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Nov 22nd, 2019
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Python 0.82 KB | None | 0 0
  1. #importando as paradas
  2. import numpy as np
  3. from statistics import mean
  4. import matplotlib.pyplot as plt
  5.  
  6. #carregando as paradas
  7. porra = np.load('dois_processos_do_alunx_201706840005.npz')
  8. p1 = porra['X1']
  9. p2 = porra['X2']
  10.  
  11. #fazendo as paradas
  12. def media_tempo(px, hell):
  13.     pm = []
  14.    
  15.     for i in range(190):
  16.         pm.append(mean(px[:,i]))
  17.  
  18.     # x axis values
  19.     x = [i/4 for i in range(len(pm))]
  20.     # corresponding y axis values
  21.     y = pm
  22.  
  23.     # plotting the points  
  24.     plt.plot(x, y)
  25.  
  26.     # naming the x axis
  27.     plt.xlabel('time')
  28.     # naming the y axis
  29.     plt.ylabel('m(t)')
  30.  
  31.     # giving a title to my graph
  32.     plt.title(hell)
  33.  
  34.     # function to show the plot
  35.     plt.show()
  36.    
  37. def tri_real(px, i1, i2, i3):
  38.    
  39. media_tempo(p1, 'process 1')
  40. media_tempo(p2, 'process 2')
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