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author | Tomás Touceda <chiiph@leap.se> | 2014-04-04 16:34:57 -0300 |
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committer | Tomás Touceda <chiiph@leap.se> | 2014-04-04 16:34:57 -0300 |
commit | ce22976cc0e203e53799e771aa5e3717d498cc5c (patch) | |
tree | 8c69733f1f8a83ac83e40bf7e522a5fe8eae9b50 /scripts/backends_cpu_usage/plot.py | |
parent | deb78a5f3502ece98ec3e0b70f93025c4a1b3da5 (diff) | |
parent | a3fed4d42ab4a7be7bc7ebe86b35805ac73d62de (diff) |
Diffstat (limited to 'scripts/backends_cpu_usage/plot.py')
-rwxr-xr-x | scripts/backends_cpu_usage/plot.py | 81 |
1 files changed, 81 insertions, 0 deletions
diff --git a/scripts/backends_cpu_usage/plot.py b/scripts/backends_cpu_usage/plot.py new file mode 100755 index 00000000..4e5083ad --- /dev/null +++ b/scripts/backends_cpu_usage/plot.py @@ -0,0 +1,81 @@ +#!/usr/bin/python + + +from matplotlib import pyplot as plt +from movingaverage import movingaverage + + +def smooth(l): + return movingaverage(l, 10, data_is_list=True, avoid_fp_drift=False) + + +files = [ + ('sqlite', 'b'), + ('sqlcipher', 'r'), + ('u1dblite', 'g'), + ('u1dbcipher', 'm'), +] + + +# config the plot +plt.xlabel('time (s)') +plt.ylabel('cpu usage (%)') +plt.title('u1db backends CPU usage') + + +for fi in files: + + backend = fi[0] + color = fi[1] + filename = '%s.txt' % backend + + x = [] + y = [] + + xmax = None + xmin = None + ymax = None + ymin = None + + # read data from file + with open(filename, 'r') as f: + line = f.readline() + while line is not None: + time, cpu = tuple(line.strip().split(' ')) + cpu = float(cpu) + x.append(float(time)) + y.append(cpu) + if ymax == None or cpu > ymax: + ymax = cpu + xmax = time + if ymin == None or cpu < ymin: + ymin = cpu + xmin = time + line = f.readline() + if line == '': + break + + kwargs = { + 'linewidth': 1.0, + 'linestyle': '-', + # 'marker': '.', + 'color': color, + } + plt.plot( + [n for n in smooth(x)], + [n for n in smooth(y)], + label=backend, **kwargs) + + #plt.axes().get_xaxis().set_ticks(x) + #plt.axes().get_xaxis().set_ticklabels(x) + + # annotate max and min values + #plt.axes().annotate("%.2f GB" % ymax, xy=(xmax, ymax)) + #plt.axes().annotate("%.2f GB" % ymin, xy=(xmin, ymin)) + + +plt.ylim(0, 100) +plt.grid() +plt.legend() +plt.show() + |