Bug summary

markevery[float] is supposed to result in evenly distributed markers, but when y-data is noisy, its effect seems to "gradually" fade away.

Code for reproduction

importmatplotlib.pyplotaspltimportnumpyasnpx=np.linspace(1e3,1e7,1000)fig,ax=plt.subplots(nrows=3,ncols=3,figsize=(9,9),layout="constrained")fori,ax_iinenumerate(ax.flatten()):ax_i.set_title(f"noise level ={i/5:.1f}")y=np.exp(x**0.1)+np.random.rand(len(x))*i/2ax_i.plot(x,y,'b.-',markevery=0.1,ms=10,markerfacecolor="r")ax_i.set_xscale("log")ax_i.set_yscale("log")

Actual outcome

Expected outcome

All subplots be like the one with 0 noise level.

Additional information

No response

Operating system

Ubuntu

Matplotlib Version

3.8.3

Matplotlib Backend

matplotlib_inline.backend_inline

Python version

3.10.13

Jupyter version

No response

Installation

pip