1+ import numpy as np
2+ import pylab as p
3+
4+ #design variables
5+ # hl.Mach_bypass = .95
6+ # hl.Mach_pod_max = .90
7+ # hl.Mach_c1_in = .65
8+ # hl.c1_PR_des = 13
9+
10+ # #initial guesses
11+ # hl.compress.W_in = .35
12+ # hl.flow_limit.radius_tube = hl.pod.radius_tube_inner = 178
13+ # hl.compress.Ts_tube = hl.flow_limit.Ts_tube = hl.tube_wall_temp.tubeWallTemp = 322
14+ # hl.compress.c2_PR_des = 5
15+
16+ #Mach, Battery Energy, Comp Energy/s, Time
17+
18+ data = np .array ([
19+ [0.69999999999999996 , 0.70999999999999996 , 0.71999999999999997 , 0.72999999999999998 , 0.73999999999999999 , 0.75 , 0.76000000000000001 , 0.77000000000000002 , 0.78000000000000003 , 0.79000000000000004 , 0.80000000000000004 , 0.81000000000000005 , 0.82000000000000006 , 0.83000000000000007 , 0.84000000000000008 , 0.85000000000000009 , 0.8600000000000001 , 0.87000000000000011 , 0.88000000000000012 , 0.89000000000000012 , 0.90000000000000013 , 0.91000000000000014 , 0.92000000000000015 , 0.93000000000000016 ],
20+ [425.64734534294513 , 419.65424475203628 , 413.82772409685742 , 408.16094022060747 , 402.64742075574082 , 397.28103790778948 , 392.05598627110015 , 386.96676904786113 , 382.00815317806808 , 377.1751865322513 , 372.46316034132201 , 367.86760002503087 , 363.38424705208229 , 359.00904154735571 , 354.73813422797747 , 350.56784050845937 , 346.49464897789539 , 342.51522233298749 , 338.62635318664013 , 334.82501553606085 , 331.1082699045225 , 327.47334674417999 , 323.91756978015695 , 320.43839279530488 ],
21+ [345.33770199869105 , 346.5392280454048 , 347.77005182839076 , 349.03173094706352 , 350.32484572200718 , 351.6500050517148 , 353.00781977374407 , 354.399264528071 , 355.82499428958067 , 357.28562569758549 , 358.78210283805197 , 360.31530103162191 , 361.88440156468499 , 363.49217031265931 , 365.13789903116964 , 366.82390861203487 , 368.54951824043007 , 370.31660813514264 , 372.13130119605955 , 373.97719159650512 , 375.8732069051859 , 377.81270605751422 , 379.79821127671244 , 381.83106344615129 ],
22+ [2806.4660132501872 , 2766.9510642991399 , 2728.5344445946644 , 2691.1710344215876 , 2654.8181588290604 , 2619.4354147766339 , 2584.9845248643965 , 2551.429246469414 , 2518.7350758993498 , 2486.8693617511071 , 2455.8010571955297 , 2425.500659505698 , 2395.9400904532899 , 2367.0925816309168 , 2338.9327531514996 , 2311.4363110447871 , 2284.5801031509586 , 2258.3421252724447 , 2232.7012298020227 , 2207.6374650729285 , 2183.1314499199289 , 2159.164923588 , 2135.7202403087272 , 2112.780611837175 ]
23+ ])
24+
25+ fig , ax = p .subplots ()
26+ # Twin the x-axis twice to make independent y-axes.
27+ axes = [ax , ax .twinx (), ax .twinx ()]
28+ # Make some space on the right side for the extra y-axis.
29+ fig .subplots_adjust (right = 0.75 )
30+ # Move the last y-axis spine over to the right by 20% of the width of the axes
31+ axes [- 1 ].spines ['right' ].set_position (('axes' , 1.2 ))
32+ # To make the border of the right-most axis visible, we need to turn the frame
33+ # on. This hides the other plots, however, so we need to turn its fill off.
34+ axes [- 1 ].set_frame_on (True )
35+ axes [- 1 ].patch .set_visible (False )
36+ # And finally we get to plot things...
37+ colors = ('Green' , 'Red' , 'Blue' )
38+ index = [1 , 2 , 3 ]
39+
40+ for i , ax , color in zip (index , axes , colors ):
41+ if i == 1 :
42+ ax .plot (data [0 ],data [1 ], color = color , lw = 3 )
43+ ax .set_ylabel ('Battery Size (kW-hr)' , color = color , fontsize = 18 )
44+ ax .set_ylim ([0 ,450 ])
45+ if i == 2 :
46+ ax .plot (data [0 ],data [2 ], color = color , lw = 3 )
47+ ax .set_ylabel ('Compressor Power Req (kW)' , color = color , fontsize = 18 )
48+ ax .set_ylim ([0 ,450 ])
49+ if i == 3 :
50+ ax .plot (data [0 ],data [3 ], color = color , lw = 3 )
51+ ax .set_ylabel ('Total Mission Time' , color = color , fontsize = 18 )
52+ ax .set_ylim ([0 ,3000 ])
53+ ax .tick_params (axis = 'y' , colors = color )
54+ axes [0 ].set_xlabel ('Max Pod Mach' , fontsize = 18 )
55+
56+ #p.tick_params(axis='both', which='major', labelsize=15)
57+
58+ #p.ylabel('Battery', fontsize=18)
59+ #p.title('Battery vs Max Pod Mach', fontsize=20)
60+ #p.plot(data[0],data[1], label="Tube (c1MN = .65)", lw=3)
61+ #p.xlim([0.65,0.95])
62+ #p.ylim([0,450])
63+ #ax2 = p.twinx()
64+ #ax2.plot(data[0],data[3], label="Tube", lw=3)
65+ #ax2.set_ylabel('Total time')
66+ p .legend (loc = "best" )
67+
68+ #p.gcf().set_size_inches(11,5.5)
69+ #p.gcf().savefig('test2png.png',dpi=130)
70+ p .show ()
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