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 arrays

IndexError: too many indices for array: array is 0-dimensional, but 1 were indexed