poky/scripts/pybootchartgui
Patrick Ohly 1416bb3244 pybootchartgui/draw.py: skip empty CPU and disk usage charts
The only real change is the addition of two if checks that skips the
corresponding drawing code when there is no data.

(From OE-Core rev: 1658fd5e9ca1ba793cae604c2a395d54e3ec9056)

Signed-off-by: Patrick Ohly <patrick.ohly@intel.com>
Signed-off-by: Ross Burton <ross.burton@intel.com>
Signed-off-by: Richard Purdie <richard.purdie@linuxfoundation.org>
2016-12-07 10:37:59 +00:00
..
pybootchartgui pybootchartgui/draw.py: skip empty CPU and disk usage charts 2016-12-07 10:37:59 +00:00
AUTHORS pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00
COPYING pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00
MAINTAINERS pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00
NEWS pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00
pybootchartgui.py scripts: use '/usr/bin/env' in shebangs with python 2014-11-12 15:38:29 +00:00
README.pybootchart pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00

			    PYBOOTCHARTGUI
			   ----------------

pybootchartgui is a tool (now included as part of bootchart2) for
visualization and analysis of the GNU/Linux boot process. It renders
the output of the boot-logger tool bootchart (see
http://www.bootchart.org/) to either the screen or files of various
formats. Bootchart collects information about the processes, their
dependencies, and resource consumption during boot of a GNU/Linux
system. The pybootchartgui tools visualizes the process tree and
overall resource utilization.

pybootchartgui is a port of the visualization part of bootchart from
Java to Python and Cairo.

Adapted from the bootchart-documentation:

  The CPU and disk statistics are used to render stacked area and line
  charts. The process information is used to create a Gantt chart
  showing process dependency, states and CPU usage.

  A typical boot sequence consists of several hundred processes. Since
  it is difficult to visualize such amount of data in a comprehensible
  way, tree pruning is utilized. Idle background processes and
  short-lived processes are removed. Similar processes running in
  parallel are also merged together.

  Finally, the performance and dependency charts are rendered as a
  single image to either the screen or in PNG, PDF or SVG format.


To get help for pybootchartgui, run

$ pybootchartgui --help

This code was originally hosted at:
	http://code.google.com/p/pybootchartgui/