I'm using the function "efficiencies" in rep/rep/classification.py, which returns a GridPlot which contains a list of ErrorPlot objects.
The default axis range and general layout of the plots are not what I want. I need to access the matplotlib objects so that I can redraw them using my own options and call functions like:
plt.xscale('log')plt.xlim(0,10)
How do I get these objects back from the GridPlot and ErrorPlot plot() member functions? From the source code it seems like they are never saved as class atributes or passed back to the user.
I also tried the code below, but this doesn't do anything to the efficiency plots:
I'm using the function "efficiencies" in rep/rep/classification.py, which returns a GridPlot which contains a list of ErrorPlot objects.
The default axis range and general layout of the plots are not what I want. I need to access the matplotlib objects so that I can redraw them using my own options and call functions like:
plt.xscale('log')plt.xlim(0,10)How do I get these objects back from the GridPlot and ErrorPlot plot() member functions? From the source code it seems like they are never saved as class atributes or passed back to the user.
I also tried the code below, but this doesn't do anything to the efficiency plots:
plt.figure()plt.xscale('log')sig_eff = report.efficiencies(uniform_features, bins=30,labels_dict={1: 'signal'},errors=True)sig_eff.plot()