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View Full Version : Series renderer overide error



FoxXav
2 Mar 2012, 5:02 AM
Hi there !

I started to use Sencha designer 2 since two weeks.
I have looked for a way to add a little bar with another color on the top of each column of a column chart.

The way I found was to override the renderer function of the serie and create a new sprite to add on the graph for each column.


function(sprite, record, attr, index, store) {
var mark = Ext.create(Ext.draw.Sprite, { /* Here is the new sprite that I add at the top of each column */
type: 'rect',
fill: '#FF3333',
surface: sprite.surface,
width: attr.width+1,
x:attr.x,
y:attr.y,
height:4
});
mark.show(true);
}

attr.fill='#4444EE'; /* Here I change the color of the column */
return attr;
}

http://www.sencha.com/forum/image/png;base64,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

If there is a more simple way to do it I'm interested in it however my method work when testing on the browser but in the sencha designer 2 it mess up everything and give me this error :
TypeError: 'undefined' is not an object

See you

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