10-04-2001
Assuming that your data file is called "bigdata.dat", here's a really sloppy way to do it, but it is easy-to-follow:
cat bigdata.dat |\
while read FILE ; do
script.ksh $FILE
done
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LEARN ABOUT DEBIAN
plotit
plotit(1) General Commands Manual plotit(1)
NAME
plotit - experiment data visualization
SYNOPSIS
plotit -w FILE
plotit [-lp] -q FILE [FILE]...
plotit [-lp] Y FILE [FILE...]
plotit [-lp] X Y FILE [FILE...]
DESCRIPTION
The plotit program is a simple plotting program which can draw line plots and stripcharts using a command language similar to that of gnu-
plot. It can also make quick plots of multiple data files from the command-line. Wildcards may be used in the file names.
The program takes optional expressions which can be used to manipulate data columns before plotting. Expressions may be as simple as the
designation of a column to be plotted or may contain arithmetic expressions and functions. In the latter case the espression must be
enclosed in 'single' or "double" quotation marks. Column numbers are designated by the at-sign character (@). A single expression is used
for the Y axis of the plot.
OPTIONS
-h, --help
Print the usage and exit.
--version
Print the version number and exit.
-w Watch the input file for commands to stripchart, or wait to read all of stdin before plotting. Only one file or - for stdin may be
specified with this option. No other options may be used in conjuction with this option.
-q Plot the first and second columns of each file.
-l Plot with lines.
-p Plot with points.
EXAMPLES
Plot the second column versus the first of all three files with lines only.
plotit -lq file1.dat file2.dat file3.dat
Plot the quotient of the third column and the second column versus the first column of all files matching the pattern using points only.
plotit -p '@3/@2' file??.dat
Plot the natural log of the second column divided by the third column versus the fourth column. By default these data are plotted with
both lines and points.
plotit @4 'log(@2/@3)' file.dat
AUTHOR
This manual page was written by Carlo Segre <segre@iit.edu>.
February 21, 2009 plotit(1)