… the plot

PR summary

This PR fixes a bug in polar plots (issue#30164), where removing ticks usingset_xticks([]) orset_yticks([]) would distort the aspect ratio.

Why is this change necessary?

Removing the ticks should not alter the scaling or appearance of the plot, but currently, it does in polar projections.

What problem does it solve?

It ensures that the radial and angular axes maintain their correct scaling even when ticks are hidden.

Implementation details

The fix modifiesPolarAxes._init_axis() to ensure that tick visibility no longer affects autoscaling or aspect locking.

Minimal example demonstrating the fix:

importnumpyasnpimportmatplotlib.pyplotaspltD=np.array([[2,.3], [.3,2.5]])lam,vec=np.linalg.eigh(D)theta=np.linspace(-np.pi,np.pi,1001)xy=np.stack((lam[0]*np.cos(theta),lam[1]*np.sin(theta)),axis=0)xy=vec.T @xyradii=np.sqrt(np.sum(xy**2,axis=0))thetas=np.arctan2(-xy[1],xy[0])plt.figure()ax1=plt.subplot(121,projection='polar')ax1.plot(thetas,radii)ax2=plt.subplot(122,projection='polar')ax2.plot(thetas,radii)ax2.set_xticks([])ax2.set_yticks([])plt.show()

PR checklist

PR checklist

• "closes[Bug]: Removing spines in polar plot causes distortion of the plot #30164" is in the body of the PR description tolink the related issue
• new and changed code istested
• Plotting related features are demonstrated in anexample
• [N/A]New Features andAPI Changes are noted with adirective and release note
• [N/A] Documentation complies withgeneral anddocstring guidelines