import matplotlib.pyplot as plt
import numpy as np


 


# 数据设置
x_axis_data = [1,10,100,1000,10000,100000]
y_axis_data1 = [0.137/60,1.429/60,13.697/60,140.273/60,1402.71/60,14020/60] #7M/s
y_axis_data2 = [0.137/60/4,1.429/60/4,13.697/60/4,140.273/60/4,1402.71/60/4,14020/60/4] # 30M/s  
y_axis_data3 = [0.137/60*7,1.429/60*7,13.697/60*7,140.273/60*7,1402.71/60*7,14020/60*7] #1M/s
 
         
#画图
plt.semilogx(x_axis_data, y_axis_data1, 'ko-', alpha=0.5, linewidth=1, label='Average')#'
plt.semilogx(x_axis_data, y_axis_data2, 'k*--', alpha=0.5, linewidth=1, label='Min')
plt.semilogx(x_axis_data, y_axis_data3, 'kp:', alpha=0.5, linewidth=1, label='Max')
# 幂指数显示坐标轴
plt.xscale('log')
# plt.yscale('log')
  


#设置坐标轴范围
# plt.xlim((-5, 5))
# plt.ylim((0, 250))


plt.legend()  #显示上面的label
plt.xlabel('Data Size (Mb)')
plt.ylabel('Time(Min)')#accuracy
plt.savefig("01-折线图-max.png", dpi=500) # dpi越大，图片越清晰

plt.show()