python封装JSON前后端解析

1. 在view.py文件中，将json对象需要做处理

import json 
def echart(request):
    json_list = []
    for i in ret:
        json_dict = {}
        json_dict["id"] = i.id
        json_dict["totalIncome"] = i.totalIncome
        json_dict["dayIncome"] = i.dayIncome
        json_dict["remarkIncome"] = i.remarkIncome
        json_dict["totalBath"] = i.totalBath
        json_dict["totalBathHouse"] = i.totalBathHouse
        json_dict["totalHouse"] = i.totalHouse
        json_dict["totalPay"] = i.totalPay

        json_list.append(json_dict)

 return render(request,'echart.html',{"ret": json.dumps(ret1)})

2. 前端接口来着django后端传过来的json，需要再做处理

"text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('echart'));
        var ret={{ ret|safe }};
    var obj =JSON.parse(ret)
        
    var jsdayIncome = []
        var jstotallIncome = []

        console.log(obj);
        for(i in obj){
            jsdayIncome.push(obj[i]['dayIncome'])
        }
        for(i in obj){
            jstotallIncome.push(obj[i]['totalIncome'])
        }
        console.log(jsdayIncome)
        console.log(jstotallIncome)

        // 指定图表的配置项和数据
        var option = {
            title: {
                text: '每日收入可视化'
            },
            tooltip: {},
            legend: {
                data:['收入']
            },
            xAxis: {
                data: jsdayIncome
            },
            yAxis: {},
            series: [{
                name: '收入',
                type: 'bar',
                data: jstotallIncome
            }]
        };

        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);