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polyplot

Command-line tool to generate useful plots

Basic usage

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

Example

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: {}).

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Command-line tool to generate useful plots

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