gistfile1.py

%matplotlib inline
import matplotlib.pyplot as plt

import httplib2
import json
import urllib

query = [
         ("source_type", "skp"),
         ("config", "8888"),
         ("config", "gpu")
         ]

enc = urllib.quote('"' + urllib.urlencode(query) + '"')

h = httplib2.Http()
r, c = h.request('http://skiaperf.com/calc/?formula=fill(filter(%s))&flat=true' % enc)
data = json.loads(c)["Traces"]
fig = plt.figure(figsize=(12,8), dpi=100)
ax = fig.add_subplot(1, 1, 1, yscale='log')
for i in range(0, 30):
    ax.plot(data[i]["values"])