iMFAnt/plotting_scripts/plotter_comp_time.py at main · necst/iMFAnt · GitHub

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#!/usr/bin/python3

import sys

import codecs

import subprocess

import threading

import os

import pandas as pd

import matplotlib.pyplot as plt

import numpy as np

import shutil

import math

#plt.rcParams.update({'font.sans-serif':'Helvetica','font.size':16})

inputRE = [

"../mfsa/bro_",

"../mfsa/dotstar09_",

"../mfsa/poweren_",

"../mfsa/protomata_",

"../mfsa/ranges1_",

"../mfsa/tcp_"

]

palette = ["#f0f9e8",

"#bae4bc",

"#7bccc4",

"#43a2ca",

"#0868ac"]

m = [1, 10, 50,100,0]

names = []

plot = []

fend=[]

cv = []

m1=[]

m2=[]

bend=[]

m_plot = []

for f in inputRE:

for mm in m:

file = open(f+str(mm)+"/compilation_time.txt", "r")

m_plot.append(mm)

if(mm<10 and mm!=0):

names.append(f.split("/")[1].split("_")[0]+",M00"+str(mm))

elif(mm==0):

names.append(f.split("/")[1].split("_")[0]+",Mall")

elif (mm<100):

names.append(f.split("/")[1].split("_")[0]+",M0"+str(mm))

else:

names.append(f.split("/")[1].split("_")[0]+",M"+str(mm))

l = file.readline()

fend.append(float(l.split(",")[0])/1000)

cv.append(float(l.split(",")[1])/1000)

m1.append(float(l.split(",")[2])/1000)

m2.append(float(l.split(",")[3])/1000)

bend.append(float(l.split(",")[4])/1000)

plt = plt.figure()

df = pd.DataFrame({'dataset': names, 'FE':fend,'AST to FSA':cv,'ME-single': m1, 'ME-merging': m2, 'BE': bend})

df.to_csv("../raw_results/compilation_time.csv", index=False)

print(df)

names = ["BRO,M1","BRO,M10","BRO,M50","BRO,M100","BRO,Mall",

"DS9,M1","DS9,M10","DS9,M50","DS9,M100","DS9,Mall",

"PEN,M1","PEN,M10","PEN,M50","PEN,M100","PEN,Mall",

"PRO,M1","PRO,M10","PRO,M50","PRO,M100","PRO,Mall",

"RG1,M1","RG1,M10","RG1,M50","RG1,M100","RG1,Mall",

"TCP,M1","TCP,M10","TCP,M50","TCP,M100","TCP,Mall"

]

df['dataset'] = names

fig = df.plot.bar(x='dataset', y=['FE', 'AST to FSA','ME-single','ME-merging','BE'],

stacked=True, color=palette, rot=70,

logy=True,

edgecolor='black', linewidth=0.4, width=1, figsize=(10,4), ylim=(10**-1,90000),

xlabel='Datasets', ylabel='Time [ms] - log. scale')

fig.legend(loc='upper center',framealpha=1, ncol=5, fontsize=13, bbox_to_anchor=(0.5, 1))

fig.figure.savefig("../plots/compilation_time.pdf", bbox_inches = 'tight')

iMFAnt/plotting_scripts/plotter_comp_time.py at main · necst/iMFAnt · GitHub

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