Analytics Core (analytics_core)¶

R_wrapper.py¶

call_Rpackage(call='function', designation='aov')[source]¶

R_matrix2Py_matrix(r_matrix, index, columns)[source]¶

analytics_factory.py¶

class Analysis(identifier, analysis_type, args, data, result=None, plots={})[source]¶

Bases: object

property identifier¶

property analysis_type¶

property args¶

property data¶

property result¶

property plots¶

property plot¶

update_plots(plots)[source]¶

generate_result()[source]¶

get_plot(name, identifier)[source]¶

publish_analysis(directory)[source]¶

save_analysis_result(results_directory)[source]¶

save_analysis_plots(plots_directory)[source]¶

make_interactive(name, identifier)[source]¶

utils.py¶

generate_html(network)[source]¶

This method gets the data structures supporting the nodes, edges, and options and updates the pyvis html template holding the visualization.

append_to_list(mylist, myappend)[source]¶

neo4j_path_to_networkx(paths, key='path')[source]¶

neo4j_schema_to_networkx(schema)[source]¶

networkx_to_cytoscape(graph)[source]¶

networkx_to_gml(graph, path)[source]¶

json_network_to_gml(graph_json, path)[source]¶

json_network_to_networkx(graph_json)[source]¶

get_clustergrammer_link(net, filename=None)[source]¶

generator_to_dict(genvar)[source]¶

parse_html(html_snippet)[source]¶

convert_html_to_dash(el, style=None)[source]¶

hex2rgb(color)[source]¶

get_rgb_colors(n)[source]¶

get_hex_colors(n)[source]¶

getMedlineAbstracts(idList)[source]¶