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test/dataset-category.html
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susiwen8
fix(dataset): object source contains `length` breaks render
15 фев 2023, 19:13
15 фев 2023, 19:13
da29a8d
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<!DOCTYPE html> <!-- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "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> .test-title { background: rgb(97, 17, 97); } .test-chart { height: 400px; } </style> <div id="specify-dimensions"></div> <div id="key-columns"></div> <div id="category-no-encode-two-value-axis"></div> <div id="category-no-axis-data-multi"></div> <div id="category-no-encode-no-axis-data-single"></div> <div id="category-no-encode-has-axis-data"></div> <div id="category"></div> <div id="two-value-axes"></div> <div id="object-source"></div> <div id="empty-data"></div> <div id="empty-source"></div> <div id="dynamic-category"></div> <div id="dynamic-time"></div> <div id="dimension-but-no-column1"></div> <div id="dimension-but-no-column2"></div> <div id="dimension-but-no-column3"></div> <script> var keyColumnsDrink = { 'product': ['2012', '2013', '2014', '2015', '2016', '2017'], 'Matcha Latte': [41.1, 30.4, 65.1, 53.3, 83.8, 98.7], 'Milk Tea': [86.5, 92.1, 85.7, 83.1, 73.4, 55.1], 'Cheese Cocoa': [24.1, 67.2, 79.5, 86.4, 65.2, 82.5], 'Walnut Brownie': [55.2, 67.1, 69.2, 72.4, 53.9, 39.1] }; </script> <script> require([ 'echarts' ], function (echarts) { var source = [ [21, 120, 220, 150, 320, 820], [31, 132, 182, 232, 332, 932], [41, 101, 191, 201, 301, 901], [51, 134, 234, 154, 334, 934], [61, 90, 290, 190, 309, 1290], [71, 230, 330, 330, 330, 1330], [81, 210, 310, 410, 320, 1320] ]; var option = { legend: {}, tooltip: {trigger: 'axis'}, grid: {}, xAxis: {}, yAxis: {}, dataZoom: [{}, {type: 'inside'}], dataset: [{ dimensions: ['G', 'H', 'I', 'Q', 'R'], // sourceHeader: true, source: source }], series: [ {type:'scatter', label: {show: true, position: 'top', textBorderWidth: 2, textBorderColor: '#fff'}, dimensions: ['cccccccccc', 'ddddddddddd']}, {type:'scatter', label: {show: true, position: 'top', textBorderWidth: 2, textBorderColor: '#fff'}}, {type:'scatter', label: {show: true, position: 'top', textBorderWidth: 2, textBorderColor: '#fff'}, sourceHeader: true} ] }; testHelper.create(echarts, 'specify-dimensions', { title: 'speify dimensions', dataTable: source, option: option, info: { dimensions: option.dataset[0].dimensions, serise: option.series } }); }); </script> <script> require([ 'echarts' ], function (echarts) { var option = { legend: {}, tooltip: {trigger: 'axis'}, grid: {}, xAxis: {type: 'category'}, yAxis: {}, dataset: [{ source: keyColumnsDrink }], series: [ {type:'line'}, {type:'line'}, {type:'line'} ] }; testHelper.create(echarts, 'key-columns', { title: 'category: no encode declared, two value axis', dataTable: keyColumnsDrink, option: option }); }); </script> <script> require([ 'echarts' ], function (echarts) { var source = [ [21, 120, 220, 150, 320, 820], [21, 132, 182, 232, 332, 932], [21, 101, 191, 201, 301, 901], [21, 134, 234, 154, 334, 934], [21, 90, 290, 190, 309, 1290], [21, 230, 330, 330, 330, 1330], [21, 210, 310, 410, 320, 1320] ]; var option = { legend: { data: ['A', 'B', 'C'] }, tooltip: {trigger: 'axis'}, grid: { left: '3%', right: '4%', bottom: '3%', containLabel: true }, xAxis: {}, yAxis: {}, dataset: [{ source: source }], series: [ { name:'A', type:'line', }, { name:'B', type:'line', }, { name:'C', type:'line', } ] }; testHelper.create(echarts, 'category-no-encode-two-value-axis', { title: 'category: no encode declared, two value axis', option: option, dataTable: source }); }); </script> <script> require([ 'echarts' ], function (echarts) { var source = [ ['周一', 120, '苹果', 150, 320, 820], ['周二', 132, '狸猫', 232, 332, 932], ['周三', 101, '周一', 201, 301, 901], ['周四', 134, '周八', 154, 334, 934], ['周五', 90, '周六', 190, 309, 1290], ['周六', 230, '-', 330, 330, 1330], ['周日', 210, '周日', 410, 320, 1320] ]; var option = { legend: { data:[ '{x: 0, y: 1}', '{x: 2, y: 3}', '{x: 2, y: 4}', '{x: 1, y: 2}', '{x: 2, y: 0}' ] }, tooltip: {trigger: 'axis'}, grid: { bottom: 70 }, xAxis: [{ type: 'category', boundaryGap: false }], dataZoom: { type: 'slider' }, yAxis: [{ type: 'value' }, { type: 'category' }], dataset: [{ source: source }, { source: [ [122, '第二个 dataset', 44], [56, '周六', 10], [96, '狸猫', 112] ] }], series: [ { name:'{x: 0, y: 1}', type:'line', encode: {x: 0, y: 1} }, { name:'{x: 2, y: 3}', type:'line', encode: {x: 2, y: 3} }, { name:'{x: 2, y: 4}', type:'line', encode: {x: 2, y: 4} }, { name:'{x: 1, y: 2}', type:'line', encode: {x: 1, y: 2}, datasetIndex: 1 }, { name: '{x: 2, y: 0}', type: 'scatter', yAxisIndex: 1, symbolSize: function (val) { return val[5] / 30; }, encode: {x: 2, y: 0} } ] }; testHelper.create(echarts, 'category-no-axis-data-multi', { title: 'category: no axis.data, multi category', dataTable: source, option: option }); }); </script> <script> require([ 'echarts' ], function (echarts) { var source = [ ['周一', 120, 220, 150, 320, 820], ['周二', 132, 182, 232, 332, 932], ['周三', 101, 191, 201, 301, 901], ['周四', 134, 234, 154, 334, 934], ['周五', 90, 290, 190, 309, 1290], ['周六', 230, 330, 330, 330, 1330], ['周日', 210, 310, 410, 320, 1320] ]; var option = { legend: { data:['邮件营销','联盟广告','视频广告','直接访问','搜索引擎'] }, tooltip: {trigger: 'axis'}, grid: { left: '3%', right: '4%', bottom: '3%', containLabel: true }, xAxis: [ { type: 'category', boundaryGap: false } ], yAxis: [ { type: 'value' } ], dataset: { source: source }, series: [ { name:'邮件营销', type:'line', stack: '总量', areaStyle: {normal: {}} }, { name:'联盟广告', type:'line', stack: '总量', areaStyle: {normal: {}} }, { name:'视频广告', type:'line', stack: '总量', areaStyle: {normal: {}} }, { name:'直接访问', type:'line', stack: '总量', areaStyle: {normal: {}} }, { name:'搜索引擎', type:'line', stack: '总量', label: {show: true}, areaStyle: {normal: {}} } ] }; testHelper.create(echarts, 'category-no-encode-no-axis-data-single', { title: 'category: no encode declared, no axis.data, single category', dataTable: source, option: option }); }); </script> <script> require([ 'echarts' ], function (echarts) { var source = [ ['周一', 120, 220, 150, 320, 820], ['周二', 132, 182, 232, 332, 932], ['周三', 101, 191, 201, 301, 901], ['周四', 134, 234, 154, 334, 934], ['周五', 90, 290, 190, 309, 1290], ['周六', 230, 330, 330, 330, 1330], ['周日', 210, 310, 410, 320, 1320] ]; var option = { legend: { data:['邮件营销','联盟广告','视频广告','直接访问','搜索引擎'] }, tooltip: {trigger: 'axis'}, grid: { left: '3%', right: '4%', bottom: '3%', containLabel: true }, xAxis: [ { type: 'category', boundaryGap: false, data: ['周零', '周一', '周二', '周三', '周四', '周五', '周六', '周日'] } ], yAxis: [ { type: 'value' } ], dataset: { source: source }, series: [ { name:'邮件营销', type:'line', stack: '总量', areaStyle: {normal: {}} }, { name:'联盟广告', type:'line', stack: '总量', areaStyle: {normal: {}} }, { name:'视频广告', type:'line', stack: '总量', areaStyle: {normal: {}} }, { name:'直接访问', type:'line', stack: '总量', areaStyle: {normal: {}} }, { name:'搜索引擎', type:'line', stack: '总量', label: {show: true}, areaStyle: {normal: {}} } ] }; testHelper.create(echarts, 'category-no-encode-has-axis-data', { title: 'category: no encode declared, axis.data given', dataTable: source, option: option }); }); </script> <script> require([ 'echarts' ], function (echarts) { var source = [ ['周一', 120, 220, 150, 320, 820], ['周二', 132, 182, 232, 332, 932], ['周三', 101, 191, 201, 301, 901], ['周四', 134, 234, 154, 334, 934], ['周五', 90, 290, 190, 309, 1290], ['周六', 230, 330, 330, 330, 1330], ['周日', 210, 310, 410, 320, 1320] ]; var option = { tooltip: { trigger: 'axis', axisPointer: { type: 'cross', label: { backgroundColor: '#6a7985' } } }, legend: { data:['邮件营销','联盟广告','视频广告','直接访问','搜索引擎'] }, toolbox: { feature: { saveAsImage: {} } }, grid: { left: '3%', right: '4%', bottom: '3%', containLabel: true }, xAxis: [ { type: 'category', boundaryGap: false } ], yAxis: [ { type: 'value' } ], dataset: { source: source }, series: [ { name:'邮件营销', type:'line', stack: '总量', areaStyle: {normal: {}}, encode: {x: 0, y: 1} }, { name:'联盟广告', type:'line', stack: '总量', areaStyle: {normal: {}}, encode: {x: 0, y: 2} }, { name:'视频广告', type:'line', stack: '总量', areaStyle: {normal: {}}, encode: {x: 0, y: 3} }, { name:'直接访问', type:'line', stack: '总量', areaStyle: {normal: {}}, encode: {x: 0, y: 4} }, { name:'搜索引擎', type:'line', stack: '总量', label: { normal: { show: true, position: 'top' } }, areaStyle: {normal: {}}, encode: {x: 0, y: 5} } ] }; testHelper.create(echarts, 'category', { title: 'category: encode declared', dataTable: source, option: option }); }); </script> <script> require([ 'echarts' ], function (echarts) { var source = [ ['周一', 120, 220, 150, 320, 820], ['周二', 132, 182, 232, 332, 932], ['周三', 101, 191, 201, 301, 901], ['周四', 134, 234, 154, 334, 934], ['周五', 90, 290, 190, 309, 1290], ['周六', 230, 330, 330, 330, 1330], ['周日', 210, 310, 410, 320, 1320] ]; var option = { tooltip: { }, legend: { data:['邮件营销','联盟广告','视频广告','直接访问','搜索引擎'] }, toolbox: { feature: { saveAsImage: {} } }, grid: { left: '3%', right: '4%', bottom: '3%', containLabel: true }, xAxis: {}, yAxis: {}, grid: { right: 50, bottom: 70 }, legend: { left: 'center', data: ['A Series', 'B Series'] }, dataZoom: [{ xAxisIndex: 0, type: 'inside' }, { yAxisIndex: 0, type: 'inside' }, { xAxisIndex: 0, type: 'slider' }, { yAxisIndex: 0, type: 'slider' }], dataset: { source: source }, series: [ { name:'A Series', type:'scatter', areaStyle: {normal: {}}, encode: {x: 2, y: 1} }, { name:'B Series', type:'scatter', areaStyle: {normal: {}}, encode: {x: 4, y: 1} } ] }; testHelper.create(echarts, 'two-value-axes', { title: 'two value axes (A: {x: 2, y: 1}, B: {x: 4, y: 1})', dataTable: source, option: option }); }); </script> <script> require([ 'echarts' ], function (echarts) { var option = { "dataset": { "source": [ { "elevation_above_sea_level": 4, "length": 1, "width": 4 } ] }, "xAxis": { "type": "value" }, "yAxis": { "type": "value" }, "series": [ { "type": "line", "encode": { "x": "length", "y": "elevation_above_sea_level" } } ] }; testHelper.create(echarts, 'object-source', { title: "object source that contains 'length' won't break render", option: option }); }); </script> <script> require([ 'echarts' ], function (echarts) { var option = { xAxis: {}, yAxis: {}, series: [ { type:'line' } ] }; testHelper.create(echarts, 'empty-data', { title: 'data and dataset undefined, only axis shown.', option: option }); }); </script> <script> require([ 'echarts' ], function (echarts) { var option = { xAxis: {}, yAxis: {}, series: [ { type:'line' } ], dataset: { source: [] } }; testHelper.create(echarts, 'empty-source', { title: 'data.source = [], only axis shown.', option: option }); }); </script> <script> require([ 'echarts' ], function (echarts) { var option = { legend: {}, tooltip: {trigger: 'axis'}, xAxis: {type: 'category'}, yAxis: {}, series: [ {type:'line', encode: {x: 'date', y: 'Matcha Latte', itemId: 'date'}}, {type:'line', encode: {x: 'date', y: 'Milk Tea', itemId: 'date'}}, {type:'line', encode: {x: 'date', y: 'Cheese Cocoa', itemId: 'date'}}, {type:'line', encode: {x: 'date', y: 'Walnut Brownie', itemId: 'date'}} ] }; var baseSource = [ ['date', 'Matcha Latte', 'Milk Tea', 'Cheese Cocoa', 'Walnut Brownie'], ['2012-03-01', 11.1, 40.4, 65.1, 13.3], ['2012-03-02', 36.5, 52.1, 85.7, 23.1], ['2012-03-03', 64.1, 17.2, 99.5, 16.4], ['2012-03-04', 15.2, 77.1, 29.2, 62.4], ['2012-03-05', 55.4, 73.1, 49.2, 22.9], ['2012-03-06', 35.2, 27.1, 24.6, 92.7], ['2012-03-07', 51.7, 57.1, 89.1, 69.2] ]; var lastDate = +echarts.number.parseDate('2012-03-07'); var chart = testHelper.create(echarts, 'dynamic-category', { title: 'dynamic-category', dataTable: keyColumnsDrink, option: option, info: baseSource }); if (chart) { setInterval(function () { lastDate += 3600 * 24 * 1000; baseSource.push([ echarts.format.formatTime('yyyy-MM-dd', lastDate), +(Math.random() * 100).toFixed(1), +(Math.random() * 100).toFixed(1), +(Math.random() * 100).toFixed(1), +(Math.random() * 100).toFixed(1) ]); baseSource.splice(1, 1); chart.setOption({ dataset: { source: baseSource } }); }, 1000); } }); </script> <script> require([ 'echarts' ], function (echarts) { var option = { legend: {}, tooltip: {trigger: 'axis'}, xAxis: {type: 'time'}, yAxis: {}, series: [ {type:'line', encode: {x: 'date', y: 'Matcha Latte', itemId: 'date'}}, {type:'line', encode: {x: 'date', y: 'Milk Tea', itemId: 'date'}}, {type:'line', encode: {x: 'date', y: 'Cheese Cocoa', itemId: 'date'}}, {type:'line', encode: {x: 'date', y: 'Walnut Brownie', itemId: 'date'}} ] }; var baseSource = [ ['date', 'Matcha Latte', 'Milk Tea', 'Cheese Cocoa', 'Walnut Brownie'], ['2012-03-01', 11.1, 40.4, 65.1, 13.3], ['2012-03-02', 36.5, 52.1, 85.7, 23.1], ['2012-03-03', 64.1, 17.2, 99.5, 16.4], ['2012-03-04', 15.2, 77.1, 29.2, 62.4], ['2012-03-05', 55.4, 73.1, 49.2, 22.9], ['2012-03-06', 35.2, 27.1, 24.6, 92.7], ['2012-03-07', 51.7, 57.1, 89.1, 69.2] ]; var lastDate = +echarts.number.parseDate('2012-03-07'); var chart = testHelper.create(echarts, 'dynamic-time', { title: 'dynamic-time', dataTable: keyColumnsDrink, option: option, info: baseSource }); if (chart) { setInterval(function () { lastDate += 3600 * 24 * 1000; baseSource.push([ echarts.format.formatTime('yyyy-MM-dd', lastDate), +(Math.random() * 100).toFixed(1), +(Math.random() * 100).toFixed(1), +(Math.random() * 100).toFixed(1), +(Math.random() * 100).toFixed(1) ]); baseSource.splice(1, 1); chart.setOption({ dataset: { source: baseSource } }); }, 1000); } }); </script> <script> require([ 'echarts' ], function (echarts) { var option = { legend: {}, tooltip: {}, dataset: { dimensions: ['product', '2015', '2016', '2017'], source: [ {product: 'Matcha Latte', '2015': 43.3, '2016': 85.8}, {product: 'Milk Tea', '2015': 83.1, '2016': 73.4}, {product: 'Cheese Cocoa', '2015': 86.4, '2016': 65.2}, {product: 'Walnut Brownie', '2015': 72.4, '2016': 53.9} ] }, xAxis: {type: 'category'}, yAxis: {}, series: [ {type: 'bar'}, {type: 'bar'} ] }; var chart = testHelper.create(echarts, 'dimension-but-no-column1', { title: '[obejct array] No 2017, but chart should be rendered', dataTable: option.dataset.source, option: option, info: option.dataset.dimensions, infoKey: 'dimensions' }); }); </script> <script> require([ 'echarts' ], function (echarts) { var option = { legend: {}, tooltip: {}, dataset: { dimensions: ['product', '2015', '2016', '2017'], source: [ ['Matcha Latte', 43.3, 85.8], ['Milk Tea', 83.1, 73.4], ['Cheese Cocoa', 86.4, 65.2], ['Walnut Brownie', 72.4, 53.9] ] }, xAxis: {type: 'category'}, yAxis: {}, series: [ {type: 'bar'}, {type: 'bar'} ] }; var chart = testHelper.create(echarts, 'dimension-but-no-column2', { title: '[2d-array] No 2017, but chart should be rendered', dataTable: option.dataset.source, option: option, info: option.dataset.dimensions, infoKey: 'dimensions' }); }); </script> <script> require([ 'echarts' ], function (echarts) { var option = { legend: {}, tooltip: {}, dataset: { dimensions: ['product', '2015', '2016', '2017'], source: { 'product': ['Matcha Latte', 'Milk Tea', 'Cheese Cocoa', 'Walnut Brownie'], '2015': [43.3, 83.1, 86.4, 72.4], '2016': [85.8, 73.4, 65.2, 53.9] } }, xAxis: {type: 'category'}, yAxis: {}, series: [ {type: 'bar'}, {type: 'bar'} ] }; var chart = testHelper.create(echarts, 'dimension-but-no-column3', { title: '[key columns] No 2017, but chart should be rendered', dataTable: option.dataset.source, option: option, info: option.dataset.dimensions, infoKey: 'dimensions' }); }); </script> </body> </html>