Bug: texttemplate and hovertemplate show inconsistent values when categoryarray is used in Heatmap
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- Python
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描述
Minimal working example:
import plotly.graph_objects as go
z = [
[1, None, 30, 50, 1],
[20, 1, 60, 80, 30],
[30, 60, 1, -10, 20]
]
x = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday']
y = ['Morning', 'Afternoon', 'Evening']
fig = go.Figure(
data=go.Heatmap(
z=z,
x=x,
y=y,
text=z,
texttemplate='%{x}<br>%{y}<br>%{text}',
hovertemplate='%{x}<br>%{y}<br>%{text}<extra></extra>',
)
)
# Reverse y-axis order
fig.update_layout(yaxis={'categoryarray': y[::-1]})
fig.show()
Expected behavior:
- When the
yaxis.categoryarrayis reversed, both the heatmap cells and the text (%{text}) / hover labels should display the correctly corresponding values fromz.
Actual behavior:
-
The axis ordering (
x,y) updates correctly. -
The visual placement of heatmap cells updates correctly.
-
However,
%{text}inhovertemplatestill correspond to the original unsorted order ofz. -
This leads to mismatched hover and text values after sorting by category.
Example:
After reversing the y axis, the heatmap looks right, but hovering over a cell labeled "Morning / Monday" still shows the value corresponding to "Evening / Monday" from the original order.
Additional note (text color rendering issue)
I also noticed that the text color changes incorrectly after sorting:
In the unsorted heatmap, cells like “Thursday / Evening” show white text on a dark blue background, which is legible and consistent.
After applying the categoryarray sort, the same cell (now visually repositioned) starts showing almost black text on the same dark background, making it nearly invisible.
This suggests that the automatic contrast adjustment for text color (based on cell background) may not update properly after the category sorting.
Version info
plotly.__version__
# 6.3.1
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- Fork 仓库,在一个分支上完成修改。
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调研方向
使用 Plotly 6.3.1 通过最小 Python 示例重现该问题,包括反转的 yaxis categoryarray。跟踪类别排序后 heatmap cell values、texttemplate、hovertemplate 和自动文本对比度是如何重新映射的;当显示的值和文本颜色仍与重新定位的单元格保持对应时,即表示完成。
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评估
- 技术栈
- python
- 领域
- data-visualization
- Issue 类型
- 缺陷
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 活跃度
- 停滞
- 描述清晰度
- 基本清楚
- 新手友好度
- 38/100