Command-line tool to generate useful plots
polyplotter.py - command-line tool to generate a variety of useful plots
Usage: polyplotter.py [command] [command-specific_arguments]
Available subcommands:
dist - Draw distribution plot ("box", "violin" or "boxen") for each column in data matrix
dscatt - Draw density scatterplots of paired data
mhist - Draw histogram of methylation data
polyplotter.py dscatt -h
polyplotter.py dscatt - Draw density scatterplots of paired data.
Usage: polyplotter.py dscatt [options] datafile imgfile
Read data from two columns of file `datafile' and draw a density heatmap
of their scatterplot to `imgfile'.
Options related to input data:
-cx C | Use column C for X axis coordinates (default: {}).
-cy C | Use column C for Y axis coordinates (default: {}).
-s S | Skip S rows from top of input file (default: {}).
-l | If supplied, log-transform data (base 2).
-l10 | If supplied, log-transform data (base 10).
Graphical options:
-xs S | Set X dimension of image to S inches (default: {}).
-ys S | Set Y dimension of image to S inches (default: {}).
-xl L | Set X axis label to L.
-yl L | Set Y axis label to L.
-p P | Set dot size to P (default: {}).
-f F | Set output image format to F (default: {}).