zoeyyyzou
91 lines
3.8 KiB
Python
91 lines
3.8 KiB
Python
import csv
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import os
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import sys
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import numpy as np
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import matplotlib.pyplot as plt
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def getXY(fileName: str, target: str, faceId: str, quota: str):
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x = []
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y = []
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fileName = os.getcwd() + '/data/' + fileName
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with open(fileName, "r") as file:
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lines = file.readlines()
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beta = 0
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count = 0
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for line in lines:
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item = line.split("\t")
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if len(item) < 5:
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continue
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if item[1] == target and item[2] == faceId and item[4] == quota:
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if count % 1 == 0: # 这边修改采样间隔
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x.append(float(item[0]))
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if len(y) == 0:
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# 第一次添加
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y.append(float(item[6]) * 8/1000)
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else:
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# 指数加权平均
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v = beta * y[len(y) - 1] + (1 - beta) * float(item[6]) /1000 * 8
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y.append(v)
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count += 1
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return x, y
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if __name__ == '__main__':
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if len(sys.argv) != 3:
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print("Usage: python throughput_2.py <filename> <title>")
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exit(0)
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filename = sys.argv[1]
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x1, y1 = getXY(filename, "C1", "258", "OutData")
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x2, y2 = getXY(filename, "C2", "258", "OutData")
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x3, y3 = getXY(filename, "C3", "258", "OutData")
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y2 = [0.0 for _ in range(len(y1) - len(y2))] + y2
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y3 = [0.0 for _ in range(len(y1) - len(y3))] + y3
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x2 = x1[:len(x1) - len(x2)] + x2
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x3 = x1[:len(x1) - len(x3)] + x3
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totalX, totalY = [], []
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for i in range(len(x1)):
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totalX.append(x1[i])
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totalY.append(y1[i] + y2[i] + y3[i])
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print(f"C1: mean->{np.mean(y1).round(2)}, std->{np.std(y1).round(2)}")
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print(f"C2: mean->{np.mean(y2).round(2)}, std->{np.std(y2).round(2)}")
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print(f"C3: mean->{np.mean(y3).round(2)}, std->{np.std(y3).round(2)}")
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print(f"Total: mean->{np.mean(totalY).round(2)}, std->{np.std(totalY).round(2)}")
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plt.rc('font', family='Times New Roman')
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plt.rcParams['xtick.direction'] = 'in'
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plt.rcParams['ytick.direction'] = 'in'
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# 画实验2专用下面四行：
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l1 = plt.plot(x1, y1, 'tab:red', linewidth =1.0, label='C1 (EF)', linestyle='dotted', marker='D', markerfacecolor='none', markersize=4)
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l2 = plt.plot(x2, y2, 'tab:purple', linewidth =1.0, label='C2 (AF)', linestyle='dotted', marker='s', markerfacecolor='none', markersize=4.5)
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l3 = plt.plot(x3, y3, 'tab:blue', linewidth =1.0, label='C3 (BE)', linestyle='dotted', marker='^', markerfacecolor='none', markersize=4)
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l5 = plt.plot(totalX, totalY, 'k', linewidth =1.0, label='Total', linestyle='dotted', marker='o', markerfacecolor='none', markersize=4)
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# # 画实验3专用下面四行：
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# l1 = plt.plot(x1, y1, 'tab:red', linewidth=1.0, label='C1', linestyle='dotted', marker='D', markerfacecolor='none', markersize=4)
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# l2 = plt.plot(x2, y2, 'tab:purple', linewidth=1.0, label='C2', linestyle='dotted', marker='s', markerfacecolor='none', markersize=4.5)
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# l3 = plt.plot(x3, y3, 'tab:blue', linewidth=1.0, label='C3', linestyle='dotted', marker='^', markerfacecolor='none', markersize=4)
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# l5 = plt.plot(totalX, totalY, 'k', linewidth=1.0, label='Total', linestyle='dotted', marker='o', markerfacecolor='none', markersize=4)
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plt.xlim(0)
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my_x_ticks = np.arange(0, 61, 10)
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plt.xticks(my_x_ticks)
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plt.ylim(0)
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my_y_ticks = np.arange(0, 101, 10)
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plt.yticks(my_y_ticks)
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plt.title(sys.argv[2])
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plt.xlabel('Time (s)')
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plt.ylabel('Rate (Mbps)')
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plt.legend(loc=1, bbox_to_anchor=(1, 0.91))
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#plt.savefig(f"{filename}.svg", format='svg')
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# save pictures
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full_path = os.getcwd() + "/pictures_throughput/" + filename + ".pdf" # 将图片保存到当前目录，记得斜杠；可更改文件格式（.tif），不写的话默认“.png ”
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plt.savefig(full_path, dpi=960) # 存储路径+设置图片分辨率dpi=960
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