plot_results.py

import matplotlib.pyplot as plt
from math import pi

#if your output looks like this:
#FINAL RESULTS:
#Accuracy, CSDC, PC, DC, Distractability, Background independence, SD, TS
#0.998   0.7353  0.602   0.532   0.54372 0.99826 0.54592 0.806
#Best threshold: 0.01620253164556962
#set results accordingly
results = [0.998, 0.7353, 0.602, 0.532, 0.54372, 0.99826, 0.54592, 0.806] # SET YOUR VALUES HERE
acc = results[0]
bi = results[5]
com = ((results[1]+results[2]+results[3])/3 + results[4]) / 2
cor = results[6]
con = results[7]
results = [acc, bi, com, cor, con]

ax = plt.subplot(111, polar=True)

categories = ['Acc.', 'B.I.', 'Com.', 'Cor.', 'Con.']

N = len(categories)

# We are going to plot the first line of the data frame.
# But we need to repeat the first value to close the circular graph:
average = sum(results[2:]) / len(results[2:])
results += results[:1]

# What will be the angle of each axis in the plot? (we divide the plot / number of variable)
angles = [n / float(N) * 2 * pi for n in range(N)]
angles += angles[:1]

ax.text(0, 0, (str(round(average, 2)) + '0')[1:4], horizontalalignment='center',
        verticalalignment='center', size=18)
# Initialise the spider plot
#ax = plt.subplot(111, polar=True)

# Draw one axe per variable + add labels
#ax.set_xticks(angles[:-1], categories, color='grey', size=8)
ax.set_xticks(angles[:-1], minor=False)
ax.set_xticklabels(categories, fontdict=None, minor=False)

# Draw ylabels
# Draw ylabels
ax.set_rlabel_position(36)
ax.set_yticks([0.5, 1])
ax.set_ylim(0,1)

color_string = '#555599'
# Plot data
ax.plot(angles, results, linewidth=1, linestyle='solid', color=color_string)
# Fill area
ax.fill(angles, results, color_string, alpha=0.2)


plt.savefig("plot.png", bbox_inches='tight', dpi=300)