g3_merge.py

tx_merge = pd.merge(tx_user, tx_user_6m, on='CustomerID', how='left')
tx_merge = tx_merge.fillna(0)

tx_graph = tx_merge.query("m6_Revenue < 30000")

plot_data = [
    go.Scatter(
        x=tx_graph.query("Segment == 'Low-Value'")['OverallScore'],
        y=tx_graph.query("Segment == 'Low-Value'")['m6_Revenue'],
        mode='markers',
        name='Low',
        marker= dict(size= 7,
            line= dict(width=1),
            color= 'blue',
            opacity= 0.8
           )
    ),
        go.Scatter(
        x=tx_graph.query("Segment == 'Mid-Value'")['OverallScore'],
        y=tx_graph.query("Segment == 'Mid-Value'")['m6_Revenue'],
        mode='markers',
        name='Mid',
        marker= dict(size= 9,
            line= dict(width=1),
            color= 'green',
            opacity= 0.5
           )
    ),
        go.Scatter(
        x=tx_graph.query("Segment == 'High-Value'")['OverallScore'],
        y=tx_graph.query("Segment == 'High-Value'")['m6_Revenue'],
        mode='markers',
        name='High',
        marker= dict(size= 11,
            line= dict(width=1),
            color= 'red',
            opacity= 0.9
           )
    ),
]

plot_layout = go.Layout(
        yaxis= {'title': "6m LTV"},
        xaxis= {'title': "RFM Score"},
        title='LTV'
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)