<script src="/UploadFiles/2021-04-08/highcharts.js">

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！