Utiliser les cartes polaires avec QML
Note : Ceci fait partie de l'exemple de la galerie Charts with QML.
Nous commençons par un graphique contenant une série de splines et une série de nuages de points avec des données aléatoires. Les deux séries utilisent les mêmes 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()); } } }
Le graphique suivant montre des données historiques précises pour lesquelles nous devons utiliser un DateTimeAxis et un AreaSeries.

PolarChartView { id: root title: "Historical Area Chart" 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: root.toMsecsSinceEpoch(new Date(1950, 0, 1)); y: 15 } XYPoint { x: root.toMsecsSinceEpoch(new Date(1962, 4, 1)); y: 35 } XYPoint { x: root.toMsecsSinceEpoch(new Date(1970, 0, 1)); y: 50 } XYPoint { x: root.toMsecsSinceEpoch(new Date(1978, 2, 1)); y: 75 } XYPoint { x: root.toMsecsSinceEpoch(new Date(1987, 11, 1)); y: 102 } XYPoint { x: root.toMsecsSinceEpoch(new Date(1992, 1, 1)); y: 132 } XYPoint { x: root.toMsecsSinceEpoch(new Date(1998, 7, 1)); y: 100 } XYPoint { x: root.toMsecsSinceEpoch(new Date(2002, 4, 1)); y: 120 } XYPoint { x: root.toMsecsSinceEpoch(new Date(2012, 8, 1)); y: 140 } XYPoint { x: root.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: root.toMsecsSinceEpoch(new Date(1950, 0, 1)); y: 30 } XYPoint { x: root.toMsecsSinceEpoch(new Date(1962, 4, 1)); y: 55 } XYPoint { x: root.toMsecsSinceEpoch(new Date(1970, 0, 1)); y: 80 } XYPoint { x: root.toMsecsSinceEpoch(new Date(1978, 2, 1)); y: 105 } XYPoint { x: root.toMsecsSinceEpoch(new Date(1987, 11, 1)); y: 125 } XYPoint { x: root.toMsecsSinceEpoch(new Date(1992, 1, 1)); y: 160 } XYPoint { x: root.toMsecsSinceEpoch(new Date(1998, 7, 1)); y: 140 } XYPoint { x: root.toMsecsSinceEpoch(new Date(2002, 4, 1)); y: 140 } XYPoint { x: root.toMsecsSinceEpoch(new Date(2012, 8, 1)); y: 170 } XYPoint { x: root.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; } }
Le graphique suivant utilise un CategoryAxis pour faciliter la compréhension des données.

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 } } }
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