I had to make two changes to the plot_data_and_prediction and make_figure functions in best.plot because they used some depreciated matplotlib parameters:
in make_figure i just removed axisbg
Color of Axes
The axisbg and axis_bgcolor properties on Axes have been deprecated in favor of facecolor.
in plot_data_and_prediction, matplotlib's hist function parameter normed=True is replaced with density=True
normed : bool, optional
This keyword is deprecated in NumPy 1.6.0 due to confusing/buggy behavior. It will be removed in NumPy 2.0.0. Use the density keyword instead. If False, the result will contain the number of samples in each bin. If True, the result is the value of the probability density function at the bin, normalized such that the integral over the range is 1. Note that this latter behavior is known to be buggy with unequal bin widths; use density instead.
Just something I came across trying to run the example: https://github.com/f00-/bayesian-estimation-supersedes-the-t-test-python
I had to make two changes to the
plot_data_and_predictionandmake_figurefunctions in best.plot because they used some depreciated matplotlib parameters:make_figurei just removed axisbghttps://matplotlib.org/api/api_changes.html#color-of-axes
plot_data_and_prediction, matplotlib'shistfunction parameternormed=Trueis replaced withdensity=Truehttps://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.histogram.html