plot_rank_abundance_graph.py – plot rank-abundance curve

Description:

Plot a set of rank-abundance graphs from an OTU table and a set of sample names. Multiple graphs will be plotted into the same figure, in order to allow for an easy comparison across samples.

Usage: plot_rank_abundance_graph.py [options]

Input Arguments:

Note

[REQUIRED]

-i, --otu_table_fp

Path to the input OTU table (i.e., the output from make_otu_table.py)

-s, --sample_name

Name of the sample to plot. Use “*” to plot all.

[OPTIONAL]

-o, --output_dir

Name of output directory. [default: random]

-a, --absolute_counts

Plot absolute abundance values instead of relative [default: False]

-n, --no-legend

Do not draw a legend [default: False]

-x, --x_linear_scale

Draw x axis in linear scale [default: False]

-y, --y_linear_scale

Draw y axis in linear scale [default: False]

-f, --file_type

Save plot using this image type. Choice of pdf, svg, png, eps [default: pdf]

Output:

Single graph example:

Plot the rank-abundance curve of one sample using a linear scale for the x_axis:

plot_rank_abundance_graph.py -i otu_table.txt  -s 'Sample1' -x -v

multiple graph example:

Plot the rank-abundance curve of several sample:

plot_rank_abundance_graph.py -i otu_table.txt  -s 'Sample1,Sample3,Sample5' -x  -v

multiple graph example:

Plot the rank-abundance curve of all samples in an OTU table:

plot_rank_abundance_graph.py -i otu_table.txt  -s '*' -x -f eps -v