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Nov 22nd, 2017
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  1. a = 1.95
  2. b = 4.58
  3. location = 2.28
  4. scale = 411.99
  5.  
  6. import numpy as np
  7. import scipy.stats as stats
  8. import matplotlib.pyplot as plt
  9.  
  10. betaprime = stats.betaprime
  11. a, b, loc, scale = 1.95, 4.58, 2.28, 411.99
  12. size = 2782
  13. y = betaprime.rvs(a, b, loc, scale, size=size)
  14.  
  15. param = betaprime.fit(Q1['OrderValue'], floc=0)
  16. pdf_fitted = betaprime.pdf(Q1['OrderValue'], *param)
  17. plt.plot(Q1['OrderValue'], pdf_fitted, color='b')
  18.  
  19. plt.hist(y)
  20. plt.show()
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