{"action":"created","issue":{"url":"https://api.github.com/repos/nilearn/nilearn/issues/379","labels_url":"https://api.github.com/repos/nilearn/nilearn/issues/379/labels{/name}","comments_url":"https://api.github.com/repos/nilearn/nilearn/issues/379/comments","events_url":"https://api.github.com/repos/nilearn/nilearn/issues/379/events","html_url":"https://github.com/nilearn/nilearn/issues/379","id":56147589,"number":379,"title":"Show colorbar with plot_glass_brain?","user":{"login":"gr21783","id":9019840,"avatar_url":"https://avatars.githubusercontent.com/u/9019840?v=3","gravatar_id":"","url":"https://api.github.com/users/gr21783","html_url":"https://github.com/gr21783","followers_url":"https://api.github.com/users/gr21783/followers","following_url":"https://api.github.com/users/gr21783/following{/other_user}","gists_url":"https://api.github.com/users/gr21783/gists{/gist_id}","starred_url":"https://api.github.com/users/gr21783/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gr21783/subscriptions","organizations_url":"https://api.github.com/users/gr21783/orgs","repos_url":"https://api.github.com/users/gr21783/repos","events_url":"https://api.github.com/users/gr21783/events{/privacy}","received_events_url":"https://api.github.com/users/gr21783/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/nilearn/nilearn/labels/Plotting","name":"Plotting","color":"5319e7"}],"state":"open","locked":false,"assignee":null,"milestone":{"url":"https://api.github.com/repos/nilearn/nilearn/milestones/6","labels_url":"https://api.github.com/repos/nilearn/nilearn/milestones/6/labels","id":956487,"number":6,"title":"pre 0.1 release sprint","description":"","creator":{"login":"lesteve","id":1680079,"avatar_url":"https://avatars.githubusercontent.com/u/1680079?v=3","gravatar_id":"","url":"https://api.github.com/users/lesteve","html_url":"https://github.com/lesteve","followers_url":"https://api.github.com/users/lesteve/followers","following_url":"https://api.github.com/users/lesteve/following{/other_user}","gists_url":"https://api.github.com/users/lesteve/gists{/gist_id}","starred_url":"https://api.github.com/users/lesteve/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lesteve/subscriptions","organizations_url":"https://api.github.com/users/lesteve/orgs","repos_url":"https://api.github.com/users/lesteve/repos","events_url":"https://api.github.com/users/lesteve/events{/privacy}","received_events_url":"https://api.github.com/users/lesteve/received_events","type":"User","site_admin":false},"open_issues":14,"closed_issues":1,"state":"open","created_at":"2015-01-29T09:22:14Z","updated_at":"2015-02-03T10:38:29Z","due_on":"2015-02-04T23:00:00Z","closed_at":null},"comments":10,"created_at":"2015-02-01T01:30:03Z","updated_at":"2015-02-03T10:59:22Z","closed_at":null,"body":"Is this possible?  I only see true/false, and I only see this option for plot_stat_map, not plot_glass_brain for instance.\r\n\r\nYet, I can manipulate all the colormap properties fine:\r\n\r\nf, axarr = plt.subplots(20)  \r\nf.set_size_inches(10,40)  #(width, length)[inches]\r\n\r\nnilearn.plotting.plot_glass_brain(os.path.join(file_path, file_name), \r\n                                  axes=axarr[0], cmap=cmx.rainbow, vmin=-8, vmax=8, threshold = 4)\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/nilearn/nilearn/issues/comments/72631690","html_url":"https://github.com/nilearn/nilearn/issues/379#issuecomment-72631690","issue_url":"https://api.github.com/repos/nilearn/nilearn/issues/379","id":72631690,"user":{"login":"lesteve","id":1680079,"avatar_url":"https://avatars.githubusercontent.com/u/1680079?v=3","gravatar_id":"","url":"https://api.github.com/users/lesteve","html_url":"https://github.com/lesteve","followers_url":"https://api.github.com/users/lesteve/followers","following_url":"https://api.github.com/users/lesteve/following{/other_user}","gists_url":"https://api.github.com/users/lesteve/gists{/gist_id}","starred_url":"https://api.github.com/users/lesteve/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lesteve/subscriptions","organizations_url":"https://api.github.com/users/lesteve/orgs","repos_url":"https://api.github.com/users/lesteve/repos","events_url":"https://api.github.com/users/lesteve/events{/privacy}","received_events_url":"https://api.github.com/users/lesteve/received_events","type":"User","site_admin":false},"created_at":"2015-02-03T10:59:22Z","updated_at":"2015-02-03T10:59:22Z","body":"> threshold will still be the smallest value that can be observed\r\n\r\nAgreed. I guess my comment was with the above plot in mind where the colorbar vmin will be above the threshold (by construction there will be no value in the glass brain below the threshold). You are right that you could pass vmin=0 to plot_glass_brain in which case it would make sense to show the threshold."}}