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Feb 12th, 2020
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  1. #1.1-1.2
  2. from scipy.special import gamma, factorial
  3. import matplotlib.pyplot as plt
  4. import numpy as np
  5. from scipy.stats import norm
  6.  
  7.  
  8.  
  9. x = np.linspace(-3.5, 5.5, 2251)
  10. y = gamma(x)
  11. plt.plot(x, y, 'b', alpha=0.6, label='gamma(x)')
  12. plt.xlim(-3.5, 5.5)
  13. plt.ylim(-10, 25)
  14. plt.grid()
  15. plt.xlabel('x')
  16. plt.legend(loc='lower right')
  17. plt.show()
  18.  
  19. X1 = norm(5,2)
  20. x1 = np.linspace(-0, 10, 1000)
  21. y1= X1.pdf(x1)
  22. plt.plot(x1, y1, "k-")
  23. plt.show()
  24.  
  25. X2 = norm(5,2)
  26. x2 = np.linspace(-0, 10, 1000)
  27. y2= X2.cdf(x2)
  28. plt.plot(x2, y2, "k-")
  29. plt.show()
  30.  
  31. X3 = norm(5,2)
  32. x3 = np.linspace(-0, 10, 1000)
  33. y3= X3.sf(x3)
  34. plt.plot(x3, y3, "k-")
  35. plt.show()
  36.  
  37. X4 = norm(5,2)
  38. x4 = np.linspace(-0, 10, 1000)
  39. y4= X4.ppf(x4)
  40. plt.plot(x4, y4, "k-")
  41. plt.show()
  42.  
  43. X5 = norm(5,2)
  44. x5 = np.linspace(-0, 10, 1000)
  45. y5= X5.isf(x5)
  46. plt.plot(x5, y5, "k-")
  47. plt.show()
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