def stats(path, options):
output = loadItems(path, options)
itemsCount = len(output.items)
if itemsCount > 0:
print("Found " + str(itemsCount) + " entries")
print("")
#display statistics
printStats(output)
#display graph
import plotStyle
i = 0
for someItems in output.stats.values():
clr = plotStyle.tableau20[i % len(plotStyle.tableau20)]
plt.plot(someItems, '-', color=clr)
i += 1
plotStyle.subplotStyle(plt.subplot(111))
plotStyle.style(plt)
if options.show:
plt.show()
else:
plt.savefig("out.png", bbox_inches="tight")
else:
print("No entries were found")
xses = numpy.arange(len(movesPerStrategy))
plotStyle.subplotStyle(plt.subplot(131))
plt.title('Moves')
plt.bar(xses, movesPerStrategy, color=plotStyle.tableau20, tick_label=namesPerStrategy, align="center")
plotStyle.subplotStyle(plt.subplot(132))
plt.title('Score')
plt.bar(xses, scorePerStrategy, color=plotStyle.tableau20, tick_label=namesPerStrategy, align="center")
plotStyle.subplotStyle(plt.subplot(133))
plt.title('Largest tile')
plt.bar(xses, largestTilePerStragegy, color=plotStyle.tableau20, tick_label=namesPerStrategy, align="center")
plotStyle.style(plt)
try:
mng = plt.get_current_fig_manager()
mng.window.state('zoomed')
except:
print "Unexpected error.."
plt.show()
if predictableStrategyLevelsStats:
fig = plt.figure(2)
predictableStrategyLevelsAvgStats = []
predictableStrategyLevelsAvgStats.append(0)
for level in xrange(1, 5):