so-tp1/scripts/plotter.py

#!/usr/bin/env python
# a bar plot with errorbars
import numpy as np
import matplotlib.pyplot as plt

cMeans=(0.00163314,0.0030878,0.00756769,0.0714377,1.13022)
cStd=(0.000345353,0.000641013,0.00106808,0.00224826,0.0172249)
asmMeans1=(0.00125512,0.00198333,0.00841489,0.0665831,1.15417)
asmStd1=(0.000259477,0.000390865,0.000991933,0.00100535,0.0327828)
asmMeans2=(0.00125345,0.0014143,0.00290749,0.0199608,0.389258)
asmStd2=(0.000268301,0.000549018,0.000486762,0.00257161,0.0221019)


#merge
cMeans= (0.00124538,0.00128132,0.00121279,0.0030127,0.0205496)
cStd= (0.000209686,0.000236924,0.000278824,0.000512202,0.0016461)
asmMeans1= (0.0012121,0.00121418,0.00125287,0.00254286,0.0164427)
asmStd1= (0.000191275,0.000190012,0.000139698,0.00044915,0.00159364)
asmMeans2= (0.00119275,0.00130064,0.00114465,0.00240577,0.0149295)
asmStd2= (0.000220732,0.000188047,0.000178148,0.000391202,0.00173487)

tams = [ 1, 4, 16, 64, 1024 ]

cMeans		= tuple( i / tams[cMeans.index(i)] for i in cMeans)
asmMeans1	= tuple( i / tams[asmMeans1.index(i)] for i in asmMeans1)
asmMeans2	= tuple( i / tams[asmMeans2.index(i)] for i in asmMeans2)
cStd		= tuple( i / tams[cStd.index(i)] for i in cStd)
asmStd1		= tuple( i / tams[asmStd1.index(i)] for i in asmStd1)
asmStd2		= tuple( i / tams[asmStd2.index(i)] for i in asmStd2)


n_groups = len(cMeans)

fig, ax = plt.subplots()

index = np.arange(n_groups)
bar_width = 0.25

opacity = 0.6
error_config = {'ecolor': '0.3'}

rects1 = plt.bar(index, cMeans, bar_width,
                 alpha=opacity,
                 color='b',
                 yerr=cStd,
                 error_kw=error_config,
                 label='C')

rects2 = plt.bar(index + bar_width, asmMeans1, bar_width,
                 alpha=opacity,
                 color='r',
                 yerr=asmStd1,
                 error_kw=error_config,
                 label='ASM1')

rects3 = plt.bar(index + 2*bar_width, asmMeans2, bar_width,
                 alpha=opacity,
                 color='g',
                 yerr=asmStd2,
                 error_kw=error_config,
                 label='ASM2')

plt.xlabel('Tamano')
plt.ylabel('Tiempo')
plt.title('Tiempo de ejecucion por pixel')
plt.xticks(index + bar_width, (16,32,64,256,1024))
plt.legend()

plt.tight_layout()
plt.show()