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-rwxr-xr-xscripts/backends_cpu_usage/plot.py81
1 files changed, 0 insertions, 81 deletions
diff --git a/scripts/backends_cpu_usage/plot.py b/scripts/backends_cpu_usage/plot.py
deleted file mode 100755
index 4e5083ad..00000000
--- a/scripts/backends_cpu_usage/plot.py
+++ /dev/null
@@ -1,81 +0,0 @@
-#!/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()
-