Generate matplotlib plots for btt generated data

Generate matplotlib plots for btt generated data

btt_plot.py: Generate matplotlib plots for BTT generated data files

Files handled:
  AQD   - Average Queue Depth           Running average of queue depths

  BNOS  - Block numbers accessed        Markers for each block

  Q2D   - Queue to Issue latencies      Running averages
  D2C   - Issue to Complete latencies   Running averages
  Q2C   - Queue to Complete latencies   Running averages

Usage:
  btt_plot_aqd.py       equivalent to: btt_plot.py -t aqd
  btt_plot_bnos.py      equivalent to: btt_plot.py -t bnos
  btt_plot_q2d.py       equivalent to: btt_plot.py -t q2d
  btt_plot_d2c.py       equivalent to: btt_plot.py -t d2c
  btt_plot_q2c.py       equivalent to: btt_plot.py -t q2c

Arguments:
  [ -A          | --generate-all   ] Default: False
  [ -L          | --no-legend      ] Default: Legend table produced
  [ -o <file>   | --output=<file>  ] Default: <type>.png
  [ -T <string> | --title=<string> ] Default: Based upon <type>
  [ -v          | --verbose        ] Default: False
  <data-files...>

  The -A (--generate-all) argument is different: when this is specified,
  an attempt is made to generate default plots for all 5 types (aqd, bnos,
  q2d, d2c and q2c). It will find files with the appropriate suffix for
  each type ('aqd.dat' for example). If such files are found, a plot for
  that type will be made. The output file name will be the default for
  each type. The -L (--no-legend) option will be obeyed for all plots,
  but the -o (--output) and -T (--title) options will be ignored.