怎么在django中利用echart绘制曲线图?针对这个问题,这篇文章详细介绍了相对应的分析和解答,希望可以帮助更多想解决这个问题的小伙伴找到更简单易行的方法。
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<!-- /.row --> <div class="row"> <div class="col-xs-12"> <!-- interactive chart --> <div class="box box-primary"> <div class="box-header with-border"> <i class="fa fa-bar-chart-o"></i> <h4 class="box-title">网络趋势</h4> <div class="box-tools pull-right"> <button type="button" class="btn btn-box-tool" data-widget="collapse"><i class="fa fa-minus"></i> </button> <button type="button" class="btn btn-box-tool" data-widget="remove"><i class="fa fa-times"></i></button> </div> </div> <div class="box-body"> <div class="row"> <div class="col-md-9"> </div> <div class="col-md-3"> <form action="" method="post" id="net_range"> <div class="box-tools"> <div class="form-group" > <select onchange="submitForm_net();" class="form-control select2" name="select_net"> <span class="glyphicon glyphicon-search form-control-feedback"></span> <option selected="selected">{{ net_range_default }}</option> <option>0.5小时</option> <option>1小时</option> <option>1天 </option> <option>7天 </option> <option>30天 </option> </select> </div> <!-- /.form-group --> </div> <!-- /.col --> </form> </div> <!-- /.row --> </div> <div class="net" id="net-grow-chart" ></div> </div> <!-- /.box-body--> </div> <!-- /.box --> </div> <!-- /.col --> </div> <!-- /.row -->
选择框 :
//表单提交 function submitForm_net(){ var form_net = document.getElementById("net_range"); form_net.submit(); } ECAHRTS: // #################### 【网络流量趋势】图形 #################### var myChart_net_grow = echarts.init(document.getElementById('net-grow-chart')); option_net_grow = { title: { text: '网络流量', subtext: '' }, tooltip: { trigger: 'axis', axisPointer: { type: 'cross' } }, legend: { data:['接收流量(kbps)','发送流量(kbps)'] }, toolbox: { show: true, feature: { saveAsImage: {} } }, xAxis: { type: 'category', boundaryGap: false, zlevel: 1, data: [{% for i in netgrow_list %}'{{ i.chk_time | date:"m-d H:i:s" }}',{% endfor %}] }, yAxis: { type: 'value', axisLabel: { formatter: '{value}' }, axisPointer: { snap: true }, max:100, min:0 }, series: [ { name:'接收流量(kbps)', type:'line', smooth: true, data: [{% for i in netgrow_list %}{{ i.recv_kbps }},{% endfor %}] }, { name:'发送流量(kbps)', type:'line', smooth: true, data: [{% for i in netgrow_list %}{{ i.send_kbps }},{% endfor %}] } ] }; myChart_net_grow.showLoading(); //显示loading setInterval(function () { myChart_net_grow.hideLoading(); //显示完成后不显示loading myChart_net_grow.setOption(option_net_grow, true); },500);
VIEWS:
@login_required(login_url='/login') def linux_monitor(request): messageinfo_list = models.TabAlarmInfo.objects.all() tagsdefault = request.GET.get('tagsdefault') if not tagsdefault: tagsdefault = models.TabLinuxServers.objects.order_by('tags')[0].tags cpu_range_defualt = request.GET.get('cpu_range_default') if not cpu_range_defualt: cpu_range_defualt = '1小时'.decode("utf-8") mem_range_default = request.GET.get('mem_range_default') if not mem_range_default: mem_range_default = '1小时'.decode("utf-8") net_range_default = request.GET.get('net_range_default') if not net_range_default: net_range_default = '1小时'.decode("utf-8") hostinfo = models.TabLinuxServers.objects.all().order_by('tags') net_begin_time = tools.range(net_range_default) cpu_begin_time = tools.range(cpu_range_defualt) mem_begin_time = tools.range(mem_range_default) end_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") netgrow = models.OsInfoHis.objects.filter(tags=tagsdefault, recv_kbps__isnull=False).filter( chk_time__gt=net_begin_time, chk_time__lt=end_time).order_by('-chk_time') netgrow_list = list(netgrow) netgrow_list.reverse() cpugrow = models.OsInfoHis.objects.filter(tags=tagsdefault, cpu_used__isnull=False).filter( chk_time__gt=cpu_begin_time, chk_time__lt=end_time).order_by('-chk_time') cpugrow_list = list(cpugrow) cpugrow_list.reverse() memgrow = models.OsInfoHis.objects.filter(tags=tagsdefault, mem_used__isnull=False).filter( chk_time__gt=mem_begin_time, chk_time__lt=end_time).order_by('-chk_time') memgrow_list = list(memgrow) memgrow_list.reverse() diskinfos = models.OsFilesystem.objects.filter(tags=tagsdefault) try: osinfo = models.OsInfo.objects.get(tags=tagsdefault) except models.OsInfo.DoesNotExist: osinfo = models.OsInfoHis.objects.filter(tags=tagsdefault,cpu_used__isnull=False).order_by('-chk_time')[0] if request.method == 'POST': if request.POST.has_key('select_tags') or request.POST.has_key('select_cpu')or request.POST.has_key('select_mem') or request.POST.has_key('select_net'): if request.POST.has_key('select_tags'): tagsdefault = request.POST.get('select_tags', None).encode("utf-8") elif request.POST.has_key('select_net'): net_range_defualt = request.POST.get('select_net',None) elif request.POST.has_key('select_cpu'): cpu_range_defualt = request.POST.get('select_cpu',None) elif request.POST.has_key('select_mem'): mem_range_default = request.POST.get('select_mem', None) return HttpResponseRedirect('/linux_monitor?tagsdefault=%s&net_range_default=%s&cpu_range_default=%s&mem_range_default=%s' %(tagsdefault,net_range_default,cpu_range_defualt,mem_range_default)) else: logout(request) return HttpResponseRedirect('/login/') if messageinfo_list: msg_num = len(messageinfo_list) msg_last = models.TabAlarmInfo.objects.latest('id') msg_last_content = msg_last.alarm_content tim_last = (datetime.datetime.now() - msg_last.alarm_time).seconds / 60 return render_to_response('linux_monitor.html', {'netgrow_list':netgrow_list,'cpugrow_list':cpugrow_list,'memgrow_list':memgrow_list, 'tagsdefault':tagsdefault, 'hostinfo':hostinfo, 'osinfo': osinfo,'net_range_default':net_range_default,'cpu_range_default':cpu_range_defualt,'mem_range_default':mem_range_default, 'messageinfo_list': messageinfo_list, 'msg_num': msg_num,'msg_last_content': msg_last_content, 'tim_last': tim_last,'diskinfos':diskinfos}) else: return render_to_response('linux_monitor.html', {'netgrow_list':netgrow_list,'cpugrow_list':cpugrow_list,'memgrow_list':memgrow_list, 'tagsdefault':tagsdefault, 'hostinfo':hostinfo, 'osinfo': osinfo,'net_range_default':net_range_default,'cpu_range_default':cpu_range_defualt,'mem_range_default':mem_range_default,'diskinfos':diskinfos})
效果图:
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