://api.github.com/repos/pydata/pandas-gbq/issues/96","id":364612253,"user":{"login":"maxim-lian","id":5635139,"avatar_url":"https://avatars0.githubusercontent.com/u/5635139?v=4","gravatar_id":"","url":"https://api.github.com/users/maxim-lian","html_url":"https://github.com/maxim-lian","followers_url":"https://api.github.com/users/maxim-lian/followers","following_url":"https://api.github.com/users/maxim-lian/following{/other_user}","gists_url":"https://api.github.com/users/maxim-lian/gists{/gist_id}","starred_url":"https://api.github.com/users/maxim-lian/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/maxim-lian/subscriptions","organizations_url":"https://api.github.com/users/maxim-lian/orgs","repos_url":"https://api.github.com/users/maxim-lian/repos","events_url":"https://api.github.com/users/maxim-lian/events{/privacy}","received_events_url":"https://api.github.com/users/maxim-lian/received_events","type":"User","site_admin":false},"created_at":"2018-02-10T01:07:16Z","updated_at":"2018-02-10T01:07:16Z","author_association":"CONTRIBUTOR","body":"CSV also smaller! And no nesting possible so no loss there\r\n\r\nBut if json is preferred, I think you can use `orient=records`"}}
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