| <!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'> |
| <meta name="viewport" content="width=device-width, initial-scale=1" /> |
| <script src="lib/esl.js"></script> |
| <script src="lib/config.js"></script> |
| <script src='lib/jquery.min.js'></script> |
| <script src="../dist/echarts.js"></script> |
| <script src="lib/testHelper.js"></script> |
| <link rel="stylesheet" href="lib/reset.css" /> |
| </head> |
| <body> |
| <style> |
| </style> |
| |
| <div id="main0"></div> |
| |
| |
| |
| <script> |
| |
| require([ |
| 'echarts', 'ecStat', 'ecSimpleTransform', 'ecSimpleOptionPlayer' |
| ], function (echarts, ecStat, ecSimpleTransform, ecSimpleOptionPlayer) { |
| $.get('data/life-expectancy-table.json', function (rawData) { |
| |
| echarts.registerTransform(ecSimpleTransform.aggregate); |
| echarts.registerTransform(ecSimpleTransform.id); |
| |
| const COLORS = [ |
| '#37A2DA', '#e06343', '#37a354', '#b55dba', '#b5bd48', '#8378EA', '#96BFFF' |
| ]; |
| var COUNTRY_A = 'Germany'; |
| var COUNTRY_B = 'France'; |
| const CONTENT_COLORS = { |
| [COUNTRY_A]: '#37a354', |
| [COUNTRY_B]: '#e06343' |
| }; |
| const Z2 = { |
| [COUNTRY_A]: 1, |
| [COUNTRY_B]: 2 |
| } |
| |
| // const COLORS = [ |
| // {name: 'Income', index: 0, text: '人均收入', unit: '美元'}, |
| // {name: 'LifeExpectancy', index: 1, text: '人均寿命', unit: '岁'}, |
| // {name: 'Population', index: 2, text: '总人口', unit: ''}, |
| // {name: 'Country', index: 3, text: '国家', unit: ''} |
| // ]; |
| |
| var RAW_DATA_DIMENSIONS = ['Income', 'Life Expectancy', 'Population', 'Country', 'Year']; |
| var ID_RAW_DATA_DIMENSIONS = ['Income', 'Life Expectancy', 'Population', 'Country', 'Year', 'Id']; |
| var SUM_INCOME_DIMENSIONS = ['Income', 'Country']; |
| var ANIMATION_DURATION_UPDATE = 1000; |
| var AXIS_NAME_STYLE = { |
| nameGap: 25, |
| nameTextStyle: { |
| fontSize: 20 |
| }, |
| }; |
| |
| var baseOption = { |
| animationDurationUpdate: ANIMATION_DURATION_UPDATE, |
| dataset: [{ |
| id: 'RawData', |
| source: rawData |
| }, { |
| id: 'IdRawData', |
| fromDatasetId: 'RawData', |
| transform: [{ |
| type: 'filter', |
| config: { |
| dimension: 'Year', gte: 1950 |
| } |
| }, { |
| type: 'ecSimpleTransform:id', |
| config: { |
| dimensionIndex: ID_RAW_DATA_DIMENSIONS.indexOf('Id'), |
| dimensionName: 'Id' |
| } |
| }] |
| }, { |
| id: 'CountryABData', |
| fromDatasetId: 'IdRawData', |
| transform: { |
| type: 'filter', |
| config: { |
| or: [{ |
| dimension: 'Country', '=': COUNTRY_A |
| }, { |
| dimension: 'Country', '=': COUNTRY_B |
| }] |
| } |
| } |
| }, { |
| id: 'CountryABSumIncome', |
| fromDatasetId: 'CountryABData', |
| transform: { |
| type: 'ecSimpleTransform:aggregate', |
| config: { |
| resultDimensions: [ |
| { from: 'Income', method: 'sum' }, |
| { from: 'Country' } |
| ], |
| groupBy: 'Country' |
| } |
| } |
| }], |
| tooltip: {} |
| }; |
| |
| var optionCreators = { |
| |
| 'CountryAB_Year_Income_Bar': function (datasetId, onlyCountry) { |
| return { |
| xAxis: { |
| type: 'category' |
| }, |
| yAxis: { |
| name: 'Income', |
| ...AXIS_NAME_STYLE |
| }, |
| series: { |
| type: 'custom', |
| coordinateSystem: 'cartesian2d', |
| datasetId: datasetId, |
| encode: { |
| x: 'Year', |
| y: 'Income', |
| itemName: 'Year', |
| tooltip: ['Income'], |
| }, |
| renderItem: function (params, api) { |
| var valPos = api.coord([api.value('Year'), api.value('Income')]); |
| var basePos = api.coord([api.value('Year'), 0]); |
| var width = api.size([1, 0])[0] * 0.9; |
| |
| var country = api.value('Country'); |
| if (onlyCountry != null && onlyCountry !== country) { |
| return; |
| } |
| |
| return { |
| type: 'group', |
| children: [{ |
| type: 'rect', |
| transition: ['shape', 'style'], |
| morph: true, |
| shape: { |
| x: basePos[0], |
| y: basePos[1], |
| width: width, |
| height: valPos[1] - basePos[1] |
| }, |
| z2: Z2[country], |
| style: { |
| fill: CONTENT_COLORS[country], |
| opacity: 0.8 |
| } |
| }] |
| }; |
| } |
| } |
| }; |
| }, |
| |
| 'CountryAB_Year_Population_Bar': function (datasetId, onlyCountry) { |
| return { |
| xAxis: { |
| type: 'category' |
| }, |
| yAxis: { |
| name: 'Population', |
| ...AXIS_NAME_STYLE |
| }, |
| series: { |
| type: 'custom', |
| coordinateSystem: 'cartesian2d', |
| datasetId: datasetId, |
| encode: { |
| x: 'Year', |
| y: 'Population', |
| itemName: 'Year', |
| tooltip: ['Population'], |
| }, |
| renderItem: function (params, api) { |
| var valPos = api.coord([api.value('Year'), api.value('Population')]); |
| var basePos = api.coord([api.value('Year'), 0]); |
| var width = api.size([1, 0])[0] * 0.9; |
| |
| var country = api.value('Country'); |
| if (onlyCountry != null && onlyCountry !== country) { |
| return; |
| } |
| |
| return { |
| type: 'group', |
| children: [{ |
| type: 'rect', |
| transition: ['shape', 'style'], |
| morph: true, |
| shape: { |
| x: basePos[0], |
| y: basePos[1], |
| width: width, |
| height: valPos[1] - basePos[1] |
| }, |
| style: { |
| fill: CONTENT_COLORS[country] |
| } |
| }] |
| }; |
| } |
| } |
| }; |
| }, |
| |
| 'CountryAB_Income_Population_Scatter': function (datasetId, onlyCountry) { |
| return { |
| xAxis: { |
| name: 'Income', |
| ...AXIS_NAME_STYLE, |
| scale: true |
| }, |
| yAxis: { |
| name: 'Population', |
| ...AXIS_NAME_STYLE, |
| scale: true |
| }, |
| series: { |
| type: 'custom', |
| coordinateSystem: 'cartesian2d', |
| datasetId: datasetId, |
| encode: { |
| x: 'Income', |
| y: 'Population', |
| itemName: ['Year'], |
| tooltip: ['Income', 'Population', 'Country'] |
| }, |
| renderItem: function (params, api) { |
| var pos = api.coord([api.value('Income'), api.value('Population')]); |
| |
| var country = api.value('Country'); |
| if (onlyCountry != null && onlyCountry !== country) { |
| return; |
| } |
| |
| return { |
| type: 'group', |
| children: [{ |
| type: 'circle', |
| transition: ['shape', 'style'], |
| morph: true, |
| shape: { |
| cx: pos[0], |
| cy: pos[1], |
| r: 10 |
| }, |
| style: { |
| fill: CONTENT_COLORS[country], |
| lineWidth: 1, |
| stroke: '#333', |
| opacity: 1, |
| enterFrom: { |
| opacity: 0 |
| } |
| } |
| }] |
| }; |
| } |
| } |
| }; |
| }, |
| |
| |
| 'CountryAB_Income_Sum_Bar': function (datasetId) { |
| return { |
| xAxis: { |
| name: 'Income', |
| ...AXIS_NAME_STYLE |
| }, |
| yAxis: { |
| type: 'category' |
| }, |
| series: { |
| type: 'custom', |
| coordinateSystem: 'cartesian2d', |
| datasetId: datasetId, |
| encode: { |
| x: 'Income', |
| y: 'Country', |
| itemName: ['Country'], |
| tooltip: ['Income'] |
| }, |
| renderItem: function (params, api) { |
| var country = api.ordinalRawValue('Country'); |
| var valPos = api.coord([api.value('Income'), country]); |
| var basePos = api.coord([0, country]); |
| var height = api.size([0, 1])[1] * 0.4; |
| |
| return { |
| type: 'group', |
| children: [{ |
| type: 'rect', |
| transition: ['shape', 'style'], |
| morph: true, |
| shape: { |
| x: basePos[0], |
| y: valPos[1] - height / 2, |
| width: valPos[0] - basePos[0], |
| height: height |
| }, |
| style: { |
| fill: CONTENT_COLORS[country] |
| // lineWidth: 0, |
| // stroke: '#333', |
| // opacity: 1, |
| // enterFrom: { |
| // opacity: 0 |
| // } |
| } |
| }] |
| }; |
| } |
| } |
| }; |
| } |
| |
| }; |
| |
| var player = ecSimpleOptionPlayer.create({ |
| chart: function () { |
| return chart; |
| }, |
| seriesIndex: 0, |
| replaceMerge: ['xAxis', 'yAxis'], |
| dataMeta: { |
| 'IdRawData': { |
| dimensions: ID_RAW_DATA_DIMENSIONS, |
| uniqueDimension: 'Id' |
| }, |
| 'CountryABData': { |
| dimensions: ID_RAW_DATA_DIMENSIONS, |
| uniqueDimension: 'Id' |
| }, |
| 'CountryABSumIncome': { |
| dimensions: SUM_INCOME_DIMENSIONS, |
| uniqueDimension: 'Country' |
| } |
| }, |
| optionList: [{ |
| dataMetaKey: 'CountryABData', |
| option: optionCreators['CountryAB_Year_Income_Bar']('CountryABData', COUNTRY_A) |
| }, { |
| dataMetaKey: 'CountryABData', |
| option: optionCreators['CountryAB_Year_Population_Bar']('CountryABData', COUNTRY_A) |
| }, { |
| dataMetaKey: 'CountryABData', |
| option: optionCreators['CountryAB_Income_Population_Scatter']('CountryABData', COUNTRY_A) |
| }, { |
| dataMetaKey: 'CountryABData', |
| option: optionCreators['CountryAB_Income_Population_Scatter']('CountryABData') |
| }, { |
| dataMetaKey: 'CountryABSumIncome', |
| option: optionCreators['CountryAB_Income_Sum_Bar']('CountryABSumIncome') |
| }, { |
| dataMetaKey: 'CountryABData', |
| option: optionCreators['CountryAB_Year_Income_Bar']('CountryABData') |
| }] |
| }); |
| |
| |
| var chart = testHelper.create(echarts, 'main0', { |
| title: [ |
| 'Test: buttons, should morph animation merge/split.', |
| 'Test: click buttons **before animation finished**, should no blink.', |
| 'Test: click buttons **twice**, should no blink.', |
| 'Test: use dataZoom, update animation should exist' |
| ], |
| option: baseOption, |
| lazyUpdate: true, |
| height: 600, |
| buttons: [{ |
| text: 'next', |
| onclick: function () { |
| player.next(); |
| } |
| }, { |
| text: 'previous', |
| onclick: function () { |
| player.previous(); |
| } |
| }] |
| }); |
| |
| player.next(); |
| |
| }); |
| |
| }); |
| |
| </script> |
| |
| |
| |
| </body> |
| </html> |
