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同时设置y轴的min和toolbox中的dataZoom的bug
By
君***重
2020-11-27 09:48:54
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geo
grid
legend
markLine
markPoint
bar
effectScatter
line
lines
map
timeline
title
toolbox
tooltip
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option = { title: { text: '未来一周气温变化', subtext: '纯属虚构' }, tooltip: { trigger: 'axis' }, legend: { data: ['最高气温', '最低气温'] }, toolbox: { show: true, feature: { "dataZoom": { // yAxisIndex: 'none', }, } }, xAxis: { type: 'time', }, yAxis: { type: 'value', axisLabel: { formatter: '{value} °C' }, min: 0 }, "series": [{ "name": "国内生产总值_同比", "type": "line", "data": [ [ "2006-03-01T00:00:00", 0.16378391874086917 ], [ "2006-06-01T00:00:00", 0.17592441693028604 ], [ "2006-09-01T00:00:00", 0.16685259262650964 ], [ "2006-12-01T00:00:00", 0.1776369371103641 ], [ "2007-03-01T00:00:00", 0.2141171522699128 ], [ "2007-06-01T00:00:00", 0.2298754777088201 ], [ "2007-09-01T00:00:00", 0.23931992858251272 ], [ "2007-12-01T00:00:00", 0.23651872948809838 ], [ "2008-03-01T00:00:00", 0.21368876105900525 ], [ "2008-06-01T00:00:00", 0.21503328105511454 ], [ "2008-09-01T00:00:00", 0.1867819193720397 ], [ "2008-12-01T00:00:00", 0.12749191870272125 ], [ "2009-03-01T00:00:00", 0.06638836675623017 ], [ "2009-06-01T00:00:00", 0.06547938174454138 ], [ "2009-09-01T00:00:00", 0.08958029398460599 ], [ "2009-12-01T00:00:00", 0.13671856503455504 ], [ "2010-03-01T00:00:00", 0.18278245777191415 ], [ "2010-06-01T00:00:00", 0.18459968187270603 ], [ "2010-09-01T00:00:00", 0.17938070206095036 ], [ "2010-12-01T00:00:00", 0.18329633883390972 ], [ "2011-03-01T00:00:00", 0.19392397598664246 ], [ "2011-06-01T00:00:00", 0.19676911524609597 ], [ "2011-09-01T00:00:00", 0.19439204180299474 ], [ "2011-12-01T00:00:00", 0.15678318419402748 ], [ "2012-03-01T00:00:00", 0.12336280593740412 ], [ "2012-06-01T00:00:00", 0.10450065982090218 ], [ "2012-09-01T00:00:00", 0.09108090725350859 ], [ "2012-12-01T00:00:00", 0.09999050807863963 ], [ "2013-03-01T00:00:00", 0.10303550856527388 ], [ "2013-06-01T00:00:00", 0.09288793989671085 ], [ "2013-09-01T00:00:00", 0.10234731652492313 ], [ "2013-12-01T00:00:00", 0.10513200537506906 ], [ "2014-03-01T00:00:00", 0.0873714557634786 ], [ "2014-06-01T00:00:00", 0.0903777695868202 ], [ "2014-09-01T00:00:00", 0.08712235428750126 ], [ "2014-12-01T00:00:00", 0.07782333555658472 ], [ "2015-03-01T00:00:00", 0.07372914710023748 ], [ "2015-06-01T00:00:00", 0.07706646320266675 ], [ "2015-09-01T00:00:00", 0.06715424447093898 ], [ "2015-12-01T00:00:00", 0.06494537101093911 ], [ "2016-03-01T00:00:00", 0.07458155763709828 ], [ "2016-06-01T00:00:00", 0.07628907082006076 ], [ "2016-09-01T00:00:00", 0.08161431321019474 ], [ "2016-12-01T00:00:00", 0.0986291425221304 ], [ "2017-03-01T00:00:00", 0.11980604642571269 ], [ "2017-06-01T00:00:00", 0.113236887858432 ], [ "2017-09-01T00:00:00", 0.1140182796138014 ], [ "2017-12-01T00:00:00", 0.11278975564149651 ], [ "2018-03-01T00:00:00", 0.1108937980740945 ], [ "2018-06-01T00:00:00", 0.1089966194652845 ], [ "2018-09-01T00:00:00", 0.10190831963825242 ], [ "2018-12-01T00:00:00", 0.09930904770743765 ], [ "2019-03-01T00:00:00", 0.07932805934792708 ], [ "2019-06-01T00:00:00", 0.08310152338207066 ], [ "2019-09-01T00:00:00", 0.0756347284115999 ], [ "2019-12-01T00:00:00", 0.07422774100890672 ], [ "2020-03-01T00:00:00", -0.05300537276417616 ], [ "2020-06-01T00:00:00", 0.03106807083040275 ], [ "2020-09-01T00:00:00", 0.055364069518617054 ] ], }], }; setTimeout(function() { const obj = echarts.getInstanceByDom(document.getElementById("chart-panel")) const option = obj.getOption() option.toolbox = { feature: { dataZoom: { yAxisIndex: 'none', } } } obj.setOption(option, true) }, 2000);
