pyprobound.plotting

Module of miscellaneous plotting functions.

Functions

contribution(rnd, batch[, kernel, max_split])	Plots the predicted relative contribution of every Binding component.
cooperativity(spacing_matrix[, len_a, len_b])	Plots the cooperativity position bias \(\omega_{a:b}(x^a, x^b)\).
enrichment_plotter(ax, counts_obs, ...[, ...])	Draws the enrichment scatterplot.
heatmap_plotter(dataframes[, title])	Plots a mapping of dataframes as a series of heatmaps.
kd_consistency(experiment, i_index, b_index, ...)	Plots the bound and unbound fractions, binned by predicted Kd.
keff_consistency(experiment, batch[, ...])	Plots the modified fraction, binned by predicted Kd.
kmer_enrichment(experiment, batch[, ...])	Plots the enrichment of k-mers, binned by predicted enrichment.
line_plotter(dataframes[, title])	Plots a mapping of dataframes as a line plot.
logo(psam[, logo_height, width, reverse, ...])	Plots a sequence recognition logo for the given PSAM.
logomaker_plotter(ax, psam[, reverse])	Plots the monomer sequence logo for the given PSAM using Logomaker.
pairwise_plotter(ax, psam[, reverse])	Plots the pairwise heatmap for the given PSAM.
plot_ticks(ax, labels, axis)	Add tick labels using MaxNLocator(integer=True).
posbias(conv1d[, mode])	Plots the position bias profile \(\omega(x)\).
probe_enrichment(experiment, batch[, ...])	Plots the enrichment of sequences, binned by predicted enrichment.
spacing(spacing_matrix[, swap])	Plots the spacing parameter \(\omega_{a:b}(x^a, x^b)\).