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

1"An example to show off Breakdowns" 

2import os 

3import sys 

4import pickle 

5from gpkit.breakdowns import Breakdowns 

6 

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

8filepath = os.path.dirname(os.path.realpath(__file__)) + os.sep + "solar.p" 

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

10bds = Breakdowns(sol) 

11 

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

13print("==============") 

14try: 

15 bds.plot("cost") 

16except AttributeError: # if the pint version differs from the pickled solution 

17 sys.exit(0) 

18 

19print("Variable breakdowns (note the two methods of access)") 

20print("===================") 

21varkey, = sol["variables"].keymap[("Mission.FlightSegment.AircraftPerf" 

22 ".AircraftDrag.Poper")] 

23bds.plot(varkey) 

24bds.plot("AircraftPerf.AircraftDrag.MotorPerf.Q") 

25 

26print("Combining the two above by increasing maxwidth") 

27print("----------------------------------------------") 

28bds.plot("AircraftPerf.AircraftDrag.Poper", maxwidth=105) 

29 

30print("Model sensitivity breakdowns (note the two methods of access)") 

31print("============================") 

32bds.plot("model sensitivities") 

33bds.plot("Aircraft") 

34 

35print("Exhaustive variable breakdown traces (and configuration arguments)") 

36print("====================================") 

37# often useful as a reference point when reading traces 

38bds.plot("AircraftPerf.AircraftDrag.Poper", height=12) 

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

40bds.plot("AircraftPerf.AircraftDrag.Poper", showlegend=True) 

41print("\nPermissivity = 2 (the default)") 

42print("----------------") 

43bds.trace("AircraftPerf.AircraftDrag.Poper") 

44print("\nPermissivity = 1 (stops at Pelec = v·i)") 

45print("----------------") 

46bds.trace("AircraftPerf.AircraftDrag.Poper", permissivity=1) 

47 

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

49fig = bds.treemap("model sensitivities", returnfig=True) 

50fig = bds.icicle("cost", returnfig=True) 

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

52# bds.icicle("model sensitivities") 

53# bds.treemap("cost")