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app.py
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app.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import dash
import dash_core_components as dcc
import dash_html_components as html
import networkx as nx
import plotly.graph_objs as go
import pandas as pd
from colour import Color
from datetime import datetime
from textwrap import dedent as d
import json
# import the css template, and pass the css template into dash
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = "Transaction Network"
YEAR=[2010, 2019]
ACCOUNT="A0001"
##############################################################################################################################################################
def network_graph(yearRange, AccountToSearch):
edge1 = pd.read_csv('edge1.csv')
node1 = pd.read_csv('node1.csv')
# filter the record by datetime, to enable interactive control through the input box
edge1['Datetime'] = "" # add empty Datetime column to edge1 dataframe
accountSet=set() # contain unique account
for index in range(0,len(edge1)):
edge1['Datetime'][index] = datetime.strptime(edge1['Date'][index], '%d/%m/%Y')
if edge1['Datetime'][index].year<yearRange[0] or edge1['Datetime'][index].year>yearRange[1]:
edge1.drop(axis=0, index=index, inplace=True)
continue
accountSet.add(edge1['Source'][index])
accountSet.add(edge1['Target'][index])
# to define the centric point of the networkx layout
shells=[]
shell1=[]
shell1.append(AccountToSearch)
shells.append(shell1)
shell2=[]
for ele in accountSet:
if ele!=AccountToSearch:
shell2.append(ele)
shells.append(shell2)
G = nx.from_pandas_edgelist(edge1, 'Source', 'Target', ['Source', 'Target', 'TransactionAmt', 'Date'], create_using=nx.MultiDiGraph())
nx.set_node_attributes(G, node1.set_index('Account')['CustomerName'].to_dict(), 'CustomerName')
nx.set_node_attributes(G, node1.set_index('Account')['Type'].to_dict(), 'Type')
# pos = nx.layout.spring_layout(G)
# pos = nx.layout.circular_layout(G)
# nx.layout.shell_layout only works for more than 3 nodes
if len(shell2)>1:
pos = nx.drawing.layout.shell_layout(G, shells)
else:
pos = nx.drawing.layout.spring_layout(G)
for node in G.nodes:
G.nodes[node]['pos'] = list(pos[node])
if len(shell2)==0:
traceRecode = [] # contains edge_trace, node_trace, middle_node_trace
node_trace = go.Scatter(x=tuple([1]), y=tuple([1]), text=tuple([str(AccountToSearch)]), textposition="bottom center",
mode='markers+text',
marker={'size': 50, 'color': 'LightSkyBlue'})
traceRecode.append(node_trace)
node_trace1 = go.Scatter(x=tuple([1]), y=tuple([1]),
mode='markers',
marker={'size': 50, 'color': 'LightSkyBlue'},
opacity=0)
traceRecode.append(node_trace1)
figure = {
"data": traceRecode,
"layout": go.Layout(title='Interactive Transaction Visualization', showlegend=False,
margin={'b': 40, 'l': 40, 'r': 40, 't': 40},
xaxis={'showgrid': False, 'zeroline': False, 'showticklabels': False},
yaxis={'showgrid': False, 'zeroline': False, 'showticklabels': False},
height=600
)}
return figure
traceRecode = [] # contains edge_trace, node_trace, middle_node_trace
############################################################################################################################################################
colors = list(Color('lightcoral').range_to(Color('darkred'), len(G.edges())))
colors = ['rgb' + str(x.rgb) for x in colors]
index = 0
for edge in G.edges:
x0, y0 = G.nodes[edge[0]]['pos']
x1, y1 = G.nodes[edge[1]]['pos']
weight = float(G.edges[edge]['TransactionAmt']) / max(edge1['TransactionAmt']) * 10
trace = go.Scatter(x=tuple([x0, x1, None]), y=tuple([y0, y1, None]),
mode='lines',
line={'width': weight},
marker=dict(color=colors[index]),
line_shape='spline',
opacity=1)
traceRecode.append(trace)
index = index + 1
###############################################################################################################################################################
node_trace = go.Scatter(x=[], y=[], hovertext=[], text=[], mode='markers+text', textposition="bottom center",
hoverinfo="text", marker={'size': 50, 'color': 'LightSkyBlue'})
index = 0
for node in G.nodes():
x, y = G.nodes[node]['pos']
hovertext = "CustomerName: " + str(G.nodes[node]['CustomerName']) + "<br>" + "AccountType: " + str(
G.nodes[node]['Type'])
text = node1['Account'][index]
node_trace['x'] += tuple([x])
node_trace['y'] += tuple([y])
node_trace['hovertext'] += tuple([hovertext])
node_trace['text'] += tuple([text])
index = index + 1
traceRecode.append(node_trace)
################################################################################################################################################################
middle_hover_trace = go.Scatter(x=[], y=[], hovertext=[], mode='markers', hoverinfo="text",
marker={'size': 20, 'color': 'LightSkyBlue'},
opacity=0)
index = 0
for edge in G.edges:
x0, y0 = G.nodes[edge[0]]['pos']
x1, y1 = G.nodes[edge[1]]['pos']
hovertext = "From: " + str(G.edges[edge]['Source']) + "<br>" + "To: " + str(
G.edges[edge]['Target']) + "<br>" + "TransactionAmt: " + str(
G.edges[edge]['TransactionAmt']) + "<br>" + "TransactionDate: " + str(G.edges[edge]['Date'])
middle_hover_trace['x'] += tuple([(x0 + x1) / 2])
middle_hover_trace['y'] += tuple([(y0 + y1) / 2])
middle_hover_trace['hovertext'] += tuple([hovertext])
index = index + 1
traceRecode.append(middle_hover_trace)
#################################################################################################################################################################
figure = {
"data": traceRecode,
"layout": go.Layout(title='Interactive Transaction Visualization', showlegend=False, hovermode='closest',
margin={'b': 40, 'l': 40, 'r': 40, 't': 40},
xaxis={'showgrid': False, 'zeroline': False, 'showticklabels': False},
yaxis={'showgrid': False, 'zeroline': False, 'showticklabels': False},
height=600,
clickmode='event+select',
annotations=[
dict(
ax=(G.nodes[edge[0]]['pos'][0] + G.nodes[edge[1]]['pos'][0]) / 2,
ay=(G.nodes[edge[0]]['pos'][1] + G.nodes[edge[1]]['pos'][1]) / 2, axref='x', ayref='y',
x=(G.nodes[edge[1]]['pos'][0] * 3 + G.nodes[edge[0]]['pos'][0]) / 4,
y=(G.nodes[edge[1]]['pos'][1] * 3 + G.nodes[edge[0]]['pos'][1]) / 4, xref='x', yref='y',
showarrow=True,
arrowhead=3,
arrowsize=4,
arrowwidth=1,
opacity=1
) for edge in G.edges]
)}
return figure
######################################################################################################################################################################
# styles: for right side hover/click component
styles = {
'pre': {
'border': 'thin lightgrey solid',
'overflowX': 'scroll'
}
}
app.layout = html.Div([
#########################Title
html.Div([html.H1("Transaction Network Graph")],
className="row",
style={'textAlign': "center"}),
#############################################################################################define the row
html.Div(
className="row",
children=[
##############################################left side two input components
html.Div(
className="two columns",
children=[
dcc.Markdown(d("""
**Time Range To Visualize**
Slide the bar to define year range.
""")),
html.Div(
className="twelve columns",
children=[
dcc.RangeSlider(
id='my-range-slider',
min=2010,
max=2019,
step=1,
value=[2010, 2019],
marks={
2010: {'label': '2010'},
2011: {'label': '2011'},
2012: {'label': '2012'},
2013: {'label': '2013'},
2014: {'label': '2014'},
2015: {'label': '2015'},
2016: {'label': '2016'},
2017: {'label': '2017'},
2018: {'label': '2018'},
2019: {'label': '2019'}
}
),
html.Br(),
html.Div(id='output-container-range-slider')
],
style={'height': '300px'}
),
html.Div(
className="twelve columns",
children=[
dcc.Markdown(d("""
**Account To Search**
Input the account to visualize.
""")),
dcc.Input(id="input1", type="text", placeholder="Account"),
html.Div(id="output")
],
style={'height': '300px'}
)
]
),
############################################middle graph component
html.Div(
className="eight columns",
children=[dcc.Graph(id="my-graph",
figure=network_graph(YEAR, ACCOUNT))],
),
#########################################right side two output component
html.Div(
className="two columns",
children=[
html.Div(
className='twelve columns',
children=[
dcc.Markdown(d("""
**Hover Data**
Mouse over values in the graph.
""")),
html.Pre(id='hover-data', style=styles['pre'])
],
style={'height': '400px'}),
html.Div(
className='twelve columns',
children=[
dcc.Markdown(d("""
**Click Data**
Click on points in the graph.
""")),
html.Pre(id='click-data', style=styles['pre'])
],
style={'height': '400px'})
]
)
]
)
])
###################################callback for left side components
@app.callback(
dash.dependencies.Output('my-graph', 'figure'),
[dash.dependencies.Input('my-range-slider', 'value'), dash.dependencies.Input('input1', 'value')])
def update_output(value,input1):
YEAR = value
ACCOUNT = input1
return network_graph(value, input1)
# to update the global variable of YEAR and ACCOUNT
################################callback for right side components
@app.callback(
dash.dependencies.Output('hover-data', 'children'),
[dash.dependencies.Input('my-graph', 'hoverData')])
def display_hover_data(hoverData):
return json.dumps(hoverData, indent=2)
@app.callback(
dash.dependencies.Output('click-data', 'children'),
[dash.dependencies.Input('my-graph', 'clickData')])
def display_click_data(clickData):
return json.dumps(clickData, indent=2)
if __name__ == '__main__':
app.run_server(debug=True)