##// END OF EJS Templates
Backport PR #2384: Adapt inline backend to changes in matplotlib...
Backport PR #2384: Adapt inline backend to changes in matplotlib Matplotlib recently merged https://github.com/matplotlib/matplotlib/pull/1125 that makes it simpler to use objective oriented figure creation by automatically creating the right canvas for the backend. To solve that all backends must provide a backend_xxx.FigureCanvas. This is obviosly missing from the inline backend. The change is needed to make the inline backend work with mpl's 1.2.x branch which is due to released soon. Simply setting the default canvas equal to a Agg canvas appears to work for both svg and png figures but I'm not sure weather that is the right approach. Should the canvas depend on the figure format and provide a svg canvas for a svg figure? (Note that before this change to matplotlib the canvas from a plt.figure call seams to be a agg type in all cases) Edit: I made the pull request against 0.13.1 since it would be good to have this in the stable branch for when mpl is released. Just let me know and I can rebase it against master

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projectdashboardmain.js
82 lines | 2.7 KiB | application/javascript | JavascriptLexer
//----------------------------------------------------------------------------
// Copyright (C) 2008-2011 The IPython Development Team
//
// Distributed under the terms of the BSD License. The full license is in
// the file COPYING, distributed as part of this software.
//----------------------------------------------------------------------------
//============================================================================
// On document ready
//============================================================================
$(document).ready(function () {
IPython.page = new IPython.Page();
$('div#tabs').tabs();
$('div#tabs').on('tabsselect', function (event, ui) {
var new_url = $('body').data('baseProjectUrl') + '#' + ui.panel.id;
window.history.replaceState({}, '', new_url);
});
$('div#main_app').addClass('border-box-sizing ui-widget');
$('div#notebooks_toolbar').addClass('ui-widget ui-helper-clearfix');
$('#new_notebook').button().click(function (e) {
window.open($('body').data('baseProjectUrl')+'new');
});
IPython.read_only = $('body').data('readOnly') === 'True';
IPython.notebook_list = new IPython.NotebookList('div#notebook_list');
IPython.cluster_list = new IPython.ClusterList('div#cluster_list');
IPython.login_widget = new IPython.LoginWidget('span#login_widget');
var interval_id=0;
// auto refresh every xx secondes, no need to be fast,
// update is done at least when page get focus
var time_refresh = 60; // in sec
var enable_autorefresh = function(){
//refresh immediately , then start interval
if($('.upload_button').length == 0)
{
IPython.notebook_list.load_list();
IPython.cluster_list.load_list();
}
if (!interval_id){
interval_id = setInterval(function(){
if($('.upload_button').length == 0)
{
IPython.notebook_list.load_list();
IPython.cluster_list.load_list();
}
}, time_refresh*1000);
}
}
var disable_autorefresh = function(){
clearInterval(interval_id);
interval_id = 0;
}
// stop autorefresh when page lose focus
$(window).blur(function() {
disable_autorefresh();
})
//re-enable when page get focus back
$(window).focus(function() {
enable_autorefresh();
});
// finally start it, it will refresh immediately
enable_autorefresh();
IPython.page.show();
// bound the upload method to the on change of the file select list
$("#alternate_upload").change(function (event){
IPython.notebook_list.handelFilesUpload(event,'form');
});
});