django_vue3(vite+vue3)展示贵州省的疫情
前言
大家好,我是yma16,本文分享django_vue3(vite+vue3)展示贵州省的疫情
初始化vue3-vite项目
以下是初始化 Vue3-Vite 项目的步骤:
-
确保已安装 Node.js 和 npm。
-
打开终端,进入要创建项目的目录,运行以下命令:
npm init vite-app <project-name>其中,
<project-name>是你的项目名称。 -
在命令行中,选择要使用的模板。这里选择
vue-ts,即使用 TypeScript 的 Vue 模板。 -
选择完成之后,继续输入命令:
cd <project-name> npm install这将进入项目目录并安装依赖项。
-
最后,运行以下命令启动 Vue3-Vite 项目:
npm run dev这将启动开发服务器,可以在浏览器中访问
http://localhost:3000/来查看应用。
背景
2022/09贵州疫情规模比较大,可以用django和vue实现一个可视化的看板
展示
地址:
https://yongma16.xyz/fund-web/#/
地图展示地区疫情的确诊病例,卡片展示标签数据,折线图展示趋势,列表展示具体区域明细
思路
后端:python爬虫获取疫情数据,返回json给前端
前端:使用echarts展示数据
后端
框架:django requests
抓取数据来源:
腾讯数据
https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5
关键实现
def outBreakData(request):
data={
'data':[],
'code':0,
'msg':'request method not allowed!'
}
if request.method == 'GET':
data={}
msg='success'
try:
data=getOutBreak()
except Exception as e:
msg=str(e)
return JsonResponse({
'data':data,
'msg':msg,
'code':1
})
return JsonResponse(data)
def getOutBreak():
try:
url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5'
headers = {
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.83 Safari/537.36",
}
res = requests.get(url, headers=headers)
jsonData = res.json()
data=jsonData['data']
jsonRes=jsonDetail(data,'day')
if jsonRes is False:
jsonRes = jsonDetail(data, 'night')
return jsonRes
except Exception as e:
return str(e)
def jsonDetail(jsonStr,key):
addTion = '"}]}]}]}'
if key is 'night':
addTion = 'test":0}}]}]}]}'
try:
mapStr = jsonStr + addTion
jsonRes = json.loads(mapStr)
except Exception as e:
print(e)
jsonRes=False
return jsonRes
接口:
https://yongma16.xyz/common-api/mapApp/outBreak/
前端主要代码块:
<template>
<div class="visual-container">
<div class="visual-container-flex">
<div>
<div>
实时数据:{{realTimeData}}
</div>
<div>
day
</div>
<div ref="CHART_REF" class="chart-class" id="day-chart-id" style="width: 300px;">
</div>
</div>
<div>
<div>
month
</div>
<div ref="CHART_REF" class="chart-class" id="month-chart-id" style="width: 900px;">
</div>
</div>
</div>
<div class="visual-container-flex">
<div>
year
</div>
<div ref="CHART_REF" class="chart-class" id="year-chart-id" style="width: 1200px;">
</div>
</div>
</div>
</template>
<script lang="ts" setup>
import {ref,onMounted,defineProps,watch } from 'vue'
import {useRealTimeData} from '../../../utils/hooks/hooks'
import * as echarts from 'echarts';
type EChartsOption = echarts.EChartsOption
const props=defineProps({
fundCode:String
});
const {realTimeData,getRealTimeFundData}=useRealTimeData()
watch(
()=>props.fundCode,
()=>{
if(props.fundCode){
console.log('子组件接受props',props.fundCode)
getRealTimeFundData(props.fundCode)
}
},
{
deep:true,
immediate:true
}
);
const CHART_REF=ref(null)
onMounted(()=>{
renderChartDay()
renderChartMonth()
renderChartYear()
console.log('props',props.fundCode)
})
/**
* 渲染
*
*/
const renderCandlestick=(data:object[],domId:string)=>{
var chartDom = document.getElementById(domId)!;
var myChart = echarts.init(chartDom);
var option: EChartsOption;
const upColor = '#ec0000';
const upBorderColor = '#8A0000';
const downColor = '#00da3c';
const downBorderColor = '#008F28';
// Each item: open,close,lowest,highest
const data0 = splitData([
['2013/1/24', 2320.26, 2320.26, 2287.3, 2362.94],
['2013/1/25', 2300, 2291.3, 2288.26, 2308.38],
['2013/1/28', 2295.35, 2346.5, 2295.35, 2346.92],
['2013/1/29', 2347.22, 2358.98, 2337.35, 2363.8],
['2013/1/30', 2360.75, 2382.48, 2347.89, 2383.76],
['2013/1/31', 2383.43, 2385.42, 2371.23, 2391.82],
['2013/2/1', 2377.41, 2419.02, 2369.57, 2421.15],
['2013/2/4', 2425.92, 2428.15, 2417.58, 2440.38],
['2013/2/5', 2411, 2433.13, 2403.3, 2437.42],
['2013/2/6', 2432.68, 2434.48, 2427.7, 2441.73],
['2013/2/7', 2430.69, 2418.53, 2394.22, 2433.89],
['2013/2/8', 2416.62, 2432.4, 2414.4, 2443.03],
['2013/2/18', 2441.91, 2421.56, 2415.43, 2444.8],
['2013/2/19', 2420.26, 2382.91, 2373.53, 2427.07],
['2013/2/20', 2383.49, 2397.18, 2370.61, 2397.94],
['2013/2/21', 2378.82, 2325.95, 2309.17, 2378.82],
['2013/2/22', 2322.94, 2314.16, 2308.76, 2330.88],
['2013/2/25', 2320.62, 2325.82, 2315.01, 2338.78],
['2013/2/26', 2313.74, 2293.34, 2289.89, 2340.71],
['2013/2/27', 2297.77, 2313.22, 2292.03, 2324.63],
['2013/2/28', 2322.32, 2365.59, 2308.92, 2366.16],
['2013/3/1', 2364.54, 2359.51, 2330.86, 2369.65],
['2013/3/4', 2332.08, 2273.4, 2259.25, 2333.54],
['2013/3/5', 2274.81, 2326.31, 2270.1, 2328.14],
['2013/3/6', 2333.61, 2347.18, 2321.6, 2351.44],
['2013/3/7', 2340.44, 2324.29, 2304.27, 2352.02],
['2013/3/8', 2326.42, 2318.61, 2314.59, 2333.67],
['2013/3/11', 2314.68, 2310.59, 2296.58, 2320.96],
['2013/3/12', 2309.16, 2286.6, 2264.83, 2333.29],
['2013/3/13', 2282.17, 2263.97, 2253.25, 2286.33],
['2013/3/14', 2255.77, 2270.28, 2253.31, 2276.22],
['2013/3/15', 2269.31, 2278.4, 2250, 2312.08],
['2013/3/18', 2267.29, 2240.02, 2239.21, 2276.05],
['2013/3/19', 2244.26, 2257.43, 2232.02, 2261.31],
['2013/3/20', 2257.74, 2317.37, 2257.42, 2317.86],
['2013/3/21', 2318.21, 2324.24, 2311.6, 2330.81],
['2013/3/22', 2321.4, 2328.28, 2314.97, 2332],
['2013/3/25', 2334.74, 2326.72, 2319.91, 2344.89],
['2013/3/26', 2318.58, 2297.67, 2281.12, 2319.99],
['2013/3/27', 2299.38, 2301.26, 2289, 2323.48],
['2013/3/28', 2273.55, 2236.3, 2232.91, 2273.55],
['2013/3/29', 2238.49, 2236.62, 2228.81, 2246.87],
['2013/4/1', 2229.46, 2234.4, 2227.31, 2243.95],
['2013/4/2', 2234.9, 2227.74, 2220.44, 2253.42],
['2013/4/3', 2232.69, 2225.29, 2217.25, 2241.34],
['2013/4/8', 2196.24, 2211.59, 2180.67, 2212.59],
['2013/4/9', 2215.47, 2225.77, 2215.47, 2234.73],
['2013/4/10', 2224.93, 2226.13, 2212.56, 2233.04],
['2013/4/11', 2236.98, 2219.55, 2217.26, 2242.48],
['2013/4/12', 2218.09, 2206.78, 2204.44, 2226.26],
['2013/4/15', 2199.91, 2181.94, 2177.39, 2204.99],
['2013/4/16', 2169.63, 2194.85, 2165.78, 2196.43],
['2013/4/17', 2195.03, 2193.8, 2178.47, 2197.51],
['2013/4/18', 2181.82, 2197.6, 2175.44, 2206.03],
['2013/4/19', 2201.12, 2244.64, 2200.58, 2250.11],
['2013/4/22', 2236.4, 2242.17, 2232.26, 2245.12],
['2013/4/23', 2242.62, 2184.54, 2182.81, 2242.62],
['2013/4/24', 2187.35, 2218.32, 2184.11, 2226.12],
['2013/4/25', 2213.19, 2199.31, 2191.85, 2224.63],
['2013/4/26', 2203.89, 2177.91, 2173.86, 2210.58],
['2013/5/2', 2170.78, 2174.12, 2161.14, 2179.65],
['2013/5/3', 2179.05, 2205.5, 2179.05, 2222.81],
['2013/5/6', 2212.5, 2231.17, 2212.5, 2236.07],
['2013/5/7', 2227.86, 2235.57, 2219.44, 2240.26],
['2013/5/8', 2242.39, 2246.3, 2235.42, 2255.21],
['2013/5/9', 2246.96, 2232.97, 2221.38, 2247.86],
['2013/5/10', 2228.82, 2246.83, 2225.81, 2247.67],
['2013/5/13', 2247.68, 2241.92, 2231.36, 2250.85],
['2013/5/14', 2238.9, 2217.01, 2205.87, 2239.93],
['2013/5/15', 2217.09, 2224.8, 2213.58, 2225.19],
['2013/5/16', 2221.34, 2251.81, 2210.77, 2252.87],
['2013/5/17', 2249.81, 2282.87, 2248.41, 2288.09],
['2013/5/20', 2286.33, 2299.99, 2281.9, 2309.39],
['2013/5/21', 2297.11, 2305.11, 2290.12, 2305.3],
['2013/5/22', 2303.75, 2302.4, 2292.43, 2314.18],
['2013/5/23', 2293.81, 2275.67, 2274.1, 2304.95],
['2013/5/24', 2281.45, 2288.53, 2270.25, 2292.59],
['2013/5/27', 2286.66, 2293.08, 2283.94, 2301.7],
['2013/5/28', 2293.4, 2321.32, 2281.47, 2322.1],
['2013/5/29', 2323.54, 2324.02, 2321.17, 2334.33],
['2013/5/30', 2316.25, 2317.75, 2310.49, 2325.72],
['2013/5/31', 2320.74, 2300.59, 2299.37, 2325.53],
['2013/6/3', 2300.21, 2299.25, 2294.11, 2313.43],
['2013/6/4', 2297.1, 2272.42, 2264.76, 2297.1],
['2013/6/5', 2270.71, 2270.93, 2260.87, 2276.86],
['2013/6/6', 2264.43, 2242.11, 2240.07, 2266.69],
['2013/6/7', 2242.26, 2210.9, 2205.07, 2250.63],
['2013/6/13', 2190.1, 2148.35, 2126.22, 2190.1]
]);
function splitData(rawData: (number | string)[][]) {
const categoryData = [];
const values = [];
for (var i = 0; i < rawData.length; i++) {
categoryData.push(rawData[i].splice(0, 1)[0]);
values.push(rawData[i]);
}
return {
categoryData: categoryData,
values: values
};
}
function calculateMA(dayCount: number) {
var result = [];
for (var i = 0, len = data0.values.length; i < len; i++) {
if (i < dayCount) {
result.push('-');
continue;
}
var sum = 0;
for (var j = 0; j < dayCount; j++) {
sum += +data0.values[i - j][1];
}
result.push(sum / dayCount);
}
return result;
}
option = {
title: {
text: '指数',
left: 0
},
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'cross'
}
},
legend: {
data: ['日K', 'MA5', 'MA10', 'MA20', 'MA30']
},
grid: {
left: '10%',
right: '10%',
bottom: '15%'
},
xAxis: {
type: 'category',
data: data0.categoryData,
boundaryGap: false,
axisLine: { onZero: false },
splitLine: { show: false },
min: 'dataMin',
max: 'dataMax'
},
yAxis: {
scale: true,
splitArea: {
show: true
}
},
dataZoom: [
{
type: 'inside',
start: 50,
end: 100
},
{
show: true,
type: 'slider',
top: '90%',
start: 50,
end: 100
}
],
series: [
{
name: '日K',
type: 'candlestick',
data: data0.values,
itemStyle: {
color: upColor,
color0: downColor,
borderColor: upBorderColor,
borderColor0: downBorderColor
},
markPoint: {
label: {
formatter: function (param: any) {
return param != null ? Math.round(param.value) + '' : '';
}
},
data: [
{
name: 'Mark',
coord: ['2013/5/31', 2300],
value: 2300,
itemStyle: {
color: 'rgb(41,60,85)'
}
},
{
name: 'highest value',
type: 'max',
valueDim: 'highest'
},
{
name: 'lowest value',
type: 'min',
valueDim: 'lowest'
},
{
name: 'average value on close',
type: 'average',
valueDim: 'close'
}
],
tooltip: {
formatter: function (param: any) {
return param.name + '<br>' + (param.data.coord || '');
}
}
},
markLine: {
symbol: ['none', 'none'],
data: [
[
{
name: 'from lowest to highest',
type: 'min',
valueDim: 'lowest',
symbol: 'circle',
symbolSize: 10,
label: {
show: false
},
emphasis: {
label: {
show: false
}
}
},
{
type: 'max',
valueDim: 'highest',
symbol: 'circle',
symbolSize: 10,
label: {
show: false
},
emphasis: {
label: {
show: false
}
}
}
],
{
name: 'min line on close',
type: 'min',
valueDim: 'close'
},
{
name: 'max line on close',
type: 'max',
valueDim: 'close'
}
]
}
},
{
name: 'MA5',
type: 'line',
data: calculateMA(5),
smooth: true,
lineStyle: {
opacity: 0.5
}
},
{
name: 'MA10',
type: 'line',
data: calculateMA(10),
smooth: true,
lineStyle: {
opacity: 0.5
}
},
{
name: 'MA20',
type: 'line',
data: calculateMA(20),
smooth: true,
lineStyle: {
opacity: 0.5
}
},
{
name: 'MA30',
type: 'line',
data: calculateMA(30),
smooth: true,
lineStyle: {
opacity: 0.5
}
}
]
};
option && myChart.setOption(option);
}
/**
* 渲染
*
*/
const renderChartDay=()=>{
renderCandlestick([],'day-chart-id')
}
/**
* 渲染
*
*/
const renderChartMonth=()=>{
renderCandlestick([],'month-chart-id')
}
/**
* 渲染
*
*/
const renderChartYear=()=>{
renderCandlestick([],'year-chart-id')
}
</script>
<style scoped lang="less">
.chart-class{
width:400px;
height:300px;
}
.visual-container{
overflow: auto;
}
.visual-container-flex{
display: flex;
.chart-class{
flex:1;
}
}
</style>
前端
框架:vue3 ts
ui库:ant echarts
仓库:
https://gitcode.net/qq_38870145/2
结束
本文分享到这结束,如有错误或者不足之处欢迎指出,感谢大家的阅读!

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