微信小程序图表插件(wx-charts)基于canvas绘制,体积小巧,支持图表类型饼图、线图、柱状图 、区域图等图表图形绘制,目前wx-charts是微信小程序图表插件中比较强大好使的一个
支持图标类型
如何使用?
1.直接引用编译好的文件 dist/charts.js charts.js 下载地址
.wxml中定义
canvas-id与new wxCharts({canvasId:”})中canvasId一致
2. 命令行
git clone github.com/xiaolin3303/wx-charts.git
npm install rollup -g
npm install
rollup -c 或者 rollup --config rollup.config.prod.js
参数说明
opts Object
opts.canvasId String required 微信小程序canvas-id
opts.width Number required canvas宽度,单位为px
opts.height Number required canvas高度,单位为px
opts.title Object (only for ring chart)
opts.title.name String 标题内容
opts.title.fontSize Number 标题字体大小(可选,单位为px)
opts.title.color String 标题颜色(可选)
opts.subtitle Object (only for ring chart)
opts.subtitle.name String 副标题内容
opts.subtitle.fontSize Number 副标题字体大小(可选,单位为px)
opts.subtitle.color String 副标题颜色(可选)
opts.animation Boolean default true 是否动画展示
opts.legend Boolen default true 是否显示图表下方各类别的标识
opts.type String required 图表类型,可选值为pie, line, column, area……
opts.categories Array required (饼图、圆环图不需要) 数据类别分类
opts.dataLabel Boolean default true 是否在图表中显示数据内容值
opts.dataPointShape Boolean default true 是否在图表中显示数据点图形标识
opts.xAxis Object X轴配置
opts.xAxis.disableGrid Boolean default false 不绘制X轴网格
opts.yAxis Object Y轴配置
opts.yAxis.format Function 自定义Y轴文案显示
opts.yAxis.min Number Y轴起始值
opts.yAxis.max Number Y轴终止值
opts.yAxis.title String Y轴title
opts.yAxis.disabled Boolean default false 不绘制Y轴
opts.series Array required 数据列表
数据列表每项结构定义
dataItem Object
dataItem.data Array required (饼图、圆环图为Number) 数据
dataItem.color String 例如#7cb5ec 不传入则使用系统默认配色方案
dataItem.name String 数据名称
dateItem.format Function 自定义显示数据内容
详见demo
1.pie
new wxCharts({
animation: true, //是否有动画
canvasId: 'pieCanvas',
type: 'pie',
series: [{
name: '成交量1',
data: 15,
}, {
name: '成交量2',
data: 35,
}, {
name: '成交量3',
data: 78,
}],
width: windowWidth,
height: 300,
dataLabel: true,
});
}
2. ring
new wxCharts({
animation: true,
canvasId: 'ringCanvas',
type: 'ring',
extra: {
ringWidth: 25,
pie: {
offsetAngle: -45
}
},
title: {
name: '70%',
color: '#7cb5ec',
fontSize: 25
},
subtitle: {
name: '收益率',
color: '#666666',
fontSize: 15
},
series: [{
name: '成交量1',
data: 15,
stroke: false
}, {
name: '成交量2',
data: 35,
stroke: false
}, {
name: '成交量3',
data: 78,
stroke: false
}, {
name: '成交量4',
data: 63,
stroke: false
}],
disablePieStroke: true,
width: windowWidth,
height: 200,
dataLabel: false,
legend: false,
padding: 0
});
3. line
new wxCharts({
canvasId: 'lineCanvas',
type: 'line',
categories: simulationData.categories,
animation: true,
background: '#f5f5f5',
series: [{
name: '成交量1',
data: simulationData.data,
format: function (val, name) {
return val.toFixed(2) + '万';
}
}, {
name: '成交量2',
data: [2, 0, 0, 3, null, 4, 0, 0, 2, 0],
format: function (val, name) {
return val.toFixed(2) + '万';
}
}],
xAxis: {
disableGrid: true
},
yAxis: {
title: '成交金额 (万元)',
format: function (val) {
return val.toFixed(2);
},
min: 0
},
width: windowWidth,
height: 200,
dataLabel: false,
dataPointShape: true,
extra: {
lineStyle: 'curve'
}
});
4. column
new wxCharts({
canvasId: 'columnCanvas',
type: 'column',
animation: true,
categories: chartData.main.categories,
series: [{
name: '成交量',
data: chartData.main.data,
format: function (val, name) {
return val.toFixed(2) + '万';
}
}],
yAxis: {
format: function (val) {
return val + '万';
},
title: 'hello',
min: 0
},
xAxis: {
disableGrid: false,
type: 'calibration'
},
extra: {
column: {
width: 15
}
},
width: windowWidth,
height: 200,
});
new wxCharts({
canvasId: 'areaCanvas',
type: 'area',
categories: ['1', '2', '3', '4', '5', '6'],
animation: true,
series: [{
name: '成交量1',
data: [32, 45, 0, 56, 33, 34],
format: function (val) {
return val.toFixed(2) + '万';
}
}, {
name: '成交量2',
data: [15, 20, 45, 37, 4, 80],
format: function (val) {
return val.toFixed(2) + '万';
},
}],
yAxis: {
title: '成交金额 (万元)',
format: function (val) {
return val.toFixed(2);
},
min: 0,
fontColor: '#8085e9',
gridColor: '#8085e9',
titleFontColor: '#f7a35c'
},
xAxis: {
fontColor: '#7cb5ec',
gridColor: '#7cb5ec'
},
extra: {
legendTextColor: '#cb2431'
},
width: windowWidth,
height: 200
});
new wxCharts({
canvasId: 'radarCanvas',
type: 'radar',
categories: ['1', '2', '3', '4', '5', '6'],
series: [{
name: '成交量1',
data: [90, 110, 125, 95, 87, 122]
}],
width: windowWidth,
height: 200,
extra: {
radar: {
max: 150
}
}
});
原文章链接
泡泡:
相对来说和实际应用有些差别,不过作为图表展示来说还是很好的,关于后续data中数据修改以及
实际开发中遇到的一些问题及解决方法,我会在后续发出来和大家共享