importnumpyasnpimportmatplotlib.pyplotaspltf,ax=plt.subplots()ax.bar([np.nan], [np.nan])

---------------------------------------------------------------------------StopIteration                             Traceback (most recent call last)Cell In [1], line 42import matplotlib.pyplotas plt3 f, ax= plt.subplots()----> 4 ax.bar([np.nan], [np.nan])[0].get_x()File ~/miniconda/envs/py310/lib/python3.10/site-packages/matplotlib/__init__.py:1423, in _preprocess_data.<locals>.inner(ax, data, *args, **kwargs)   1420 @functools.wraps(func)   1421 def inner(ax, *args, data=None, **kwargs):   1422     if data is None:-> 1423         return func(ax, *map(sanitize_sequence, args), **kwargs)   1425     bound = new_sig.bind(ax, *args, **kwargs)   1426     auto_label = (bound.arguments.get(label_namer)   1427                   or bound.kwargs.get(label_namer))File ~/miniconda/envs/py310/lib/python3.10/site-packages/matplotlib/axes/_axes.py:2373, in Axes.bar(self, x, height, width, bottom, align, **kwargs)   2371 x0 = x   2372 x = np.asarray(self.convert_xunits(x))-> 2373 width = self._convert_dx(width, x0, x, self.convert_xunits)   2374 if xerr is not None:   2375     xerr = self._convert_dx(xerr, x0, x, self.convert_xunits)File ~/miniconda/envs/py310/lib/python3.10/site-packages/matplotlib/axes/_axes.py:2182, in Axes._convert_dx(dx, x0, xconv, convert)   2170 try:   2171     # attempt to add the width to x0; this works for   2172     # datetime+timedelta, for instance   (...)   2179     # removes the units from unit packages like `pint` that   2180     # wrap numpy arrays.   2181     try:-> 2182         x0 = cbook._safe_first_finite(x0)   2183     except (TypeError, IndexError, KeyError):   2184         passFile ~/miniconda/envs/py310/lib/python3.10/site-packages/matplotlib/cbook/__init__.py:1749, in _safe_first_finite(obj, skip_nonfinite)   1746     raise RuntimeError("matplotlib does not "   1747                        "support generators as input")   1748 else:-> 1749     return next(val for val in obj if safe_isfinite(val))StopIteration:

ax.bar([np.nan], [0])# Raisesax.bar([0], [np.nan])# Works