使用Echarts（图表）
官网：https://echarts.apache.org/examples/zh/index.html
chart.py
from django.shortcuts import render from django.http import JsonResponse def chart_list(request): """ 数据统计页面 """ return render(request, 'chart_list.html') def chart_bar(request): """ 构造柱状图的数据 """ # 数据可以去数据库中获取 legend = ["梁吉宁", "武沛齐"] series_list = [ { "name": '梁吉宁', "type": 'bar', "data": [15, 20, 36, 10, 10, 10] }, { "name": '武沛齐', "type": 'bar', "data": [45, 10, 66, 40, 20, 50] } ] x_axis = ['1月', '2月', '4月', '5月', '6月', '7月'] result = { "status": True, "data": { 'legend': legend, 'series_list': series_list, 'x_axis': x_axis, } } return JsonResponse(result) def chart_pie(request): """ 构造饼图的数据 """ db_data_list = [ {"value": 2048, "name": 'IT部门'}, {"value": 1735, "name": '运营'}, {"value": 580, "name": '新媒体'}, ] result = { "status": True, "data": db_data_list } return JsonResponse(result) def chart_line(request): """ 构造折线图的数据 """ legend = ["上海", "广西"] series_list = [ { "name": '上海', "type": 'line', "stack": 'Total', "data": [15, 20, 36, 10, 10, 10] }, { "name": '广西', "type": 'line', "stack": 'Total', "data": [45, 10, 66, 40, 20, 50] } ] x_axis = ['1月', '2月', '4月', '5月', '6月', '7月'] result = { "status": True, "data": { 'legend': legend, 'series_list': series_list, 'x_axis': x_axis, } } return JsonResponse(result) def highcharts(request): """ highcharts示例 """ return render(request, 'highcharts.html')
chart_list.html
{% extends 'layout.html' %}
{% load static %}
{% block content %}
<div class="container">
<div class="panel panel-default">
<div class="panel-heading">折线图</div>
<div class="panel-body">
<div id="m1" style="width: 100%;height: 300px"></div>
</div>
</div>
<div class="row">
<div class="col-sm-8">
<div class="panel panel-default">
<div class="panel-heading">柱状图</div>
<div class="panel-body">
<div id="m2" style="width: 100%;height: 400px;"></div>
</div>
</div>
</div>
<div class="col-sm-4">
<div class="panel panel-default">
<div class="panel-heading">饼图</div>
<div class="panel-body">
<div id="m3" style="width: 100%;height: 400px;"></div>
</div>
</div>
</div>
</div>
</div>
{% endblock %}
{% block js %}
<script src="{% static 'js/echarts.js' %}"></script>
<script type="text/javascript">
$(function () {
initLine();
initBar();
initPie();
})
/**
* 初始化折线图
*/
function initLine() {
var myChart = echarts.init(document.getElementById('m1'));
var option = {
title: {
text: '分公司业绩图',
left: "center",
},
tooltip: {
trigger: 'axis'
},
legend: {
data: [],
bottom: 0
},
toolbox: {
feature: {
saveAsImage: {}
}
},
xAxis: {
type: 'category',
boundaryGap: false,
data: []
},
yAxis: {
type: 'value'
},
series: []
};
$.ajax({
url: '/chart/line',
type: "get",
dataType: "JSON",
success: function (res) {
if (res.status) {
option.legend.data = res.data.legend;
option.xAxis.data = res.data.x_axis;
option.series = res.data.series_list;
myChart.setOption(option);
}
}
})
}
/**
* 初始化柱状图
*/
function initBar() {
// 基于准备好的dom，初始化echarts实例
var myChart = echarts.init(document.getElementById('m2'));
// 指定图表的配置项和数据
var option = {
title: {
text: '员工业绩阅读汇总信息',
textAlign: "auto",
left: "center",
},
tooltip: {},
legend: {
data: [], // 后台获取
bottom: 0
},
xAxis: {
data: [] // 后台获取
},
yAxis: {},
series: [] // 后台获取
};
$.ajax({
url: "/chart/bar",
type: "get",
dataType: "JSON",
success: function (res) {
// 将后台返回的数据，更新到option中。
if (res.status) {
option.legend.data = res.data.legend;
option.xAxis.data = res.data.x_axis;
option.series = res.data.series_list;
// 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
}
}
})
}
/**
* 初始化饼状图
*/
function initPie() {
// 基于准备好的dom，初始化echarts实例
var myChart = echarts.init(document.getElementById('m3'));
var option = {
title: {
text: '部门预算占比',
subtext: '广西分公司',
left: 'center'
},
tooltip: {
trigger: 'item'
},
legend: {
bottom: 0
},
series: [
{
name: '预算',
type: 'pie',
radius: '50%',
data: [
{value: 1048, name: 'IT部门'},
{value: 735, name: '运营'},
{value: 580, name: '新媒体'},
],
emphasis: {
itemStyle: {
shadowBlur: 10,
shadowOffsetX: 0,
shadowColor: 'rgba(0, 0, 0, 0.5)'
}
}
}
]
};
$.ajax({
url: "/chart/pie",
type: "get",
dataType: "JSON",
success: function (res) {
if (res.status) {
option.series[0].data = res.data;
myChart.setOption(option);
}
}
})
}
</script>
{% endblock %}
{% extends 'layout.html' %}
{% block content %}
<div class="container">
<div id="m1" style="width: 100%;height:400px;"></div>
</div>
{% endblock %}
{% block js %}
{# 不需要导入包#}
<script src="http://cdn.highcharts.com.cn/highcharts/highcharts.js"></script>
<script>
// 图表配置
var options = {
chart: {
type: 'column'
},
title: {
text: '月平均降雨量'
},
subtitle: {
text: '数据来源: WorldClimate.com'
},
xAxis: {
categories: [
'一月', '二月', '三月', '四月', '五月', '六月', '七月', '八月', '九月', '十月', '十一月', '十二月'
],
crosshair: true
},
yAxis: {
min: 0,
title: {
text: '降雨量 (mm)'
}
},
tooltip: {
// head + 每个 point + footer 拼接成完整的 table
headerFormat: '<span style="font-size:10px">{point.key}</span><table>',
pointFormat: '<tr><td style="color:{series.color};padding:0">{series.name}: </td>' +
'<td style="padding:0"><b>{point.y:.1f} mm</b></td></tr>',
footerFormat: '</table>',
shared: true,
useHTML: true
},
plotOptions: {
column: {
borderWidth: 0
}
},
series: [{
name: '东京',
data: [49.9, 71.5, 106.4, 129.2, 144.0, 176.0, 135.6, 148.5, 216.4, 194.1, 95.6, 54.4]
}, {
name: '纽约',
data: [83.6, 78.8, 98.5, 93.4, 106.0, 84.5, 105.0, 104.3, 91.2, 83.5, 106.6, 92.3]
}, {
name: '伦敦',
data: [48.9, 38.8, 39.3, 41.4, 47.0, 48.3, 59.0, 59.6, 52.4, 65.2, 59.3, 51.2]
}, {
name: '柏林',
data: [42.4, 33.2, 34.5, 39.7, 52.6, 75.5, 57.4, 60.4, 47.6, 39.1, 46.8, 51.1]
}]
};
// 图表初始化函数
var chart = Highcharts.chart('m1', options);
</script>
{% endblock %}
效果图：
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