refs.py

#run from app.py
from pyvis.network import Network
import numpy as np
import os
import sys
import pandas as pd

def vizrender(ref, domain, physics, search, term):
    # set the network options
    ccx_net = Network(height='750px', width='750', bgcolor='white', font_color='blue', heading="")

    #read inputfile
    df = pd.read_csv("https://raw.githubusercontent.com/tyrin/info-topo-dash/master/data.csv")
    #set outputfile
    # filter by relationship and domain
    if ref == 'all' and 'all' in domain:
        dff = df

    elif  ref=='all':
        dff = df.loc[df['Group'].isin(domain)]

    elif domain=='all':
        dff = df.loc[df['Ref'] == ref]

    else:
        dff = df.loc[(df['Group'].isin(domain)) & (df['Ref'] == ref)]
# keyword filtering
    if term == 'no':
        dfff = dff

    elif  search=='label':
        dfff = dff.loc[(df['Label'].str.contains(term)) | (df['TargetLabel'].str.contains(term))]

    else:
        dfff = dff.loc[(df['Source'].str.contains(term)) | (df['Target'].str.contains(term))]

    sources = dfff['Source']
    targets = dfff['Target']
    weights = dfff['Weight']
    refs = dfff['Ref']
    groups = dfff['Group']
    colors = dfff['Color']
    labels = dfff['Label']
    tgtgroup = dfff['TargetGroup']
    tgtcolors = dfff['TargetColor']
    tgtlabels = dfff['TargetLabel']

    edge_data = zip(sources, targets, weights, refs, groups, colors, labels, tgtgroup, tgtcolors, tgtlabels)

    for e in edge_data:
        src = e[0]
        tgt = e[1]
        w = e[2]
        rt = e[3]
        grp = e[4]
        clr = e[5]
        lbl = e[6]
        tgtgrp = e[7]
        tgtclr = e[8]
        tgtlbl = e[9]

    # node_id, label, named args
        ccx_net.add_node(src, lbl, title=src, color=clr)
        ccx_net.add_node(tgt, tgtlbl, title=tgt, color=tgtclr)
        ccx_net.add_edge(src, tgt, value=w)

    neighbor_map = ccx_net.get_adj_list()

    # add neighbor data to node hover data
    for node in ccx_net.nodes:
        node['title'] += ' Neighbors:<br>' + '<br>'.join(neighbor_map[node['id']])
        node['value'] = len(neighbor_map[node['id']])
    if physics:
        ccx_net.show_buttons(filter_=['physics'])
        ccx_net.show("data.html")
    else:
        ccx_net.show("data.html")
    #display(HTML(outputfile))