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,)``