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  1. data = [[0, 0, 0, 0.4], [31.7, 9, 26, 2], [67, 28, 81, 1.7], [68, 29, 83, 1.7],
  2.         [70.5, 30, 86, 1.7], [117.6, 56, 140, 1.3], [147, 72, 163, 1.1],
  3.         [157, 77, 169, 1.1], [164, 81, 173, 1.1], [180, 89, 179, 1.0],
  4.         [204.4, 134, 186, 3.6], [235, 227, 188, 3.6], [238, 236, 188, 3.6], [263.6, 355, 186, 8.1]]
  5.  
  6. # https://space.stackexchange.com/questions/24754/why-jaxas-tilted-launch-from-a-tilted-rooftop
  7. # https://www.youtube.com/watch?v=jBUFNgLrykc
  8.  
  9. import numpy as np
  10. import matplotlib.pyplot as plt
  11.  
  12. secs, downrange, altitude, velocity = np.array(data).T
  13.  
  14. plt.figure()
  15. plt.subplot(2, 1, 1)
  16. plt.plot(downrange, altitude)
  17. plt.plot(downrange, altitude, 'ok')
  18. plt.title('altitude versus downrange distances (km)', fontsize=16)
  19.  
  20. plt.subplot(4, 1, 3)
  21. plt.plot(secs, downrange)
  22. plt.plot(secs, downrange, 'ok')
  23. plt.plot(secs, altitude)
  24. plt.plot(secs, altitude, 'ok')
  25. plt.title('altitude & downrange distances (km) versus time (sec)', fontsize=16)
  26.  
  27. plt.subplot(4, 1, 4)
  28. plt.plot(secs, velocity, 'ok')
  29. plt.title('velocity (km/s) versus time (sec)', fontsize=16)
  30. plt.show()
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