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.

Empieza ejecutando el ejemplo proporcionado de px.imshow, cambiando Friday o Evening por una etiqueta repetida, y reproduce la fila o columna que falta. Compara el comportamiento con go.Heatmap usando los mismos datos; se considera terminado cuando las etiquetas repetidas ya no ocultan datos silenciosamente, o un error claro informa de que no son compatibles.