tangram.plot_utils

Description

This module includes plotting utility functions.

Functions

construct_obs_plot(df_plot, adata[, perc, …])
convert_adata_array(adata)
ordered_predictions(xs, ys, preds[, reverse])	Utility function that orders 2d points based on values associated to each point.
plot_annotation_entropy(adata_map[, annotation])	Utility function to plot entropy box plot by each annotation.
plot_auc(df_all_genes[, test_genes])	Plots auc curve which is used to evaluate model performance.
plot_cell_annotation(adata_map, adata_sp[, …])	Transfer an annotation for a single cell dataset onto space, and visualize corresponding spatial probability maps.
plot_cell_annotation_sc(adata_sp, …[, x, …])
plot_gene_sparsity(adata_1, adata_2[, …])	Compare sparsity of all genes between adata_1 and adata_2.
plot_genes(genes, adata_measured, …[, x, …])	Utility function to plot and compare original and projected gene spatial pattern ordered by intensity of the gene signal.
plot_genes_sc(genes, adata_measured, …[, …])
plot_test_scores(df_gene_score[, bins, alpha])	Plots gene level test scores with each gene’s sparsity for mapping result.
plot_training_scores(adata_map[, bins, alpha])	Plots the 4-panel training diagnosis plot
q_value(data, perc)	Computes min and max values according to percentile for colormap in plot functions
quick_plot_gene(gene, adata[, x, y, s, log, …])	Utility function to quickly plot a gene in a AnnData structure ordered by intensity of the gene signal.