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Add plotting script
Signed-off-by: Alex Forencich <alex@alexforencich.com>
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scripts/plot_rates.py
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95
scripts/plot_rates.py
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#!/usr/bin/env python3
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"""
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Copyright 2022, The Regents of the University of California.
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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1. Redistributions of source code must retain the above copyright notice,
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this list of conditions and the following disclaimer.
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2. Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
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and/or other materials provided with the distribution.
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THIS SOFTWARE IS PROVIDED BY THE REGENTS OF THE UNIVERSITY OF CALIFORNIA ''AS
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IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE REGENTS OF THE UNIVERSITY OF CALIFORNIA OR
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CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT
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OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
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IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY
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OF SUCH DAMAGE.
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The views and conclusions contained in the software and documentation are those
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of the authors and should not be interpreted as representing official policies,
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either expressed or implied, of The Regents of the University of California.
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"""
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import argparse
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import matplotlib
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import matplotlib.pyplot as plt
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import os
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import pandas as pd
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument('-i', '--input', type=str, default='', help="input log directory")
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parser.add_argument('-d', '--directory', type=str, default='.', help="output directory")
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parser.add_argument('-o', '--output', type=str, default=None, help="output file")
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parser.add_argument('-t', '--text', action='store_true', help="add text")
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args = parser.parse_args()
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name = args.output
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if name is None:
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name = os.path.basename(os.path.splitext(args.input)[0])
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files = [
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("tx.csv", "TX", "lcl_txkbps", 1000/1e9),
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("rx.csv", "RX", "lcl_rxkbps", 1000/1e9),
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("txrx.csv", "TX S", "lcl_txkbps", 1000/1e9),
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("txrx.csv", "RX S", "lcl_rxkbps", 1000/1e9),
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]
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curves = []
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for fn, label, col, scale in files:
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data = pd.read_csv(os.path.join(args.input, fn)).rename(columns=lambda x: x.strip())
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n_list = []
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rate_list = []
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for n, d in data.groupby(data['n']):
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n_list.append(n)
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rate_list.append(d[col].mean()*scale)
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print(n_list)
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print(rate_list)
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curves.append((n_list, rate_list, label))
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matplotlib.rcParams.update({'font.size': 14})
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f, ax = plt.subplots(1, figsize=(8, 6))
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for x, y, label in curves:
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ax.plot(x, y, label=label)
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ax.set_title("Data rate")
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ax.set_xlabel("iperf processes")
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ax.set_ylabel("Data rate (Gbps)")
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ax.set_ylim(0, 100)
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ax.legend(fontsize='small', handlelength=1, handletextpad=0.3)
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f.savefig('rates.png', dpi=300)
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f.savefig('rates.eps', dpi=300)
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if __name__ == '__main__':
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main()
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