1"""
2Created on Jul 8, 2014
3
4@author: jhkwakkel@tudelft.net
5"""
6
7import matplotlib.pyplot as plt
8
9from ema_workbench import ema_logging, load_results
10from ema_workbench.analysis import lines, Density
11
12ema_logging.log_to_stderr(ema_logging.INFO)
13
14file_name = r"./data/1000 flu cases no policy.tar.gz"
15experiments, outcomes = load_results(file_name)
16
17# the plotting functions return the figure and a dict of axes
18fig, axes = lines(experiments, outcomes, density=Density.VIOLIN)
19
20# we can access each of the axes and make changes
21for key, value in axes.items():
22 # the key is the name of the outcome for the normal plot
23 # and the name plus '_density' for the endstate distribution
24 if key.endswith("_density"):
25 value.set_xscale("log")
26
27plt.show()