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# Untitled

a guest Oct 21st, 2017 55 Never
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1. import numpy as np
2.
3. x = np.array([0.0341, 0.0174, 0.0185, 0.0131, 0.0096])  #Rates of trees planted
4. y = np.array([0.0115, 0.0073, 0.0056, 0.0082, 0.0105])  #Rates of trees destroyed
5.
6. a = np.array([365, 2036, 285, 226, 460])  #Number of trees in 1975
7. b = np.array([471, 2494, 361, 251, 485])  #Number of trees in 1985
8. c = np.array([622, 2976, 441, 278, 499])  #Number of trees in 1995
9. d = np.array([803, 3435, 523, 314, 514])  #Number of trees in 2005
10. e = np.array([1013, 3827, 592, 344, 522])  #Number of trees in 2015
11.
12. ax = sum(a*x*1000)
13. print ('The number of trees planted in 1975 was', ax)
14.
15. bx = sum(b*x*1000)
16. print ('The number of trees planted in 1985 was', bx)
17.
18. cx = sum(c*x*1000)
19. print ('The number of trees planted in 1995 was', cx)
20.
21. dx = sum(d*x*1000)
22. print ('The number of trees planted in 2005 was', dx)
23.
24. ex = sum(e*x*1000)
25. print ('The number of trees planted in 2015 was', ex)
26.
27. print()
28.
29. ay = sum(a*y*1000)
30. print ('The number of trees destroyed in 1975 was', ay)
31.
32. by = sum(b*y*1000)
33. print ('The number of trees destroyed in 1985 was', by)
34.
35. cy = sum(c*y*1000)
36. print ('The number of trees destroyed in 1995 was', cy)
37.
38. dy = sum(d*y*1000)
39. print ('The number of trees destroyed in 2005 was', dy)
40.
41. ey = sum(e*y*1000)
42. print ('The number of trees destroyed in 2015 was', ey)
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