BUG df.plot.box handles matplotlib Axes with sharey=True

[glemaitre]

• closes BUG: df.plot.box does not handle well when matplotlib Axes uses sharey=True #54941
• Tests added and passed if fixing a bug or adding a new feature
• All code checks passed.
• Added type annotations to new arguments/methods/functions.
• Added an entry in the latest doc/source/whatsnew/vX.X.X.rst file if fixing a bug or adding a new feature.

[glemaitre]

I think this is a first fix. However, there is still a discrepancy between df.boxplot and df.plot.box:

df.plot.box

df.boxplot

On the df.plot.box, the minor ticks are visible mainly due to calling this function:

pandas/pandas/plotting/_matplotlib/tools.py

Lines 318 to 331 in ac8d34d

	def _remove_labels_from_axis(axis: Axis) -> None:
	for t in axis.get_majorticklabels():
	t.set_visible(False)
	# set_visible will not be effective if
	# minor axis has NullLocator and NullFormatter (default)
	if isinstance(axis.get_minor_locator(), ticker.NullLocator):
	axis.set_minor_locator(ticker.AutoLocator())
	if isinstance(axis.get_minor_formatter(), ticker.NullFormatter):
	axis.set_minor_formatter(ticker.FormatStrFormatter(""))
	for t in axis.get_minorticklabels():
	t.set_visible(False)
	axis.get_label().set_visible(False)

The plt.boxplot will not create the minor ticks but with the plot accessor, the _adorn_subplots is calling handle_shared_axes that is calling the function above and somehow recreating the minor ticks.

I would leave this issue for another PR because touching this part should have some other side effect on other plots.

[mroeschke]

Thanks @glemaitre