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Plot in turbo colorscheme

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Nimrod Gilboa Markevich 2022-05-14 23:21:19 +03:00
parent 71b4f1e5d4
commit 567343a28d
1 changed files with 4 additions and 3 deletions
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7
performance_analysis/plot_from_tapper_logs.py
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@ -35,6 +35,7 @@ def extract_samples(f: typing.IO) -> typing.Tuple[pd.Series, pd.Series, pd.Serie
return cpu_samples, rss_samples, count_samples
if __name__ == '__main__':
COLORMAP = plt.get_cmap('turbo')
filenames = sys.argv[1:]
cpu_samples_all_files = []
@ -58,21 +59,21 @@ if __name__ == '__main__':
count_samples_df = pd.concat(count_samples_all_files, axis=1)
ax = plt.subplot(3, 1, 1)
cpu_samples_df.plot(ax=ax)
cpu_samples_df.plot(cmap=COLORMAP, ax=ax)
plt.title('cpu')
plt.legend()
plt.xlabel('# sample')
plt.ylabel('cpu (%)')
ax = plt.subplot(3, 1, 2)
rss_samples_df.plot(ax=ax)
rss_samples_df.plot(cmap=COLORMAP, ax=ax)
plt.title('rss')
plt.legend()
plt.xlabel('# sample')
plt.ylabel('mem (MB)')
ax = plt.subplot(3, 1, 3)
count_samples_df.plot(ax=ax)
count_samples_df.plot(cmap=COLORMAP, ax=ax)
plt.title('packetsCount')
plt.legend()
plt.xlabel('# sample')