{"action":"opened","issue":{"url":"https://api.github.com/repos/mwaskom/seaborn/issues/736","labels_url":"https://api.github.com/repos/mwaskom/seaborn/issues/736/labels{/name}","comments_url":"https://api.github.com/repos/mwaskom/seaborn/issues/736/comments","events_url":"https://api.github.com/repos/mwaskom/seaborn/issues/736/events","html_url":"https://github.com/mwaskom/seaborn/issues/736","id":112292887,"number":736,"title":"How to speed up heatmap or clustermap function when I have a large data set?","user":{"login":"BioNinja","id":5889336,"avatar_url":"https://avatars.githubusercontent.com/u/5889336?v=3","gravatar_id":"","url":"https://api.github.com/users/BioNinja","html_url":"https://github.com/BioNinja","followers_url":"https://api.github.com/users/BioNinja/followers","following_url":"https://api.github.com/users/BioNinja/following{/other_user}","gists_url":"https://api.github.com/users/BioNinja/gists{/gist_id}","starred_url":"https://api.github.com/users/BioNinja/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/BioNinja/subscriptions","organizations_url":"https://api.github.com/users/BioNinja/orgs","repos_url":"https://api.github.com/users/BioNinja/repos","events_url":"https://api.github.com/users/BioNinja/events{/privacy}","received_events_url":"https://api.github.com/users/BioNinja/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-10-20T05:56:25Z","updated_at":"2015-10-20T05:56:25Z","closed_at":null,"body":"I love heatmap and clustermap function. They're pretty awsome. However, these two function are quite slow when I have large data sets (e.g. a data set with 8000 rows and 14 columns, it cost almost 4 mins ). And these function is quite slower than R.\r\n\r\n**see here**\r\n![1](https://cloud.githubusercontent.com/assets/5889336/10599206/4a1d7fa6-7732-11e5-80f3-8c1c6faee42e.PNG)\r\n\r\n\r\n\r\n\r\nIs there any good way to speed up? (For example, implement a method to use multi-cores of CPU)\r\nThanks"}}