Coverage for docs\source\examples\breakdowns.py: 0%

1"An example to show off Breakdowns" 

2import os 

3import pickle 

4from gpkit.breakdowns import Breakdowns 

5 

6# the code to create solar.p is in ./breakdowns/solartest.py 

7filepath = os.path.dirname(os.path.realpath(__file__)) + os.sep + "solar.p" 

8print(filepath) 

9sol = pickle.load(open(filepath, "rb")) 

10bds = Breakdowns(sol) 

11 

12print("Cost breakdown (you may be familiar with this from solution tables)") 

13print("==============") 

14bds.plot("cost") 

15 

16print("Variable breakdowns (note the two methods of access)") 

17print("===================") 

18varkey, = sol["variables"].keymap[("Mission.FlightSegment.AircraftPerf" 

19 ".AircraftDrag.Poper")] 

20bds.plot(varkey) 

21bds.plot("AircraftPerf.AircraftDrag.MotorPerf.Q") 

22 

23print("Combining the two above by increasing maxwidth") 

24print("----------------------------------------------") 

25bds.plot("AircraftPerf.AircraftDrag.Poper", maxwidth=105) 

26 

27print("Model sensitivity breakdowns (note the two methods of access)") 

28print("============================") 

29bds.plot("model sensitivities") 

30bds.plot("Aircraft") 

31 

32print("Exhaustive variable breakdown traces (and configuration arguments)") 

33print("====================================") 

34# often useful as a reference point when reading traces 

35bds.plot("AircraftPerf.AircraftDrag.Poper", height=12) 

36# includes factors, can be useful for reading traces as well 

37bds.plot("AircraftPerf.AircraftDrag.Poper", showlegend=True) 

38print("\nPermissivity = 2 (the default)") 

39print("----------------") 

40bds.trace("AircraftPerf.AircraftDrag.Poper") 

41print("\nPermissivity = 1 (stops at Pelec = v·i)") 

42print("----------------") 

43bds.trace("AircraftPerf.AircraftDrag.Poper", permissivity=1) 

44 

45# you can also produce Plotly treemaps/icicle plots of your breakdowns 

46fig = bds.treemap("model sensitivities", returnfig=True) 

47fig = bds.icicle("cost", returnfig=True) 

48# uncommenting any of the below makes and shows the plot directly 

49# bds.icicle("model sensitivities") 

50# bds.treemap("cost")