Imshow behaviour incorrect with log scale on yaxis

Plotly version: 5.15.0

I'm passing some values to the yaxis of px.imshow. If I just plot it as-is it's fine

import plotly.express as px
fig = px.imshow(
    img = [[1,2], [3,4], [5,6]],
    x = ['A', 'B'],
    y = [10, 100, 1000],
    text_auto=True,
    width=600
)
fig.update_yaxes(autorange='reversed')

But if I change the yaxis type to log using fig.update_yaxis, the first row of data disappears

import plotly.express as px
fig = px.imshow(
    img = [[1,2], [3,4], [5,6]],
    x = ['A', 'B'],
    y = [10, 100, 1000],
    text_auto=True,
    width=600
)
fig.update_yaxes(type='log', autorange='reversed')

Playing around with the yaxis values doesn't seem to affect this behaviour

Note: It seems to depend only on the closeness of the first and second yaxis values

VS

Start with the reproducible Python example using px.imshow and fig.update_yaxes(type='log', autorange='reversed'), then compare the log-scale rendering with the linear-scale result. Done means the first row remains visible for the reported y-axis values while reversed autorange and log scaling still work correctly.