tiny-plot: consistent color assignment across classes, detail improvements in legend and codebase

MontgomeryLab / tinyRNA

tinyRNA provides an all-in-one solution for precision analysis of sRNA-seq data. At the core of tinyRNA is a highly flexible counting utility, tiny-count, that allows for hierarchical assignment of reads to features based on positional information, extent of feature overlap, 5’ nucleotide, length, and strandedness.

GNU General Public License v3.0

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Improvements in sample_avg_scatter_by_dge* plots:

Color assignment for classes is now consistent across samples
The legend is now (properly) sorted alphabetically rather than by group size
Groups are still plotted in descending order of size so that the least abundant classes are plotted on top
If the number of groups exceeds the number of colors in the stylesheet, tiny-plot will switch to a 20 item color map. The color map will repeat if more than 20 groups need to be plotted.

The code in plotterlib.scatter_grouped() has been refined, and the code in plotter.scatter_dge() has been slightly simplified.

Closes #219

MontgomeryLab / tinyRNA

tiny-plot: consistent color assignment across classes, detail improvements in legend and codebase #220