graph-psi.py

%matplotlib inline
 
import numpy as np
import matplotlib.pyplot as plt
import re

data = """
some avg10=0.00 avg60=0.52 avg300=4.18 total=159949297                                                                                                              [7/309513]
some avg10=0.00 avg60=0.52 avg300=4.18 total=159949297
some avg10=0.00 avg60=0.50 avg300=4.15 total=159949297
...
"""

xdata = []
a10data = []
a60data = []
a300data = []

rexp = r'some avg10=([\.\d]+) avg60=([\.\d]+) avg300=([\.\d]+)'
for i, tgt in enumerate(data.split("\n")):
  result = re.match(rexp, tgt)

  if result:
    xdata.append(i)
    a10data.append(float(result.group(1)))
    a60data.append(float(result.group(2)))
    a300data.append(float(result.group(3)))

plt.plot(xdata, a10data, linewidth=1, color="brown", label="avg10")
plt.plot(xdata, a60data, linewidth=1, color="green", label="avg60")
plt.plot(xdata, a300data, linewidth=1, color="purple", label="avg300")
plt.xlabel("elapsed time (sec)")
plt.ylabel("value")
plt.grid(axis='y',which='major',color='black',linestyle=':')
plt.legend()
plt.show()