Plotting

plotting.barplot(data[, modal, key, n_top, ...])	Plot top features per group as bar charts.
plotting.rankplot(data[, modal, key, n_top, ...])	Plot ranked features per group with label annotations.
plotting.circosplot(data[, modal, ...])	Plot a Circos plot for GRN analysis with an optional central embedding scatter plot.
plotting.heatmap(data, var_names[, modal, ...])	Plot time series for genes as a heatmap.
plotting.trendplot(data, var_dict[, sortby, ...])	Plot variable trends along a sorted dimension (e.g., pseudotime).
plotting.stripplot(data[, modal, key, ...])	Plot a PairGrid of the top n-th genes with high-network scores, with isolated plotting parameters and italicized gene labels.
plotting.distplot(data_dict, thresholds[, ...])	Plot the distribution of multiple parameters with thresholds on separate subplots.
plotting.GRNVisualizer(gdata)	Class for visualizing gene regulatory networks (GRNs) from GRNMuData objects.
plotting.GenomeViewer(data[, modal, gtf, ...])	A class to visualize genomic loci, including coverage tracks, gene annotations, and other genomic features.