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Concat to DataFrame

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Nimrod Gilboa Markevich
2022-05-14 23:08:42 +03:00
parent 7086a47858
commit 71b4f1e5d4
1 changed files with 16 additions and 12 deletions
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28
performance_analysis/plot_from_tapper_logs.py
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@@ -37,7 +37,9 @@ def extract_samples(f: typing.IO) -> typing.Tuple[pd.Series, pd.Series, pd.Serie
if __name__ == '__main__': if __name__ == '__main__':
filenames = sys.argv[1:] filenames = sys.argv[1:]
fig = plt.figure(1) cpu_samples_all_files = []
rss_samples_all_files = []
count_samples_all_files = []
for ii, filename in enumerate(filenames): for ii, filename in enumerate(filenames):
with open(filename, 'r') as f: with open(filename, 'r') as f:
@@ -47,28 +49,30 @@ if __name__ == '__main__':
rss_samples.name = pathlib.Path(filename).name rss_samples.name = pathlib.Path(filename).name
count_samples.name = pathlib.Path(filename).name count_samples.name = pathlib.Path(filename).name
plt.subplot(3, 1, 1) cpu_samples_all_files.append(cpu_samples)
cpu_samples.plot() rss_samples_all_files.append(rss_samples)
count_samples_all_files.append(count_samples)
plt.subplot(3, 1, 2) cpu_samples_df = pd.concat(cpu_samples_all_files, axis=1)
(rss_samples / 1024 / 1024).plot() rss_samples_df = pd.concat(rss_samples_all_files, axis=1)
count_samples_df = pd.concat(count_samples_all_files, axis=1)
plt.subplot(3, 1, 3) ax = plt.subplot(3, 1, 1)
count_samples.plot() cpu_samples_df.plot(ax=ax)
plt.subplot(3, 1, 1)
plt.legend()
plt.title('cpu') plt.title('cpu')
plt.legend()
plt.xlabel('# sample') plt.xlabel('# sample')
plt.ylabel('cpu (%)') plt.ylabel('cpu (%)')
plt.subplot(3, 1, 2) ax = plt.subplot(3, 1, 2)
rss_samples_df.plot(ax=ax)
plt.title('rss') plt.title('rss')
plt.legend() plt.legend()
plt.xlabel('# sample') plt.xlabel('# sample')
plt.ylabel('mem (MB)') plt.ylabel('mem (MB)')
plt.subplot(3, 1, 3) ax = plt.subplot(3, 1, 3)
count_samples_df.plot(ax=ax)
plt.title('packetsCount') plt.title('packetsCount')
plt.legend() plt.legend()
plt.xlabel('# sample') plt.xlabel('# sample')