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Generates benchmark plots about caches too.

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Bertrand Bordage 2014-11-24 00:13:29 +01:00
parent dc061ee2c4
commit 4f41cab418
1 changed files with 15 additions and 11 deletions
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26
benchmark.py
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@ -104,7 +104,11 @@ class Benchmark(object):
os.mkdir(RESULTS_PATH)
self.df.to_csv(os.path.join(RESULTS_PATH, 'data.csv'))
gp = self.df.groupby(('context', 'query', 'db'))['time']
self.output('db')
self.output('cache')
def output(self, param):
gp = self.df.groupby(('context', 'query', param))['time']
self.means = gp.mean().unstack().unstack().reindex(CONTEXTS[::-1])
self.stds = gp.std().unstack().unstack().reindex(CONTEXTS[::-1])
@ -112,27 +116,27 @@ class Benchmark(object):
self.plot()
def get_perfs(self):
for db in self.means.columns.levels[0]:
g = self.means[db].mean(axis=1)
for v in self.means.columns.levels[0]:
g = self.means[v].mean(axis=1)
print('%s is %.1f× slower then %.1f× faster'
% (db.ljust(11), g[CONTEXTS[1]] / g[CONTEXTS[0]],
% (v.ljust(10), g[CONTEXTS[1]] / g[CONTEXTS[0]],
g[CONTEXTS[0]] / g[CONTEXTS[2]]))
def plot(self):
xlim = (0, (self.means + self.stds).unstack().max() * 1.05)
for db in self.means.columns.levels[0]:
for v in self.means.columns.levels[0]:
plt.figure()
self.means[db].plot(
kind='barh', xerr=self.stds[db], title=db,
self.means[v].plot(
kind='barh', xerr=self.stds[v], title=v,
xlim=xlim, figsize=(15, 10), subplots=True, layout=(4, 2),
sharey=True, legend=False)
plt.savefig(os.path.join(RESULTS_PATH, '%s_detail.svg' % db))
plt.savefig(os.path.join(RESULTS_PATH, '%s_detail.svg' % v))
plt.figure()
self.means[db].mean(axis=1).plot(
kind='barh', xerr=self.stds[db].mean(axis=1), title=db,
self.means[v].mean(axis=1).plot(
kind='barh', xerr=self.stds[v].mean(axis=1), title=v,
xlim=xlim)
plt.savefig(os.path.join(RESULTS_PATH, '%s.svg' % db))
plt.savefig(os.path.join(RESULTS_PATH, '%s.svg' % v))
def create_data(using):