Gaussian process using noisy data training points

Thank you! I’ll give that a try. Also just as a sidenote I’m looking to represent this data in a more readable way for a report. I would like to get the sum of the mean points that the posterior sample has produced and then plot the difference between this and my actual data against number of samples taken. I imagine it will converge to a value of error between the two. Would you have any input on how to obtain the sum of the mean points? Sorry a bit of a beginner on python

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