Bug summary

get_x/yticks seems to have some padding but does not return the actual printed ticks.

Code for reproduction

fig, ax = plt.subplots()
ax.loglog( range(100), range(100) )
print( ax.get_yticks() )

array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04])

Actual outcome

fig, ax = plt.subplots()
ax.loglog( range(100), range(100) )

ax2 = ax.twinx()
ax2.set_yscale('log')
ax2.set_ylim( ax.get_ylim() )

yields a correct visual equivalence

but adding ax2.set_yticks( ax.get_yticks() )

fig, ax = plt.subplots()
ax.loglog( range(100), range(100) )

ax2 = ax.twinx()
ax2.set_yscale('log')
ax2.set_ylim( ax.get_ylim() )

ax2.set_yticks( ax.get_yticks() ) # <---

yields:

Expected outcome

Both axes with equal visual appearance when using ax2.set_yticks( ax.get_yticks() ).

Additional information

Why is this behavior problematic?

Consider e.g.:

ax2.set_yticks( ticks=ax.get_yticks(), 
                labels=[ "{:.2f}".format( my_transform(i) ) for i in ax.get_yticks() ] )

Thanks for any help / investigation!

Operating system

Arch

Matplotlib Version

3.5.2

Matplotlib Backend

module://matplotlib_inline.backend_inline

Python version

3.10.5

Jupyter version

jupyter lab --version == 3.4.4

Installation

Linux package manager