Qt 5.7 | Qt Charts | Qml Polar Chart

Qt 5.7.1 Reference Documentation

# Qml Polar Chart

We begin with a chart that has a spline series and a scatter series with random data. Both series use the same axes.

      PolarChartView {
          title: "Two Series, Common Axes"
          anchors.fill: parent
          legend.visible: false
          antialiasing: true

          ValueAxis {
              id: axisAngular
              min: 0
              max: 20
              tickCount: 9
          }

          ValueAxis {
              id: axisRadial
              min: -0.5
              max: 1.5
          }

          SplineSeries {
              id: series1
              axisAngular: axisAngular
              axisRadial: axisRadial
              pointsVisible: true
          }

          ScatterSeries {
              id: series2
              axisAngular: axisAngular
              axisRadial: axisRadial
              markerSize: 10
          }
      }

      // Add data dynamically to the series
      Component.onCompleted: {
          for (var i = 0; i <= 20; i++) {
              series1.append(i, Math.random());
              series2.append(i, Math.random());
          }
      }

The next example shows a chart with some accurate historical data for which we need to use a DateTimeAxis and a AreaSeries.

      PolarChartView {
          title: "Historical Area Series"
          anchors.fill: parent
          legend.visible: false
          antialiasing: true

          DateTimeAxis {
              id: axis1
              format: "yyyy MMM"
              tickCount: 13
          }
          ValueAxis {
              id: axis2
          }
          LineSeries {
              id: lowerLine
              axisAngular: axis1
              axisRadial: axis2

              // Please note that month in JavaScript months are zero based, so 2 means March
              XYPoint { x: toMsecsSinceEpoch(new Date(1950, 0, 1)); y: 15 }
              XYPoint { x: toMsecsSinceEpoch(new Date(1962, 4, 1)); y: 35 }
              XYPoint { x: toMsecsSinceEpoch(new Date(1970, 0, 1)); y: 50 }
              XYPoint { x: toMsecsSinceEpoch(new Date(1978, 2, 1)); y: 75 }
              XYPoint { x: toMsecsSinceEpoch(new Date(1987, 11, 1)); y: 102 }
              XYPoint { x: toMsecsSinceEpoch(new Date(1992, 1, 1)); y: 132 }
              XYPoint { x: toMsecsSinceEpoch(new Date(1998, 7, 1)); y: 100 }
              XYPoint { x: toMsecsSinceEpoch(new Date(2002, 4, 1)); y: 120 }
              XYPoint { x: toMsecsSinceEpoch(new Date(2012, 8, 1)); y: 140 }
              XYPoint { x: toMsecsSinceEpoch(new Date(2013, 5, 1)); y: 150 }
          }
          LineSeries {
              id: upperLine
              axisAngular: axis1
              axisRadial: axis2

              // Please note that month in JavaScript months are zero based, so 2 means March
              XYPoint { x: toMsecsSinceEpoch(new Date(1950, 0, 1)); y: 30 }
              XYPoint { x: toMsecsSinceEpoch(new Date(1962, 4, 1)); y: 55 }
              XYPoint { x: toMsecsSinceEpoch(new Date(1970, 0, 1)); y: 80 }
              XYPoint { x: toMsecsSinceEpoch(new Date(1978, 2, 1)); y: 105 }
              XYPoint { x: toMsecsSinceEpoch(new Date(1987, 11, 1)); y: 125 }
              XYPoint { x: toMsecsSinceEpoch(new Date(1992, 1, 1)); y: 160 }
              XYPoint { x: toMsecsSinceEpoch(new Date(1998, 7, 1)); y: 140 }
              XYPoint { x: toMsecsSinceEpoch(new Date(2002, 4, 1)); y: 140 }
              XYPoint { x: toMsecsSinceEpoch(new Date(2012, 8, 1)); y: 170 }
              XYPoint { x: toMsecsSinceEpoch(new Date(2013, 5, 1)); y: 200 }
          }
          AreaSeries {
              axisAngular: axis1
              axisRadial: axis2
              lowerSeries: lowerLine
              upperSeries: upperLine
          }
      }
      // DateTimeAxis is based on QDateTimes so we must convert our JavaScript dates to
      // milliseconds since epoch to make them match the DateTimeAxis values
      function toMsecsSinceEpoch(date) {
          var msecs = date.getTime();
          return msecs;
      }

And the final example with a chart that uses a CategoryAxis to make the data easier to understand.

      PolarChartView {
          title: "Numerical Data for Dummies"
          anchors.fill: parent
          legend.visible: false
          antialiasing: true

          LineSeries {
              axisRadial: CategoryAxis {
                  min: 0
                  max: 30
                  CategoryRange {
                      label: "critical"
                      endValue: 2
                  }
                  CategoryRange {
                      label: "low"
                      endValue: 7
                  }
                  CategoryRange {
                      label: "normal"
                      endValue: 12
                  }
                  CategoryRange {
                      label: "high"
                      endValue: 18
                  }
                  CategoryRange {
                      label: "extremely high"
                      endValue: 30
                  }
              }

              axisAngular: ValueAxis {
                  tickCount: 13
              }

              XYPoint { x: 0; y: 4.3 }
              XYPoint { x: 1; y: 4.1 }
              XYPoint { x: 2; y: 4.7 }
              XYPoint { x: 3; y: 3.9 }
              XYPoint { x: 4; y: 5.2 }
              XYPoint { x: 5; y: 5.3 }
              XYPoint { x: 6; y: 6.1 }
              XYPoint { x: 7; y: 7.7 }
              XYPoint { x: 8; y: 12.9 }
              XYPoint { x: 9; y: 19.2 }
          }
      }

Files:

- qmlpolarchart/qml/qmlpolarchart/View1.qml
- qmlpolarchart/qml/qmlpolarchart/View2.qml
- qmlpolarchart/qml/qmlpolarchart/View3.qml
- qmlpolarchart/qml/qmlpolarchart/main.qml
- qmlpolarchart/main.cpp
- qmlpolarchart/qmlpolarchart.pro
- qmlpolarchart/resources.qrc