feat(ppmt): 新增分地区收入占比与门店数量图表
- 新增分地区收入占比、零售门店数量、机器人商店数量三张图表及对应 CSV 数据 - 渠道收入图矮段标签外置并扇形排布,避免段内标签挤压 - IP 收入占比图改用 standardLegend 统一图例样式 - 折线标注增加白底描边,提升可读性
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@@ -0,0 +1,8 @@
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period,china,apac,americas,europe,total
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2024H1,35.22,7.97,1.82,0.58,45.59
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2024H2,53.65,23.13,6.20,1.81,84.79
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2024FY,88.86,31.10,8.02,2.39,130.37
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2025H1,82.83,28.51,22.65,4.77,138.76
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2025H2,125.69,51.60,45.41,9.74,232.44
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2025FY,208.52,80.11,68.06,14.51,371.20
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2026H1,122.01,25.75,18.92,5.06,171.74
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@@ -0,0 +1,3 @@
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period,china,apac,americas,europe,total
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2024FY,88.86,31.10,8.02,2.39,130.37
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2025FY,208.52,80.11,68.06,14.51,371.20
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@@ -0,0 +1,6 @@
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period,china,apac,americas,europe,total
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2024H1,35.22,7.97,1.82,0.58,45.59
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2024H2,53.65,23.13,6.20,1.81,84.79
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2025H1,82.83,28.51,22.65,4.77,138.76
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2025H2,125.69,51.60,45.41,9.74,232.44
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2026H1,122.01,25.75,18.92,5.06,171.74
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@@ -0,0 +1,13 @@
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period,mainland,hkmtw,apac,americas,europe,overseas,global,global_yoy
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2017FY,32,,,,,,32,
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2018FY,63,,,,,,63,96.9
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2019FY,114,,,,,,114,81.0
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2020FY,187,,,,,,187,64.0
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2021FY,288,,,,,7,295,57.8
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2022FY,329,,,,,43,372,26.1
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2023FY,363,,,,,70,433,16.4
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2024H1,374,25,39,10,9,58,457,
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2024FY,401,30,54,22,14,90,521,20.3
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2025H1,409,34,69,41,18,128,571,24.9
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2025FY,410,35,85,64,36,185,630,20.9
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2026H1,419,36,90,86,45,221,676,18.4
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@@ -0,0 +1,10 @@
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period,mainland,hkmtw,apac,americas,europe,overseas,global,global_yoy
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2017FY,32,,,,,,32,
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2018FY,63,,,,,,63,96.9
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2019FY,114,,,,,,114,81.0
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2020FY,187,,,,,,187,64.0
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2021FY,288,,,,,7,295,57.8
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2022FY,329,,,,,43,372,26.1
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2023FY,363,,,,,70,433,16.4
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2024FY,401,30,54,22,14,90,521,20.3
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2025FY,410,35,85,64,36,185,630,20.9
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@@ -0,0 +1,4 @@
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period,mainland,hkmtw,apac,americas,europe,overseas,global,global_yoy
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2024H1,374,25,39,10,9,58,457,
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2025H1,409,34,69,41,18,128,571,24.9
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2026H1,419,36,90,86,45,221,676,18.4
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@@ -0,0 +1,13 @@
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period,mainland,hkmtw,overseas,global,global_yoy
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2017FY,43,,,43,
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2018FY,260,,,260,504.7
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2019FY,825,,,825,217.3
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2020FY,1351,,,1351,63.8
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2021FY,1861,,9,1870,38.4
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2022FY,2067,,120,2187,17.0
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2023FY,2190,,99,2289,4.7
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2024H1,2189,35,,,
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2024FY,2300,39,133,2472,8.0
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2025H1,2396,41,160,2597,
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2025FY,2350,46,241,2637,6.7
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2026H1,2436,46,345,2827,8.9
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@@ -0,0 +1,10 @@
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period,mainland,hkmtw,overseas,global,global_yoy
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2017FY,43,,,43,
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2018FY,260,,,260,504.7
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2019FY,825,,,825,217.3
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2020FY,1351,,,1351,63.8
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2021FY,1861,,9,1870,38.4
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2022FY,2067,,120,2187,17.0
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2023FY,2190,,99,2289,4.7
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2024FY,2300,39,133,2472,8.0
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2025FY,2350,46,241,2637,6.7
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@@ -0,0 +1,4 @@
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period,mainland,hkmtw,overseas,global,global_yoy
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2024H1,2189,35,,,
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2025H1,2396,41,160,2597,
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2026H1,2436,46,345,2827,8.9
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@@ -25,6 +25,9 @@ import { cashflowCompositionChart } from './ppmt_cashflow_composition.js';
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import { workingCapitalDaysChart } from './ppmt_working_capital_days.js';
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import { workingCapitalDaysChart } from './ppmt_working_capital_days.js';
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import { expenseStructureChart } from './ppmt_expense_structure.js';
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import { expenseStructureChart } from './ppmt_expense_structure.js';
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import { channelRevenueChart } from './ppmt_channel_revenue.js';
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import { channelRevenueChart } from './ppmt_channel_revenue.js';
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import { storesRetailChart } from './ppmt_stores_retail.js';
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import { storesRobotChart } from './ppmt_stores_robot.js';
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import { regionShareChart } from './ppmt_region_share.js';
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/** 图表构建函数注册表。manifest 只引用这里的 key,不直接引用 JS 函数。 */
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/** 图表构建函数注册表。manifest 只引用这里的 key,不直接引用 JS 函数。 */
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export const chartRegistry = {
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export const chartRegistry = {
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@@ -55,6 +58,9 @@ export const chartRegistry = {
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'ppmt-working-capital-days': workingCapitalDaysChart,
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'ppmt-working-capital-days': workingCapitalDaysChart,
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'ppmt-expense-structure': expenseStructureChart,
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'ppmt-expense-structure': expenseStructureChart,
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'ppmt-channel-revenue': channelRevenueChart,
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'ppmt-channel-revenue': channelRevenueChart,
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'ppmt-stores-retail': storesRetailChart,
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'ppmt-stores-robot': storesRobotChart,
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'ppmt-region-share': regionShareChart,
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};
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};
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export function getChartBuilder(key) {
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export function getChartBuilder(key) {
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@@ -6,7 +6,6 @@ import {
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} from '../theme.js';
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} from '../theme.js';
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/** 泡泡玛特渠道收入结构与增速。 */
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/** 泡泡玛特渠道收入结构与增速。 */
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export function channelRevenueChart(rows, { width, height, view = 'all' }) {
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const channels = [
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const channels = [
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{ key: 'retail', name: '零售店', color: CHANNEL_COLORS.retail },
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{ key: 'retail', name: '零售店', color: CHANNEL_COLORS.retail },
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{ key: 'online', name: '线上', color: CHANNEL_COLORS.online },
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{ key: 'online', name: '线上', color: CHANNEL_COLORS.online },
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@@ -14,12 +13,70 @@ export function channelRevenueChart(rows, { width, height, view = 'all' }) {
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{ key: 'wholesale', name: '批发', color: CHANNEL_COLORS.wholesale },
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{ key: 'wholesale', name: '批发', color: CHANNEL_COLORS.wholesale },
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];
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];
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// 段内标签文字色:浅色底(批发金)用深字,其余深色底用白字
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const INSIDE_LABEL_COLORS = {
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retail: '#fff',
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online: '#fff',
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robot_store: '#fff',
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wholesale: PALETTE.ink,
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};
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const num = (value) => (Number.isFinite(value) ? value : null);
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// 轴上限取整齐刻度,柱高比例确定后,段标签的段内/外置可按像素判断
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const NICE_MAX = [20, 25, 50, 60, 80, 100, 120, 150, 200, 250, 300, 400, 500, 600, 800, 1000];
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const MIN_INSIDE_PX = 13; // 低于约 13px 的段放不下 10px 段内标签
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export function channelRevenueChart(rows, { width, height, view = 'all' }) {
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const totalMax = Math.max(...rows.map((row) => num(row.total_revenue) || 0));
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const axisMax = NICE_MAX.find((max) => max >= totalMax * 1.02)
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?? Math.ceil((totalMax * 1.2) / 100) * 100;
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// 绘图区像素高:画布高 − grid top 145 − grid bottom 90
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const pxPerUnit = (height - LAYOUT.gridTop - 90) / axisMax;
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// 每根柱里放不下的矮段:标签外置到柱体右侧。同一柱内多个矮段标签
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// 自下而上保持 12px 间距;整根柱都是矮段时,纵向扇形以柱身中部为中心,
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// 避免标签整体飘离柱顶。返回 { 渠道序号: offset dy }(dy 为像素,正方向向下)。
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const fanOutsideLabels = (row) => {
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const values = channels.map((item) => num(row[item.key]));
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const centers = [];
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let cum = 0;
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values.forEach((value) => {
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centers.push((cum + value / 2) * pxPerUnit);
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cum += value;
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});
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const barTopPx = cum * pxPerUnit;
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const tinyIdx = channels
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.map((_, i) => i)
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.filter((i) => values[i] !== null && values[i] * pxPerUnit < MIN_INSIDE_PX);
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if (tinyIdx.length === 0) return {};
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const ys = tinyIdx.map((i) => centers[i]);
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for (let k = 1; k < ys.length; k += 1) {
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ys[k] = Math.max(ys[k], ys[k - 1] + 12);
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}
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if (tinyIdx.length === channels.length) {
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const shift = barTopPx / 2 - (ys[0] + ys[ys.length - 1]) / 2;
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for (let k = 0; k < ys.length; k += 1) ys[k] += shift;
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if (ys[0] < 2) {
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const lift = 2 - ys[0];
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for (let k = 0; k < ys.length; k += 1) ys[k] += lift;
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}
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}
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const offsets = {};
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tinyIdx.forEach((i, k) => {
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offsets[i] = centers[i] - ys[k];
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});
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return offsets;
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};
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const rowOffsets = rows.map(fanOutsideLabels);
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return {
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return {
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backgroundColor: '#fff',
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backgroundColor: '#fff',
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title: {
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title: {
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...titleStyle,
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...titleStyle,
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text: `泡泡玛特渠道收入结构与增速(${financialViewLabel(view)})`,
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text: `泡泡玛特渠道收入结构与增速(${financialViewLabel(view)})`,
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subtext: ['渠道收入为堆叠柱;折线为营业收入同比增速', financialViewDisclosure(view)].filter(Boolean).join('\n'),
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subtext: ['渠道收入为堆叠柱,柱内及柱侧标注各渠道数值;折线为营业收入同比增速', financialViewDisclosure(view)].filter(Boolean).join('\n'),
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},
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},
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legend: {
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legend: {
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...legendStyle,
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...legendStyle,
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@@ -43,6 +100,8 @@ export function channelRevenueChart(rows, { width, height, view = 'all' }) {
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nameGap: 56,
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nameGap: 56,
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nameTextStyle: { color: PALETTE.grey, fontSize: 13, fontFamily: FONT },
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nameTextStyle: { color: PALETTE.grey, fontSize: 13, fontFamily: FONT },
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min: 0,
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min: 0,
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max: axisMax,
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interval: axisMax % 4 === 0 ? axisMax / 4 : axisMax / 5,
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},
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},
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{
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{
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...axisCommon,
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...axisCommon,
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@@ -60,12 +119,37 @@ export function channelRevenueChart(rows, { width, height, view = 'all' }) {
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},
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},
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],
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],
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series: [
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series: [
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...channels.map((item) => ({
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...channels.map((item, ci) => ({
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name: item.name,
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name: item.name,
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type: 'bar',
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type: 'bar',
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stack: 'channel-revenue',
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stack: 'channel-revenue',
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data: col(rows, item.key),
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data: rows.map((row, ri) => {
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const value = num(row[item.key]);
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if (value === null) return null;
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const inside = value * pxPerUnit >= MIN_INSIDE_PX;
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return {
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value,
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label: inside
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? { position: 'inside', color: INSIDE_LABEL_COLORS[item.key] }
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: {
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position: 'right',
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color: PALETTE.ink,
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distance: 3,
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offset: [0, rowOffsets[ri][ci] || 0],
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textBorderColor: '#fff',
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textBorderWidth: 2,
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},
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};
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}),
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itemStyle: { color: item.color },
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itemStyle: { color: item.color },
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label: {
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show: true,
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fontSize: 10,
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fontWeight: 500,
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fontFamily: FONT,
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formatter: (p) => Number(p.value).toFixed(1),
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overflow: 'none',
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},
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emphasis: { focus: 'series' },
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emphasis: { focus: 'series' },
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})),
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})),
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{
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{
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@@ -1,7 +1,7 @@
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import {
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import {
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PALETTE, FONT, axisCommon, categoryAxis, titleStyle, LEGEND_ITEM_WIDTH,
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PALETTE, FONT, axisCommon, categoryAxis, titleStyle,
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financialViewDisclosure, financialViewLabel, shortStandalonePeriod,
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financialViewDisclosure, financialViewLabel, shortStandalonePeriod,
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barSeries, footnote, watermarks, LAYOUT,
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standardLegend, barSeries, footnote, watermarks, LAYOUT,
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} from '../theme.js';
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} from '../theme.js';
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/**
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/**
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@@ -36,9 +36,6 @@ const COLORS = {
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'外采及其他': '#8C8C8C',
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'外采及其他': '#8C8C8C',
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};
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};
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const LEGEND_WIDTH = 160;
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const LEGEND_RIGHT = 20;
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export function ppmtIpShareHistoryChart(rows, { width, height, view = 'all' }) {
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export function ppmtIpShareHistoryChart(rows, { width, height, view = 'all' }) {
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const periods = Object.keys(rows[0]).filter((k) => k !== 'ip');
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const periods = Object.keys(rows[0]).filter((k) => k !== 'ip');
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const names = rows.map((r) => r.ip);
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const names = rows.map((r) => r.ip);
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@@ -53,17 +50,8 @@ export function ppmtIpShareHistoryChart(rows, { width, height, view = 'all' }) {
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text: `泡泡玛特各IP收入占比(${financialViewLabel(view)})`,
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text: `泡泡玛特各IP收入占比(${financialViewLabel(view)})`,
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subtext: ['占当期IP收入合计的比重;H2为下半年单期,非全年累计', financialViewDisclosure(view)].filter(Boolean).join('\n'),
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subtext: ['占当期IP收入合计的比重;H2为下半年单期,非全年累计', financialViewDisclosure(view)].filter(Boolean).join('\n'),
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},
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},
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legend: {
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// 11 个系列较多:紧凑间距靠 ECharts 自动换行成多行
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orient: 'vertical',
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legend: standardLegend(names, { itemGap: 12, itemWidth: 14, itemHeight: 14 }),
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right: LEGEND_RIGHT,
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width: LEGEND_WIDTH,
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top: 'middle',
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itemGap: 12,
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itemWidth: LEGEND_ITEM_WIDTH,
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itemHeight: 14,
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data: names,
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textStyle: { color: PALETTE.ink, fontSize: 12, fontFamily: FONT },
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},
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tooltip: {
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tooltip: {
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trigger: 'axis',
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trigger: 'axis',
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axisPointer: { type: 'shadow' },
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axisPointer: { type: 'shadow' },
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@@ -80,12 +68,7 @@ export function ppmtIpShareHistoryChart(rows, { width, height, view = 'all' }) {
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.join('<br/>');
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.join('<br/>');
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},
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},
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},
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},
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grid: {
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grid: { left: 78, right: 82, top: LAYOUT.gridTop, bottom: 70 },
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left: 78,
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|
||||||
right: LEGEND_RIGHT + LEGEND_WIDTH + 20,
|
|
||||||
top: LAYOUT.gridTop,
|
|
||||||
bottom: 70,
|
|
||||||
},
|
|
||||||
xAxis: {
|
xAxis: {
|
||||||
...categoryAxis,
|
...categoryAxis,
|
||||||
data: periods,
|
data: periods,
|
||||||
@@ -114,7 +97,7 @@ export function ppmtIpShareHistoryChart(rows, { width, height, view = 'all' }) {
|
|||||||
fontFamily: FONT,
|
fontFamily: FONT,
|
||||||
fontWeight: 500,
|
fontWeight: 500,
|
||||||
// 低于 4% 的段塞不进字,留空靠 tooltip 读数
|
// 低于 4% 的段塞不进字,留空靠 tooltip 读数
|
||||||
formatter: (p) => (p.value >= 4 ? p.value.toFixed(1) : ''),
|
formatter: (p) => (p.value >= 4 ? `${p.value.toFixed(1)}%` : ''),
|
||||||
},
|
},
|
||||||
emphasis: { focus: 'series' },
|
emphasis: { focus: 'series' },
|
||||||
})),
|
})),
|
||||||
|
|||||||
@@ -0,0 +1,111 @@
|
|||||||
|
import {
|
||||||
|
PALETTE, FONT, axisCommon, categoryAxis, titleStyle, standardLegend,
|
||||||
|
financialViewDisclosure, financialViewLabel, standalonePeriodAxis,
|
||||||
|
barSeries, footnote, watermarks, LAYOUT,
|
||||||
|
} from '../theme.js';
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 泡泡玛特分地区营收占比(2024H1 起)。
|
||||||
|
* 归一化堆叠柱状图:每根柱为当期营收合计 = 100%,看地区结构变化。
|
||||||
|
*
|
||||||
|
* 口径:中国含港澳台,海外 = 亚太 + 美洲 + 欧洲及其他(2024 年起的新披露口径)。
|
||||||
|
* H2 为单半年(当年披露全年 − 上半年还原),非全年累计,轴用 standalonePeriodAxis。
|
||||||
|
* 2024H1 的新口径分地区收入未直接披露,按 2025 年中报披露的分地区同比还原
|
||||||
|
* (2025H1 值 ÷ (1+同比)),还原后加总与当期总营收误差 < 0.1 亿。
|
||||||
|
*
|
||||||
|
* 地区配色与同 Tab 门店数量图(ppmt_stores_retail.js)保持一致。
|
||||||
|
*/
|
||||||
|
const REGIONS = [
|
||||||
|
{ key: 'china', name: '中国', color: '#3F7FBE' },
|
||||||
|
{ key: 'apac', name: '亚太', color: '#36A28F' },
|
||||||
|
{ key: 'americas', name: '美洲', color: '#E4A349' },
|
||||||
|
{ key: 'europe', name: '欧洲及其他', color: PALETTE.brown },
|
||||||
|
];
|
||||||
|
|
||||||
|
// 浅色底(美洲金)用深字,其余深色底用白字
|
||||||
|
const INSIDE_LABEL_COLORS = {
|
||||||
|
china: '#fff',
|
||||||
|
apac: '#fff',
|
||||||
|
americas: PALETTE.ink,
|
||||||
|
europe: '#fff',
|
||||||
|
};
|
||||||
|
|
||||||
|
// 绘图区像素高:画布高 − grid top 145 − grid bottom 100;轴固定 0-100%。
|
||||||
|
// 低于约 13px 的段放不下 11px 段内标签:是柱顶段的标到柱顶上方,
|
||||||
|
// 上方还有其它段的标到柱体右侧。
|
||||||
|
const MIN_INSIDE_PX = 13;
|
||||||
|
|
||||||
|
function segmentLabel(row, item, ri, totals, keyIndex, pxPerPct) {
|
||||||
|
const pct = ((row[item.key] || 0) / totals[ri]) * 100;
|
||||||
|
if (pct * pxPerPct >= MIN_INSIDE_PX) {
|
||||||
|
return { value: pct, label: { position: 'inside', color: INSIDE_LABEL_COLORS[item.key] } };
|
||||||
|
}
|
||||||
|
const hasSegmentAbove = REGIONS.slice(keyIndex + 1).some((r) => (row[r.key] || 0) > 0);
|
||||||
|
return {
|
||||||
|
value: pct,
|
||||||
|
label: hasSegmentAbove
|
||||||
|
? { position: 'right', color: PALETTE.ink, distance: 4, textBorderColor: '#fff', textBorderWidth: 2 }
|
||||||
|
: { position: 'top', color: PALETTE.ink, distance: 4 },
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
export function regionShareChart(rows, { width, height, view = 'all' }) {
|
||||||
|
const periods = rows.map((row) => row.period);
|
||||||
|
const totals = rows.map((row) => REGIONS.reduce((s, item) => s + (row[item.key] || 0), 0));
|
||||||
|
const pxPerPct = (height - LAYOUT.gridTop - 100) / 100;
|
||||||
|
|
||||||
|
return {
|
||||||
|
backgroundColor: '#fff',
|
||||||
|
title: {
|
||||||
|
...titleStyle,
|
||||||
|
text: `泡泡玛特分地区营收占比(${financialViewLabel(view)})`,
|
||||||
|
subtext: ['归一化堆叠,每根柱为当期营收合计=100%;H2为下半年单期', financialViewDisclosure(view)].filter(Boolean).join('\n'),
|
||||||
|
},
|
||||||
|
legend: standardLegend(REGIONS.map((item) => item.name)),
|
||||||
|
tooltip: {
|
||||||
|
trigger: 'axis',
|
||||||
|
axisPointer: { type: 'shadow' },
|
||||||
|
textStyle: { fontFamily: FONT },
|
||||||
|
formatter: (ps) => {
|
||||||
|
const i = periods.indexOf(ps[0].axisValue);
|
||||||
|
const head = `<b>${ps[0].axisValue}</b> 合计 ${totals[i].toFixed(1)} 亿元<br/>`;
|
||||||
|
return head + ps
|
||||||
|
.slice()
|
||||||
|
.reverse()
|
||||||
|
.map((p) => `${p.marker}${p.seriesName}: ${p.value.toFixed(1)}%`
|
||||||
|
+ `(${((p.value / 100) * totals[i]).toFixed(1)} 亿元)`)
|
||||||
|
.join('<br/>');
|
||||||
|
},
|
||||||
|
},
|
||||||
|
grid: { left: 78, right: 82, top: LAYOUT.gridTop, bottom: 100 },
|
||||||
|
xAxis: { ...standalonePeriodAxis, data: periods },
|
||||||
|
yAxis: {
|
||||||
|
...axisCommon,
|
||||||
|
type: 'value',
|
||||||
|
min: 0,
|
||||||
|
max: 100,
|
||||||
|
interval: 20,
|
||||||
|
axisLabel: { ...axisCommon.axisLabel, formatter: '{value}%' },
|
||||||
|
},
|
||||||
|
series: REGIONS.map((item, keyIndex) => barSeries({
|
||||||
|
name: item.name,
|
||||||
|
data: rows.map((row, ri) => segmentLabel(row, item, ri, totals, keyIndex, pxPerPct)),
|
||||||
|
color: item.color,
|
||||||
|
barWidth: 40,
|
||||||
|
stack: 'region-share',
|
||||||
|
label: {
|
||||||
|
show: true,
|
||||||
|
position: 'inside',
|
||||||
|
fontSize: 11,
|
||||||
|
fontFamily: FONT,
|
||||||
|
fontWeight: 500,
|
||||||
|
formatter: (p) => `${p.value.toFixed(1)}%`,
|
||||||
|
},
|
||||||
|
emphasis: { focus: 'series' },
|
||||||
|
})),
|
||||||
|
graphic: [
|
||||||
|
...watermarks(width, height),
|
||||||
|
footnote('数据来源:泡泡玛特财报;中国含港澳台\n2024H1为按2025年中报披露的分地区同比还原;H2为单半年 | @思考的Joey'),
|
||||||
|
],
|
||||||
|
};
|
||||||
|
}
|
||||||
@@ -0,0 +1,134 @@
|
|||||||
|
import { col } from '../csv.js';
|
||||||
|
import {
|
||||||
|
PALETTE, FONT, axisCommon, standalonePeriodAxis, titleStyle, standardLegend,
|
||||||
|
financialViewLabel, lineSeries, footnote, watermarks, LAYOUT,
|
||||||
|
} from '../theme.js';
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 泡泡玛特分地区零售门店数量与同比增速。
|
||||||
|
* 堆叠柱为各期末门店数,折线为全球合计数量的同比。
|
||||||
|
* 口径:2023年及以前"海外合计"含港澳台;2024年起港澳台单列并计入中国,
|
||||||
|
* 海外合计 = 亚太 + 美洲 + 欧洲。两段口径不可直接跨 2023/2024 对比海外。
|
||||||
|
*/
|
||||||
|
|
||||||
|
// 门店数是计数而非金额,保留整数(CLAUDE.md 一位小数规则针对金额/比率)。
|
||||||
|
const SEGMENT_COLORS = {
|
||||||
|
mainland: '#3F7FBE',
|
||||||
|
hkmtw: '#AECBE8',
|
||||||
|
apac: '#36A28F',
|
||||||
|
americas: '#E4A349',
|
||||||
|
europe: PALETTE.brown,
|
||||||
|
overseas: '#C2726B',
|
||||||
|
};
|
||||||
|
|
||||||
|
// 段内标签文字色:浅色底(港澳台、美洲)用深字,深色底用白字
|
||||||
|
const INSIDE_LABEL_COLORS = {
|
||||||
|
mainland: '#fff',
|
||||||
|
hkmtw: PALETTE.ink,
|
||||||
|
apac: '#fff',
|
||||||
|
americas: PALETTE.ink,
|
||||||
|
europe: '#fff',
|
||||||
|
overseas: '#fff',
|
||||||
|
};
|
||||||
|
|
||||||
|
const regions = [
|
||||||
|
{ key: 'mainland', name: '中国内地' },
|
||||||
|
{ key: 'hkmtw', name: '港澳台' },
|
||||||
|
{ key: 'apac', name: '亚太' },
|
||||||
|
{ key: 'americas', name: '美洲' },
|
||||||
|
{ key: 'europe', name: '欧洲' },
|
||||||
|
{ key: 'overseas', name: '海外合计(含港澳台)' },
|
||||||
|
];
|
||||||
|
|
||||||
|
const num = (value) => (Number.isFinite(value) ? value : null);
|
||||||
|
|
||||||
|
// 2024 起披露口径变为港澳台单列 + 亚太/美洲/欧洲分列;此前只有含港澳台的海外合计。
|
||||||
|
// 同一根柱内两种披露结构互斥出现,堆叠总和始终等于全球合计。
|
||||||
|
function stackValue(row, key) {
|
||||||
|
const split = Number.isFinite(row.apac);
|
||||||
|
if (key === 'overseas') return split ? null : num(row.overseas);
|
||||||
|
if (!split && key !== 'mainland') return null;
|
||||||
|
return num(row[key]);
|
||||||
|
}
|
||||||
|
|
||||||
|
export function storesRetailChart(rows, { width, height, view = 'all' }) {
|
||||||
|
return {
|
||||||
|
backgroundColor: '#fff',
|
||||||
|
title: {
|
||||||
|
...titleStyle,
|
||||||
|
text: `泡泡玛特分地区零售门店数量与同比增速(${financialViewLabel(view)})`,
|
||||||
|
subtext: '柱状为各期末零售门店数(堆叠);折线为全球合计门店数量同比',
|
||||||
|
},
|
||||||
|
legend: standardLegend([...regions.map((item) => item.name), '全球合计同比']),
|
||||||
|
grid: { left: 78, right: 82, top: LAYOUT.gridTop, bottom: 100 },
|
||||||
|
tooltip: {
|
||||||
|
trigger: 'axis',
|
||||||
|
axisPointer: { type: 'shadow' },
|
||||||
|
textStyle: { fontFamily: FONT },
|
||||||
|
},
|
||||||
|
xAxis: { ...standalonePeriodAxis, data: col(rows, 'period') },
|
||||||
|
yAxis: [
|
||||||
|
{
|
||||||
|
...axisCommon,
|
||||||
|
type: 'value',
|
||||||
|
name: '零售门店数量(家)',
|
||||||
|
nameLocation: 'middle',
|
||||||
|
nameGap: 52,
|
||||||
|
nameTextStyle: { color: PALETTE.grey, fontSize: 13, fontFamily: FONT },
|
||||||
|
min: 0,
|
||||||
|
max: 700,
|
||||||
|
interval: 100,
|
||||||
|
},
|
||||||
|
{
|
||||||
|
...axisCommon,
|
||||||
|
type: 'value',
|
||||||
|
name: '全球合计同比(%)',
|
||||||
|
nameLocation: 'middle',
|
||||||
|
nameGap: 60,
|
||||||
|
nameRotate: -90,
|
||||||
|
nameTextStyle: { color: PALETTE.grey, fontSize: 13, fontFamily: FONT },
|
||||||
|
min: 0,
|
||||||
|
max: 100,
|
||||||
|
interval: 20,
|
||||||
|
axisLabel: { ...axisCommon.axisLabel, formatter: '{value}%' },
|
||||||
|
splitLine: { show: false },
|
||||||
|
},
|
||||||
|
],
|
||||||
|
series: [
|
||||||
|
...regions.map((item) => ({
|
||||||
|
name: item.name,
|
||||||
|
type: 'bar',
|
||||||
|
stack: 'stores-retail',
|
||||||
|
data: rows.map((row) => stackValue(row, item.key)),
|
||||||
|
itemStyle: { color: SEGMENT_COLORS[item.key] },
|
||||||
|
// 每段标注门店数:浅色段用深字、深色段用白字,保证段内可读
|
||||||
|
label: {
|
||||||
|
show: true,
|
||||||
|
position: 'inside',
|
||||||
|
fontSize: 10,
|
||||||
|
fontWeight: 500,
|
||||||
|
fontFamily: FONT,
|
||||||
|
color: INSIDE_LABEL_COLORS[item.key],
|
||||||
|
overflow: 'none',
|
||||||
|
},
|
||||||
|
// 相邻矮段(如 2024H1 美洲/欧洲)标签贴得近时沿 y 向微移避让
|
||||||
|
labelLayout: { moveOverlap: 'shiftY' },
|
||||||
|
emphasis: { focus: 'series' },
|
||||||
|
})),
|
||||||
|
{
|
||||||
|
...lineSeries({
|
||||||
|
name: '全球合计同比',
|
||||||
|
data: col(rows, 'global_yoy'),
|
||||||
|
color: '#8256B2',
|
||||||
|
formatter: (p) => `${p.value.toFixed(1)}%`,
|
||||||
|
}),
|
||||||
|
yAxisIndex: 1,
|
||||||
|
z: 10,
|
||||||
|
},
|
||||||
|
],
|
||||||
|
graphic: [
|
||||||
|
...watermarks(width, height),
|
||||||
|
footnote('数据来源:泡泡玛特历年公告;门店数为各期末时点数\n2023年及以前海外合计含港澳台;2024年起港澳台单列,海外=亚太+美洲+欧洲 | @思考的Joey'),
|
||||||
|
],
|
||||||
|
};
|
||||||
|
}
|
||||||
@@ -0,0 +1,144 @@
|
|||||||
|
import { col } from '../csv.js';
|
||||||
|
import {
|
||||||
|
CHANNEL_COLORS, PALETTE, FONT, axisCommon, standalonePeriodAxis, titleStyle,
|
||||||
|
standardLegend, financialViewLabel, lineSeries, footnote, watermarks, LAYOUT,
|
||||||
|
} from '../theme.js';
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 泡泡玛特分地区机器人商店数量与同比增速。
|
||||||
|
* 堆叠柱为各期末机器人数,折线为全球合计数量的同比。
|
||||||
|
* 口径:2023年及以前"海外合计"含港澳台;2024年起港澳台单列并计入中国。
|
||||||
|
* 机器人商店仅披露内地/港澳台/海外三层,无亚太/美洲/欧洲分列。
|
||||||
|
*/
|
||||||
|
|
||||||
|
// 门店数是计数而非金额,保留整数。中国内地沿用渠道语义色(机器人商店=绿)。
|
||||||
|
const SEGMENT_COLORS = {
|
||||||
|
mainland: CHANNEL_COLORS.robotStore,
|
||||||
|
hkmtw: '#AECBE8',
|
||||||
|
overseas: '#C2726B',
|
||||||
|
};
|
||||||
|
|
||||||
|
const regions = [
|
||||||
|
{ key: 'mainland', name: '中国内地' },
|
||||||
|
{ key: 'hkmtw', name: '港澳台' },
|
||||||
|
{ key: 'overseas', name: '海外合计(含港澳台)' },
|
||||||
|
];
|
||||||
|
|
||||||
|
// 段内标签文字色:浅色底(港澳台)用深字,深色底(内地绿、海外玫红)用白字
|
||||||
|
const INSIDE_LABEL_COLORS = {
|
||||||
|
mainland: '#fff',
|
||||||
|
hkmtw: PALETTE.ink,
|
||||||
|
overseas: '#fff',
|
||||||
|
};
|
||||||
|
|
||||||
|
const num = (value) => (Number.isFinite(value) ? value : null);
|
||||||
|
|
||||||
|
// 绘图区高约 435px(grid top 145 / bottom 100,画布 680),轴上限 3000。
|
||||||
|
// 低于约 13px 的段放不下段内 10px 标签:柱顶段标到柱顶上方,
|
||||||
|
// 上方还有其它段的标到柱体右侧,避免与上段段内标签互相挤压。
|
||||||
|
const PX_PER_UNIT = 435 / 3000;
|
||||||
|
const MIN_INSIDE_PX = 13;
|
||||||
|
|
||||||
|
function segmentData(row, key) {
|
||||||
|
const value = num(row[key]);
|
||||||
|
if (value === null) return null;
|
||||||
|
if (value * PX_PER_UNIT >= MIN_INSIDE_PX) {
|
||||||
|
return { value, label: { position: 'inside', color: INSIDE_LABEL_COLORS[key] } };
|
||||||
|
}
|
||||||
|
const keyIndex = regions.findIndex((item) => item.key === key);
|
||||||
|
const hasSegmentAbove = regions
|
||||||
|
.slice(keyIndex + 1)
|
||||||
|
.some((item) => num(row[item.key]) !== null);
|
||||||
|
return {
|
||||||
|
value,
|
||||||
|
label: hasSegmentAbove
|
||||||
|
? { position: 'right', color: PALETTE.ink, distance: 4 }
|
||||||
|
: { position: 'top', color: PALETTE.ink },
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
export function storesRobotChart(rows, { width, height, view = 'all' }) {
|
||||||
|
return {
|
||||||
|
backgroundColor: '#fff',
|
||||||
|
title: {
|
||||||
|
...titleStyle,
|
||||||
|
text: `泡泡玛特分地区机器人商店数量与同比增速(${financialViewLabel(view)})`,
|
||||||
|
subtext: '柱状为各期末机器人商店数(堆叠);折线为全球合计数量同比',
|
||||||
|
},
|
||||||
|
legend: standardLegend([...regions.map((item) => item.name), '全球合计同比']),
|
||||||
|
grid: { left: 78, right: 82, top: LAYOUT.gridTop, bottom: 100 },
|
||||||
|
tooltip: {
|
||||||
|
trigger: 'axis',
|
||||||
|
axisPointer: { type: 'shadow' },
|
||||||
|
textStyle: { fontFamily: FONT },
|
||||||
|
},
|
||||||
|
xAxis: { ...standalonePeriodAxis, data: col(rows, 'period') },
|
||||||
|
yAxis: [
|
||||||
|
{
|
||||||
|
...axisCommon,
|
||||||
|
type: 'value',
|
||||||
|
name: '机器人商店数量(台)',
|
||||||
|
nameLocation: 'middle',
|
||||||
|
nameGap: 52,
|
||||||
|
nameTextStyle: { color: PALETTE.grey, fontSize: 13, fontFamily: FONT },
|
||||||
|
min: 0,
|
||||||
|
max: 3000,
|
||||||
|
interval: 500,
|
||||||
|
},
|
||||||
|
{
|
||||||
|
...axisCommon,
|
||||||
|
type: 'value',
|
||||||
|
name: '全球合计同比(%)',
|
||||||
|
nameLocation: 'middle',
|
||||||
|
nameGap: 60,
|
||||||
|
nameRotate: -90,
|
||||||
|
nameTextStyle: { color: PALETTE.grey, fontSize: 13, fontFamily: FONT },
|
||||||
|
min: 0,
|
||||||
|
max: 600,
|
||||||
|
interval: 100,
|
||||||
|
axisLabel: { ...axisCommon.axisLabel, formatter: '{value}%' },
|
||||||
|
splitLine: { show: false },
|
||||||
|
},
|
||||||
|
],
|
||||||
|
series: [
|
||||||
|
...regions.map((item) => ({
|
||||||
|
name: item.name,
|
||||||
|
type: 'bar',
|
||||||
|
stack: 'stores-robot',
|
||||||
|
data: rows.map((row) => segmentData(row, item.key)),
|
||||||
|
itemStyle: { color: SEGMENT_COLORS[item.key] },
|
||||||
|
label: {
|
||||||
|
show: true,
|
||||||
|
fontSize: 10,
|
||||||
|
fontWeight: 500,
|
||||||
|
fontFamily: FONT,
|
||||||
|
overflow: 'none',
|
||||||
|
},
|
||||||
|
// 相邻矮段标签贴近时沿 y 向微移避让
|
||||||
|
labelLayout: { moveOverlap: 'shiftY' },
|
||||||
|
emphasis: { focus: 'series' },
|
||||||
|
})),
|
||||||
|
{
|
||||||
|
...lineSeries({
|
||||||
|
name: '全球合计同比',
|
||||||
|
data: col(rows, 'global_yoy'),
|
||||||
|
color: '#8256B2',
|
||||||
|
formatter: (p) => `${p.value.toFixed(1)}%`,
|
||||||
|
}),
|
||||||
|
yAxisIndex: 1,
|
||||||
|
z: 10,
|
||||||
|
},
|
||||||
|
],
|
||||||
|
graphic: [
|
||||||
|
...watermarks(width, height),
|
||||||
|
footnote(
|
||||||
|
[
|
||||||
|
'数据来源:泡泡玛特历年公告;门店数为各期末时点数',
|
||||||
|
view === 'annual'
|
||||||
|
? '海外合计2023年及以前含港澳台、其后不含 | @思考的Joey'
|
||||||
|
: '海外合计2023年及以前含港澳台、其后不含;2024H1海外数量未披露 | @思考的Joey',
|
||||||
|
].join('\n'),
|
||||||
|
),
|
||||||
|
],
|
||||||
|
};
|
||||||
|
}
|
||||||
+3
-1
@@ -176,7 +176,7 @@ export const legendStyle = {
|
|||||||
},
|
},
|
||||||
};
|
};
|
||||||
|
|
||||||
/** 折线标注:带白底描边,避免压在网格线上看不清 */
|
/** 折线标注:白底描边,避免标签被折线自身或柱体穿过时看不清 */
|
||||||
export function labelStyle(color, position = 'top') {
|
export function labelStyle(color, position = 'top') {
|
||||||
return {
|
return {
|
||||||
show: true,
|
show: true,
|
||||||
@@ -186,6 +186,8 @@ export function labelStyle(color, position = 'top') {
|
|||||||
fontFamily: FONT,
|
fontFamily: FONT,
|
||||||
fontWeight: 500,
|
fontWeight: 500,
|
||||||
distance: 8,
|
distance: 8,
|
||||||
|
textBorderColor: '#fff',
|
||||||
|
textBorderWidth: 3,
|
||||||
};
|
};
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|||||||
+5
-2
@@ -25,7 +25,10 @@
|
|||||||
"ppmt-cashflow-composition": { "key": "ppmt-cashflow-composition", "title": "三大现金流与现金净增加", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_cashflow_composition.csv", "annual": "data/ppmt/ppmt_cashflow_composition_annual.csv", "halfyear": "data/ppmt/ppmt_cashflow_composition_halfyear.csv" }, "height": 700, "filename": "泡泡玛特三大现金流与现金净增加" },
|
"ppmt-cashflow-composition": { "key": "ppmt-cashflow-composition", "title": "三大现金流与现金净增加", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_cashflow_composition.csv", "annual": "data/ppmt/ppmt_cashflow_composition_annual.csv", "halfyear": "data/ppmt/ppmt_cashflow_composition_halfyear.csv" }, "height": 700, "filename": "泡泡玛特三大现金流与现金净增加" },
|
||||||
"ppmt-working-capital-days": { "key": "ppmt-working-capital-days", "title": "营运资本效率", "csv": "data/ppmt/ppmt_working_capital_days.csv", "height": 700, "filename": "泡泡玛特营运资本效率" },
|
"ppmt-working-capital-days": { "key": "ppmt-working-capital-days", "title": "营运资本效率", "csv": "data/ppmt/ppmt_working_capital_days.csv", "height": 700, "filename": "泡泡玛特营运资本效率" },
|
||||||
"ppmt-expense-structure": { "key": "ppmt-expense-structure", "title": "费用结构与费用率", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_expense_structure.csv", "annual": "data/ppmt/ppmt_expense_structure_annual.csv", "halfyear": "data/ppmt/ppmt_expense_structure_halfyear.csv" }, "height": 700, "filename": "泡泡玛特费用结构与费用率" },
|
"ppmt-expense-structure": { "key": "ppmt-expense-structure", "title": "费用结构与费用率", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_expense_structure.csv", "annual": "data/ppmt/ppmt_expense_structure_annual.csv", "halfyear": "data/ppmt/ppmt_expense_structure_halfyear.csv" }, "height": 700, "filename": "泡泡玛特费用结构与费用率" },
|
||||||
"ppmt-channel-revenue": { "key": "ppmt-channel-revenue", "title": "渠道收入结构与增速", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_channel_revenue.csv", "annual": "data/ppmt/ppmt_channel_revenue_annual.csv", "halfyear": "data/ppmt/ppmt_channel_revenue_halfyear.csv" }, "height": 720, "filename": "泡泡玛特渠道收入结构与增速" }
|
"ppmt-channel-revenue": { "key": "ppmt-channel-revenue", "title": "渠道收入结构与增速", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_channel_revenue.csv", "annual": "data/ppmt/ppmt_channel_revenue_annual.csv", "halfyear": "data/ppmt/ppmt_channel_revenue_halfyear.csv" }, "height": 720, "filename": "泡泡玛特渠道收入结构与增速" },
|
||||||
|
"ppmt-stores-retail": { "key": "ppmt-stores-retail", "title": "分地区零售门店数量与同比增速", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_stores_retail.csv", "annual": "data/ppmt/ppmt_stores_retail_annual.csv", "halfyear": "data/ppmt/ppmt_stores_retail_halfyear.csv" }, "height": 680, "filename": "泡泡玛特分地区零售门店数量与同比增速" },
|
||||||
|
"ppmt-stores-robot": { "key": "ppmt-stores-robot", "title": "分地区机器人商店数量与同比增速", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_stores_robot.csv", "annual": "data/ppmt/ppmt_stores_robot_annual.csv", "halfyear": "data/ppmt/ppmt_stores_robot_halfyear.csv" }, "height": 680, "filename": "泡泡玛特分地区机器人商店数量与同比增速" },
|
||||||
|
"ppmt-region-share": { "key": "ppmt-region-share", "title": "分地区营收占比", "defaultView": "all", "views": { "all": "data/ppmt/ppmt_region_share.csv", "annual": "data/ppmt/ppmt_region_share_annual.csv", "halfyear": "data/ppmt/ppmt_region_share_halfyear.csv" }, "height": 680, "filename": "泡泡玛特分地区营收占比" }
|
||||||
},
|
},
|
||||||
"tabs": [
|
"tabs": [
|
||||||
{ "id": "overview", "name": "概览", "chartRefs": ["ppmt-growth", "ppmt-profit", "ppmt-ip-share", "ppmt-region-channel"] },
|
{ "id": "overview", "name": "概览", "chartRefs": ["ppmt-growth", "ppmt-profit", "ppmt-ip-share", "ppmt-region-channel"] },
|
||||||
@@ -33,7 +36,7 @@
|
|||||||
{ "id": "expense", "name": "费用率", "chartRefs": ["ppmt-margins", "ppmt-expense-structure"] },
|
{ "id": "expense", "name": "费用率", "chartRefs": ["ppmt-margins", "ppmt-expense-structure"] },
|
||||||
{ "id": "balance-sheet", "name": "资产负债", "chartRefs": ["ppmt-assets", "ppmt-liquidity-working-capital", "ppmt-working-capital-days"] },
|
{ "id": "balance-sheet", "name": "资产负债", "chartRefs": ["ppmt-assets", "ppmt-liquidity-working-capital", "ppmt-working-capital-days"] },
|
||||||
{ "id": "ip-category", "name": "IP 与品类", "chartRefs": ["ppmt-ip", "ppmt-ip-share", "ppmt-ip-share-history", "ppmt-ip-ex-monsters", "ppmt-category"] },
|
{ "id": "ip-category", "name": "IP 与品类", "chartRefs": ["ppmt-ip", "ppmt-ip-share", "ppmt-ip-share-history", "ppmt-ip-ex-monsters", "ppmt-category"] },
|
||||||
{ "id": "region-channel", "name": "区域渠道", "chartRefs": ["ppmt-region-channel", "ppmt-region-yoy", "ppmt-region-yoy-timeseries", "ppmt-channel-revenue"] }
|
{ "id": "region-channel", "name": "区域渠道", "chartRefs": ["ppmt-region-channel", "ppmt-region-yoy", "ppmt-region-yoy-timeseries", "ppmt-channel-revenue", "ppmt-stores-retail", "ppmt-stores-robot", "ppmt-region-share"] }
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
|
|||||||
Reference in New Issue
Block a user