importmatplotlibimportmatplotlib.pyplotaspltmatplotlib.use('agg')plt.figure()plt.plot([1,2,3], [3,4,5],label='label')plt.plot([1.05,2.10,3.15], [3.050,3.025,3.010])plt.fill_between([1,3], [3,5], [3.050,3.010])# IndexError

File .../matplotlib/pyplot.py:2514, in fill_between(x, y1, y2, where, interpolate, step, data, **kwargs)   2510 @_copy_docstring_and_deprecators(Axes.fill_between)   2511 def fill_between(   2512         x, y1, y2=0, where=None, interpolate=False, step=None, *,   2513         data=None, **kwargs):-> 2514     return gca().fill_between(   2515         x, y1, y2=y2, where=where, interpolate=interpolate, step=step,   2516         **({"data": data} if data is not None else {}), **kwargs)File .../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 .../matplotlib/axes/_axes.py:5335, in Axes.fill_between(self, x, y1, y2, where, interpolate, step, **kwargs)   5333 def fill_between(self, x, y1, y2=0, where=None, interpolate=False,   5334                  step=None, **kwargs):-> 5335     return self._fill_between_x_or_y(   5336         "x", x, y1, y2,   5337         where=where, interpolate=interpolate, step=step, **kwargs)File .../matplotlib/axes/_axes.py:5263, in Axes._fill_between_x_or_y(self, ind_dir, ind, dep1, dep2, where, interpolate, step, **kwargs)   5259 ind, dep1, dep2 = np.broadcast_arrays(   5260     np.atleast_1d(ind), dep1, dep2, subok=True)   5262 polys = []-> 5263 for idx0, idx1 in cbook.contiguous_regions(where):   5264     indslice = ind[idx0:idx1]   5265     dep1slice = dep1[idx0:idx1]File .../matplotlib/cbook/__init__.py:1333, in contiguous_regions(mask)   1330     return []   1332 # Find the indices of region changes, and correct offset-> 1333 idx, = np.nonzero(mask[:-1] != mask[1:])   1334 idx += 1   1336 # List operations are faster for moderately sized arraysIndexError: too many indices for array: array is 0-dimensional, but 1 were indexed