31 lines
698 B
Python
31 lines
698 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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f = open('elongation.csv', 'r')
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x = []
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y_average = []
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y_extreme = []
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for l in f.readlines():
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l = l.split(',')
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x.append(l[0])
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y_average.append(float(l[1]))
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y_extreme.append(float(l[2]))
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plt.plot(x, y_average, label = 'average')
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plt.plot(x, y_extreme, label = 'extreme')
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for i in range(len(x)):
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plt.text(i,y_average[i],f'{y_average[i]:.2f}', color="blue")
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for i in range(len(x)):
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plt.text(i,y_extreme[i],f'{y_extreme[i]:.2f}', color="orange")
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plt.title('Speedup after optimization')
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plt.xlabel('N')
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plt.ylabel('elongation')
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plt.grid()
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plt.legend()
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plt.show()
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