heatmaps hide data if any X- or Y-axis label is repeated (px.imshow and go.Heatmap)

This example is from Customizing the axes and labels on a heatmap:

import plotly.express as px
data=[[1, 25, 30, 50, 1], [20, 1, 60, 80, 30], [30, 60, 1, 5, 20]]
fig = px.imshow(data,
                labels=dict(x="Day of Week", y="Time of Day", color="Productivity"),
                x=['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'],
                y=['Morning', 'Afternoon', 'Evening'])
fig.show()

If you change "Friday" to "Monday", or "Evening" to "Morning", the row or column with the repeated label disappears. The same thing happens with go.Heatmap on the same page.

I don't think I read anywhere that labels must be unique, and all the examples suggest that the labels are arbitrary strings. If they must be unique, reporting an error seems more rational than hiding data.

首先运行提供的 px.imshow 示例，将 Friday 或 Evening 改为重复标签，并复现缺失的行或列。使用相同的数据将其行为与 go.Heatmap 进行比较；当重复标签不再静默地隐藏数据，或者明确的错误报告它们不受支持时，即可完成。