Error for example stockmarketfluctuations.ipynb

[ricnov]

Hi, I have the following error: ValueError: operands could not be broadcast together with shapes (388,100,400) (0,)
Here's the traceback
``ValueError Traceback (most recent call last)
Cell In[18], line 15
13 # parameter plot
14 plt.subplot(212)
---> 15 S.plot('sigma', color='r')
17 plt.xticks([28, 88, 148, 208, 268, 328, 388],
18 ['10am', '11am', '12pm', '1pm', '2pm', '3pm', '4pm'])
19 plt.xlabel('Nov 28, 2016')

File ~\PycharmProjects\StocklMarketFluctuations\venv\lib\site-packages\bayesloop\core.py:2946, in OnlineStudy.plot(self, name, **kwargs)
2944 color = kwargs.pop('color', 'b')
2945 gamma = kwargs.pop('gamma', 0.5)
-> 2946 self.plotParameterEvolution(name, color=color, gamma=gamma, **kwargs)
2948 # parameter distribution plot
2949 elif t is not None and self.storeHistory:

File ~\PycharmProjects\StocklMarketFluctuations\venv\lib\site-packages\bayesloop\core.py:2375, in OnlineStudy.plotParameterEvolution(self, name, color, gamma, **kwargs)
2372 self.posteriorMeanValues = np.array(self.posteriorMeanValues).T
2373 self.posteriorSequence = np.array(self.posteriorSequence)
-> 2375 Study.plotParameterEvolution(self, name, color=color, gamma=gamma, **kwargs)
2377 # re-transform arrays to lists, so online study may continue to append values
2378 self.formattedTimestamps = list(self.formattedTimestamps)

File ~\PycharmProjects\StocklMarketFluctuations\venv\lib\site-packages\bayesloop\core.py:1015, in Study.plotParameterEvolution(self, name, color, gamma, **kwargs)
1003 def plotParameterEvolution(self, name, color='b', gamma=0.5, **kwargs):
1004 """
1005 Extended plot method to display a series of marginal posterior distributions corresponding to a single model
1006 parameter. In contrast to getMarginalParameterDistributions(), this method includes the removal of plotting
(...)
1013 kwargs: all further keyword-arguments are passed to the plot of the posterior mean values
1014 """
-> 1015 if self.posteriorSequence == []:
1016 raise PostProcessingError('Cannot plot posterior sequence as it has not yet been computed. '
1017 'Run complete fit.')
1019 dt = self.formattedTimestamps[1:] - self.formattedTimestamps[:-1]

ValueError: operands could not be broadcast together with shapes (388,100,400) (0,)``