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Diffstat (limited to 'src/ci/cpu-usage-over-time.py')
| -rw-r--r-- | src/ci/cpu-usage-over-time.py | 19 |
1 files changed, 2 insertions, 17 deletions
diff --git a/src/ci/cpu-usage-over-time.py b/src/ci/cpu-usage-over-time.py index 78427a6360a..daf21670b33 100644 --- a/src/ci/cpu-usage-over-time.py +++ b/src/ci/cpu-usage-over-time.py @@ -30,23 +30,8 @@ # the second column is always zero. # # Once you've downloaded a file there's various ways to plot it and visualize -# it. For command line usage you can use a script like so: -# -# set timefmt '%Y-%m-%dT%H:%M:%S' -# set xdata time -# set ylabel "Idle CPU %" -# set xlabel "Time" -# set datafile sep ',' -# set term png -# set output "printme.png" -# set grid -# builder = "i686-apple" -# plot "cpu-".builder.".csv" using 1:2 with lines title builder -# -# Executed as `gnuplot < ./foo.plot` it will generate a graph called -# `printme.png` which you can then open up. If you know how to improve this -# script or the viewing process that would be much appreciated :) (or even if -# you know how to automate it!) +# it. For command line usage you use the `src/etc/cpu-usage-over-time-plot.sh` +# script in this repository. import datetime import sys |
