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| to you under the Apache License, Version 2.0 (the |
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| with the License. You may obtain a copy of the License at |
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| http://www.apache.org/licenses/LICENSE-2.0 |
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| "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| KIND, either express or implied. See the License for the |
| specific language governing permissions and limitations |
| under the License. |
| --> |
| |
| <html> |
| <head> |
| <meta charset="utf-8"> |
| <script src="lib/simpleRequire.js"></script> |
| <script src="lib/config.js"></script> |
| <script src="lib/testHelper.js"></script> |
| <meta name="viewport" content="width=device-width, initial-scale=1" /> |
| <link rel="stylesheet" href="lib/reset.css" /> |
| </head> |
| <body> |
| <style> |
| h1 { |
| line-height: 60px; |
| height: 60px; |
| background: #ddd; |
| text-align: center; |
| font-weight: bold; |
| font-size: 14px; |
| } |
| .chart { |
| height: 350px; |
| } |
| </style> |
| |
| |
| <h1>define dim name in tooltip</h1> |
| <div class="chart" id="dim"></div> |
| <h1>change tooltip order (Tooltip of the first series should be: median, 1分位, Q3)</h1> |
| <div class="chart" id="order"></div> |
| <h1>define which dim on x or y. encode: {x: 2, y: 1, label: 4}</h1> |
| <div class="chart" id="dimXY"></div> |
| |
| <div class="chart" id="ignoreX"></div> |
| |
| |
| |
| |
| |
| <script> |
| |
| require([ |
| 'echarts', |
| 'data/security-sh-2013.json.js' |
| ], function (echarts, rawData) { |
| |
| var dom = document.getElementById('dim'); |
| if (!dom) { |
| return; |
| } |
| var chart = echarts.init(dom); |
| |
| function splitData(rawData) { |
| var categoryData = []; |
| var values = [] |
| for (var i = 0; i < rawData.length; i++) { |
| categoryData.push(rawData[i].splice(0, 1)[0]); |
| values.push(rawData[i]) |
| } |
| return { |
| categoryData: categoryData, |
| values: values |
| }; |
| } |
| |
| var data = splitData(rawData); |
| |
| chart.setOption({ |
| legend: { |
| data: ['上证指数', '开盘'] |
| }, |
| tooltip: { |
| trigger: 'axis', |
| axisPointer: { |
| type: 'line' |
| } |
| }, |
| grid: { |
| left: '10%', |
| right: '10%', |
| bottom: '15%' |
| }, |
| xAxis: { |
| type: 'category', |
| data: data.categoryData, |
| scale: true, |
| boundaryGap : false, |
| axisLine: {onZero: false}, |
| splitLine: {show: false}, |
| splitNumber: 20, |
| min: 'dataMin', |
| max: 'dataMax' |
| }, |
| yAxis: { |
| scale: true, |
| splitArea: { |
| show: true |
| } |
| }, |
| dataZoom: [ |
| { |
| type: 'inside', |
| start: 50, |
| end: 100 |
| }, |
| { |
| show: true, |
| type: 'slider', |
| y: '90%', |
| start: 50, |
| end: 100 |
| } |
| ], |
| series: [ |
| { |
| name: 'line', |
| type: 'line', |
| data: (function () { |
| opens = []; |
| for (var i = 0, len = data.values.length; i < len; i++) { |
| opens.push(data.values[i][0]); |
| } |
| return opens; |
| })(), |
| smooth: true, |
| lineStyle: { |
| normal: {color: '#aaa'} |
| } |
| }, |
| { |
| name: '上证指数', |
| type: 'candlestick', |
| dimensions: ['base', '开盘', '收盘', '最高', '最低'], |
| data: data.values |
| } |
| ] |
| }); |
| }) |
| |
| </script> |
| |
| |
| |
| |
| |
| |
| |
| |
| <script> |
| |
| var chart; |
| var data; |
| |
| require([ |
| 'echarts' |
| ], function (echarts) { |
| |
| data = []; |
| for (var seriesIndex = 0; seriesIndex < 5; seriesIndex++) { |
| var seriesData = []; |
| for (var i = 0; i < 18; i++) { |
| var cate = []; |
| for (var j = 0; j < 100; j++) { |
| cate.push(Math.random() * 200); |
| } |
| seriesData.push(cate); |
| } |
| data.push(seriesData); |
| } |
| |
| var option = { |
| title: [ |
| { |
| text: 'Multiple Categories', |
| left: 'center', |
| } |
| ], |
| legend: { |
| top: '10%', |
| data: ['category0', 'category1', 'category2', 'category3'] |
| }, |
| tooltip: { |
| trigger: 'axis', |
| axisPointer: { |
| type: 'shadow' |
| } |
| }, |
| grid: { |
| left: '10%', |
| top: '20%', |
| right: '10%', |
| bottom: '15%' |
| }, |
| xAxis: { |
| type: 'category', |
| data: data[0].axisData, |
| boundaryGap: true, |
| nameGap: 30, |
| splitArea: { |
| show: true |
| }, |
| axisLabel: { |
| formatter: 'expr {value}' |
| }, |
| splitLine: { |
| show: false |
| } |
| }, |
| yAxis: { |
| type: 'value', |
| name: 'Value', |
| splitArea: { |
| show: false |
| } |
| }, |
| dataZoom: [ |
| { |
| type: 'inside', |
| start: 0, |
| end: 20 |
| }, |
| { |
| show: true, |
| height: 20, |
| type: 'slider', |
| bottom: 50, |
| xAxisIndex: [0], |
| yAxisIndex: [], |
| start: 0, |
| end: 20 |
| } |
| ], |
| dataset: [{ |
| source: data[0] |
| }, { |
| source: data[1] |
| }, { |
| transform: { |
| type: 'boxplot' |
| } |
| }, { |
| transform: { |
| type: 'boxplot' |
| } |
| }], |
| series: [ |
| { |
| name: 'category0', |
| type: 'boxplot', |
| dimensions: [null, '最小', '1分位'], |
| encode: { |
| tooltip: [3, 2, 4] |
| }, |
| datasetIndex: 2 |
| }, |
| { |
| name: 'category1', |
| type: 'boxplot', |
| datasetIndex: 3 |
| } |
| ] |
| }; |
| |
| testHelper.createChart(echarts, 'order', option); |
| }) |
| |
| </script> |
| |
| |
| |
| |
| |
| |
| |
| |
| <script> |
| require([ |
| 'echarts' |
| ], function (echarts) { |
| data = [ |
| ['Blouse "Blue Viola"', 101.88, 99.75, 23, 17, 32, 18], |
| ['Dress "Daisy"', 155.8, 144.03, 18, 12, 26, 33], |
| ['Trousers "Cutesy Classic"', 203.25, 173.56, 22, 14, 20, 46], |
| ['Dress "Morning Dew"', 256.0, 120.5, 22, 16, 20, 23], |
| ['Turtleneck "Dark Chocolate"', 408.89, 294.75, 18, 22, 23, 19], |
| ['Jumper "Early Spring"', 427.36, 430.24, 23, 22, 28, 34], |
| ['Breeches "Summer Mood"', 356.0, 135.5, 12, 16, 23, 31], |
| ['Dress "Mauve Chamomile"', 406.0, 95.5, 22, 16, 40, 23], |
| ['Dress "Flying Tits"', 527.36, 503.24, 15, 22, 42, 24], |
| ['Dress "Singing Nightingales"', 587.36, 543.24, 25, 12, 28, 37], |
| ['Sundress "Cloudy weather"', 603.36, 407.24, 15, 12, 22, 24], |
| ['Sundress "East motives"', 633.36, 477.24, 32, 10, 39, 19], |
| ['Sweater "Cold morning"', 517.36, 437.24, 21, 17, 29, 48], |
| ['Trousers "Lavender Fields"', 443.36, 387.24, 17, 26, 31, 41], |
| ['Jumper "Coffee with Milk"', 543.36, 307.24, 19, 10, 34, 31], |
| ['Blouse "Blooming Cactus"', 790.36, 277.24, 23, 18, 26, 28], |
| ['Sweater "Fluffy Comfort"', 790.34, 678.34, 18, 12, 28, 34] |
| ]; |
| |
| var encode = { |
| x: 0, |
| y: [1, 2] |
| }; |
| |
| var option = { |
| tooltip: { |
| axisPointer: { |
| type: 'cross' |
| } |
| }, |
| dataZoom: [{ |
| type: 'slider', |
| start: 50, |
| end: 70 |
| }, { |
| type: 'inside', |
| start: 50, |
| end: 70 |
| }], |
| xAxis: {}, |
| yAxis: {}, |
| series: [{ |
| type: 'scatter', |
| data: data, |
| encode: { |
| x: 2, |
| y: 1, |
| label: 4 |
| }, |
| itemStyle: { |
| normal: { |
| color: '#77bef7' |
| } |
| }, |
| label: { |
| normal: { |
| show: true, |
| position: 'top', |
| textStyle: { |
| color: '#333' |
| } |
| } |
| } |
| }] |
| }; |
| |
| testHelper.createChart(echarts, 'dimXY', option); |
| }); |
| </script> |
| |
| |
| |
| |
| |
| |
| <script> |
| |
| var chart; |
| var myChart; |
| var option; |
| |
| require([ |
| 'echarts'/*, 'map/js/china' */ |
| ], function (echarts) { |
| |
| var option = { |
| title: { |
| text: 'deafault (filter)' |
| }, |
| xAxis: {}, |
| yAxis: {}, |
| dataZoom: [{ |
| type: 'inside', |
| xAxisIndex: 0 |
| }, { |
| type: 'slider', |
| xAxisIndex: 0 |
| }, { |
| type: 'inside', |
| yAxisIndex: 0 |
| }, { |
| type: 'slider', |
| yAxisIndex: 0 |
| }], |
| series: [{ |
| type: 'custom', |
| renderItem: function (params, api) { |
| var y = api.coord([0, api.value(0)])[1]; |
| var x = 100; |
| return { |
| type: 'circle', |
| shape: { |
| cx: x, |
| cy: y, |
| r: 30 |
| }, |
| style: { |
| fill: 'blue' |
| } |
| }; |
| }, |
| encode: { |
| x: -1, |
| y: 0 |
| }, |
| data: [ |
| [122, null], |
| [333, null] |
| ] |
| }, { |
| type: 'scatter', |
| data: [[21, 43], [55, 66]] |
| }] |
| }; |
| |
| chart = myChart = testHelper.create(echarts, 'ignoreX', { |
| option: option, |
| title: [ |
| 'series not controlled by xAxis but only by yAxis', |
| 'x axis can not filter blue circle, but y axis can do' |
| ], |
| info: option.series[0].encode, |
| buttons: [{ |
| text: 'filterMode: weakFilter', |
| onclick: function () { |
| option.dataZoom[0].filterMode = option.dataZoom[1].filterMode = 'weakFilter'; |
| option.title.text = 'filterMode: weakFilter'; |
| chart.setOption(option, true); |
| } |
| }, { |
| text: 'filterMode: deafault (filter)', |
| onclick: function () { |
| option.dataZoom[0].filterMode = option.dataZoom[1].filterMode = void 0; |
| option.title.text = 'deafault (filter)' |
| chart.setOption(option, true); |
| } |
| }, { |
| text: 'filterMode: empty', |
| onclick: function () { |
| option.dataZoom[0].filterMode = option.dataZoom[1].filterMode = 'empty'; |
| option.title.text = 'filterMode: empty'; |
| chart.setOption(option, true); |
| } |
| }, { |
| text: 'filterMode: none', |
| onclick: function () { |
| option.dataZoom[0].filterMode = option.dataZoom[1].filterMode = 'none' |
| option.title.text = 'filterMode: none'; |
| chart.setOption(option, true); |
| } |
| }] |
| }); |
| }); |
| |
| </script> |
| |
| |
| |
| |
| |
| |
| </body> |
| </html> |