Bug summary

When there are duplicate labels in my label array (for example:['first label', 'second label’, ‘third label', 'second label']),ax.bar() andax.barh() ignore the duplicates (both bars and labels).

Code for reproduction

importmatplotlib.pyplotaspltname= ["first label","second label","third label","second label",]value= [1,2,3,4]fig,ax=plt.subplots(layout="tight")ax.barh(name,value)foriinrange(len(name)):n=name[i]v=value[i]ax.text(x=v+1,y=i,s=f"{n} ({i})",va="center")

Actual outcome

Expected outcome

A bar chart with 4 bars (the second ‘second label’ would be above the bar of the ‘third label’).

What's more, for some reason the bar on the ‘second label’ has a value of 4, whereas I was intuitively expecting it to have a value of 2?

Additional information

You might expect there to be only single labels, but as this isn't explained in the documentation, I've pointed it out just in case. It's quite hard to spot when you're drawing a lot of bars.

Operating system

MacOS Sonoma

Matplotlib Version

3.10.0

Matplotlib Backend

module://positron_ipykernel.matplotlib_backend

Python version

3.13.1

Jupyter version

/

Installation

pip