parallel.py is a parallel-coordinate plotting routine written in Python.
See invocation examples for examples of how to use parallel.py.
usage: parallel.py [-h] [-c COLORS [COLORS ...]] [-C COLUMNS [COLUMNS ...]]
[-p PRECISIONS [PRECISIONS ...]]
[-a AXIS_NAMES [AXIS_NAMES ...]] [-n NAMES [NAMES ...]]
[-H HEADER] [-S] [-V] [-w WRAP] [-m MINIMA [MINIMA ...]]
[-M MAXIMA [MAXIMA ...]] [-W LINEWIDTH [LINEWIDTH ...]]
[-k MARKER [MARKER ...]] [-z ZORDER [ZORDER ...]]
output files [files ...]
positional arguments:
output base name for the output file
files files containing sets to plot
optional arguments:
-h, --help show this help message and exit
-c COLORS [COLORS ...], --colors COLORS [COLORS ...]
add a color to the color cycle
-C COLUMNS [COLUMNS ...], --columns COLUMNS [COLUMNS ...]
columns containing data to plot
-p PRECISIONS [PRECISIONS ...], --precisions PRECISIONS [PRECISIONS ...]
precision for each column
-a AXIS_NAMES [AXIS_NAMES ...], --axis-names AXIS_NAMES [AXIS_NAMES ...]
names for the axes
-n NAMES [NAMES ...], --names NAMES [NAMES ...]
label for the input files
-H HEADER, --header HEADER
number of header lines in input files
-S, --split produce two output files: a PNG for the data, and an
SVG for the axes
-V, --vector Produce vector output. WARNING: Will produce very
large output files if the input is too large. More
than 50 rows of data, and possibly far fewer, is
asking for trouble. Use -S unless you're absolutely
sure you want this.
-w WRAP, --wrap WRAP number of axes to draw before wrapping
-m MINIMA [MINIMA ...], --minima MINIMA [MINIMA ...]
minimum values for each column
-M MAXIMA [MAXIMA ...], --maxima MAXIMA [MAXIMA ...]
maximum values for each column
-W LINEWIDTH [LINEWIDTH ...], --linewidth LINEWIDTH [LINEWIDTH ...]
linewidths for solution sets
-k MARKER [MARKER ...], --marker MARKER [MARKER ...]
markers for solution sets
-z ZORDER [ZORDER ...], --zorder ZORDER [ZORDER ...]
zorder offsets for solution sets