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- a = 1.95
- b = 4.58
- location = 2.28
- scale = 411.99
- import numpy as np
- import scipy.stats as stats
- import matplotlib.pyplot as plt
- betaprime = stats.betaprime
- a, b, loc, scale = 1.95, 4.58, 2.28, 411.99
- size = 2782
- y = betaprime.rvs(a, b, loc, scale, size=size)
- param = betaprime.fit(Q1['OrderValue'], floc=0)
- pdf_fitted = betaprime.pdf(Q1['OrderValue'], *param)
- plt.plot(Q1['OrderValue'], pdf_fitted, color='b')
- plt.hist(y)
- plt.show()
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