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- /* Flot plugin for plotting images.
- Copyright (c) 2007-2013 IOLA and Ole Laursen.
- Licensed under the MIT license.
- The data syntax is [ [ image, x1, y1, x2, y2 ], ... ] where (x1, y1) and
- (x2, y2) are where you intend the two opposite corners of the image to end up
- in the plot. Image must be a fully loaded Javascript image (you can make one
- with new Image()). If the image is not complete, it's skipped when plotting.
- There are two helpers included for retrieving images. The easiest work the way
- that you put in URLs instead of images in the data, like this:
- [ "myimage.png", 0, 0, 10, 10 ]
- Then call $.plot.image.loadData( data, options, callback ) where data and
- options are the same as you pass in to $.plot. This loads the images, replaces
- the URLs in the data with the corresponding images and calls "callback" when
- all images are loaded (or failed loading). In the callback, you can then call
- $.plot with the data set. See the included example.
- A more low-level helper, $.plot.image.load(urls, callback) is also included.
- Given a list of URLs, it calls callback with an object mapping from URL to
- Image object when all images are loaded or have failed loading.
- The plugin supports these options:
- series: {
- images: {
- show: boolean
- anchor: "corner" or "center"
- alpha: [ 0, 1 ]
- }
- }
- They can be specified for a specific series:
- $.plot( $("#placeholder"), [{
- data: [ ... ],
- images: { ... }
- ])
- Note that because the data format is different from usual data points, you
- can't use images with anything else in a specific data series.
- Setting "anchor" to "center" causes the pixels in the image to be anchored at
- the corner pixel centers inside of at the pixel corners, effectively letting
- half a pixel stick out to each side in the plot.
- A possible future direction could be support for tiling for large images (like
- Google Maps).
- */(function(e){function n(e,t,n){var r=e.getPlotOffset();if(!n.images||!n.images.show)return;var i=n.datapoints.points,s=n.datapoints.pointsize;for(var o=0;o<i.length;o+=s){var u=i[o],a=i[o+1],f=i[o+2],l=i[o+3],c=i[o+4],h=n.xaxis,p=n.yaxis,d;if(!u||u.width<=0||u.height<=0)continue;a>l&&(d=l,l=a,a=d),f>c&&(d=c,c=f,f=d),n.images.anchor=="center"&&(d=.5*(l-a)/(u.width-1),a-=d,l+=d,d=.5*(c-f)/(u.height-1),f-=d,c+=d);if(a==l||f==c||a>=h.max||l<=h.min||f>=p.max||c<=p.min)continue;var v=0,m=0,g=u.width,y=u.height;a<h.min&&(v+=(g-v)*(h.min-a)/(l-a),a=h.min),l>h.max&&(g+=(g-v)*(h.max-l)/(l-a),l=h.max),f<p.min&&(y+=(m-y)*(p.min-f)/(c-f),f=p.min),c>p.max&&(m+=(m-y)*(p.max-c)/(c-f),c=p.max),a=h.p2c(a),l=h.p2c(l),f=p.p2c(f),c=p.p2c(c),a>l&&(d=l,l=a,a=d),f>c&&(d=c,c=f,f=d),d=t.globalAlpha,t.globalAlpha*=n.images.alpha,t.drawImage(u,v,m,g-v,y-m,a+r.left,f+r.top,l-a,c-f),t.globalAlpha=d}}function r(e,t,n,r){if(!t.images.show)return;r.format=[{required:!0},{x:!0,number:!0,required:!0},{y:!0,number:!0,required:!0},{x:!0,number:!0,required:!0},{y:!0,number:!0,required:!0}]}function i(e){e.hooks.processRawData.push(r),e.hooks.drawSeries.push(n)}var t={series:{images:{show:!1,alpha:1,anchor:"corner"}}};e.plot.image={},e.plot.image.loadDataImages=function(t,n,r){var i=[],s=[],o=n.series.images.show;e.each(t,function(t,n){if(!o&&!n.images.show)return;n.data&&(n=n.data),e.each(n,function(e,t){typeof t[0]=="string"&&(i.push(t[0]),s.push(t))})}),e.plot.image.load(i,function(t){e.each(s,function(e,n){var r=n[0];t[r]&&(n[0]=t[r])}),r()})},e.plot.image.load=function(t,n){var r=t.length,i={};r==0&&n({}),e.each(t,function(t,s){var o=function(){--r,i[s]=this,r==0&&n(i)};e("<img />").load(o).error(o).attr("src",s)})},e.plot.plugins.push({init:i,options:t,name:"image",version:"1.1"})})(jQuery);
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