{"action":"opened","issue":{"url":"https://api.github.com/repos/computationalmodelling/nbval/issues/6","repository_url":"https://api.github.com/repos/computationalmodelling/nbval","labels_url":"https://api.github.com/repos/computationalmodelling/nbval/issues/6/labels{/name}","comments_url":"https://api.github.com/repos/computationalmodelling/nbval/issues/6/comments","events_url":"https://api.github.com/repos/computationalmodelling/nbval/issues/6/events","html_url":"https://github.com/computationalmodelling/nbval/issues/6","id":159557668,"number":6,"title":"Getting error for timestamps, matplotlib figures and pandas DataFrames","user":{"login":"par2","id":15694632,"avatar_url":"https://avatars.githubusercontent.com/u/15694632?v=3","gravatar_id":"","url":"https://api.github.com/users/par2","html_url":"https://github.com/par2","followers_url":"https://api.github.com/users/par2/followers","following_url":"https://api.github.com/users/par2/following{/other_user}","gists_url":"https://api.github.com/users/par2/gists{/gist_id}","starred_url":"https://api.github.com/users/par2/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/par2/subscriptions","organizations_url":"https://api.github.com/users/par2/orgs","repos_url":"https://api.github.com/users/par2/repos","events_url":"https://api.github.com/users/par2/events{/privacy}","received_events_url":"https://api.github.com/users/par2/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2016-06-10T04:42:02Z","updated_at":"2016-06-10T04:42:02Z","closed_at":null,"body":"This a great plugin.   I'm getting unexpected errors for the following types of cells:\r\n\r\n- timestamps\r\n![2016-06-10 00_31_37-c__windows_system32_cmd exe](https://cloud.githubusercontent.com/assets/15694632/15954282/05f4decc-2ea3-11e6-98c8-1db05ad753f2.png)\r\n\r\n- matplotlib figures\r\n![2016-06-10 00_32_31-c__windows_system32_cmd exe](https://cloud.githubusercontent.com/assets/15694632/15954313/7c1f0dd4-2ea3-11e6-9654-53d6d7360c8b.png)\r\n\r\n- pandas dfs\r\n![2016-06-10 00_35_21-c__windows_system32_cmd exe](https://cloud.githubusercontent.com/assets/15694632/15954301/537354d0-2ea3-11e6-8a79-f6879348bfc0.png)\r\n\r\nAre there **workarounds for all** latter cell types such as an \"ignore flag\", and are there potential **code integrations for any** of the above types in future?  \r\n\r\nMany thanks.\r\n\r\n"}}
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