python的pyplot画折线图_pyplot 拆线-优快云博客

本文链接：https://blog.youkuaiyun.com/langqunxianfeng/article/details/122610206

本文介绍了一个使用Python脚本从日志文件中读取数据并绘制负载变化折线图的方法。通过解析日志文件中的特定模式，该脚本能够提取时间戳和负载百分比数据，并利用matplotlib库生成清晰直观的图表。

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python3，脚本挂日志就能生成折线图

import numpy as np
import matplotlib.pyplot as plt
import sys
import re

x = []
y = []
x_start = 0
x_step = 5

fp =open(sys.argv[1], 'rb')
for line in fp.readlines():
    text = line.decode()
    if "%," in text:
        #print(re.findall(r"(\d+)%",text)[0])
        x.append(int(x_start))
        x_start += x_step
        y.append(int(re.findall(r"(\d+)%",text)[0]))#取%号前的数字
    elif "interval time:" in text:
        x_step = int(re.findall(r"(\d+).",text)[0])#取小数
        print(x_step)
#print("x:"+str(x))
#print("y:"+str(y))

plt.ylim(0,100)

my_x_ticks = np.arange(0, x_start, 10)
my_y_ticks = np.arange(0, 100, 5)
plt.xticks(my_x_ticks)
plt.yticks(my_y_ticks)

plt.plot(x,y,'r--')
plt.plot(x,y,'ro-')

plt.title('load graph')
plt.xlabel('time(s)')
plt.ylabel('load(%)')
plt.grid(linestyle='-.')
plt.show()

interval time: 5.0, duration time: 100000

01-01-1970 00:04:32:   8%, < 25, 16,  9,  4,  2,  0,  0>
01-01-1970 00:04:37:   7%, < 25, 16,  8,  4,  2,  0,  0>
01-01-1970 00:04:42:   7%, < 23, 15,  8,  4,  1,  0,  0>
01-01-1970 00:04:47:   7%, < 24, 15,  9,  4,  1,  0,  0>
01-01-1970 00:04:52:   7%, < 25, 16,  8,  4,  1,  0,  0>
01-01-1970 00:04:57:   7%, < 24, 16,  8,  4,  1,  0,  0>
01-01-1970 00:05:02:   7%, < 23, 15,  8,  4,  1,  0,  0>
01-01-1970 00:05:07:   8%, < 25, 16,  9,  4,  1,  1,  0>
01-01-1970 00:05:12:   8%, < 25, 16,  9,  5,  2,  0,  0>
01-01-1970 00:05:17:   7%, < 23, 15,  8,  4,  2,  0,  0>
01-01-1970 00:05:22:   7%, < 24, 16,  9,  4,  2,  0,  0>
01-01-1970 00:05:27:   7%, < 23, 15,  8,  4,  1,  0,  0>
01-01-1970 00:05:33:   7%, < 22, 14,  8,  4,  1,  0,  0>
01-01-1970 00:05:38:   6%, < 21, 13,  8,  4,  1,  1,  0>
01-01-1970 00:05:43:   6%, < 20, 13,  7,  3,  1,  0,  0>
01-01-1970 00:05:48:   7%, < 22, 14,  8,  4,  1,  1,  0>