| <!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/simpleRequire.js"></script> |
| <script src="lib/config.js"></script> |
| <script src="lib/jquery.min.js"></script> |
| <script src="lib/facePrint.js"></script> |
| <script src="lib/testHelper.js"></script> |
| <!-- <script src="ut/lib/canteen.js"></script> --> |
| <link rel="stylesheet" href="lib/reset.css" /> |
| </head> |
| <body> |
| <style> |
| </style> |
| |
| |
| |
| <div id="main_simplest_pies"></div> |
| <div id="main_pies_encode_price"></div> |
| <div id="main_cartesian_parse_trim_time_reg"></div> |
| <div id="main_cartesian_sort"></div> |
| <div id="main_update_condition"></div> |
| <div id="main_update_source_no_dim_inside_data"></div> |
| <div id="main_no_dimension_defined"></div> |
| <div id="main_fromTransformResult"></div> |
| |
| |
| |
| <script> |
| var FOOD_SALES_PRICE_HEADER = |
| ['Product', 'Sales', 'Price', 'Year']; |
| var FOOD_SALES_PRICE_NO_HEADER = [ |
| ['Cake', 123, 32.12, 2011], |
| ['Cereal', 231, 14.41, 2011], |
| ['Tofu', 235, 5.14, 2011], |
| ['Dumpling', 341, 25.53, 2011], |
| ['Biscuit', 122, 29.36, 2011], |
| ['Cake', 143, 30.21, 2012], |
| ['Cereal', 201, 19.85, 2012], |
| ['Tofu', 255, 7.61, 2012], |
| ['Dumpling', 241, 27.89, 2012], |
| ['Biscuit', 102, 34.53, 2012], |
| ['Cake', 153, 28.82, 2013], |
| ['Cereal', 181, 21.16, 2013], |
| ['Tofu', 295, 4.24, 2013], |
| ['Dumpling', 281, 31.66, 2013], |
| ['Biscuit', 92, 39.82, 2013], |
| ['Cake', 223, 29.22, 2014], |
| ['Cereal', 211, 17.88, 2014], |
| ['Tofu', 345, 3.09, 2014], |
| ['Dumpling', 211, 35.05, 2014], |
| ['Biscuit', 72, 24.19, 2014] |
| ]; |
| var FOOD_SALES_PRICE_WITH_HEADER = |
| [FOOD_SALES_PRICE_HEADER] |
| .concat(FOOD_SALES_PRICE_NO_HEADER); |
| |
| var NAME_SCORE_DIM = { |
| Name: 0, |
| Age: 1, |
| Profession: 2, |
| Score: 3, |
| Date: 4, |
| DirtyNumber: 5, |
| Numeric: 6, |
| HasEmpty: 7, |
| Percent: 8 |
| }; |
| var NAME_SCORE_DIRTY_DATA_HEADER = |
| ['Name', 'Age', 'Profession', 'Score', 'Date', 'DirtyNumber', 'Numeric', 'HasEmpty', 'Percent']; |
| var NAME_SCORE_DIRTY_DATA_NO_HEADER = [ |
| // This is for trim testing. |
| [' Jobs Mat ', 41, 'Designer', 314, '2011-02-12', '13', ' 91000 ', 45, ' 12% ' ], |
| // This is for edge testing (03-01, 20) |
| ['Hottlyuipe Xu ', 20, 'Engineer', 351, '2011-03-01', 44, ' 83000 ', 13, '44%' ], |
| [' Jone Mat ', 52, 'Designer', 287, '2011-02-14', null, ' 43000 ', null, '15%' ], |
| ['Uty Xu', 19, 'Designer', 219, '2011-02-18', undefined, ' 63000 ', 81, '94%' ], |
| ['Tatum von Godden', 25, null, 301, '2011-04-02', '-', ' 13000 ', undefined, '61%' ], |
| ['Must Godden', 31, 'Engineer', 235, '2011-03-19', ' 454', '-', 32, '' ], |
| ['Caoas Xu', 71, 'Designer', 318, '2011-02-24', NaN, ' 73000 ', '-', '76%' ], |
| ['Malise Mat', 67, 'Engineer', 366, '2011-03-12', '232a', ' 23000 ', 19, '26%' ] |
| ]; |
| var NAME_SCORE_DIRTY_DATA_WITH_HEADER = |
| [NAME_SCORE_DIRTY_DATA_HEADER] |
| .concat(NAME_SCORE_DIRTY_DATA_NO_HEADER); |
| |
| </script> |
| |
| |
| |
| |
| <!-- ------------------------------- --> |
| <!-- ------------------------------- --> |
| <!-- ------------------------------- --> |
| <!-- ------------------------------- --> |
| |
| |
| |
| |
| <script> |
| require(['echarts'], function (echarts) { |
| var option = { |
| dataset: [{ |
| source: FOOD_SALES_PRICE_WITH_HEADER |
| }, { |
| transform: { |
| type: 'filter', |
| config: { dimension: 'Year', value: 2011 } |
| } |
| }, { |
| transform: { |
| type: 'filter', |
| config: { dimension: 'Year', value: 2012 } |
| } |
| }, { |
| transform: { |
| type: 'filter', |
| config: { dimension: 'Year', value: 2013 } |
| } |
| }], |
| tooltip: {}, |
| series: [{ |
| type: 'pie', |
| datasetIndex: 1, |
| radius: 50, |
| center: ['25%', '50%'] |
| }, { |
| type: 'pie', |
| datasetIndex: 2, |
| radius: 50, |
| center: ['50%', '50%'] |
| }, { |
| type: 'pie', |
| datasetIndex: 3, |
| radius: 50, |
| center: ['75%', '50%'] |
| }] |
| }; |
| |
| var chart = testHelper.create(echarts, 'main_simplest_pies', { |
| title: [ |
| '**3 pies** should shoud **Sales data** (interger about hundreds)', |
| 'Pie by "Year", Sector by "Product"' |
| ], |
| height: 300, |
| option: option |
| }); |
| }); |
| </script> |
| |
| |
| |
| |
| |
| |
| <script> |
| require(['echarts'], function (echarts) { |
| var option = { |
| dataset: [{ |
| source: FOOD_SALES_PRICE_WITH_HEADER |
| }, { |
| transform: { |
| type: 'filter', |
| config: { dimension: 'Product', value: 'Tofu' } |
| } |
| }, { |
| transform: { |
| type: 'filter', |
| config: { dimension: 'Product', value: 'Biscuit' } |
| } |
| }, { |
| transform: { |
| type: 'filter', |
| config: { dimension: 'Product', value: 'Dumpling' } |
| } |
| }], |
| series: [{ |
| type: 'pie', |
| datasetIndex: 1, |
| center: ['25%', '50%'], |
| radius: 50, |
| encode: { itemName: 'Year', value: 'Price' }, |
| }, { |
| type: 'pie', |
| datasetIndex: 2, |
| center: ['50%', '50%'], |
| radius: 50, |
| encode: { itemName: 'Year', value: 'Price' } |
| }, { |
| type: 'pie', |
| datasetIndex: 3, |
| center: ['75%', '50%'], |
| radius: 50, |
| encode: { itemName: 'Year', value: 'Price' } |
| }] |
| }; |
| |
| var chart = testHelper.create(echarts, 'main_pies_encode_price', { |
| title: [ |
| '**3 pies** should shoud **Prices data** (float like xx.xx)', |
| 'Pie by "Product", Sector by "Year"' |
| ], |
| height: 300, |
| option: option |
| }); |
| }); |
| </script> |
| |
| |
| |
| |
| |
| |
| <script> |
| require(['echarts'], function (echarts) { |
| var option = { |
| dataset: [{ source: NAME_SCORE_DIRTY_DATA_WITH_HEADER }], |
| tooltip: {}, |
| grid: [], |
| xAxis: [], |
| yAxis: [], |
| series: [] |
| }; |
| |
| var leftStart = 50; |
| var leftBase = leftStart; |
| var topBase = 30; |
| var gridWidth = 100; |
| var gridHeight = 100; |
| var gapWidth = 70; |
| var gapHeight = 80; |
| var chartWidth = 800; |
| |
| function addCartesian(opt) { |
| option.grid.push({ |
| left: leftBase, |
| top: topBase, |
| width: gridWidth, |
| height: gridHeight |
| }); |
| |
| leftBase += gridWidth + gapWidth; |
| if (leftBase + gridWidth > chartWidth) { |
| leftBase = leftStart; |
| topBase += gridHeight + gapHeight; |
| } |
| |
| option.xAxis.push({ |
| name: opt.xAxis.name, |
| type: 'category', |
| nameLocation: 'middle', |
| nameGap: 30, |
| gridIndex: option.grid.length - 1 |
| }); |
| option.yAxis.push({ |
| gridIndex: option.grid.length - 1 |
| }); |
| |
| var series = opt.series; |
| |
| series.type = 'scatter'; |
| series.xAxisIndex = option.xAxis.length - 1; |
| series.yAxisIndex = option.yAxis.length - 1; |
| series.label = { show: true, position: 'bottom' }; |
| series.encode = { |
| x: NAME_SCORE_DIM.Date, |
| y: NAME_SCORE_DIM.Score, |
| label: series.encode && series.encode.label || [NAME_SCORE_DIM.Name], |
| tooltip: [ |
| NAME_SCORE_DIM.Name, |
| NAME_SCORE_DIM.Date, |
| NAME_SCORE_DIM.Score, |
| NAME_SCORE_DIM.Profession, |
| NAME_SCORE_DIM.Age, |
| NAME_SCORE_DIM.DirtyNumber |
| ] |
| }; |
| option.series.push(series); |
| } |
| |
| |
| option.dataset.push({ |
| id: 'a', |
| transform: { |
| type: 'filter', |
| // print: true, |
| config: { dimension: NAME_SCORE_DIM.Name, eq: 'Jobs Mat', parser: 'trim' } |
| } |
| }); |
| addCartesian({ |
| series: { |
| datasetId: 'a' |
| }, |
| xAxis: { name: 'Only show "Jobs Mat"' } |
| }); |
| |
| option.dataset.push({ |
| id: 'b', |
| transform: { |
| type: 'filter', |
| // print: true, |
| config: { dimension: NAME_SCORE_DIM.Date, lt: '2011-03', gte: '2011-02', parser: 'time' } |
| } |
| }); |
| addCartesian({ |
| series: { |
| datasetId: 'b' |
| }, |
| xAxis: { name: 'Show four points\nDate in 2011-02' } |
| }); |
| |
| option.dataset.push({ |
| id: 'c', |
| transform: { |
| type: 'filter', |
| // print: true, |
| config: { dimension: NAME_SCORE_DIM.Date, lte: '2011-03', gte: '2011-02-29', parser: 'time' } |
| } |
| }); |
| addCartesian({ |
| series: { |
| datasetId: 'c' |
| }, |
| xAxis: { name: 'Show "Hottlyuipe Xu"' } |
| }); |
| |
| option.dataset.push({ |
| id: 'd', |
| transform: { |
| type: 'filter', |
| // print: true, |
| config: { dimension: NAME_SCORE_DIM.Name, reg: /\sXu$/, parser: 'trim' } |
| } |
| }); |
| addCartesian({ |
| series: { |
| datasetId: 'd' |
| }, |
| xAxis: { name: 'Show three points\nname reg /sXu$/' } |
| }); |
| |
| option.dataset.push({ |
| id: 'e', |
| transform: { |
| type: 'filter', |
| // print: true, |
| config: { dimension: NAME_SCORE_DIM.Profession, ne: 'Designer', parser: 'trim' } |
| } |
| }); |
| addCartesian({ |
| series: { |
| datasetId: 'e', |
| encode: { label: [NAME_SCORE_DIM.Profession] } |
| }, |
| xAxis: { name: 'Show four points\n!Designer' } |
| }); |
| |
| option.dataset.push({ |
| id: 'f', |
| transform: { |
| type: 'filter', |
| // print: true, |
| config: { |
| and: [ |
| { dimension: NAME_SCORE_DIM.Profession, eq: 'Designer', parser: 'trim' }, |
| { dimension: NAME_SCORE_DIM.Score, '>': 300 } |
| ] |
| } |
| } |
| }); |
| addCartesian({ |
| series: { |
| datasetId: 'f', |
| encode: { label: [NAME_SCORE_DIM.Profession] } |
| }, |
| xAxis: { name: 'Show two points\nDesigner > 300' } |
| }); |
| |
| |
| option.dataset.push({ |
| id: 'g', |
| transform: { |
| type: 'filter', |
| // print: true, |
| config: { |
| and: [ |
| { dimension: NAME_SCORE_DIM.Profession, eq: 'Engineer' }, |
| { |
| or: [ |
| { dimension: NAME_SCORE_DIM.Age, '>=': 20, '<=': 30 }, |
| { dimension: NAME_SCORE_DIM.Age, '>=': 60 } |
| ] |
| } |
| ] |
| } |
| } |
| }); |
| addCartesian({ |
| series: { |
| datasetId: 'g', |
| encode: { label: [NAME_SCORE_DIM.Profession] } |
| }, |
| xAxis: { name: 'Show three points\nEngineer && (20-30 || 60)' } |
| }); |
| |
| option.dataset.push({ |
| id: 'h', |
| transform: { |
| type: 'filter', |
| // print: true, |
| config: { |
| not: { |
| and: [ |
| { dimension: NAME_SCORE_DIM.Profession, eq: 'Engineer' }, |
| { |
| or: [ |
| { dimension: NAME_SCORE_DIM.Age, '>=': 20, '<=': 30 }, |
| { dimension: NAME_SCORE_DIM.Age, '>=': 60 } |
| ] |
| } |
| ] |
| } |
| } |
| } |
| }); |
| addCartesian({ |
| series: { |
| datasetId: 'h', |
| encode: { label: [NAME_SCORE_DIM.Profession] } |
| }, |
| xAxis: { name: 'Show six points\n!(Engineer && (20-30 || 60))' } |
| }); |
| |
| |
| option.dataset.push({ |
| id: 'i', |
| transform: { |
| type: 'filter', |
| // print: true, |
| config: true |
| } |
| }); |
| addCartesian({ |
| series: { |
| datasetId: 'i', |
| encode: { label: [NAME_SCORE_DIM.Profession] } |
| }, |
| xAxis: { name: 'Show all eight points\nconfig: true' } |
| }); |
| |
| |
| option.dataset.push({ |
| id: 'j', |
| transform: { |
| type: 'filter', |
| // print: true, |
| config: { |
| or: [{ |
| dimension: NAME_SCORE_DIM.DirtyNumber, |
| eq: 454 |
| }, { |
| dimension: NAME_SCORE_DIM.DirtyNumber, |
| eq: 232 |
| }] |
| } |
| } |
| }); |
| addCartesian({ |
| series: { |
| datasetId: 'j', |
| encode: { label: [NAME_SCORE_DIM.DirtyNumber] } |
| }, |
| xAxis: { name: 'Show only "Must Godden"' } |
| }); |
| |
| |
| |
| var chart = testHelper.create(echarts, 'main_cartesian_parse_trim_time_reg', { |
| title: [ |
| 'Check each cartesians.', |
| 'The expectationa are below each cartesian.' |
| ], |
| width: chartWidth, |
| height: 600, |
| option: option |
| }); |
| }); |
| </script> |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| <script> |
| require(['echarts'], function (echarts) { |
| var option = { |
| dataset: [{ source: NAME_SCORE_DIRTY_DATA_WITH_HEADER }], |
| tooltip: {}, |
| grid: [], |
| xAxis: [], |
| yAxis: [], |
| series: [] |
| }; |
| |
| var leftStart = 50; |
| var leftBase = leftStart; |
| var topBase = 30; |
| var gridWidth = 200; |
| var gridHeight = 100; |
| var gapWidth = 70; |
| var gapHeight = 80; |
| var chartWidth = 800; |
| |
| function addCartesian(opt) { |
| option.grid.push({ |
| left: leftBase, |
| top: topBase, |
| width: gridWidth, |
| height: gridHeight |
| }); |
| |
| leftBase += gridWidth + gapWidth; |
| if (leftBase + gridWidth > chartWidth) { |
| leftBase = leftStart; |
| topBase += gridHeight + gapHeight; |
| } |
| |
| option.xAxis.push({ |
| name: opt.xAxis.name, |
| type: 'category', |
| nameLocation: 'middle', |
| nameGap: 30, |
| gridIndex: option.grid.length - 1 |
| }); |
| option.yAxis.push({ |
| gridIndex: option.grid.length - 1 |
| }); |
| |
| var series = opt.series; |
| |
| series.type = 'bar'; |
| series.xAxisIndex = option.xAxis.length - 1; |
| series.yAxisIndex = option.yAxis.length - 1; |
| series.label = { |
| show: true, |
| position: 'insideBottom', |
| rotate: 90, |
| align: 'left', |
| verticalAlign: 'middle' |
| }; |
| series.encode = { |
| x: NAME_SCORE_DIM.Date, |
| y: NAME_SCORE_DIM.Score, |
| label: series.encode && series.encode.label || [NAME_SCORE_DIM.Name], |
| tooltip: [ |
| NAME_SCORE_DIM.Name, |
| NAME_SCORE_DIM.Date, |
| NAME_SCORE_DIM.Score, |
| NAME_SCORE_DIM.Profession, |
| NAME_SCORE_DIM.Age, |
| NAME_SCORE_DIM.DirtyNumber, |
| NAME_SCORE_DIM.Numeric, |
| NAME_SCORE_DIM.HasEmpty, |
| NAME_SCORE_DIM.Percent, |
| ] |
| }; |
| option.series.push(series); |
| } |
| |
| |
| option.dataset.push({ |
| id: 'a', |
| transform: { |
| type: 'sort', |
| // print: true, |
| config: { dimension: NAME_SCORE_DIM.Score, order: 'asc' } |
| } |
| }); |
| addCartesian({ |
| series: { |
| encode: { label: NAME_SCORE_DIM.Score }, |
| datasetId: 'a' |
| }, |
| xAxis: { name: 'Show all eight bars\norder by Score asc' } |
| }); |
| |
| option.dataset.push({ |
| id: 'b', |
| transform: { |
| type: 'sort', |
| // print: true, |
| config: { dimension: NAME_SCORE_DIM.Age, order: 'desc' } |
| } |
| }); |
| addCartesian({ |
| series: { |
| datasetId: 'b', |
| encode: { label: NAME_SCORE_DIM.Age } |
| }, |
| xAxis: { name: 'Show all eight bars\norder by Age desc' } |
| }); |
| |
| option.dataset.push({ |
| id: 'c', |
| transform: { |
| type: 'sort', |
| // print: true, |
| config: [ |
| { dimension: NAME_SCORE_DIM.Profession, order: 'asc' }, |
| { dimension: NAME_SCORE_DIM.Score, order: 'desc' } |
| ] |
| } |
| }); |
| addCartesian({ |
| series: { |
| datasetId: 'c', |
| encode: { label: [NAME_SCORE_DIM.Profession, NAME_SCORE_DIM.Score] } |
| }, |
| xAxis: { |
| name: [ |
| 'Show eight bars (empty Profession last)', |
| 'Profession asc (all Engineer left)', |
| 'Score desc in each Profession' |
| ].join('\n') |
| } |
| }); |
| |
| option.dataset.push({ |
| id: 'd', |
| transform: { |
| type: 'sort', |
| // print: true, |
| config: [ |
| { dimension: NAME_SCORE_DIM.Date, order: 'asc', parser: 'time' } |
| ] |
| } |
| }); |
| addCartesian({ |
| series: { |
| encode: { label: NAME_SCORE_DIM.Date }, |
| datasetId: 'd' |
| }, |
| xAxis: { name: 'Show all eight bars\nDate asc' } |
| }); |
| |
| |
| option.dataset.push({ |
| id: 'e', |
| transform: [{ |
| type: 'filter', |
| config: { dimension: NAME_SCORE_DIM.Age, lte: 40, gte: 20 } |
| }, { |
| type: 'sort', |
| config: { dimension: NAME_SCORE_DIM.Score, order: 'asc' } |
| }] |
| }); |
| addCartesian({ |
| series: { |
| encode: { label: [NAME_SCORE_DIM.Age, NAME_SCORE_DIM.Score] }, |
| datasetId: 'e' |
| }, |
| xAxis: { name: 'Show three bars\nFilter by Age 20-40\nOrder by Score asc' } |
| }); |
| |
| |
| option.dataset.push({ |
| id: 'f', |
| transform: { |
| type: 'sort', |
| config: [ |
| { dimension: NAME_SCORE_DIM.DirtyNumber, order: 'desc', parser: 'number' } |
| ] |
| } |
| }); |
| addCartesian({ |
| series: { |
| encode: { label: NAME_SCORE_DIM.DirtyNumber }, |
| datasetId: 'f' |
| }, |
| xAxis: { name: 'Show all eight bars\nOrder by DirtyNumber desc' } |
| }); |
| |
| |
| option.dataset.push({ |
| id: 'g', |
| transform: { |
| type: 'sort', |
| config: [ |
| { dimension: NAME_SCORE_DIM.Numeric, order: 'asc' } |
| ] |
| } |
| }); |
| addCartesian({ |
| series: { |
| encode: { label: NAME_SCORE_DIM.Numeric }, |
| datasetId: 'g' |
| }, |
| xAxis: { name: 'Show all eight bars\nOrder by Numeric asc\nOnly one empty at right' } |
| }); |
| |
| |
| option.dataset.push({ |
| id: 'h', |
| transform: { |
| type: 'sort', |
| config: [ |
| { dimension: NAME_SCORE_DIM.HasEmpty, order: 'desc' } |
| ] |
| } |
| }); |
| addCartesian({ |
| series: { |
| encode: { label: NAME_SCORE_DIM.HasEmpty }, |
| datasetId: 'h' |
| }, |
| xAxis: { name: 'Show all eight bars\nOrder by HasEmpty desc\nempty at right' } |
| }); |
| |
| |
| option.dataset.push({ |
| id: 'i', |
| transform: { |
| type: 'sort', |
| config: [ |
| { dimension: NAME_SCORE_DIM.HasEmpty, order: 'desc', incomparable: 'max' } |
| ] |
| } |
| }); |
| addCartesian({ |
| series: { |
| encode: { label: NAME_SCORE_DIM.HasEmpty }, |
| datasetId: 'i' |
| }, |
| xAxis: { name: 'Show all eight bars\nOrder by HasEmpty desc\nempty at left' } |
| }); |
| |
| |
| option.dataset.push({ |
| id: 'j', |
| transform: { |
| type: 'sort', |
| config: [ |
| { dimension: NAME_SCORE_DIM.Percent, order: 'desc', parse: 'number' } |
| ] |
| } |
| }); |
| addCartesian({ |
| series: { |
| encode: { label: NAME_SCORE_DIM.Percent }, |
| datasetId: 'j' |
| }, |
| xAxis: { name: 'Show all eight bars\nOrder by Percent desc\nempty at right' } |
| }); |
| |
| |
| var chart = testHelper.create(echarts, 'main_cartesian_sort', { |
| title: [ |
| 'Test sort transform. Check each cartesians.', |
| 'The expectationa are below each cartesian.', |
| 'Ordered dimension is on **bar label **' |
| ], |
| width: chartWidth, |
| height: 800, |
| option: option |
| }); |
| }); |
| </script> |
| |
| |
| |
| |
| |
| |
| |
| <script> |
| require(['echarts'], function (echarts) { |
| var currentYear = 2011 |
| var option = { |
| title: { |
| text: currentYear, |
| left: 'center' |
| }, |
| dataset: [{ |
| source: FOOD_SALES_PRICE_WITH_HEADER |
| }, { |
| id: 'one_year', |
| transform: { |
| type: 'filter', |
| config: { dimension: 'Year', value: currentYear } |
| } |
| }], |
| tooltip: {}, |
| xAxis: { type: 'category' }, |
| yAxis: {}, |
| series: [{ |
| name: 'one year', |
| type: 'bar', |
| datasetIndex: 1, |
| }] |
| }; |
| |
| var chart = testHelper.create(echarts, 'main_update_condition', { |
| title: [ |
| 'click "next year", check the bar change.' |
| ], |
| height: 300, |
| option: option, |
| buttons: [{ |
| text: 'next year', |
| onclick: function () { |
| currentYear++; |
| if (currentYear >= 2014) { |
| currentYear = 2011 |
| } |
| chart.setOption({ |
| title: { |
| text: currentYear |
| }, |
| dataset: { |
| id: 'one_year', |
| transform: { |
| type: 'filter', |
| config: { dimension: 'Year', value: currentYear } |
| } |
| } |
| }); |
| } |
| }] |
| }); |
| }); |
| </script> |
| |
| |
| |
| |
| |
| <script> |
| require(['echarts'], function (echarts) { |
| var currData = FOOD_SALES_PRICE_NO_HEADER; |
| |
| var option = { |
| dataset: [{ |
| id: 'all_data', |
| dimensions: FOOD_SALES_PRICE_HEADER, |
| source: currData |
| }, { |
| transform: { |
| type: 'filter', |
| print: true, |
| config: { dimension: 'Price', '<': 40 } |
| } |
| }], |
| tooltip: {}, |
| legend: {}, |
| xAxis: { type: 'category' }, |
| yAxis: { scale: true }, |
| series: [{ |
| name: 'all data', |
| type: 'scatter', |
| symbolSize: 15, |
| encode: { |
| itemId: 'Product', |
| y: 'Price', |
| label: [0, 1, 2, 3] |
| }, |
| itemStyle: { |
| color: '#999' |
| } |
| }, { |
| name: 'Price < 40', |
| type: 'scatter', |
| encode: { |
| itemId: 'Product', |
| x: 0, |
| y: 'Price', |
| label: [0, 1, 2, 3] |
| }, |
| datasetIndex: 1 |
| }] |
| }; |
| |
| var chart = testHelper.create(echarts, 'main_update_source_no_dim_inside_data', { |
| title: [ |
| 'Init: all items that Price < 40', |
| 'click "add price 10", check the bar change.' |
| ], |
| height: 300, |
| option: option, |
| buttons: [{ |
| text: 'add price 10', |
| onclick: function () { |
| currData = echarts.util.clone(currData); |
| echarts.util.each(currData, function (line) { |
| line[2] += 10; |
| }); |
| |
| chart.setOption({ |
| dataset: { |
| id: 'all_data', |
| source: currData |
| } |
| }); |
| } |
| }] |
| }); |
| }); |
| </script> |
| |
| |
| |
| |
| |
| |
| |
| |
| <script> |
| require(['echarts'], function (echarts) { |
| var option = { |
| dataset: [{ |
| source: FOOD_SALES_PRICE_NO_HEADER |
| }, { |
| transform: { |
| type: 'filter', |
| config: { dimension: 3, value: 2011 } |
| } |
| }, { |
| transform: [{ |
| type: 'filter', |
| config: { dimension: 3, value: 2012 } |
| }, { |
| type: 'sort', |
| config: { dimension: 2, order: 'asc' } |
| }] |
| }], |
| tooltip: {}, |
| series: [{ |
| type: 'pie', |
| datasetIndex: 1, |
| radius: 50, |
| center: ['35%', '50%'] |
| }, { |
| type: 'pie', |
| datasetIndex: 2, |
| radius: 50, |
| center: ['65%', '50%'] |
| }] |
| }; |
| |
| var chart = testHelper.create(echarts, 'main_no_dimension_defined', { |
| title: [ |
| '**2 pies** should shoud **Sales data** (interger about hundreds)', |
| ], |
| height: 300, |
| option: option |
| }); |
| }); |
| </script> |
| |
| |
| |
| |
| |
| |
| <script> |
| require(['echarts', 'data/Michelson-Morley.json.js'], function (echarts, rawData) { |
| var option = { |
| dataset: [{ |
| source: rawData |
| }, { |
| transform: { |
| type: 'boxplot', |
| config: { itemNameFormatter: 'expr {value}' } |
| } |
| }, { |
| fromDatasetIndex: 1, |
| fromTransformResult: 1 |
| }, { |
| fromDatasetIndex: 1, |
| fromTransformResult: 1, |
| transform: { |
| type: 'sort', |
| config: { dimension: 0, order: 'desc' } |
| } |
| }], |
| tooltip: {}, |
| xAxis: { |
| type: 'category' |
| }, |
| yAxis: { |
| }, |
| series: [{ |
| type: 'boxplot', |
| datasetIndex: 1 |
| }, { |
| type: 'scatter', |
| symbolSize: 30, |
| datasetIndex: 2 |
| }, { |
| type: 'line', |
| z: 100, |
| datasetIndex: 3 |
| }] |
| }; |
| |
| var chart = testHelper.create(echarts, 'main_fromTransformResult', { |
| title: [ |
| '**boxplot** and **outlier scatter (green)** and **line** (yellow) should be displayed.', |
| ], |
| height: 400, |
| option: option |
| }); |
| }); |
| </script> |
| |
| |
| |
| |
| |
| |
| |
| </body> |
| </html> |
| |
