一、折线图，柱状图
https://echarts.apache.org/zh/index.html echarts 官网
更多配置项可以去官网查看
在开始项目之前，确保您已经安装了以下工具和技术：
- MySQL 数据库：用于存储和管理数据。
- Java 后端：用于创建后端应用程序，提供数据 API 和数据库连接。
- Vue.js 前端：用于构建前端界面，呈现数据可视化图表。
- ECharts：用于创建各种类型的图表和数据可视化。
步骤 1: 创建表 以及生成数据
-- 创建产品表 CREATE TABLE a_products ( product_id INT PRIMARY KEY COMMENT '产品ID', product_name VARCHAR(255) COMMENT '产品名称', unit_price DECIMAL(10, 2) COMMENT '产品单价（带两位小数）' ) COMMENT '存储产品信息'; -- 创建销售表 CREATE TABLE a_sales ( sale_id INT PRIMARY KEY COMMENT '销售ID', product_id INT COMMENT '产品ID（外键，关联到products表）', sale_date DATE COMMENT '销售日期', quantity INT COMMENT '销售数量', revenue DECIMAL(10, 2) COMMENT '销售收入（带两位小数）' ) COMMENT '存储销售数据'; -- 插入产品数据 INSERT INTO a_products (product_id, product_name, unit_price) VALUES (1, 'Product A', 10.50), (2, 'Product B', 15.75); -- 插入销售数据 INSERT INTO a_sales (sale_id, product_id, sale_date, quantity, revenue) VALUES (1, 1, '2023-11-01', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (2, 1, '2023-11-02', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (3, 1, '2023-11-03', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (4, 1, '2023-11-04', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (5, 1, '2023-11-05', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (6, 1, '2023-11-01', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (7, 1, '2023-11-02', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (8, 1, '2023-11-03', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (9, 1, '2023-11-04', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (10, 1, '2023-11-05', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)); -- For product_id 2 INSERT INTO a_sales (sale_id, product_id, sale_date, quantity, revenue) VALUES (11, 2, '2023-11-01', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (12, 2, '2023-11-02', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (13, 2, '2023-11-03', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (14, 2, '2023-11-04', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (15, 2, '2023-11-05', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (16, 2, '2023-11-01', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (17, 2, '2023-11-02', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (18, 2, '2023-11-03', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (19, 2, '2023-11-04', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2)), (20, 2, '2023-11-05', FLOOR(RAND() * 20) + 1, ROUND(RAND() * 100, 2));
步骤2.数据库查询 SQL
-- 查询销售数据 SELECT s.sale_date AS saleDate, p.product_name AS productName, COALESCE(SUM(s.quantity), 0) AS totalQuantity, COALESCE(SUM(s.revenue), 0) AS totalRevenue FROM a_products p LEFT JOIN a_sales s ON p.product_id = s.product_id GROUP BY s.sale_date, p.product_name
查询结果:
步骤3. 创建实体类
import lombok.Data; import java.util.List; @Data public class SalesDTO { @ApiModelProperty(value = "日期") private String saleDate; @ApiModelProperty(value = "产品名") private String productName; @ApiModelProperty(value = "销售数量") private int totalQuantity; @ApiModelProperty(value = "销售额") private double totalRevenue; // 省略构造函数、getter和setter 如果引入了lombok.Data不需要 }
步骤四: SalesMapper
public interface SalesMapper { /** * 根据产品名称统计产品售出数量 * @param * @return */ List<SalesDTO> getProductSalesSummary(@Param("productName") String productName); /** * 获取所有产品 * @return */ List<String> getAllProductName(); }
步骤五:SalesMapper.xml
<?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd"> <mapper namespace="org.jeecg.modules.statistics.mapper.SalesMapper"> <resultMap id="SalesDTOResultMap" type="org.jeecg.modules.statistics.entity.SalesDTO"> <id property="saleDate" column="saleDate"/> <result property="productName" column="productName"/> <result property="totalQuantity" column="totalQuantity"/> <result property="totalRevenue" column="totalRevenue"/> </resultMap> <select id="getProductSalesSummary" resultMap="SalesDTOResultMap"> SELECT s.sale_date AS saleDate, p.product_name AS productName, COALESCE(SUM(s.quantity), 0) AS totalQuantity, COALESCE(SUM(s.revenue), 0) AS totalRevenue FROM a_products p LEFT JOIN a_sales s ON p.product_id = s.product_id <where> <if test="productName != null and productName != ''"> and p.product_name =#{productName} </if> </where> GROUP BY s.sale_date, p.product_name </select> <select id="getAllProductName" resultType="java.lang.String"> SELECT product_name FROM a_products GROUP BY product_name </select> </mapper>
步骤七:SalesController
package org.jeecg.modules.statistics.controller; import groovyjarjarpicocli.CommandLine; import io.swagger.annotations.Api; import io.swagger.annotations.ApiOperation; import lombok.extern.slf4j.Slf4j; import org.apache.xmlbeans.impl.inst2xsd.SalamiSliceStrategy; import org.jeecg.common.api.vo.Result; import org.jeecg.modules.statistics.entity.SalesDTO; import org.jeecg.modules.statistics.mapper.SalesMapper; import org.jeecg.modules.statistics.service.IKgOrderService; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RestController; import java.time.LocalDate; import java.time.format.DateTimeFormatter; import java.util.*; import java.util.stream.Collectors; @RestController @RequestMapping("/sales") @Api(tags = "统计图表示例") @Slf4j public class SalesController { @Autowired private SalesMapper salesMapper; @ApiOperation(value = "统计图表示例-A", notes = "统计图表示例-A") @GetMapping(value = "/summary") public Result<Map<String, Object>> getSalesSummary() { //也可以包装一个实体类返回 Result<Map<String, Object>> result = new Result<>(); Map<String, Object> resultMap = new HashMap<>(); // 获取所有产品名称列表 List<String> distinctProductNames = salesMapper.getAllProductName(); // 设置起始日期为 "2023-11-01" 也可以获取系统时间 LocalDate startDate = LocalDate.parse("2023-11-01"); // 生成近五天的日期列表 List<String> distinctSaleDates = new ArrayList<>(); for (int i = 0; i < 5; i++) { LocalDate date = startDate.plusDays(i); distinctSaleDates.add(date.format(DateTimeFormatter.ISO_DATE)); } List<Map<String, Object>> seriesData = new ArrayList<>(); // 遍历每个产品名称 for (String distinctProductName : distinctProductNames) { // 根据产品名称获取产品销售数据 List<SalesDTO> productSalesSummary = salesMapper.getProductSalesSummary(distinctProductName); Map<String, Object> seriesItem = new HashMap<>(); seriesItem.put("name", distinctProductName); List<Integer> quantityList = new ArrayList<>(); // 遍历日期列表 for (String distinctSaleDate : distinctSaleDates) { // 使用 Optional 包装以处理空值情况 Optional<SalesDTO> matchingSale = productSalesSummary.stream() .filter(dto -> dto.getSaleDate().equals(distinctSaleDate)) .findFirst(); if (matchingSale.isPresent()) { // 如果存在匹配的销售数据，添加到数量列表中 quantityList.add(matchingSale.get().getTotalQuantity()); } else { // 如果没有匹配的销售数据 设置为0 quantityList.add(0); } } seriesItem.put("data", quantityList); seriesData.add(seriesItem); } resultMap.put("dates", distinctSaleDates); resultMap.put("series", seriesData); result.setResult(resultMap); return result; } }
响应结果
步骤8:通过cdn引入echarts --解决打包过大问题
找到index.html
在index.html 加入以下代码
<script src="https://cdn.jsdelivr.net/npm/echarts@5.3.0/dist/echarts.min.js"></script>
步骤9:vue.js 加载数据与Echarts 图表
<template> <!-- 柱状图容器 --> <div class="bar-chart-container"> <div ref="barChart" class="echarts-chart"></div> </div> </template> <script> // 导入 API 请求方法 import { getAction } from '@/api/manage'; export default { data() { return { // API 请求的 URL 集合 url: { getSalesSummary: '/jeecg-customers/sales/summary', }, // 数据对象 data: {}, // ECharts 实例 chart: null, // ECharts 图表配置 chartOptions: { // 图表标题 title: { text: '销售数据统计', }, // X 轴配置 xAxis: { type: "category", // X 轴类型为类别 data: [], // X 轴的数据，即日期 }, // Y 轴配置 yAxis: { type: "value", // Y 轴类型为值 name: '销售数量', // Y 轴的名称 }, // 系列数据，即图表的线条/柱状等配置 series: [], // 提示框配置 tooltip: { trigger: 'axis', // 提示框触发方式为坐标轴触发 axisPointer: { type: 'cross', // 十字准星指示器 }, }, // 图例配置(鼠标覆盖上去有详情信息的) legend: { icon: 'rect', // 图例项的图标形状 orient: 'horizontal', // 图例的布局方向 itemWidth: 20, // 图例项的宽度 itemHeight: 10, // 图例项的高度 textStyle: { fontSize: 12, // 图例项的字体大小 }, right: '30%', // 图例相对于容器右侧的距离 }, // 工具箱配置 就是右上角可以下载原图 展示数据视图那个工具 toolbox: { show: true, // 是否显示工具箱 feature: { dataZoom: {}, // 数据区域缩放工具 dataView: { readOnly: false // 是否只读 }, magicType: { type: ['line', 'bar'] // 切换图表类型工具 }, restore: {}, // 还原工具 saveAsImage: {} // 保存为图片工具 }, right: '10%', // 工具箱相对于容器右侧的距离 }, }, }; }, mounted() { // 页面加载后调用获取销售数据的方法 this.getSalesSummaryLoad(); }, methods: { // 获取销售数据的方法 getSalesSummaryLoad() { // 调用 API 请求获取销售数据 getAction(this.url.getSalesSummary, {}).then((res) => { if (res.success) { console.log(res) const data = res.result; // 更新图表的 X 轴和 Series 数据 this.chartOptions.xAxis.data = data.dates; this.chartOptions.series = data.series.map(item => { return { ...item, type: "line" }; }); // 初始化图表 this.initChart(); } }); }, // 初始化 ECharts 图表的方法 initChart() { // 创建 ECharts 实例 this.chart = echarts.init(this.$refs.barChart); // 设置图表宽度和高度 const chartWidth = 1200; const chartHeight = 500; // 调整图表大小 this.chart.resize({ width: chartWidth, height: chartHeight }); // 设置图表配置 this.chart.setOption(this.chartOptions); }, }, }; </script> <style scoped> .bar-chart-container {} </style>
步骤10:echarts各项配置
| 配置项 | 描述 |
| title | 配置图表的主标题。可以包括副标题和文本样式。 |
| legend | 配置图例，显示图例数据的区域。可以自定义位置、方向和文本样式。 |
| tooltip | 配置提示框，当悬停在数据点上时显示额外信息。可以自定义格式和内容。 |
| grid | 配置网格组件，定义图表网格的大小和位置。可以设置左、右、上、下，并包含标签样式。 |
| xAxis | 配置 x 轴，包括类型、数据、轴标签和轴刻度设置。 |
| yAxis | 配置 y 轴，与 xAxis 类似，包括类型、数据、轴标签和轴刻度设置。 |
| series | 配置要在图表上绘制的数据系列，如线条、柱状图、散点图等。每种系列类型都有自己的一组选项。 |
| toolbox | 配置工具箱，提供与图表交互的工具，如数据缩放、保存为图像等。 |
| dataZoom | 配置数据缩放组件，允许用户缩放到特定范围的数据。可以应用于 x 轴和 y 轴。 |
| visualMap | 配置视觉映射组件，将数据值映射到颜色等视觉属性。适用于显示数据强度或分布。 |
| color | 指定图表的颜色调色板。可以是颜色数组或预定义的颜色主题。 |
| textStyle | 配置图表中各种文本元素的默认文本样式，如标题、标签和提示框。 |
二、echarts 中国地图，china.json文件
1.效果图
2.引入china.json文件
找个地方写个china.json文件。内容复制这个代码。
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22.4121]]] } }, { "type": "Feature", "properties": { "id": "82", "size": "27", "name": "澳门", "cp": [113.5547, 21.6484], "childNum": 1 }, "geometry": { "type": "Polygon", "coordinates": [[[113.5986, 22.1649], [113.6096, 22.1265], [113.5547, 22.11], [113.5437, 22.2034], [113.5767, 22.2034], [113.5986, 22.1649]]] } } ] }
3:地图的代码
<template> <div class="chartBox"> <div id="mapChart" style="width: 800px;height: 700px;"></div> </div> </template> <script> import china from "../../utils/china.json"; export default { data() { return {}; }, mounted() { this.getMapChart(); }, methods: { getMapChart() { echarts.registerMap('china', china) var dataValue = this.dealWithData(); var data1 = dataValue.splice(0, 6); var myChart = echarts.init(document.getElementById("mapChart")); var option = { tooltip: { show: false, }, backgroundColor: "#fff", geo: { map: "china", roam: false, // 一定要关闭拖拽 zoom: 1.23, center: [105, 36], // 调整地图位置 label: { normal: { show: false, //关闭省份名展示 fontSize: "10", color: "rgba(0,0,0,0.7)", }, emphasis: { show: false, }, }, itemStyle: { normal: { areaColor: "#0d0059", borderColor: "#389dff", borderWidth: 1, //设置外层边框 shadowBlur: 5, shadowOffsetY: 8, shadowOffsetX: 0, shadowColor: "#01012a", }, emphasis: { areaColor: "#184cff", shadowOffsetX: 0, shadowOffsetY: 0, shadowBlur: 5, borderWidth: 0, shadowColor: "rgba(0, 0, 0, 0.5)", }, }, }, legend: { orient: "horizontal", height: "50%", top: "0%", right: "10%", }, series: [ { type: "map", map: "china", roam: false, zoom: 1.23, center: [105, 36], // geoIndex: 1, // aspectScale: 0.75, //长宽比 showLegendSymbol: false, // 存在legend时显示 label: { // 显示地图省名称 normal: { color: "#389dff", formatter: "{b}", position: [-12, -1], show: true, }, emphasis: { show: false, }, }, itemStyle: { normal: { areaColor: "#0d0059", borderColor: "#389dff", borderWidth: 0.5, }, emphasis: { areaColor: "#17008d", shadowOffsetX: 0, shadowOffsetY: 0, shadowBlur: 5, borderWidth: 0, shadowColor: "rgba(0, 0, 0, 0.5)", }, }, }, { name: "", type: "scatter", coordinateSystem: "geo", data: dataValue, symbol: "circle", symbolSize: 5, hoverSymbolSize: 10, tooltip: { formatter(value) { return ( value.data.name + "<br/>" + "物流量：" + value.data.value[2] ); }, show: true, }, encode: { value: 2, }, label: { formatter: "{b}", position: "right", show: false, }, itemStyle: { color: "#0efacc", }, emphasis: { label: { show: false, }, }, }, { name: "前五城市标记点动画", type: "effectScatter", coordinateSystem: "geo", data: data1, symbolSize: 8, tooltip: { formatter(value) { return ( value.data.name + "<br/>" + "访问量：" + value.data.value[2] ); }, show: true, }, encode: { value: 2, }, showEffectOn: "render", rippleEffect: { brushType: "stroke", color: "#0efacc", period: 9, scale: 5, }, hoverAnimation: true, label: { formatter: "{b}", position: "right", show: true, }, itemStyle: { color: "#0efacc", shadowBlur: 2, shadowColor: "#333", }, zlevel: 1, }, ], }; myChart.setOption(option); window.onresize = () => { myChart.resize(); }; }, dealWithData() { var geoCoordMap = [ { name: "广州", value: [113.23, 23.16, 20], }, { name: "深圳", value: [114.07, 22.62, 60], }, { name: "呼和浩特", value: [111.65, 40.82, 20], }, { name: "宁波", value: [121.56, 29.86, 10], }, { name: "珠海", value: [113.52, 22.3, 10], }, { name: "重庆", value: [106.54, 29.59, 11], }, { name: "杭州", value: [120.19, 30.26, 12], }, { name: "九江", value: [115.97, 29.71, 13], }, { name: "哈尔滨", value: [126.63, 45.75, 14], }, { name: "合肥", value: [117.27, 31.86, 15], }, { name: "义乌", value: [120.06, 29.32], }, ]; return geoCoordMap; }, }, }; </script> <style lang="less" scoped> .chartBox { width: 100%; height: 100vh; } #mapChart { width: 100%; height: 100%; } </style>
