#!/usr/bin/env python
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#
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# Copyright (C) 2013 The Android Open Source Project
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#
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# Licensed under the Apache License, Version 2.0 (the 'License');
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an 'AS IS' BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os, sys
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import get_csv_report as psr
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import matplotlib.pyplot as plt
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import matplotlib.mlab as mlab
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import matplotlib.cbook as cbook
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import matplotlib.ticker as ticker
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"""
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A simple script to render the data from the benchmark as a graph.
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This uses MatPlotLib (http://matplotlib.org/) to plot which can be installed on linux with;
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sudo apt-get install python-matplotlib
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"""
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colors = {
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'maguro':'#FF0000',
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'mako':'#00FF00',
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'manta':'#0000FF',
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'tilapia':'#00FFFF'
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}
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def main(argv):
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if len(argv) != 2:
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print "grapher.py cts_report_dir"
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sys.exit(1)
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(_, tests) = psr.parseReports(os.path.abspath(argv[1]))
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# For each of the benchmarks
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for benchmark in tests:
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if benchmark.startswith('com.android.cts.opengl.primitive'):
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results = tests[benchmark]
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legend = []
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# Create a new figure
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fig = plt.figure()
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# Set the title of the graph
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plt.title(benchmark[benchmark.index('#') + 1:])
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# For each result in the data set
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for r in results:
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score = r.get('result', 'no results')
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x = []
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y = []
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if score == 'pass':
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y = r['details']['Fps Values']
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x = range(1, len(y) + 1)
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# Get the score, then trim it to 2 decimal places
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score = r['summary']['Average Frames Per Second']
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score = score[0:score.index('.') + 3]
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if score != 'no results':
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# Create a plot
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ax = fig.add_subplot(111)
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name = r['device']
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lbl = name + ' (%s)'%score
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clr = colors.get(name, "#%06X" % (hash(name) % 0xFFFFFF))
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# Plot the workload vs the values
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ax.plot(x, y, 'o-', label=lbl, color=clr)
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# Add a legend
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ax.legend(loc='upper right').get_frame().set_fill(False)
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(ymin, ymax) = plt.ylim()
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if ymax < 90:# So that on screen tests are easier to compare
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plt.ylim(0, 90)
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plt.xlabel('Iteration')
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plt.ylabel('FPS')
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fig.autofmt_xdate()
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# Show the plots
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plt.show()
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if __name__ == '__main__':
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main(sys.argv)
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