graph2.py

import numpy as np 
import matplotlib.pyplot as plt 

y_2_4096 = np.mean([14.824,15.093,16.019,15.002,14.513])
y_4_4096 = np.mean([14.618,13.153,13.239,13.107,13.164])
y_8_4096 = np.mean([9.997,10.092,10.167,9.894,10.126])

y_2_8192 = np.mean([60.514,58.321,61.391,61.335,66.583])
y_4_8192 = np.mean([51.519,51.008,51.273,51.188,51.289])
y_8_8192 = np.mean([38.641,39.679,39.348,39.447,38.905])

y_2_2048 = np.mean([3.989,3.952,4.001,3.943,3.958])
y_4_2048 = np.mean([3.474,3.467,3.477,3.498,3.567])
y_8_2048 = np.mean([2.575,2.578,2.595,2.625,2.654])

y_2048 = np.array([y_2_2048,y_4_2048,y_8_2048])
y_4096 = np.array([y_2_4096,y_4_4096,y_8_4096])
y_8192 = np.array([y_2_8192,y_4_8192,y_8_8192])
x = [2,4,8]

plt.plot(x,y_2048,"r")
plt.plot(x,y_4096,"b")
plt.plot(x,y_8192,"g")
plt.xlabel("number of threads")
plt.ylabel("time")
plt.title("plot")
plt.legend(["N = 2048","N = 4096","N = 8192"])
plt.show()