Dave Foote

I think the error vector for a moment like mean would just be the differences in means, but if its a large amount of arbitrary bins we have to calculate...

This model moments function gave me 41 zeros and a 1 as my model moments

Wednesday @ 9:50 please

Like how would "dividing a bar's percentage" work? In the data before I plot?

counts, _, _ = plt.hist(...) plt.close() # Don't want the plot from plt.hist for n, Y in enumerate(counts): X = [n*.3 + x for x in range(len(Y))] # position bars...

2:30 if I could

I just messaged you.