temporalmapper.plotting

Functions

centroid_datamap(mapper[, ax, edge_labels, ...])	Plot the temporal graph in 2d with vertices at their cluster centroids.
compute_node_size(mapper, G, node_scaling, ...)
export_to_javascript(path, mapper)	write the javascript file for Roberta's edge bundling code.
generate_keyword_labels(word_bags, mapper[, ...])	Using a bag of words corresponding to each data point, get top n_words informative keywords for each cluster
growth_map(mapper[, index])	Compute a stock-market style treemap of relative growth of topics.
hex_desaturate(c, pc)	Desaturate c by pc%
plot_text_labels(axis, vertices, ...)
prepare_plotly_graph_objects(mapper, positions)
slice_df(mapper, idx)
sliceograph(mapper[, clrs, alpha])	Visualize all the slices in the kerneled cover of a TemporalMapper, requires Plotly.
squarify_text(text)	Make a string more square by adding newlines
time_semantic_plot(mapper, semantic_axis[, ...])	Create a time-semantic plot of the mapper graph.
view_gomic(mapper[, ax, clrs])	Visualize the gomic of the Mapper object
write_edge_bundling_datashader(mapper, pos)	Use datashader to bundle edges from connected components together.