{"action":"created","issue":{"url":"https://api.github.com/repos/bokeh/bokeh/issues/4680","repository_url":"https://api.github.com/repos/bokeh/bokeh","labels_url":"https://api.github.com/repos/bokeh/bokeh/issues/4680/labels{/name}","comments_url":"https://api.github.com/repos/bokeh/bokeh/issues/4680/comments","events_url":"https://api.github.com/repos/bokeh/bokeh/issues/4680/events","html_url":"https://github.com/bokeh/bokeh/issues/4680","id":162321752,"number":4680,"title":"DataTable header height not large enough to fit header text - in Jupyter 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issues that need to be resolved soon, but not before the next release.\r\nThis milestone is always open and it gets populated from the either the long-term milestone or from new (unmilestoned) issues.\r\n\r\nRef: 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to repro (note: running in jupyter notebook):\r\n\r\n```\r\ndf = pd.DataFrame({'a': range(5), 'b': range(5)})\r\ncolumns = [TableColumn(field=k, title=k) for k in df.columns]\r\nsource = ColumnDataSource(df)\r\ndata_table = DataTable(source=source,columns=columns, fit_columns=True, row_headers=False, height=400)\r\n\r\nshow(widgetbox(data_table));\r\n```\r\n\r\n\r\n<img width=\"487\" alt=\"screen shot 2016-06-26 at 13 21 25\" src=\"https://cloud.githubusercontent.com/assets/2088/16361683/d484dfee-3ba0-11e6-8cdc-3d5b7368a492.png\">\r\n\r\n\r\n```\r\nPython version      :  3.5.1 (default, Dec 26 2015, 18:11:22)\r\nIPython version     :  4.2.0\r\nBokeh version       :  0.12.0rc4\r\nBokehJS static path :  /usr/local/lib/python3.5/site-packages/bokeh/server/static\r\n```\r\n\r\nObserved on most recent Firefox and Chrome.\r\n"},"comment":{"url":"https://api.github.com/repos/bokeh/bokeh/issues/comments/252018843","html_url":"https://github.com/bokeh/bokeh/issues/4680#issuecomment-252018843","issue_url":"https://api.github.com/repos/bokeh/bokeh/issues/4680","id":252018843,"user":{"login":"ijstokes","id":293525,"avatar_url":"https://avatars.githubusercontent.com/u/293525?v=3","gravatar_id":"","url":"https://api.github.com/users/ijstokes","html_url":"https://github.com/ijstokes","followers_url":"https://api.github.com/users/ijstokes/followers","following_url":"https://api.github.com/users/ijstokes/following{/other_user}","gists_url":"https://api.github.com/users/ijstokes/gists{/gist_id}","starred_url":"https://api.github.com/users/ijstokes/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ijstokes/subscriptions","organizations_url":"https://api.github.com/users/ijstokes/orgs","repos_url":"https://api.github.com/users/ijstokes/repos","events_url":"https://api.github.com/users/ijstokes/events{/privacy}","received_events_url":"https://api.github.com/users/ijstokes/received_events","type":"User","site_admin":false},"created_at":"2016-10-06T16:38:26Z","updated_at":"2016-10-06T16:38:26Z","body":"I'm suffering from this as well.  What's that fancy `vplot` trick @birdsarah suggested above may be a workaround?  Where does `vplot()` come from?  Is Bokeh using `qgrid` https://github.com/quantopian/qgrid to make the data table happen?"}}
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