219 lines
11 KiB
Markdown
219 lines
11 KiB
Markdown
# 多工况 / 多条件结果对比图模板
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本文件用于生成「同一研究对象在不同工况 / 条件 / 组别下的多面板结果对比图」：
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- 不同温度 / 压力 / 浓度 / 配比 / 时间下的实验或仿真结果
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- 不同处理组 / 对照组 / 工艺方案的并列结果
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- 多面板 (a)(b)(c)(d) 形式的论文 result figure
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特征：
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- 2×2 / 1×3 / 1×4 等统一网格布局
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- **所有 panel 严格统一**：相同尺寸、相同色彩逻辑、相同图例、相同字体层级、相同边距
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- 白底、低饱和工程色，论文结果图风格
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- **无真实数据时只做定性表达，禁止虚构数值 / 等值线 / 色标范围**
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## 适用范围
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- 工程 / 物理 / 化学 / 能源 / 材料 / 环境方向的多工况结果对比
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- 燃烧 / 流场 / 温度场 / 应力场 / 浓度场 等场图对比
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- 不同处理组 / 不同剂量 / 不同时间点 的实验对照
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- 同一指标在多个 condition 下的多面板可视化
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## 何时使用
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- 用户提到「多工况 / 多条件 / 不同 X 下的对比 / panel (a)(b)(c)(d) / 结果对比图」
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- 用户希望视觉「论文 result figure，不是营销信息图」
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- 比较的是**同一对象在不同条件下的同类结果**
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不要使用：
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- 用户要的是「不同方法在同一样本上的输出对比」（行=样本，列=方法） → 用 `academic-figures/qualitative-comparison-grid.md`
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- 用户要的是「单个 publication-ready 图表」（bar / line / scatter） → 用 `academic-figures/publication-chart.md`
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- 用户要的是「营销 / 信息图风格的二元对比」 → 用 `infographics/comparison-infographic.md`
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## 缺失信息优先提问顺序
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1. 比较对象是什么（同一现象 / 同一指标）
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2. 比较的是哪些工况 / 条件（建议 2-6 个；超过 6 个考虑分两张图）
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3. 每个 panel 显示的是什么（场图 / 折线 / 柱图 / 等值线 / 显微图）—— 必须**所有 panel 同类型**
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4. 是否有真实数据（**关键**：决定是定性图还是定量图）
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5. 网格布局（2×2 / 1×3 / 1×4 / 2×3）
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6. 标签语言（中文 / 英文 / 双语）
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7. 共享图例 / 共享色标（强烈建议共享）
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## 主模板：N panel 多工况对比（统一规格）
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📖 描述
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整张图按统一网格分割成 N 个 panel，每个 panel 展示同一类结果在不同工况下的表现。所有 panel 共享色标 / 图例 / 字体层级 / 边距。子图标记为 (a)(b)(c)(d)，标签简短克制。**绝对不允许每个 panel 自成一套风格。**
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📝 提示词
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```json
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{
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"type": "学术多工况结果对比图（multi-condition comparison figure）",
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"goal": "生成一张可直接放进论文 results 章节的多面板对比图，要求所有 panel 严格统一、白底、低饱和工程色、可单色印刷可读",
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"canvas": {
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"aspect_ratio": "{argument name=\"aspect_ratio\" default=\"4:3\"}",
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"background": "pure white #FFFFFF",
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"outer_padding": "50px around the grid",
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"inter_panel_gap": "16-20px, identical horizontal and vertical",
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"render_quality": "vector-clean look, anti-aliased, sharp text"
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},
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"title_caption": {
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"figure_label": "{argument name=\"figure_label\" default=\"Figure X.\"}",
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"caption": "{argument name=\"caption\" default=\"Comparison of results under varying conditions.\"}",
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"position": "bottom-center, italic serif or compact sans-serif, smaller font size"
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},
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"grid_layout": {
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"rows": "{argument name=\"rows\" default=\"2\"}",
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"cols": "{argument name=\"cols\" default=\"2\"}",
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"panel_count": "{argument name=\"panel_count\" default=\"4\"}",
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"rule": "rows × cols == panel_count; all panels identical size; consistent vertical and horizontal alignment"
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},
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"panels": {
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"panel_type": "{argument name=\"panel_type\" default=\"contour-field\"}",
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"panel_type_options": "contour-field | line-chart | bar-chart | heatmap | micrograph | flow-field | bubble-chart",
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"rule": "ALL panels MUST share the same panel_type; never mix bar with line within the same comparison figure",
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"items": [
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{
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"id": "(a)",
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"condition_label": "{argument name=\"panel_a_label\" default=\"Condition A\"}",
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"condition_detail": "{argument name=\"panel_a_detail\" default=\"e.g. excess-air ratio λ = 1.0\"}"
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},
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{
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"id": "(b)",
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"condition_label": "{argument name=\"panel_b_label\" default=\"Condition B\"}",
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"condition_detail": "{argument name=\"panel_b_detail\" default=\"e.g. excess-air ratio λ = 1.2\"}"
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},
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{
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"id": "(c)",
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"condition_label": "{argument name=\"panel_c_label\" default=\"Condition C\"}",
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"condition_detail": "{argument name=\"panel_c_detail\" default=\"e.g. excess-air ratio λ = 1.4\"}"
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},
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{
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"id": "(d)",
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"condition_label": "{argument name=\"panel_d_label\" default=\"Condition D\"}",
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"condition_detail": "{argument name=\"panel_d_detail\" default=\"e.g. excess-air ratio λ = 1.6\"}"
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}
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]
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},
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"panel_style": {
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"frame": "thin border 1px #1F2937 OR clean axis lines without outer frame, applied identically to all panels",
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"label_position": "(a) (b) (c) (d) at top-left of each panel, bold sans-serif, 11pt",
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"condition_label_position": "centered above each panel OR inside each panel top-right, identical position across all panels",
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"axis_labels": "shared if possible; if shown, identical font size, identical tick density across panels",
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"internal_titles": "AVOID per-panel decorative titles; rely on (a)(b)(c)(d) + condition label only"
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},
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"shared_legend": {
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"enabled": "{argument name=\"shared_legend_enabled\" default=\"true\"}",
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"position": "{argument name=\"shared_legend_position\" default=\"right-of-grid\"}",
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"rule": "single legend / colorbar shared across ALL panels; never give each panel its own legend with different range",
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"colorbar_range": "{argument name=\"colorbar_range\" default=\"qualitative-low-to-high\"}",
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"colorbar_range_rule": "if user provided a numerical range, use it; otherwise render as a qualitative gradient labeled 'low → high' with NO fabricated numerical ticks"
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},
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"color_logic": {
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"rule": "≤ 3 main colors total; if a sequential colormap is used, choose a perceptually uniform low-saturation engineering colormap (e.g. viridis-like, blue-to-orange, gray-to-deep-blue); apply the SAME colormap and SAME range to every panel",
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"must_print_grayscale_readable": true
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},
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"data_authenticity": {
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"user_provided_real_data": "{argument name=\"has_real_data\" default=\"false\"}",
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"rule_when_false": "render the panels as QUALITATIVE schematics: smooth gradient fields, generic shapes, no numerical tick labels on the colorbar, no specific values in axes; explicitly avoid the visual impression of a real dataset",
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"rule_when_true": "use the user-provided values; never extrapolate, interpolate, or invent additional values"
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},
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"constraints": {
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"must_keep": [
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"all panels identical size, identical aspect, identical position scheme",
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"shared color logic and shared legend across all panels",
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"white background, no gradient backdrop, no decorative pattern",
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"(a)(b)(c)(d) labels in identical position and identical style across all panels",
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"only sans-serif typography, identical font family across all panels",
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"the figure should look like it came from a results section of an engineering or science journal"
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],
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"avoid": [
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"different colormap or different color range per panel",
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"different chart type per panel (e.g. mixing bar and line)",
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"decorative panel titles, hero panel that visually dominates the rest",
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"saturated brand colors, neon, vivid gradients",
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"3D effects, drop shadows, glossy fills, lens flare",
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"fabricated numerical tick values, fabricated colorbar ranges, fabricated isolines",
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"marketing-poster aesthetics, infographic-collage aesthetics",
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"watermarks, copyright stamps"
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]
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}
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}
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```
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### 参数策略
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- **必问**：`panel_count`、`panel_type`（所有 panel 同一类型）、`has_real_data`
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- **可默认**：`aspect_ratio`、`grid_layout`（2×2 是最常见）、`shared_legend_enabled`（true）
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- **可随机**：每个 condition 的 `*_detail` 措辞（用户给了控制变量名时可学术化）
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### 自动补全策略
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- 用户没说有没有真实数据 → **必须先确认**：`has_real_data` = false 时全图走定性渲染
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- 用户给了不同 condition 但没说每 panel 的具体取值 → 在 condition_detail 里用占位短语（如 `λ = X1`），**不要编造数字**
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- 用户给了 panel 数但 row × col 不匹配 → 自动选最接近正方的网格（2×2 / 2×3 / 3×3）
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- 用户说"中文论文 / 答辩" → 切换标签为中文 + 字体 PingFang / 思源黑
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## 变体 1：横向 1×N（适合窄 panel 比较）
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```json
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{
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"type": "横向 1×N 多工况对比",
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"modify": {
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"layout": "rows = 1, cols = N（建议 N ≤ 4）",
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"use_case": "panel 内部是窄柱图 / 窄折线，更适合横向铺开；或论文双栏排版需要横向单行"
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}
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}
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```
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适用：单栏 / 双栏论文格式中的横向比较。
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## 变体 2：行列双因子矩阵（M×N）
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```json
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{
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"type": "双因子矩阵对比",
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"modify": {
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"layout": "rows = M（一种因子的不同水平），cols = N（另一种因子的不同水平）",
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"rule": "顶部一行写列因子标签，最左一列写行因子标签；panel 内部样式严格统一",
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"use_case": "需要同时变化两个独立变量（如温度 × 含水率，或时间 × 浓度）"
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}
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}
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```
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适用：双因子实验设计的结果展示，正交试验结果可视化。
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## 变体 3：定性场图渲染（无真实数据）
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```json
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{
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"type": "定性场图多工况对比",
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"modify": {
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"panel_type": "contour-field",
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"data_authenticity": {
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"user_provided_real_data": false,
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"rule": "render smooth qualitative gradient fields with NO numerical tick labels and NO specific isoline values; the colorbar shows 'low → high' as a qualitative scale only",
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"intent": "visually communicate 'higher temperature in panel (b)' without claiming any specific value"
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},
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"use_case": "答辩 / 开题阶段尚未拿到数据，需要先讲清研究思路时使用"
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}
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}
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```
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适用：示意性结果对比、方法论说明阶段。
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## 避免事项
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- 给每个 panel 用不同 colormap / 不同 range → 直接破坏可比性
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- 在没有真实数据时画出带具体数值的等值线 / 色标刻度（**严格禁止虚构数据**）
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- 让某一 panel 视觉权重明显大于其他 panel（不允许"主图 + 辅图"的结构）
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- 在每个 panel 加独立的装饰性标题
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- 把不同类型的图（bar / line / contour）混排在同一对比图里
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- 使用饱和 brand 色或霓虹渐变
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- 把"对比方法"的逻辑（行=样本×列=方法）误用到本模板（请改用 `qualitative-comparison-grid.md`）
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- 加水印 / 期刊 logo / 设备品牌标
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