{"action":"opened","issue":{"url":"https://api.github.com/repos/mwaskom/seaborn/issues/484","labels_url":"https://api.github.com/repos/mwaskom/seaborn/issues/484/labels{/name}","comments_url":"https://api.github.com/repos/mwaskom/seaborn/issues/484/comments","events_url":"https://api.github.com/repos/mwaskom/seaborn/issues/484/events","html_url":"https://github.com/mwaskom/seaborn/issues/484","id":63278781,"number":484,"title":"lmplot gives opaque (alpha=1) ci on faceting by columns","user":{"login":"Auerilas","id":9372234,"avatar_url":"https://avatars.githubusercontent.com/u/9372234?v=3","gravatar_id":"","url":"https://api.github.com/users/Auerilas","html_url":"https://github.com/Auerilas","followers_url":"https://api.github.com/users/Auerilas/followers","following_url":"https://api.github.com/users/Auerilas/following{/other_user}","gists_url":"https://api.github.com/users/Auerilas/gists{/gist_id}","starred_url":"https://api.github.com/users/Auerilas/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Auerilas/subscriptions","organizations_url":"https://api.github.com/users/Auerilas/orgs","repos_url":"https://api.github.com/users/Auerilas/repos","events_url":"https://api.github.com/users/Auerilas/events{/privacy}","received_events_url":"https://api.github.com/users/Auerilas/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-03-20T18:27:01Z","updated_at":"2015-03-20T18:27:01Z","closed_at":null,"body":"I'm trying to make a facetted lmplot. If I facet by columns, the ci ribbon in the second facet is solid colored:\r\n\r\n![figure_1](https://cloud.githubusercontent.com/assets/9372234/6758105/6db7864e-cefb-11e4-8dd1-2b7ba8c0bd9f.png)\r\n\r\nIf I facet by row, the ci ribbon is fine:\r\n\r\n![figure_2](https://cloud.githubusercontent.com/assets/9372234/6758120/848e81f6-cefb-11e4-9bb4-75c612156517.png)\r\n\r\nThis occurred using matplotlib v1.4.2.\r\n\r\nI upgraded to matplotlib v1.4.3 and the issue was resolved, so there seems to be some backwards-compatibility issues with the penultimate version of matplotlib (v1.4.2)."}}