Difference between revisions of "2012 Winter Project Week:Charts"
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** Chart type, show lines, show grid, show legend, title, x-axis label, y-axis label | ** Chart type, show lines, show grid, show legend, title, x-axis label, y-axis label | ||
Revision as of 20:54, 2 February 2012
Home < 2012 Winter Project Week:Charts
Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
Key Investigators
- GE: Jim Miller, Kedar Patwardhan
- Isomics: Steve Pieper
Objective
Develop a view for charting that can be packed in a Slicer Layout. Charts will be able to display line graphs, bar graphs, histograms, etc.
Approach, Plan
The approach is to model the new view after the SliceViews and ThreeDViews. This requires
- ChartViewNode - one to one with a ChartView
- ChartNode - contains a list to DoubleArrayNodes to display in the chart and contains the chart properties
- ChartWidget - contains a controller and chart view
- ChartViewControllerWidget - popup to control the content and properties of a chart
- ChartView - widget to display the actual chart
We will leverage a Javascript plotting library called jqplot to increase the speed of development. This library will only be used inside the ChartView and will not be exposed to the rest of Slicer. Thus, the whole charting infrastructure will be pure MRML and Qt. Other charting libraries, say VTK, could also be implemented when we need to trade off style and speed.
To use jqplot, the initial ChartView will be a subclass of qWebView.
Progress
Initial ChartNode, ChartViewNode, ChartControllerWidget (placeholder), ChartView, and ChartWidget have been constructed. Charts can be defined in MRML and presented in the ChartView.
Progress since Project Week
- Chart resizing with window
- Chart properties at the Chart and Array level
- Chart type, show lines, show grid, show legend, title, x-axis label, y-axis label
- Chart types: line and bar
- ChartController to modify parameters
- Chart zooming
- dataPointClicked() signal - Qt signal that fires when user clicks on a data point
