39 lines
974 B
Python
39 lines
974 B
Python
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import matplotlib.pyplot as plt
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import matplotlib.cbook as cbook
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import numpy as np
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import pandas as pd
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f1 = open('const_m_timings.csv', 'r')
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f2 = open('../10_memleak/const_m_timings.csv', 'r')
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x1 = []
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y1 = []
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for l,p in zip(f1.readlines(), f2.readlines()):
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l = l.split(',')
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p = p.split(',')
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x1.append(p[0])
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y1.append(float(p[1])/float(l[1]))
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f1 = open('const_Nm_timings.csv', 'r')
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f2 = open('../10_memleak/const_Nm_timings.csv', 'r')
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x2 = []
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y2 = []
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for l,p in zip(f1.readlines(), f2.readlines()):
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l = l.split(',')
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p = p.split(',')
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x2.append(p[0])
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y2.append(float(p[1])/float(l[1]))
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plt.plot(x1, y1, label = 'constant m')
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plt.plot(x2, y2, label = 'constant Nm')
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for i in range(len(x1)):
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plt.text(i,y1[i],f'{y1[i]:.2f}', color="blue")
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for i in range(len(x2)):
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plt.text(i,y2[i],f'{y2[i]:.2f}', color="orange")
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plt.title('Speedup after fixing leak')
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plt.xlabel('N')
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plt.ylabel('xspeedup')
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plt.grid()
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plt.legend()
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plt.show()
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