paincatastrophizingpeds.py

import streamlit as st
import streamlit.components.v1 as components
import pandas as pd
import networkx as nx
from pyvis.network import Network
from IPython.core.display import display, HTML

net = Network(notebook = True, cdn_resources="remote",height="900px", width="90%", select_menu = True, filter_menu=True,font_color="white", bgcolor = "black")

net.add_node('Node 24 - Pain Catastrophizing Scale - Pediatric [PCS-Peds]',
              title = 'Pain Catastrophizing Scale - Pediatric [PCS-Peds]', color = '#e07c3e')

net.add_nodes(['SPRINT: Signature for Pain Recovery IN Teens', 
               'SurgeryPal', 
               'Culturally adapted mobile treatment of chronic pain in adolescent survivors of pediatric bone sarcoma',  
               'Integrative Training Program for Pediatric Sickle Cell Pain',
               'Latinx Children and Surgery'],
    label = ['SPRINT: Signature for Pain Recovery IN Teens',
             'SurgeryPal',
             'Culturally adapted mobile treatment of chronic pain in adolescent survivors of pediatric bone sarcoma',
             'Integrative Training Program for Pediatric Sickle Cell Pain',
             'Latinx Children and Surgery'],
    title = ['SPRINT: Signature for Pain Recovery IN Teens',
             'SurgeryPal',
             'Culturally adapted mobile treatment of chronic pain in adolescent survivors of pediatric bone sarcoma',
             'Integrative Training Program for Pediatric Sickle Cell Pain',
             'Latinx Children and Surgery'],
    shape = ['text','text','text','text','text']

)

#'Node 24 - Pain Catastrophizing Scale - Pediatric [PCS-Peds]'
net.add_edge('Node 24 - Pain Catastrophizing Scale - Pediatric [PCS-Peds]','SPRINT: Signature for Pain Recovery IN Teens')
net.add_edge('Node 24 - Pain Catastrophizing Scale - Pediatric [PCS-Peds]','SurgeryPal')
net.add_edge('Node 24 - Pain Catastrophizing Scale - Pediatric [PCS-Peds]','Culturally adapted mobile treatment of chronic pain in adolescent survivors of pediatric bone sarcoma')
net.add_edge('Node 24 - Pain Catastrophizing Scale - Pediatric [PCS-Peds]','Integrative Training Program for Pediatric Sickle Cell Pain')
net.add_edge('Node 24 - Pain Catastrophizing Scale - Pediatric [PCS-Peds]','Latinx Children and Surgery')

net.repulsion(spring_strength = 0)       

net.show("network.html")


# Save and read graph as HTML file (on Streamlit Sharing)
try:
    path = '/tmp'
    net.save_graph(f'{path}/pyvis_graph.html')
    HtmlFile = open(f'{path}/pyvis_graph.html', 'r', encoding='utf-8')

# Save and read graph as HTML file (locally)
except:
    path = '/html_files'
    net.save_graph(f'{path}/pyvis_graph.html')
    HtmlFile = open(f'{path}/pyvis_graph.html', 'r', encoding='utf-8')

# Load HTML file in HTML component for display on Streamlit page
components.html(HtmlFile.read(), height=1000, width = 1000)