Plp is a python frontend to gnuplot. It is inspired in the perl frontend created by Michael Sternberg, named pl. The main purpose is to quick-look at data from the command line. Say for example that a program has produced a great amountof files named output_xxx.dat. A fast way to explore the data would be: plp output_*.dat. If the data is in a single file distributed in columns, the command plots assumes the fist column as x and the rest as y. It is also possible to plot just a short range of columns with a given step:

plp -i 1:2:8:2 output.dat

Here, gnuplot will show columns from 2 to 8 every 2. The full help of the command is:

Usage: plp -n -k -u n1:n2:n3:n4 <first set of data files> ... -u n1:n2:n3:n4 <n-th set of data files> 
       -n Normalize plots wrt to maximum
       -k Show legend
       -l Plot with lines
       -p Plot with points
       -s Show gnuplot script
       -S Smooth with csplines
       -i n Interpolate n points
       -f if "-i n" is present, the interpolated data is dumped to "interp_"+data_file
       -u n1:n2 -> plot column n2 against n1
       -u n1:'(f($n2))' -> plot function f of column n2 against n1
       -u n1:n2:n3 -> plot columns n2 to n3 against n1
       -u n1:n2:n3:n4 -> plot columns n2 to n3 every n4 columns against n1
       if n2 or n3 is negative, the last column of the data file is assumed
       -t <settings_file> Import gnuplot settings
If -u is absent "-u 1:-1" is assumed
If -l and -p are absent lines-points style assumed