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韩国 网站设计/宣传链接怎么做
admin2025/4/29 6:45:40【news】
简介韩国 网站设计,宣传链接怎么做,应用商店和应用市场,自己做的网站竞价优化目录 一、echarts 1、下载 2、配置 二、实现统计分析页面--架构和柱图 1、url 2、chart.py 3、chart_list.html 4、修改url 5、新增chart_bar方法 6、修改chart_list.html 四、饼图 1、url 2、视图chart.py新增 3、修改chart_list.html 五、折线图 1、url 2、char…
韩国 网站设计,宣传链接怎么做,应用商店和应用市场,自己做的网站竞价优化目录 一、echarts
1、下载
2、配置 二、实现统计分析页面--架构和柱图
1、url
2、chart.py
3、chart_list.html
4、修改url
5、新增chart_bar方法
6、修改chart_list.html
四、饼图
1、url 2、视图chart.py新增
3、修改chart_list.html 五、折线图
1、url
2、char…
目录
一、echarts
1、下载
2、配置
二、实现统计分析页面--架构和柱图
1、url
2、chart.py
3、chart_list.html
4、修改url
5、新增chart_bar方法
6、修改chart_list.html
四、饼图
1、url
2、视图chart.py新增
3、修改chart_list.html
五、折线图
1、url
2、chart.py新增
3、chart_list.html
接上一篇《django项目实战九(django+bootstrap实现增删改查)进阶ajax实现》
知识点:
1、饼图、柱图、折线图
一、echarts
1、下载
链接:https://pan.baidu.com/s/1CDHwRrofeH5rKfzgCLR0qg
提取码:关注联系博主
2、配置
二、实现统计分析页面--架构和柱图
1、url
2、chart.py
from django.shortcuts import renderdef chart_list(request):"""统计分析"""return render(request, 'chart_list.html')
3、chart_list.html
这里以柱图为例子,定义一个div 、 (设置高度、宽度,ID重要【下面js要使用】)
<div id="m2" style="width: 600px;height: 400px;"></div>
这个是导入js和柱图(官方网站复制)
{% extends 'layout.html' %}
{% load static %}
{% block title %}<title>统计分析</title>
{% endblock %}
{% block content %}<div class="container"><div class="panel panel-default"><div class="panel-heading">折线图</div><div class="panel-body">zhe</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: 600px;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">Panel content</div></div></div></div></div>{% endblock %}{% block js %}<script src="{% static 'js/echarts.min.js' %}"></script><script type="text/javascript">// 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: 'ECharts 入门示例'},tooltip: {},legend: {data: ['销量', '价格']},xAxis: {data: ['1月', '2月', '3月', '4月', '5月', '6月']},yAxis: {},series: [{name: '销量',type: 'bar',data: [5, 20, 36, 10, 10, 20]},{name: '价格',type: 'bar',data: [25, 40, 80, 65, 70, 50]}]};// 使用刚指定的配置项和数据显示图表。myChart.setOption(option);</script>
{% endblock %}
4、修改url
5、新增chart_bar方法
from django.shortcuts import render
from django.http import JsonResponsedef chart_list(request):"""统计分析 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 = ['销量', '价格']xAxis = ['1月', '2月', '3月', '4月', '5月', '6月']series_list = [{"name": '销量',"type": 'bar',"data": [5, 20, 36, 10, 10, 20]},{"name": '价格',"type": 'bar',"data": [25, 40, 80, 65, 70, 50]}]result = {"status": True,"data": {"legend": legend,"xAxis": xAxis,"series_list": series_list,}}return JsonResponse(result)
6、修改chart_list.html
{% extends 'layout.html' %}
{% load static %}
{% block title %}<title>统计分析</title>
{% endblock %}
{% block content %}<div class="container"><div class="panel panel-default"><div class="panel-heading">折线图</div><div class="panel-body">zhe</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">Panel content</div></div></div></div></div>{% endblock %}{% block js %}<script src="{% static 'js/echarts.min.js' %}"></script>
<script type="text/javascript">$(function () {initBar();})function initBar() {// 基于准备好的dom,初始化echarts实例var myChart = echarts.init(document.getElementById('m2'));// 指定图表的配置项和数据var option = {title: {text: '任务',// subtext: "xxx公司", //副标题textAlign: "auto",left: "center",},tooltip: {},legend: {data: [], // 后台获取bottom: 0,},xAxis: {data: [] // 后台获取},yAxis: {},series: [] // 后台获取};$.ajax({url: "/chart/bar/",type: "get",dataType: "JSON",success: function(res){if(res.status){// 将获取到的数据更新到 option 中option.legend.data = res.data.legend;option.xAxis.data = res.data.xAxis;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);}}})}
</script>{% endblock %}
四、饼图
1、url
2、视图chart.py新增
from django.shortcuts import render
from django.http import JsonResponsedef chart_list(request):"""统计分析 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 = ['销量', '价格']xAxis = ['1月', '2月', '3月', '4月', '5月', '6月']series_list = [{"name": '销量',"type": 'bar',"data": [5, 20, 36, 10, 10, 20]},{"name": '价格',"type": 'bar',"data": [25, 40, 80, 65, 70, 50]}]result = {"status": True,"data": {"legend": legend,"xAxis": xAxis,"series_list": series_list,}}return JsonResponse(result)def chart_pie(request):""" 构造饼图的数据 """data_list = [{"value": 248, "name": 'P0'},{"value": 735, "name": 'P1'},{"value": 580, "name": 'P2'},{"value": 180, "name": 'P3'},]result = {"status": True,"data_list": data_list,}return JsonResponse(result)
3、修改chart_list.html
{% extends 'layout.html' %}
{% load static %}
{% block title %}<title>统计分析</title>
{% endblock %}
{% block content %}<div class="container"><div class="panel panel-default"><div class="panel-heading">折线图</div><div class="panel-body">zhe</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.min.js' %}"></script>
<script type="text/javascript">$(function () {initBar();iniPie();})function initBar() {// 基于准备好的dom,初始化echarts实例var myChart = echarts.init(document.getElementById('m2'));// 指定图表的配置项和数据var option = {title: {text: '任务',// subtext: "xxx公司", //副标题textAlign: "auto",left: "center",},tooltip: {},legend: {data: [], // 后台获取bottom: 0,},xAxis: {data: [] // 后台获取},yAxis: {},series: [] // 后台获取};$.ajax({url: "/chart/bar/",type: "get",dataType: "JSON",success: function(res){if(res.status){// 将获取到的数据更新到 option 中option.legend.data = res.data.legend;option.xAxis.data = res.data.xAxis;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);}}})}// 饼图function iniPie() {var chartDom = document.getElementById('m3');var myChart = echarts.init(chartDom);var option;option = {title: {text: '用例优先级',subtext: 'xxx公司',left: 'center'},tooltip: {trigger: 'item'},legend: {orient: 'vertical',bottom: 0,},series: [{name: 'Access From',type: 'pie',radius: '50%',data: [],emphasis: {itemStyle: {shadowBlur: 10,shadowOffsetX: 0,shadowColor: 'rgba(0, 0, 0, 0.5)'}}}]};$.ajax({url: "/chart/pie/",type: "get",dataType: "JSON",success: function(res) {if(res.status){option.series[0].data = res.data_list;option && myChart.setOption(option);}}})
}</script>{% endblock %}
五、折线图
1、url
2、chart.py新增
def chart_line(request):""" 构造折线图的数据 """legend_list = ['2021', '2022']xAxis_list = ['1月', '2月', '3月', '4月', '5月', '6月', '7月']series_list = [{"name": '2021',"type": 'line',"stack": 'Total',"data": [120, 132, 101, 134, 90, 230, 210]},{"name": '2022',"type": 'line',"stack": 'Total',"data": [220, 182, 191, 234, 290, 330, 310]},]result = {"status": True,"data": {"legend_list": legend_list,"xAxis_list": xAxis_list,"series_list": series_list,}}return JsonResponse(result)
3、chart_list.html
{% extends 'layout.html' %}
{% load static %}
{% block title %}<title>统计分析</title>
{% endblock %}
{% block content %}<div class="container"><div class="panel panel-default"><div class="panel-heading">折线图</div><div class="panel-body"><div id="m1" style="width: 100%;height: 250px;"></div></div></div><div class="row"><div class="col-sm-8"><div class="panel panel-default"><div class="panel-heading">柱状图</div><div class="panel-body"><div id="m2" style="width: 100%;height: 400px;"></div></div></div></div><div class="col-sm-4"><div class="panel panel-default"><div class="panel-heading">饼图</div><div class="panel-body"><div id="m3" style="width: 100%;height: 400px;"></div></div></div></div></div></div>{% endblock %}{% block js %}<script src="{% static 'js/echarts.min.js' %}"></script>
<script type="text/javascript">$(function () {initBar();iniPie();initLine();})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: '任务',// subtext: "xxx公司", //副标题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};$.ajax({url: "/chart/bar/",type: "get",dataType: "JSON",success: function(res){if(res.status){// 将获取到的数据更新到 option 中option.legend.data = res.data.legend;option.xAxis.data = res.data.xAxis;option.series = res.data.series_list;// 使用刚指定的配置项和数据显示图表。myChart.setOption(option);}}})}// 饼图function iniPie() {var chartDom = document.getElementById('m3');var myChart = echarts.init(chartDom);var option;option = {title: {text: '用例优先级',subtext: 'xxx公司',left: 'center'},tooltip: {trigger: 'item'},legend: {orient: 'vertical',bottom: 0,},series: [{name: 'Access From',type: 'pie',radius: '50%',data: [],emphasis: {itemStyle: {shadowBlur: 10,shadowOffsetX: 0,shadowColor: 'rgba(0, 0, 0, 0.5)'}}}]};$.ajax({url: "/chart/pie/",type: "get",dataType: "JSON",success: function(res) {if(res.status){option.series[0].data = res.data_list;option && myChart.setOption(option);}}})
}// 折线图function initLine() {var chartDom = document.getElementById('m1');var myChart = echarts.init(chartDom);var option;option = {title: {text: '分公司业绩图',left: "center",},tooltip: {trigger: 'axis'},legend: {data: [],bottom: 0,},grid: {left: '3%',right: '4%',bottom: '12%',containLabel: true},toolbox: {feature: {// saveAsImage: {}saveAsImage: false,}},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_list;option.xAxis.data = res.data.xAxis_list;option.series = res.data.series_list;option && myChart.setOption(option);}}})
}</script>{% endblock %}