Summary plots

trappy.summary_plots() shows all the relevant (for the power allocator governor) plots for a particular run.

First some hacks to allow importing trappy from here



In [1]:

    
import sys
sys.path.append("..")



In [2]:

    
%pylab inline
import trappy









    



Populating the interactive namespace from numpy and matplotlib

For a description of map_label and actor_order see the compare runs notebook.



In [3]:

    
map_label = {"00000000,00000006": "big", "00000000,00000039": "LITTLE"}
actor_order = ["GPU", "big", "LITTLE"]



In [4]:

    
trappy.summary_plots(actor_order, map_label, path="./trace.txt")



In [4]: