django项目用higcharts统计最近七天文章点击量

框架(架构)  /  管理员 发布于 7年前   194

下载higcharts插件放在static文件夹下

前端引入

<script src="https:static/highcharts/highcharts.js"></script><script src="https:static/highcharts/modules/exporting.js"></script><script src="https:static/highcharts/modules/oldie.js"></script><script src="https:static/highcharts/highcharts-zh_CN.js"></script>

定义在页面中的位置

<div id="container" style="min-width:400px;height:400px"></div>

前端js

<script>  var chart = Highcharts.chart('container', { chart: {  type: 'line' }, title: {  text: '日点击量和点赞量统计' }, subtitle: {  text: '数据来源: terroristhouse.com' }, xAxis: {  categories: {{ list_week_day|safe }} }, yAxis: {  title: {   text: '数量 (次)'  } }, plotOptions: {  line: {   dataLabels: {    // 开启数据标签    enabled: true   },   // 关闭鼠标跟踪，对应的提示框、点击事件会失效   enableMouseTracking: false  } }, series: [{  name: '点击量',  data:{{ clicknum_list|safe }} }, {  name: '点赞量',  data: {{ praise_num_list|safe }} }]});  </script>

路由

# 点击量统计re_path('article/click/', article.click,name='article/click/'),

后台方法

from blog.utils import function# 点击量def click(request): recent_seven_days = function.recent_seven_days() list_week_day = recent_seven_days[::-1] # 进行倒序 clicknum_list = [] praise_num_list = [] # print(list_week_day) for v in list_week_day:  click_num_obj = Praise.objects.filter(click_addtime=v,click_sort=1).aggregate(clicknum=Count('click_sort'))  praise_num_obj = Praise.objects.filter(click_addtime=v,click_sort=0).aggregate(praise_num=Count('click_sort'))  # print(click_num_obj['clicknum'],praise_num_obj['praise_num'])  clicknum = int(click_num_obj['clicknum']) if (click_num_obj['clicknum'] is not None) else 0  praise_num = int(praise_num_obj['praise_num']) if (praise_num_obj['praise_num'] is not None) else 0  clicknum_list.append(clicknum)  praise_num_list.append(praise_num) # print(clicknum_list) # data=[{ #  'name': '点击量', #  'data': clicknum_list # }, { #  'name': '点赞量', #  'data': praise_num_list # }] # num= [ '20190624', '20190625', '20190626', '20190627', '20190628', '20190629', '20190630'] return render(request,'article/click.html',locals())

应用目录下创建untils文件夹，并在其下创建function.py文件，用来获取最近七天日期

# 七天日期def recent_seven_days():# 通过for 循环得到天数，如果想得到两周的时间，只需要把8改成15就可以了。 import datetime d = datetime.datetime.now()#2019-6-28 9:25:43.843164 lists = [] for i in range(1,8):#i:1-7  oneday = datetime.timedelta(days=i) #1 day, 0:00:00  2 days, 0:00:00 ... 7 days, 0:00:00  day = d - oneday#2019-06-27 11:32:10.186535 2019-06-26 11:32:10.186535 ... 2019-06-21 11:32:10.186535  date_to = datetime.datetime(day.year, day.month, day.day)#2019-06-27 00:00:00 2019-06-26 00:00:00 ... 2019-06-21 00:00:00  lists.append(str(date_to)[0:10])#2019-06-27 2019-06-26 ... 2019-06-21 return lists

页面效果

总结

以上所述是小编给大家介绍的django项目用higcharts统计最近七天文章点击量，希望对大家有所帮助，如果大家有任何疑问欢迎给我留言，小编会及时回复大家的！