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

1"An example to show off Breakdowns" 

2import os 

3import pickle 

4import pint 

5from gpkit.breakdowns import Breakdowns 

6 

7if pint.__version__.split(".") >= ["0", "9"]: 

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

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

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

11 bds = Breakdowns(sol) 

12 

13 print("Cost breakdown (as seen in solution tables)") 

14 print("==============") 

15 bds.plot("cost") 

16 

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

18 print("===================") 

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

20 ".AircraftDrag.Poper")] 

21 bds.plot(varkey) 

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

23 

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

25 print("----------------------------------------------") 

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

27 

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

29 print("============================") 

30 bds.plot("model sensitivities") 

31 bds.plot("Aircraft") 

32 

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

34 print("====================================") 

35 # often useful as a reference point when reading traces 

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

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

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

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

40 print("----------------") 

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

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

43 print("----------------") 

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

45 

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

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

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

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

50 # bds.icicle("model sensitivities") 

51 # bds.treemap("cost")