When the plot method of a dataframe is passed an ax keyword to render to a matplotlib subplot, the minor ticks and their labels are rendered regardless of whether sharex|y=True. The major ticks/labels are correctly removed.
Here's a short notebook that reproduces the issue. Note that the minor ticks are included in the upper axes of the final figure.
I am 90% certain this is a regression, but I wasn't able to pin down which version of pandas or matplotlib prompted this bug. Nor was I able to figure out whether this was due to pandas or matplotlib.
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