import matplotlib.pyplot as plt import csv import numpy as np def readCSV(file_name, delimiter=','): file = csv.DictReader(open(file_name), delimiter=delimiter) return list([row for row in file]) def plot(name, subplot, file_name): rows = readCSV('output/{}'.format(file_name)) max_delta = [float(row['max_delta_ECA']) for row in rows] def get_datas(solver_name): return ([float(row['budget_percent']) for row in rows], [float(row[solver_name]) / float(row['opt_delta_ECA']) for row in rows]) # return ([float(row['budget_percent']) for row in rows], [(float(row[solver_name]) - float(row['bogo_avg_delta_ECA'])) / (float(row['opt_delta_ECA']) - float(row['bogo_avg_delta_ECA'])) for row in rows]) datas = [ (("static decremental", "v--"), get_datas('naive_dec_delta_ECA')), (("static incremental", "^--"), get_datas('naive_inc_delta_ECA')), (("decremental greedy", "v-"), get_datas('glutton_dec_delta_ECA')), (("incremental greedy", "^-"), get_datas('glutton_inc_delta_ECA')), (("optimal", "s-"), get_datas('opt_delta_ECA')) ] subplot.set_title(name) for ((label,linestyle),(xdatas,ydatas)) in datas: subplot.plot(xdatas, ydatas, linestyle, label=label, markersize=3.25) fig, axs = plt.subplots(2, 2) plot("Aude", axs[0, 0], "qos_aude.csv") plot("Montreal", axs[0, 1], "qos_quebec.csv") plot("BiorevAix", axs[1, 0], "qos_biorevaix.csv") plot("Marseille", axs[1, 1], "qos_marseille.csv") axs[0, 0].set(xlabel=None, ylabel='optimum ratio') axs[0, 1].set(xlabel=None, ylabel=None) axs[1, 0].set(xlabel='budget percent', ylabel='optimum ratio') axs[1, 1].set(xlabel='budget percent', ylabel=None) fig.subplots_adjust(bottom=0.3, wspace=0.2, hspace=0.35) axs.flatten()[-2].legend(loc='upper center', bbox_to_anchor=(1.05, -0.35), ncol=3) fig.set_size_inches(8,6) plt.rcParams.update({'font.size': 18}) # plt.tight_layout() plt.savefig("figures/optimum_ratios.pdf", dpi=500) # plt.show()