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Description
Calling ax.pie() with all-zero data leads to an internal NaN→int conversion failure, rather than a clean “all zero input” error or an empty plot.
Reproducible example
import matplotlibmatplotlib.use('Agg')import matplotlib.pyplot as pltfig, ax = plt.subplots()ax.pie([0, 0], labels=["A", "B"])fig.savefig("out.png")`Traceback
RuntimeWarning: invalid value encountered in divide x = x / sx... File ".../matplotlib/axes/_axes.py", line 3409, in pie w = mpatches.Wedge((x, y), radius, 360. * min(theta1, theta2), ... File ".../matplotlib/patches.py", line 1264, in _recompute_path arc = Path.arc(theta1, theta2) File ".../matplotlib/path.py", line 961, in arc n = int(2 ** np.ceil((eta2 - eta1) / halfpi))ValueError: cannot convert float NaN to integerExpected behavior
Either:
Render an empty/placeholder pie when slice‐sizes sum to zero
Or raise a clear ValueError("All wedge sizes zero") before entering the NaN conversion