Bug summary

I am not sure if this is a bug or an optimization, but in most cases it is fine to plot bars of arrays containing NaN (only the NaN values are not displayed, the rest is ok).

Here I found that when thex array or thebottom array have NaNs at the extremities, no bar is displayed.

(barh has the same behavior).

Code for reproduction

importnumpyasnp,matplotlibasmpl,matplotlib.pyplotaspltbarx=np.arange(3,dtype=float)barheights=np.array([0.5,1.5,2.0])barstarts=np.array([0.77]*3)barx[[0,2]]=np.NaN# alternatively:#barstarts[[0,2]] = np.NaNfig,ax=plt.subplots()ax.bar(barx,barheights,bottom=barstarts)# Not ok, nothing shown!# Same behavior with ax.barh:ax.barh(barx,barheights,left=barstarts)# However, the behavior is correct when NaN only affect the 'heights' argument:fig,ax=plt.subplots()ax.bar(np.arange(3),np.array([np.NaN,1,np.NaN]),bottom=np.array([0.2,0.3,0.4]))# OK, one bar is displayed.

Actual outcome

zero bar displayed

Expected outcome

Non-NaN elements should be shown

Additional information

No response

Operating system

Ubuntu 20.04.3

Matplotlib Version

3.5.3

Matplotlib Backend

TkAgg, pdf

Python version

3.8.10

Jupyter version

ipython

Installation

pip