This module provides functions for plotting data extracted from Oxford Nanopore sequencing reads and alignments, but some of it’s functions can also be used for other applications.
These functions include:
* Check if a specified color is a valid matplotlib color
checkvalidColor(color)
* Check if a specified output format is valid
checkvalidFormat(format)
* Create a bivariate plot with dots, hexbins and/or kernel density
estimates. Also arguments for specifying axis names, color and
xlim/ylim.
scatter(x, y, names, path, color, format, plots, stat=None, log=False, minvalx=0, minvaly=0)
* Create cumulative yield plot and evaluate read length and quality
over time timePlots(df, path, color, format)
* Create length distribution histogram and density curve
lengthPlots(array, name, path, n50, color, format, log=False)
* Create flowcell physical layout in numpy array makeLayout()
* Present the activity (number of reads) per channel on the flowcell
as a heatmap spatialHeatmap(array, title, path, color, format)
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