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symbolic-automata-research/IncrementalMinimization/scripts/generate_line_graph.py
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import matplotlib.pyplot as pyplot | |
import sys | |
''' | |
Generates standard line graph for comparison of runtimes. | |
Could be improved for better/smoother visualization | |
''' | |
xAxis = "Number of States" | |
yAxis = "Average Minimization Time (ms)" | |
title = "Comparison of Incremental Algorithms" | |
scale = "log" | |
testsfile = sys.argv[1] | |
xIndex = int(sys.argv[2]) | |
graph_indices = [int(i) for i in sys.argv[3:-1]] | |
cutoff = int(sys.argv[-1]) | |
def toNum(s): | |
if s.isdigit(): | |
return int(s) | |
else: | |
return float(s)/1000 | |
def mergeData(data, index): | |
data.sort(key = lambda x: x[index]) | |
new_data = [] | |
count = 1 | |
for row in data: | |
if new_data and new_data[-1][index] == row[index]: | |
old_row = new_data[-1] | |
count += 1 | |
for i in range(0, len(old_row)): | |
if i != index: | |
old_row[i] += (row[i] - old_row[i])/float(count) #running average | |
else: | |
count = 1 | |
new_data.append(row) | |
return new_data | |
with open(testsfile, "r") as f: | |
fStrings = f.read().split('\n') | |
title_row = fStrings[0].split(',') | |
fData = [[toNum(datum) for datum in row.split(',') if datum] | |
for row in fStrings[1:] if row] | |
average_mins = [] | |
for row in fData: | |
if row[0] <= 400 and row[0] != row[1]: | |
average_mins.append(row[1]/float(row[0])) | |
print("average") | |
print(sum(average_mins)/len(average_mins)) | |
fData = mergeData(fData, xIndex) | |
lineStyles = ['-','--',':',':'] #Different line style markers | |
xData = [row[xIndex] for row in fData if row[xIndex] <= cutoff] | |
style_num = 0 | |
for i in graph_indices: | |
assert(style_num < len(lineStyles)) | |
graphData = [row[i] for row in fData[:len(xData)]] | |
pyplot.plot(xData, graphData, label=title_row[i], linestyle=lineStyles[style_num], linewidth=1.0) | |
style_num += 1 | |
pyplot.yscale(scale) | |
pyplot.legend(loc=4) | |
pyplot.xlabel(xAxis) | |
pyplot.ylabel(yAxis) | |
pyplot.title(title) | |
pyplot.savefig("graph.png", dpi=600) |