Monitor Hardware Usage Ubuntu

cpu_monitor.sh

#!/bin/bash

echo 'cpu,mem,args' >> ps.csv

while true; do
        (ps -e -o pcpu,pmem,args --sort=-pmem,-pcpu --no-headers | sed 's/^[ \t]*//;s/[ \t]*$//' | sed -e 's/\s\+/,/' | sed -e 's/\s\+/,/' | sed -r -e 's/^([0-9\.]+),([0-9\.]+),([^ ]+)(.*)?/\1,\2,\3/g' | sed -r -e 's/^([0-9\.]+),([0-9\.]+),(.*\/)(.*)/\1,\2,\4/g') >> ps.csv;
        sleep 10;
done

plot.py

import pandas as pd

if __name__ == '__main__':
    import matplotlib
    matplotlib.use('Agg')
    import matplotlib.pyplot as plt

    df = pd.read_csv('ps.csv')
    
    # average relative impact
    # df = df.groupby(by='args').mean() / df.groupby(by='args').max()
    
    # total percentage impact
    df = df.groupby(by='args').sum()
    total = df.sum()
    df = df / total

    df = df[(df['mem'] > 0.01) | (df['cpu'] > 0.01)]

    # df = df.sort_values(by='mem')
    df.plot(kind='bar')
    
    plt.tight_layout()
    plt.savefig('ps.png')