下载higcharts插件放在static文件夹下

前端引入

<script src="/static/highcharts/highcharts.js"></script>
<script src="/static/highcharts/modules/exporting.js"></script>
<script src="/static/highcharts/modules/oldie.js"></script>
<script src="/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

 

 done。