Hello, i get this error:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[42], line 2
      1 #Visualizar Pronosticos al asar
----> 2 sf.plot(train_agg,forecasts_df)

File ~\.conda\envs\Merck\lib\site-packages\statsforecast\core.py:1740, in _StatsForecast.plot(df, forecasts_df, unique_ids, plot_random, models, level, max_insample_length, plot_anomalies, engine, resampler_kwargs)
   1738 ds = train_uid["ds"]
   1739 y = train_uid["y"]
-> 1740 axes[idx, idy].plot(ds, y, label="y")
   1741 if forecasts_df is not None:
   1742     if models is None:

File ~\.conda\envs\Merck\lib\site-packages\matplotlib\axes\_axes.py:1605, in Axes.plot(self, scalex, scaley, data, *args, **kwargs)
   1363 """
   1364 Plot y versus x as lines and/or markers.
   1365 
   (...)
   1602 (``'green'``) or hex strings (``'#008000'``).
   1603 """
   1604 kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D)
-> 1605 lines = [*self._get_lines(*args, data=data, **kwargs)]
   1606 for line in lines:
   1607     self.add_line(line)

File ~\.conda\envs\Merck\lib\site-packages\matplotlib\axes\_base.py:315, in _process_plot_var_args.__call__(self, data, *args, **kwargs)
    313     this += args[0],
    314     args = args[1:]
--> 315 yield from self._plot_args(this, kwargs)

File ~\.conda\envs\Merck\lib\site-packages\matplotlib\axes\_base.py:490, in _process_plot_var_args._plot_args(self, tup, kwargs, return_kwargs)
    487         kw[prop_name] = val
    489 if len(xy) == 2:
--> 490     x = _check_1d(xy[0])
    491     y = _check_1d(xy[1])
    492 else:

File ~\.conda\envs\Merck\lib\site-packages\matplotlib\cbook\__init__.py:1362, in _check_1d(x)
   1356 with warnings.catch_warnings(record=True) as w:
   1357     warnings.filterwarnings(
   1358         "always",
   1359         category=Warning,
   1360         message='Support for multi-dimensional indexing')
-> 1362     ndim = x[:, None].ndim
   1363     # we have definitely hit a pandas index or series object
   1364     # cast to a numpy array.
   1365     if len(w) > 0:

File ~\.conda\envs\Merck\lib\site-packages\pandas\core\series.py:1072, in Series.__getitem__(self, key)
   1069     key = np.asarray(key, dtype=bool)
   1070     return self._get_rows_with_mask(key)
-> 1072 return self._get_with(key)

File ~\.conda\envs\Merck\lib\site-packages\pandas\core\series.py:1082, in Series._get_with(self, key)
   1077     raise TypeError(
   1078         "Indexing a Series with DataFrame is not "
   1079         "supported, use the appropriate DataFrame column"
   1080     )
   1081 elif isinstance(key, tuple):
-> 1082     return self._get_values_tuple(key)
   1084 elif not is_list_like(key):
   1085     # e.g. scalars that aren't recognized by lib.is_scalar, GH#32684
   1086     return self.loc[key]

File ~\.conda\envs\Merck\lib\site-packages\pandas\core\series.py:1122, in Series._get_values_tuple(self, key)
   1117 if com.any_none(*key):
   1118     # mpl compat if we look up e.g. ser[:, np.newaxis];
   1119     #  see tests.series.timeseries.test_mpl_compat_hack
   1120     # the asarray is needed to avoid returning a 2D DatetimeArray
   1121     result = np.asarray(self._values[key])
-> 1122     disallow_ndim_indexing(result)
   1123     return result
   1125 if not isinstance(self.index, MultiIndex):

File ~\.conda\envs\Merck\lib\site-packages\pandas\core\indexers\utils.py:341, in disallow_ndim_indexing(result)
    333 """
    334 Helper function to disallow multi-dimensional indexing on 1D Series/Index.
    335 
   (...)
    338 in GH#30588.
    339 """
    340 if np.ndim(result) > 1:
--> 341     raise ValueError(
    342         "Multi-dimensional indexing (e.g. `obj[:, None]`) is no longer "
    343         "supported. Convert to a numpy array before indexing instead."
    344     )

ValueError: Multi-dimensional indexing (e.g. `obj[:, None]`) is no longer supported. Convert to a numpy array before indexing instead.

when i do this: sf.plot(train_agg,forecasts_df)

Try using to_numpy() on your dataframe. https://stackoverflow.com/questions/75939123/valueerror-multi-dimensional-indexing-e-g-obj-none-is-no-longer-suppor