简介
Ohos-MPChart是OpenAtom OpenHarmony(简称“OpenHarmony”)系统显示各种图表视图的三方组件,用于声明式应用开发,提供了多种多样的图表视图,包括折线图、曲线图、柱形图、饼状图、K线图、雷达图、气泡图。适用于各种统计后的数据以视觉直观的方式呈现。
使用场景
Ohos-MPChart为广大OpenHarmony应用开发者在处理数据时,使数据显示更加直观。尤其现在的大数据时代面对愈加庞大的数据只需要导入Ohos-MPChart三方组件,然后调用相关的接口就能实现各种各样的图表以方便数据汇总。
效果展示
组件功能描述
Ohos-MPChart是一个强大的图表视图,主要提供多种多样的图表视图,包括折线图、曲线图、柱形图、饼状图、K线图等等,具体功能模块如下:
开发环境
安装IDE:支持DevEco Studio 3.0 Release(Build Version 3.0.0.993)版本。
安装SDK:支持OpenHarmony API version 8 及以上版本
使用方法
图表一:折线图
1.下载Ohos-MPChart组件并导入LineChart自定义组件:
//下载mpchart组件
npm install @ohos/mpchart --save
import { LineChart } from '@ohos/ohos_mpchart'
2.初始化数据
aboutToAppear() {
this.lineData = this.initCurveData(45, 100);
this.topAxis.setLabelCount(5, false);
this.topAxis.setPosition(XAxisPosition.TOP);
this.topAxis.setAxisMinimum(0);
this.topAxis.setAxisMaximum(50);
this.bottomAxis.setLabelCount(5, false);
this.bottomAxis.setPosition(XAxisPosition.BOTTOM);
this.bottomAxis.setAxisMinimum(0);
this.bottomAxis.setAxisMaximum(50);
this.bottomAxis.setDrawAxisLine(false);
this.bottomAxis.setDrawLabels(false)
this.leftAxis = new YAxis(AxisDependency.LEFT);
this.leftAxis.setLabelCount(7, false);
this.leftAxis.setPosition(YAxisLabelPosition.OUTSIDE_CHART);
this.leftAxis.setSpaceTop(15);
this.leftAxis.setAxisMinimum(-50);
this.leftAxis.setAxisMaximum(200);
this.leftAxis.enableGridDashedLine(5,5,0)
this.rightAxis = new YAxis(AxisDependency.RIGHT);
this.rightAxis.setDrawGridLines(false);
this.rightAxis.setLabelCount(7, false);
this.rightAxis.setSpaceTop(11);
this.rightAxis.setAxisMinimum(-50); // this replaces setStartAtZero(true)
this.rightAxis.setAxisMaximum(200);
this.rightAxis.setDrawAxisLine(false);
var upperLimtLine:LimitLine= new LimitLine(150, "Upper Limit");
upperLimtLine.setLineWidth(4);
upperLimtLine.enableDashedLine(10, 10, 0);
upperLimtLine.setLabelPosition(LimitLabelPosition.RIGHT_TOP);
upperLimtLine.setTextSize(10);
var lowerLimtLine:LimitLine= new LimitLine(-30, "Lower Limit");
lowerLimtLine.setLineWidth(4);
lowerLimtLine.enableDashedLine(5, 5, 0);
lowerLimtLine.setLabelPosition(LimitLabelPosition.RIGHT_BOTTOM);
lowerLimtLine.setTextSize(10);
this.leftAxis.setDrawLimitLinesBehindData(true);
this.leftAxis.addLimitLine(upperLimtLine);
this.leftAxis.addLimitLine(lowerLimtLine);
}
private initCurveData(count: number, range: number): LineData {
let values = new JArrayList<EntryOhos>();
for (let i = 0; i < 50; i++) {
let val: number = Math.random() * 180-30;
values.add(newEntryOhos(i, val));
}
let gradientFillColor =newArray<ColorStop>();
gradientFillColor.push(['#ffff0000',0.1])
gradientFillColor.push(['#00ff0000',1.0])
let dataSet =newJArrayList<ILineDataSet>();
let set1 =newLineDataSet(values,"DataSet 1");
set1.setDrawFilled(true);
set1.enableDashedLine(10,5,0)
set1.setMode(Mode.LINEAR);
set1.setGradientFillColor(gradientFillColor)
set1.setColorByColor(Color.Black);
set1.setLineWidth(1)
set1.setDrawCircles(true);
set1.setCircleColor(Color.Black);
set1.setCircleRadius(2);
set1.setCircleHoleRadius(1)
set1.setCircleHoleColor(Color.Green)
set1.setDrawCircleHole(false)
dataSet.add(set1);
returnnewLineData(dataSet)
}
3.添加数据到自定义曲线图表组件
build() {
Stack({ alignContent: Alignment.TopStart }) {
LineChart({
topAxis: this.topAxis,
bottomAxis: this.bottomAxis,
width: this.width,
height: this.height,
minOffset: this.minOffset,
leftAxis: this.leftAxis,
rightAxis: this.rightAxis,
lineData: this.lineData,
})
}
}
图表二:柱状图
1.导入BarChart自定义组件:
import{BarChart,BarChartModel} from '@ohos/ohos_mpchart'
2.初始化数据
@State model:BarChartModel = new BarChartModel();
width: number = 350; //表的宽度
height: number = 500; //表的高度
minOffset: number = 15; //X轴线偏移量
leftAxis: YAxis = null;
rightAxis: YAxis = null;
bottomAxis: XAxis = new XAxis();
private aboutToAppear(){
this.leftAxis = new YAxis(AxisDependency.LEFT);
this.leftAxis.setLabelCount(6, false);
this.leftAxis.setPosition(YAxisLabelPosition.OUTSIDE_CHART);
this.leftAxis.setSpaceTop(15);
this.leftAxis.setAxisMinimum(0);
this.leftAxis.setAxisMaximum(110);
this.leftAxis.enableGridDashedLine(10,10,0)
this.rightAxis = new YAxis(AxisDependency.RIGHT);
this.rightAxis.setDrawGridLines(false);
this.rightAxis.setLabelCount(6, false);
this.rightAxis.setSpaceTop(11);
this.rightAxis.setAxisMinimum(0);
this.rightAxis.setAxisMaximum(110);
this.bottomAxis.setLabelCount(5, false);
this.bottomAxis.setPosition(XAxisPosition.BOTTOM);
this.bottomAxis.setAxisMinimum(0);
this.bottomAxis.setAxisMaximum(10);
this.setData(this.bottomAxis.getAxisMaximum(),this.leftAxis.getAxisMaximum())
this.model.width = this.width;
this.model.height = this.height;
this.model.init();
this.model.setDrawBarShadow(false);
this.model.setDrawValueAboveBar(true);
this.model.getDescription().setEnabled(false);
this.model.setMaxVisibleValueCount(60);
this.model.setLeftYAxis(this.leftAxis);
this.model.setRightYAxis(this.rightAxis);
this.model.setXAxis(this.bottomAxis)
this.model.mRenderer.initBuffers();
this.model.prepareMatrixValuePx();
}
private setData(count: number, range: number) {
let groupSpace: number = 0.08;
let barSpace: number = 0.03; // x4 DataSet
let barWidth: number = 0.2; // x4 DataSet
let groupCount: number = count + 1;
let startYear: number = 1980;
letendYear: number = startYear + groupCount;
letvalues1:JArrayList<BarEntry>=
newJArrayList<BarEntry>();
letvalues2:JArrayList<BarEntry>=
newJArrayList<BarEntry>();
letvalues3:JArrayList<BarEntry>=
newJArrayList<BarEntry>();
letvalues4:JArrayList<BarEntry>=
newJArrayList<BarEntry>();
letrandomMultiplier: number = range;
for(let i = startYear; i < endYear; i++){
values1.add(newBarEntry(i,
(Math.random()* randomMultiplier)))
values2.add(newBarEntry(i,
(Math.random()* randomMultiplier)))
values3.add(newBarEntry(i,
(Math.random()* randomMultiplier)))
values4.add(newBarEntry(i,
(Math.random()* randomMultiplier)))
}
letset1: BarDataSet,set2:
BarDataSet,set3: BarDataSet,set4: BarDataSet;
if(this.model.getBarData()!=null&&
this.model.getBarData().getDataSetCount()>0){
set1 =this.model.getBarData().getDataSetByIndex(0) as BarDataSet;
set2 =this.model.getBarData().getDataSetByIndex(1) as BarDataSet;
set3 =this.model.getBarData().getDataSetByIndex(2) as BarDataSet;
set4 =this.model.getBarData().getDataSetByIndex(3) as BarDataSet;
set1.setValues(values1);
set2.setValues(values2);
set3.setValues(values3);
set4.setValues(values4);
this.model.getBarData().notifyDataChanged();
this.model.notifyDataSetChanged();
}else{
letcolors: number[]=
[Color.rgb(104,241,175),Color.rgb(164,228,251),Color.rgb(242,247,158),Color.rgb(255,102,0)];
set1 =newBarDataSet(values1,"Company A");
set1.setColorsByArr(colors);
set2 =newBarDataSet(values2,"Company B");
set2.setColorsByArr(colors);
set3 =newBarDataSet(values3,"Company C");
set3.setColorsByArr(colors);
set4 =newBarDataSet(values2,"Company D");
set4.setColorsByArr(colors);
letdataSets: JArrayList<IBarDataSet>=
newJArrayList<IBarDataSet>();
dataSets.add(set1);
dataSets.add(set2);
dataSets.add(set3);
dataSets.add(set4);
letdata: BarData =newBarData(dataSets);
this.model.setData(data);
}
this.model.getBarData().setBarWidth(barWidth);
this.bottomAxis.setAxisMinimum(startYear);
this.bottomAxis.setAxisMaximum(startYear +this.model.getBarData().getGroupWidth(groupSpace, barSpace)* groupCount);
this.model.groupBars(startYear, groupSpace, barSpace);
}
3.添加数据到自定义曲线图表组件
build() {
Stack(){
BarChart({model:this.model})
}
}
图表三:饼状图
1.导入PieChart自定义组件:
import { PieChart } from '@ohos/ohos_mpchart'
2.初始化数据
pieData: PieData = null;
@State pieModel: PieChart.Model = new PieChart.Model()
@State @Watch("seekBarXValueWatch")
seekBarX: SeekBar.Model = new SeekBar.Model()
@State @Watch("seekBarYValueWatch")
seekBarY: SeekBar.Model = new SeekBar.Model()
parties: string[] = [
"Party A", "Party B", "Party C", "Party D", "Party E", "Party F", "Party G", "Party H",
"Party I", "Party J", "Party K", "Party L", "Party M", "Party N", "Party O", "Party P",
"Party Q", "Party R", "Party S", "Party T", "Party U", "Party V", "Party W", "Party X",
"Party Y", "Party Z"]
private aboutToAppear(): void {
this.pieData = this.initPieData(4, 10);
this.pieModel
.setPieData(this.pieData)
.setRadius(150)
.setHoleRadius(0.5)
.setOffset(new MPPointF(160,200)) // vp
}
private initPieData(count: number,
range: number): PieData{
let entries = new JArrayList<PieEntry>();
for (var i = 0; i < count; i++) {
entries.add(new PieEntry(((Math.random() * range) + range / 5), this.parties[i % this.parties.length]))
}
// entries.add(new PieEntry(4,'Party A'))
// entries.add(new PieEntry(2,'Party B'))
// entries.add(new PieEntry(5,'Party C'))
// entries.add(new PieEntry(3,'Party D'))
let dataSet: PieDataSet = new PieDataSet(entries,
"Election Results");
dataSet.setDrawIcons(false);
dataSet.setSliceSpace(3);
dataSet.setIconsOffset(new MPPointF(0, 40));
dataSet.setSelectionShift(5);
// add a lot of colors
let colors: JArrayList<number> = new JArrayList();
for (let index = 0;
index < ColorTemplate.VORDIPLOM_COLORS.length; index++) {
colors.add(ColorTemplate.VORDIPLOM_COLORS[index]);
}
for(let index =0;
index < ColorTemplate.JOYFUL_COLORS.length; index++){
colors.add(ColorTemplate.JOYFUL_COLORS[index]);
}
for(let index =0;
index < ColorTemplate.COLORFUL_COLORS.length; index++){
colors.add(ColorTemplate.COLORFUL_COLORS[index]);
}
for(let index =0;
index < ColorTemplate.LIBERTY_COLORS.length; index++){
colors.add(ColorTemplate.LIBERTY_COLORS[index]);
}
for(let index =0;
index < ColorTemplate.PASTEL_COLORS.length; index++){
colors.add(ColorTemplate.PASTEL_COLORS[index]);
}
colors.add(ColorTemplate.getHoloBlue());
dataSet.setColorsByList(colors);
returnnewPieData(dataSet)
}
3.添加数据到自定义曲线图表组件
build() {
Column() {
PieChart({
model: this.pieModel
})
}
图表四:雷达图
1.导入RadarChart自定义组件:
import { RadarChart } from '@ohos/ohos_mpchart';
2.初始化数据
width: number = 300; //表的宽度
height: number = 300 //表的高度
minOffset: number = 5; //X轴线偏移量
xAxis: XAxis = new XAxis(); //顶部X轴
yAxis: YAxis = new YAxis();
data:RadarData= new RadarData();
@State
radarChartMode:RadarChartMode=new RadarChartMode();
public aboutToAppear() {
this.model.menuItemArr = this.menuItemArr
this.model.title = this.title
this.data=this.initRadarData( 5,50)
this.xAxis.setTextSize(9);
this.xAxis.setYOffset(0);
this.xAxis.setXOffset(0);
this.xAxis.setTextColor(Color.White);
const mActivities:string[] = ["Burger", "Steak", "Salad", "Pasta", "Pizza"];
this.xAxis.setValueFormatter(new
class RadarAxisValueFormatter
implements IAxisValueFormatter{
public getFormattedValue( value:number,
axis:AxisBase):string {
return mActivities[value % mActivities.length];
}
});
this.xAxis.longest=mActivities[0];
this.yAxis.setLabelCount(5, false);
this.yAxis.setTextSize(9);
this.yAxis.setAxisMinimum(0);
this.yAxis.setAxisMaximum(80);
this.yAxis.setDrawLabels(false);
this.radarChartMode.mRotateEnabled=false
this.radarChartMode.setYExtraOffset(this.model.height)
this.radarChartMode.setXAxis(this.xAxis)
this.radarChartMode.setYAxis(this.yAxis)
this.radarChartMode.setWidth(this.width)
this.radarChartMode.setHeight(this.height)
this.radarChartMode.setMinOffset(this.minOffset)
this.radarChartMode.setData(this.data)
this.radarChartMode.setPaddingLeft(30)
this.radarChartMode.setPaddingTop(100)
this.radarChartMode.init();
//this.animate('Animate XY')
}
private initRadarData(count: number,
range: number): RadarData {
let mul:number = 80;
let min:number = 20;
let cnt:number =5;
let entries1 =newJArrayList<RadarEntry>();
let entries2 =newJArrayList<RadarEntry>();
//NOTE: The order of the entries when being added to the entries array determines their position around the center of
// the chart.
for(let i =0; i < cnt; i++){
letval1:number = Math.random()* mul + min;
entries1.add(newRadarEntry(val1));
letval2:number = Math.random()* mul + min;
entries2.add(newRadarEntry(val2));
}
letset1:RadarDataSet =newRadarDataSet(entries1,
"Last Week");
set1.setColorByColor(0xb4676e81);
set1.setFillColor(0xb4676e81);
set1.setDrawFilled(true);
set1.setFillAlpha(180);
set1.setLineWidth(2);
set1.setDrawHighlightCircleEnabled(true);
set1.setDrawHighlightIndicators(false);
set1.setHighlightCircleStrokeColor(0xffffffff);
set1.setHighlightCircleFillColor(0xb4676e81)
set1.setDrawValues(true)
set1.setIconsOffset(newMPPointF(0,px2vp(0)));
letset2:RadarDataSet =newRadarDataSet(entries2,"This Week");
set2.setColorByColor(0xb479a2af);
set2.setFillColor(0xb479a2af);
set2.setDrawFilled(true);
set2.setFillAlpha(180);
set2.setLineWidth(2);
set2.setDrawHighlightCircleEnabled(true);
set2.setDrawHighlightIndicators(false);
set2.setHighlightCircleStrokeColor(0xffffffff);
set2.setHighlightCircleFillColor(0xb479a2af)
set2.setDrawValues(true)
set2.setIconsOffset(newMPPointF(0,px2vp(0)));
let sets =newJArrayList<IRadarDataSet>();
sets.add(set1);
sets.add(set2);
//
letdata:RadarData =newRadarData(sets);
data.setValueTextSize(8);
data.setDrawValues(this.isDrawValuesEnable);
data.setValueTextColor(Color.White);
return data
}
public getFormattedValue(value: number): string {
var str =String(value.toFixed(1)).split(".");
if(str[1]=="0"){
return str[0];
}else{
returnString(value.toFixed(1))
}
}
3.添加数据到自定义曲线图表组件
build() {
Column() {
Stack({ alignContent: Alignment.TopStart }) {
RadarChart({
radarChartMode:this.radarChartMode,
})
}
}
}
其他图表使用方式与以上图表使用方法基本一致
经常有很多小伙伴抱怨说:不知道学习鸿蒙开发哪些技术?不知道需要重点掌握哪些鸿蒙应用开发知识点?
为了能够帮助到大家能够有规划的学习,这里特别整理了一套纯血版鸿蒙(HarmonyOS Next)全栈开发技术的学习路线,包含了鸿蒙开发必掌握的核心知识要点,内容有(ArkTS、ArkUI开发组件、Stage模型、多端部署、分布式应用开发、WebGL、元服务、OpenHarmony多媒体技术、Napi组件、OpenHarmony内核、OpenHarmony驱动开发、系统定制移植等等)鸿蒙(HarmonyOS NEXT)技术知识点。
《鸿蒙 (Harmony OS)开发学习手册》(共计892页)
如何快速入门?
1.基本概念
2.构建第一个ArkTS应用
3.……
开发基础知识:
1.应用基础知识
2.配置文件
3.应用数据管理
4.应用安全管理
5.应用隐私保护
6.三方应用调用管控机制
7.资源分类与访问
8.学习ArkTS语言
9.……
基于ArkTS 开发
1.Ability开发
2.UI开发
3.公共事件与通知
4.窗口管理
5.媒体
6.安全
7.网络与链接
8.电话服务
9.数据管理
10.后台任务(Background Task)管理
11.设备管理
12.设备使用信息统计
13.DFX
14.国际化开发
15.折叠屏系列
16.……
鸿蒙开发面试真题(含参考答案)
OpenHarmony 开发环境搭建
《OpenHarmony源码解析》
- 搭建开发环境
- Windows 开发环境的搭建
- Ubuntu 开发环境搭建
- Linux 与 Windows 之间的文件共享
- ……
- 系统架构分析
- 构建子系统
- 启动流程
- 子系统
- 分布式任务调度子系统
- 分布式通信子系统
- 驱动子系统
- ……
OpenHarmony 设备开发学习手册