Merge pull request #12182 from dataease/pr@dev@chart-add-stock-line

feat(视图): 支持K线图
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jianneng-fit2cloud 2024-09-12 21:09:11 +08:00 committed by GitHub
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11 changed files with 739 additions and 9 deletions

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@ -0,0 +1,11 @@
<svg width="80" height="56" viewBox="0 0 80 56" fill="none" xmlns="http://www.w3.org/2000/svg">
<rect x="15" y="27" width="2" height="22" fill="#BBBFC4"/>
<rect x="31" y="17" width="2" height="28" fill="#646A73"/>
<rect x="47" y="4" width="2" height="41" fill="#BBBFC4"/>
<rect x="63" y="4" width="2" height="45" fill="#646A73"/>
<path d="M11 37.5C11 37.2239 11.2239 37 11.5 37H20.5C20.7761 37 21 37.2239 21 37.5V46.5C21 46.7761 20.7761 47 20.5 47H11.5C11.2239 47 11 46.7761 11 46.5V37.5Z" fill="#BBBFC4"/>
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<path d="M43 8.5C43 8.22386 43.2239 8 43.5 8H52.5C52.7761 8 53 8.22386 53 8.5V31.5C53 31.7761 52.7761 32 52.5 32H43.5C43.2239 32 43 31.7761 43 31.5V8.5Z" fill="#BBBFC4"/>
<path d="M59 8.5C59 8.22386 59.2239 8 59.5 8H68.5C68.7761 8 69 8.22386 69 8.5V45.5C69 45.7761 68.7761 46 68.5 46H59.5C59.2239 46 59 45.7761 59 45.5V8.5Z" fill="#646A73"/>
<path fill-rule="evenodd" clip-rule="evenodd" d="M5 51H76L76 54H4V51H5Z" fill="#646A73"/>
</svg>

After

Width:  |  Height:  |  Size: 1.1 KiB

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@ -1412,6 +1412,7 @@ export default {
chart_bar_stack_horizontal: 'Stack Horizontal Bar',
chart_percentage_bar_stack_horizontal: 'Horizontal Percentage Stack Bar',
chart_bidirectional_bar: 'Bidirectional Bar',
chart_stock_line: 'Stock Line',
chart_line: 'Base Line',
chart_line_stack: 'Stack Line',
chart_pie: 'Pie',

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@ -1411,6 +1411,7 @@ export default {
chart_bar_stack_horizontal: '橫嚮堆疊柱狀圖',
chart_percentage_bar_stack_horizontal: '橫嚮百分比柱狀圖',
chart_bidirectional_bar: '對稱柱狀圖',
chart_stock_line: 'K 線圖',
chart_line: '基礎摺線圖',
chart_line_stack: '堆疊摺線圖',
chart_pie: '餅圖',

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@ -1408,6 +1408,7 @@ export default {
chart_bar_stack_horizontal: '横向堆叠柱状图',
chart_percentage_bar_stack_horizontal: '横向百分比柱状图',
chart_bidirectional_bar: '对称柱状图',
chart_stock_line: 'K 线图',
chart_line: '基础折线图',
chart_line_stack: '堆叠折线图',
chart_pie: '饼图',

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@ -1,4 +1,4 @@
import { Column, Bar, BidirectionalBar } from '@antv/g2plot'
import {Column, Bar, BidirectionalBar, Mix} from '@antv/g2plot'
import {
getTheme,
getLabel,
@ -17,6 +17,14 @@ import {
import { antVCustomColor, getColors, handleEmptyDataStrategy, hexColorToRGBA, handleStackSort } from '@/views/chart/chart/util'
import { cloneDeep, find, groupBy, each } from 'lodash-es'
import { formatterItem, valueFormatter } from '@/views/chart/chart/formatter'
import {
calculateMinMax,
calculateMovingAverage,
configXAxis, configYAxis,
configBasicStyle,
configTooltip,
registerEvent, customConfigEmptyDataStrategy
} from "@/views/chart/chart/bar/stock_line_util";
export function baseBarOptionAntV(container, chart, action, isGroup, isStack) {
// theme
@ -587,3 +595,201 @@ export function baseBidirectionalBarOptionAntV(container, chart, action, isGroup
configPlotTooltipEvent(chart, plot)
return plot
}
export function stockLineOptionAntV(container, chart, action) {
if (!chart.data?.data?.length) {
return
}
const xAxis = JSON.parse(chart.xaxis)
const yAxis = JSON.parse(chart.yaxis)
if (yAxis.length !== 4) {
return
}
const theme = getTheme(chart)
const legend = getLegend(chart)
const basicStyle = JSON.parse(chart.customAttr).color
const colors = []
const alpha = basicStyle.alpha
basicStyle.colors.forEach(ele => {
colors.push(hexColorToRGBA(ele, alpha))
})
const data = cloneDeep(chart.data?.tableRow ?? [])
// 时间字段
const xAxisDataeaseName = xAxis[0].dataeaseName
const averages = [5, 10, 20, 60, 120, 180]
const legendItems = [
{
name: '日K',
value: 'k',
marker: {
symbol: (x, y, r) => {
const width = r * 1
const height = r
return [
// 矩形框
['M', x - width - 1 / 2, y - height / 2],
['L', x + width + 1 / 2, y - height / 2],
['L', x + width + 1 / 2, y + height / 2],
['L', x - width - 1 / 2, y + height / 2],
['Z'],
// 中线
['M', x, y + 10 / 2],
['L', x, y - 10 / 2]
]
},
style: { fill: 'red', stroke: 'red', lineWidth: 2 }
}
}
]
// 计算均线数据
const averagesLineData = new Map()
averages.forEach(item => {
averagesLineData.set('ma' + item, calculateMovingAverage(data, item, chart))
})
// 将均线数据设置到主数据中
data.forEach((item) => {
const date = item[xAxisDataeaseName]
for (const [key, value] of averagesLineData) {
item[key] = value.find(m => m[xAxisDataeaseName] === date)?.value
}
})
const averageLines = []
let index = 0
const start = 0.5
const end = 1
const startIndex = Math.floor(start * data.length)
const endIndex = Math.ceil(end * data.length)
const filteredData = data.slice(startIndex, endIndex)
const { maxValue, minValue } = calculateMinMax(filteredData)
for (const key of averagesLineData.keys()) {
index++
averageLines.push({
type: 'line',
top: true,
options: {
smooth: false,
xField: xAxisDataeaseName,
yField: key,
color: colors[index - 1],
xAxis: null,
yAxis: {
label: false,
min: minValue,
max: maxValue,
grid: null,
line: null
},
lineStyle: {
lineWidth: 2
}
}
})
legendItems.push({
name: key.toUpperCase(),
value: key,
marker: { symbol: 'hyphen', style: { stroke: colors[index - 1], lineWidth: 2 } }
})
}
const axis =JSON.parse(chart.xaxis) ?? []
let dateFormat
const dateSplit = axis[0]?.datePattern === 'date_split' ? '/' : '-'
switch (axis[0]?.dateStyle) {
case 'y':
dateFormat = 'YYYY'
break
case 'y_M':
dateFormat = 'YYYY' + dateSplit + 'MM'
break
case 'y_M_d':
dateFormat = 'YYYY' + dateSplit + 'MM' + dateSplit + 'DD'
break
case 'y_M_d_H':
dateFormat = 'YYYY' + dateSplit + 'MM' + dateSplit + 'DD' + ' HH'
break
case 'y_M_d_H_m':
dateFormat = 'YYYY' + dateSplit + 'MM' + dateSplit + 'DD' + ' HH:mm'
break
case 'y_M_d_H_m_s':
dateFormat = 'YYYY' + dateSplit + 'MM' + dateSplit + 'DD' + ' HH:mm:ss'
break
default:
dateFormat = 'YYYY-MM-dd HH:mm:ss'
}
let option = {
data,
theme,
appendPadding: getPadding(chart),
slider: {
start: 0.5,
end: 1
},
plots: [
...averageLines,
{
type: 'stock',
top: true,
options: {
meta: {
[xAxisDataeaseName]: {
mask: dateFormat
}
},
stockStyle: {
stroke: 'black',
lineWidth: 0.5
},
xField: xAxisDataeaseName,
yField: [
yAxis[0].dataeaseName,
yAxis[1].dataeaseName,
yAxis[2].dataeaseName,
yAxis[3].dataeaseName
],
legend: !legend?false:{
position: 'top',
custom: true,
items: legendItems
},
fallingFill: hexColorToRGBA('#ef5350', alpha),
risingFill: hexColorToRGBA('#26a69a', alpha),
}
}
]
}
option = configBasicStyle(chart, option)
option = configXAxis(chart, option)
option = configYAxis(chart, option)
option = configTooltip(chart, option)
option = customConfigEmptyDataStrategy(chart,option)
const plot = new Mix(container, option)
registerEvent(data, plot, averagesLineData)
plot.on('schema:click', evt => {
const selectSchema = evt.data.data[xAxisDataeaseName]
const paramData = cloneDeep(chart.data?.data ?? [])
const selectData = paramData.filter(item => item.field === selectSchema)
const quotaList = []
selectData.forEach(item => {
quotaList.push({ ...item.quotaList[0], value: item.value })
})
if (selectData.length) {
const param = {
x: evt.x,
y: evt.y,
data: {
data: {
...evt.data.data,
value: quotaList[0].value,
name: selectSchema,
dimensionList: selectData[0].dimensionList,
quotaList: quotaList
}
}
}
action(param)
}
})
return plot
}

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@ -0,0 +1,423 @@
import {getXAxis, getYAxis} from '@/views/chart/chart/common/common_antv'
import { valueFormatter } from '@/views/chart/chart/formatter'
import {cloneDeep} from "lodash";
import {handleEmptyDataStrategy} from "@/views/chart/chart/util";
/**
* 计算收盘价平均值
* @param data
* @param dayCount
* @param chart
*/
export const calculateMovingAverage = (data, dayCount, chart) => {
const xAxis = JSON.parse(chart.xaxis)
const yAxis = JSON.parse(chart.yaxis)
// 时间字段
const xAxisDataeaseName = xAxis[0].dataeaseName
// 收盘价字段
const yAxisDataeaseName = yAxis[1].dataeaseName
const result = []
for (let i = 0; i < data.length; i++) {
if (i < dayCount) {
result.push({
[xAxisDataeaseName]: data[i][xAxisDataeaseName],
value: null
})
} else {
const sum = data
.slice(i - dayCount + 1, i + 1)
.reduce((sum, item) => sum + item[yAxisDataeaseName], 0)
result.push({
[xAxisDataeaseName]: data[i][xAxisDataeaseName],
value: parseFloat((sum / dayCount).toFixed(3))
})
}
}
return result
}
/**
* 获取数据集合中对象属性值的最大最小值
* @param data
*/
export const calculateMinMax = data => {
return data.reduce(
(acc, current) => {
// 获取 current 对象的所有属性值
const values = Object.values(current)
// 过滤出数字值
const numericValues = values.filter(value => typeof value === 'number') ?? []
// 找到 current 对象的数字属性值中的最大值和最小值
// 如果存在数字值,则计算当前对象的最大值和最小值
if (numericValues.length > 0) {
const currentMax = Math.max(...numericValues)
const currentMin = Math.min(...numericValues)
// 更新全局最大值和最小值
acc.maxValue = Math.max(acc.maxValue, currentMax)
acc.minValue = Math.min(acc.minValue, currentMin)
}
return acc
},
{ maxValue: Number.NEGATIVE_INFINITY, minValue: Number.POSITIVE_INFINITY }
)
}
/**
* 注册图表事件
* @param data
* @param plot
* @param averagesLineData
*/
export const registerEvent = (data, plot, averagesLineData) => {
// 监听图例点击事件,显示隐藏
let risingVisible = true
plot.on('legend-item:click', evt => {
const { value } = evt.target.get('delegateObject').item
if (value === 'k') {
risingVisible = !risingVisible
plot.chart.geometries.forEach(geom => {
if (geom.type === 'schema') {
geom.changeVisible(risingVisible)
}
})
} else {
const lines = plot.chart.geometries.filter(item => item.type === 'line')
const points = plot.chart.geometries.filter(item => item.type === 'point')
let lineIndex = 0
for (const key of averagesLineData.keys()) {
lineIndex++
if (key === value) {
lines[lineIndex - 1].changeVisible(!lines[lineIndex - 1].visible)
points[lineIndex - 1].changeVisible(!points[lineIndex - 1].visible)
}
}
}
})
// 监听图表渲染事件
plot.on('afterrender', e => {
let first = false
if (plot.chart.options.slider.start === 0.5 && plot.chart.options.slider.end === 1) {
first = true
}
if (e.view?.options?.scales) {
const startIndex = Math.floor(0.5 * data.length)
const endIndex = Math.ceil(1 * data.length)
const filteredData = data.slice(startIndex, endIndex)
const { maxValue, minValue } = calculateMinMax(
first ? filteredData : e.view.filteredData
)
const a = e.view.options.scales
Object.keys(a).forEach(item => {
if (a[item].max) {
a[item].max = maxValue
}
if (a[item].min) {
a[item].min = minValue
}
})
}
})
// 监听图例组点击事件,设置缩放
plot.on('legend-item-group:click', e => {
if (e.view?.options?.scales) {
const { maxValue, minValue } = calculateMinMax(e.view.filteredData)
const a = e.view.options.scales
Object.keys(a).forEach(item => {
if (a[item].max) {
a[item].max = maxValue
}
if (a[item].min) {
a[item].min = minValue
}
})
}
})
// 监听滑块事件,设置缩放
plot.on('slider:valuechanged', e => {
const start = e.gEvent.currentTarget.cfg.component.cfg.start
const end = e.gEvent.currentTarget.cfg.component.cfg.end
plot.chart.options.slider.start = start
plot.chart.options.slider.end = end
const startIndex = Math.floor(start * data.length)
const endIndex = Math.ceil(end * data.length)
const filteredData = data.slice(startIndex, endIndex)
const { maxValue, minValue } = calculateMinMax(filteredData)
const a = e.view.options.scales
Object.keys(a).forEach(item => {
if (a[item].max) {
a[item].max = maxValue
}
if (a[item].min) {
a[item].min = minValue
}
})
})
}
export const configBasicStyle = (chart, options) => {
// size
const customAttr = JSON.parse(chart.customAttr)
const s = JSON.parse(JSON.stringify(customAttr.size))
const smooth = s.lineSmooth
const point = {
size: s.lineSymbolSize,
shape: s.lineSymbol
}
const lineStyle = {
lineWidth: s.lineWidth
}
const plots = []
options.plots.forEach(item => {
if (item.type === 'line') {
plots.push({ ...item, options: { ...item.options, smooth, point, lineStyle } })
}
if (item.type === 'stock') {
plots.push({ ...item })
}
})
return {
...options,
plots
}
}
export const configTooltip = (chart, options)=> {
const tooltipAttr = JSON.parse(chart.customAttr).tooltip
const newPlots = []
const linePlotList = options.plots.filter(item => item.type === 'line')
linePlotList.forEach(item => {
newPlots.push(item)
})
const stockPlot = options.plots.filter(item => item.type === 'stock')[0]
if (!tooltipAttr.show) {
const stockOption = {
...stockPlot.options,
tooltip: {
showContent: false
}
}
newPlots.push({ ...stockPlot, options: stockOption })
return {
...options,
plots: newPlots
}
}
const showFiled = chart.data.fields
const yAxis = cloneDeep(JSON.parse(chart.yaxis))
const customTooltipItems = originalItems => {
const formattedItems = originalItems.map(item => {
const fieldObj = showFiled.find(q => q.dataeaseName === item.name)
const displayName = fieldObj?.chartShowName || fieldObj?.name || item.name
const formattedName = displayName.startsWith('ma') ? displayName.toUpperCase() : displayName
if(!yAxis[0].formatterCfg){
yAxis[0].formatterCfg = {
type: 'value', // auto,value,percent
unit: 1, // 换算单位
suffix: '', // 单位后缀
decimalCount: 3, // 小数位数
thousandSeparator: true// 千分符
}
}
if(yAxis[0].formatterCfg.type === 'auto'){
yAxis[0].formatterCfg.type = 'value'
yAxis[0].formatterCfg.decimalCount = 3
}
const formattedValue = valueFormatter(item.value, yAxis[0].formatterCfg)
return {
...item,
name: formattedName,
value: formattedValue,
color: item.color
}
})
const hasKLine = formattedItems.some(item => !item.name.startsWith('MA'))
const kLines = formattedItems.filter(item => !item.name.startsWith('MA'))
return hasKLine
? [
{ name: '日K', value: '', marker: true, color: kLines[0]?.color },
...kLines,
...formattedItems.filter(item => item.name.startsWith('MA'))
]
: formattedItems
}
const formatTooltipItem = (item) => {
const size = item.name.startsWith('MA') || !item.value ? 10 : 5
const markerMarginRight = item.name.startsWith('MA') || !item.value ? 5 : 9
const markerMarginLeft = item.name.startsWith('MA') || !item.value ? 0 : 2
return `
<li style="display: flex; align-items: center; margin-bottom: 10px;">
<div>
<span
style="
background-color: ${item.color};
width: ${size}px;
height: ${size}px;
border-radius: 50%;
display: inline-block;
margin-right: ${markerMarginRight}px;
margin-left: ${markerMarginLeft}px;
"></span>
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<span style="margin-right: 15px;">${item.name}</span>
<span>${item.name.startsWith('MA') && item.value === '0' ? '-' : item.value}</span>
</div>
</li>
`
}
const generateCustomTooltipContent = (title, items) => {
return `
<div style="padding: 10px 0;">
<div style="margin-bottom: 10px;">${title}</div>
<ul style="list-style: none; padding: 0;">
${items.map(formatTooltipItem).join('')}
</ul>
</div>
`
}
const stockOption = {
...stockPlot.options,
tooltip: {
showMarkers: true,
showCrosshairs: true,
showNil: true,
crosshairs: {
follow: true,
text: (axisType, value, data) => {
if (axisType === 'y') {
return { content: value ? value.toFixed(0) : value }
}
return { content: data[0].title, position: 'end' }
}
},
showContent: true,
customItems: customTooltipItems,
customContent: generateCustomTooltipContent
}
}
newPlots.push({ ...stockPlot, options: stockOption })
return {
...options,
plots: newPlots
}
}
export const configXAxis = (chart, options) => {
const xAxisOptions = getXAxis(chart)
if (!xAxisOptions) {
options.plots.forEach(item => {
if(item.type === 'stock'){
item.options.xAxis = false
}
})
return options
}
const newPlots = []
const linePlotList = options.plots.filter(item => item.type === 'line')
const stockPlot = options.plots.filter(item => item.type === 'stock')[0]
const newStockPlot = {
...stockPlot,
options: {
...stockPlot.options,
xAxis: xAxisOptions
? {
...stockPlot.options['xAxis'],
...xAxisOptions
}
: {
label: false,
line: null
}
}
}
newPlots.push(newStockPlot)
linePlotList.forEach(item => {
newPlots.push(item)
})
return {
...options,
plots: newPlots
}
}
export const configYAxis = (chart, options) => {
const yAxisOptions = getYAxis(chart)
if (!yAxisOptions) {
options.plots.forEach(item => {
if(item.type === 'stock'){
item.options.yAxis = false
}
})
return options
}
const yAxis = JSON.parse(chart.yaxis)
const newPlots = []
const linePlotList = options.plots.filter(item => item.type === 'line')
const stockPlot = options.plots.filter(item => item.type === 'stock')[0]
let label = false
if (yAxisOptions.label) {
label = {
...yAxisOptions.label
}
}
const newStockPlot = {
...stockPlot,
options: {
...stockPlot.options,
yAxis: label
? {
...stockPlot.options['yAxis'],
...yAxisOptions,
label
}
: {
label,
grid: null,
line: null
}
}
}
newPlots.push(newStockPlot)
linePlotList.forEach(item => {
newPlots.push(item)
})
return {
...options,
plots: newPlots
}
}
export const customConfigEmptyDataStrategy = (chart, options) => {
const { data } = options
if (!data?.length) {
return options
}
const strategy = JSON.parse(chart.senior)?.functionCfg?.emptyDataStrategy
if (strategy === 'ignoreData') {
for (let i = data.length - 1; i >= 0; i--) {
const item = data[i]
Object.keys(item).forEach(key => {
if (key.startsWith('C_') && item[key] === null) {
data.splice(i, 1)
}
})
}
}
const updateValues = (strategy, data) => {
data.forEach(obj => {
Object.keys(obj).forEach(key => {
if (key.startsWith('C_') && obj[key] === null) {
obj[key] = strategy === 'breakLine' ? null : 0
}
})
})
}
if (strategy === 'breakLine' || strategy === 'setZero') {
updateValues(strategy, data)
}
return options
}

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@ -1738,7 +1738,74 @@ export const TYPE_CONFIGS = [
]
}
},
{
render: 'antv',
category: 'chart.chart_type_compare',
value: 'stock-line',
title: 'chart.chart_stock_line',
icon: 'stock-line',
properties: [
'color-selector',
'size-selector',
'tooltip-selector-ant-v',
'x-axis-selector-ant-v',
'y-axis-selector-ant-v',
'title-selector-ant-v',
'legend-selector-ant-v'
],
propertyInner: {
'color-selector': [
'value',
'colorPanel',
'customColor',
'alpha'
],
'size-selector': [
'lineWidth',
'lineSymbol',
'lineSymbolSize',
'lineSmooth'
],
'tooltip-selector-ant-v': [
'show',
'textStyle'
],
'x-axis-selector-ant-v': [
'show',
'position',
'splitLine',
'axisForm',
'axisLabel'
],
'y-axis-selector-ant-v': [
'show',
'position',
'name',
'nameTextStyle',
'axisValue',
'splitLine',
'axisForm',
'axisLabel'
],
'title-selector-ant-v': [
'show',
'title',
'fontSize',
'color',
'hPosition',
'isItalic',
'isBolder',
'remarkShow',
'fontFamily',
'letterSpace',
'fontShadow'
],
'legend-selector-ant-v': [
'show',
'textStyle',
]
}
},
{
render: 'antv',
category: 'chart.chart_type_distribute',

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@ -45,7 +45,13 @@ import { baseLiquid } from '@/views/chart/chart/liquid/liquid'
import { uuid } from 'vue-uuid'
import ViewTrackBar from '@/components/canvas/components/editor/ViewTrackBar'
import { adjustPosition, getRemark, hexColorToRGBA } from '@/views/chart/chart/util'
import { baseBarOptionAntV, hBaseBarOptionAntV, baseBidirectionalBarOptionAntV, timeRangeBarOptionAntV } from '@/views/chart/chart/bar/bar_antv'
import {
baseBarOptionAntV,
hBaseBarOptionAntV,
baseBidirectionalBarOptionAntV,
timeRangeBarOptionAntV,
stockLineOptionAntV
} from '@/views/chart/chart/bar/bar_antv'
import { baseAreaOptionAntV, baseLineOptionAntV } from '@/views/chart/chart/line/line_antv'
import { basePieOptionAntV, basePieRoseOptionAntV } from '@/views/chart/chart/pie/pie_antv'
import { baseScatterOptionAntV } from '@/views/chart/chart/scatter/scatter_antv'
@ -298,6 +304,8 @@ export default {
this.myChart = await baseFlowMapOption(this.chartId, chart, this.antVAction)
} else if (chart.type === 'bidirectional-bar') {
this.myChart = baseBidirectionalBarOptionAntV(this.chartId, chart, this.antVAction)
} else if (chart.type === 'stock-line'){
this.myChart = stockLineOptionAntV(this.chartId, chart, this.antVAction)
}
if (this.myChart && !equalsAny(chart.type, 'liquid', 'flow-map') && this.searchCount > 0) {

View File

@ -78,7 +78,7 @@
v-model="functionForm.emptyDataStrategy"
@change="changeFunctionCfg"
>
<el-radio :label="'breakLine'">{{ $t('chart.break_line') }}</el-radio>
<el-radio v-show="showBreakOption" :label="'breakLine'">{{ $t('chart.break_line') }}</el-radio>
<el-radio :label="'setZero'">{{ $t('chart.set_zero') }}</el-radio>
<el-radio
v-show="showIgnoreOption"
@ -114,6 +114,7 @@
<script>
import { DEFAULT_FUNCTION_CFG, COLOR_PANEL } from '../../chart/chart'
import { equalsAny, includesAny } from '@/utils/StringUtils'
import {cloneDeep} from "lodash";
export default {
name: 'FunctionCfg',
@ -134,7 +135,7 @@ export default {
showSlider() {
return this.chart.type !== 'bidirectional-bar' &&
!equalsAny(this.chart.type, 'map') &&
!includesAny(this.chart.type, 'table', 'text')
!includesAny(this.chart.type, 'table', 'text','stock-line')
},
showEmptyStrategy() {
return (this.chart.render === 'antv' &&
@ -148,7 +149,10 @@ export default {
return this.showEmptyStrategy &&
includesAny(this.chart.type, 'table') &&
this.functionForm.emptyDataStrategy !== 'breakLine'
}
},
showBreakOption() {
return !equalsAny(this.chart.type, 'stock-line')
},
},
watch: {
'chart': {
@ -170,10 +174,14 @@ export default {
} else {
senior = JSON.parse(chart.senior)
}
const defaultFunctionCfg = cloneDeep(DEFAULT_FUNCTION_CFG)
if (equalsAny(this.chart.type, 'stock-line')) {
defaultFunctionCfg.emptyDataStrategy = 'setZero'
}
if (senior.functionCfg) {
this.functionForm = { ...DEFAULT_FUNCTION_CFG, ...senior.functionCfg }
this.functionForm = { ...defaultFunctionCfg, ...senior.functionCfg }
} else {
this.functionForm = JSON.parse(JSON.stringify(DEFAULT_FUNCTION_CFG))
this.functionForm = JSON.parse(JSON.stringify(defaultFunctionCfg))
}
this.initFieldCtrl()
}

View File

@ -2194,7 +2194,7 @@ export default {
return equalsAny(this.view.type, 'table-normal', 'table-info', 'table-pivot')
},
showAnalyseCfg() {
if (this.view.type === 'bidirectional-bar' || this.view.type === 'bar-time-range') {
if (this.view.type === 'bidirectional-bar' || this.view.type === 'bar-time-range' || this.view.type === 'stock-line') {
return false
}
return includesAny(this.view.type, 'bar', 'line', 'area', 'gauge', 'liquid') ||

View File

@ -161,6 +161,10 @@ export default {
margin:5px;
}
.el-radio:last-child{
margin-right: 5px;
}
.radio-row{
width: 100%;
display: flex;