I’m unable to display edges and I want the Grid Lines to be removed . And the files are provided in the link . Thank You
https://drive.google.com/drive/folders/1TVXE4n3OV6ZZ3Z1V-5igC22d_UID8y8Z?usp=sharing
@teja_m1
To remove the scene (grid lines) replace the returned dict with:
return {"data": [edge_trace, node_trace],
"layout": go.Layout(title='Network Graph With Dash',
showlegend=False, hovermode='closest',
scene=dict(xaxis={'visible':False},
yaxis={'visible':False},
zaxis={'visible':False}))}
Using my own data I was able to plot the network. That’s why I suspect that your list E is not a list of int tuples
i.e E =[(2, 5), (7, 4)…].
Could paste here a few elements in G.nodes() and E, to realize why your edges are not plotted?
G.nodes() contains list of countries provided in excel sheet , e.g brunei,china,india,indonesia while G.edges() should contain list of edges between these countries which has trade value above zero
You have in code print(E). Please paste here what is printed!!
This should be the output when the year is 1996
EdgeView([(‘china’, ‘brunei’), (‘china’, ‘cambodia’), (‘china’, ‘india’), (‘china’, ‘indonesia’), (‘china’, ‘japan’), (‘china’, ‘lao pdr’), (‘china’, ‘malaysia’), (‘china’, ‘myanmar’), (‘china’, ‘philippines’), (‘china’, ‘singapore’), (‘china’, ‘thailand’), (‘china’, ‘vietnam’), (‘brunei’, ‘india’), (‘brunei’, ‘japan’), (‘brunei’, ‘malaysia’), (‘brunei’, ‘philippines’), (‘brunei’, ‘singapore’), (‘brunei’, ‘thailand’), (‘cambodia’, ‘india’), (‘cambodia’, ‘indonesia’), (‘cambodia’, ‘japan’), (‘cambodia’, ‘malaysia’), (‘cambodia’, ‘philippines’), (‘cambodia’, ‘singapore’), (‘cambodia’, ‘thailand’), (‘india’, ‘indonesia’), (‘india’, ‘japan’), (‘india’, ‘lao pdr’), (‘india’, ‘malaysia’), (‘india’, ‘myanmar’), (‘india’, ‘philippines’), (‘india’, ‘singapore’), (‘india’, ‘thailand’), (‘india’, ‘vietnam’), (‘indonesia’, ‘japan’), (‘indonesia’, ‘lao pdr’), (‘indonesia’, ‘malaysia’), (‘indonesia’, ‘myanmar’), (‘indonesia’, ‘philippines’), (‘indonesia’, ‘singapore’), (‘indonesia’, ‘thailand’), (‘indonesia’, ‘vietnam’), (‘japan’, ‘lao pdr’), (‘japan’, ‘malaysia’), (‘japan’, ‘myanmar’), (‘japan’, ‘philippines’), (‘japan’, ‘singapore’), (‘japan’, ‘thailand’), (‘japan’, ‘vietnam’), (‘lao pdr’, ‘malaysia’), (‘lao pdr’, ‘philippines’), (‘lao pdr’, ‘singapore’), (‘lao pdr’, ‘thailand’), (‘malaysia’, ‘myanmar’), (‘malaysia’, ‘philippines’), (‘malaysia’, ‘singapore’), (‘malaysia’, ‘thailand’), (‘malaysia’, ‘vietnam’), (‘myanmar’, ‘philippines’), (‘myanmar’, ‘singapore’), (‘myanmar’, ‘thailand’), (‘philippines’, ‘singapore’), (‘philippines’, ‘thailand’), (‘philippines’, ‘vietnam’), (‘singapore’, ‘thailand’), (‘singapore’, ‘vietnam’), (‘thailand’, ‘vietnam’)])
To be able to plot the graph I defined it from numerical nodes, and edges, Ed, as a list of int tuples:
UPDATE: Unfortunately initially was pasted here a code without the changes that make axes invisible
import networkx as nx
import numpy as np
import json
import urllib.request
import plotly.graph_objects as go
url = "https://raw.githubusercontent.com/empet/Datasets/master/miserables.json"
#Read a fake file whose nodes we call ountries although they are not countries
with urllib.request.urlopen(url) as url:
jdata = json.loads(url.read().decode())
#jdata
#print (jdata.keys())
countries = [el['name'] for el in jdata['nodes']]
#countries[:5]
#Define the list of edges:
#jdata['links'][:5]
L = len(jdata['links'])
Ed = [(jdata['links'][k]['source'], jdata['links'][k]['target']) for k in range(L)]
#Ed[:5]
#E=[]
#wb=xl.load_workbook(path)
#countries=wb.sheetnames
#YRA=format(year_value)
G=nx.Graph()
for k, c in enumerate(countries):
G.add_node(k)
"""
for k, c in enumerate(countries):
G.add_node(k)
#ws=wb[c]
max_r=ws.max_row
max_c=ws.max_column
for r in range(4,max_r,3):
yr_ob=ws.cell(row=r,column=1)
yr=yr_ob.value
if yr==YRA:
for cl in range(2,max_c):
cob=ws.cell(row=3,column=cl)
cnt=cob.value
cov=ws.cell(row=r,column=cl)
ov=cov.value
if ov!=0 and ov!=None:
E.append((c,cnt))
else:
continue
print(E)
d_country = {country: k for k, country in enumerate(countries)}
Ed = [(d_country[e[0]], d_country[e[1]]) for e in E]
"""
G.add_edges_from(Ed)
pos = nx.spring_layout(G,dim=3)
#nx.draw(G,with_labels=1)
edge_trace=go.Scatter3d(x=[],y=[],z=[],line={'width':0.5,'color':'#888'},hoverinfo='none',mode='lines')
for edge in G.edges():
x0,y0,z0=pos.get(edge[0])
x1,y1,z1=pos.get(edge[1])
edge_trace['x']+=tuple([x0,x1,None])
edge_trace['y']+=tuple([y0,y1,None])
edge_trace['z']+=tuple([z0,z1,None])
node_trace = go.Scatter3d(x=[], y=[],z=[], text=countries, mode='markers', hoverinfo='text')
for node in G.nodes():
x,y,z=pos.get(node)
node_trace['x']+=tuple([x])
node_trace['y']+=tuple([y])
node_trace['z']+=tuple([z])
fig= {"data":[edge_trace, node_trace],
"layout": go.Layout(title='Network Graph With Dash', showlegend=False, hovermode='closest',
margin={'b': 20, 'l': 5, 'r': 5, 't': 40},
scene={'xaxis': {'visible':False},
'yaxis': {'visible':False},
'zaxis': {'visible':False}})}
fig=go.Figure(fig)
fig
Still unresolved . But Thanks
The code I pasted here works with synthetic data (I didn’t run your code because I should have installed packages I don’t work with, like openpyxl ). Perhaps your data are not read as you expect.
Thanks Man for the help and patience
@teja_m19 I repasted a slightly modified code, above https://community.plotly.com/t/network-graphs-using-dash-framework/36936/5, to see that it works with my data and as a consequence to
know that you can’t get the network plotted from a different reason. I provided a link to data, too.