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.

まず、提供されている px.imshow の例を実行し、Friday または Evening を繰り返しラベルに変更して、欠落する行または列を再現します。同じデータを使って go.Heatmap と動作を比較します。繰り返しラベルによってデータが黙って隠されなくなるか、サポートされていないことを明確なエラーで報告すれば完了です。