g2_cluster_graph.py

#Revenue vs Frequency
tx_graph = tx_user.query("Revenue < 50000 and Frequency < 2000")

plot_data = [
    go.Scatter(
        x=tx_graph.query("Segment == 'Low-Value'")['Frequency'],
        y=tx_graph.query("Segment == 'Low-Value'")['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'")['Frequency'],
        y=tx_graph.query("Segment == 'Mid-Value'")['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'")['Frequency'],
        y=tx_graph.query("Segment == 'High-Value'")['Revenue'],
        mode='markers',
        name='High',
        marker= dict(size= 11,
            line= dict(width=1),
            color= 'red',
            opacity= 0.9
           )
    ),
]

plot_layout = go.Layout(
        yaxis= {'title': "Revenue"},
        xaxis= {'title': "Frequency"},
        title='Segments'
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)

#Revenue Recency

tx_graph = tx_user.query("Revenue < 50000 and Frequency < 2000")

plot_data = [
    go.Scatter(
        x=tx_graph.query("Segment == 'Low-Value'")['Recency'],
        y=tx_graph.query("Segment == 'Low-Value'")['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'")['Recency'],
        y=tx_graph.query("Segment == 'Mid-Value'")['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'")['Recency'],
        y=tx_graph.query("Segment == 'High-Value'")['Revenue'],
        mode='markers',
        name='High',
        marker= dict(size= 11,
            line= dict(width=1),
            color= 'red',
            opacity= 0.9
           )
    ),
]

plot_layout = go.Layout(
        yaxis= {'title': "Revenue"},
        xaxis= {'title': "Recency"},
        title='Segments'
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)

# Revenue vs Frequency
tx_graph = tx_user.query("Revenue < 50000 and Frequency < 2000")

plot_data = [
    go.Scatter(
        x=tx_graph.query("Segment == 'Low-Value'")['Recency'],
        y=tx_graph.query("Segment == 'Low-Value'")['Frequency'],
        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'")['Recency'],
        y=tx_graph.query("Segment == 'Mid-Value'")['Frequency'],
        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'")['Recency'],
        y=tx_graph.query("Segment == 'High-Value'")['Frequency'],
        mode='markers',
        name='High',
        marker= dict(size= 11,
            line= dict(width=1),
            color= 'red',
            opacity= 0.9
           )
    ),
]

plot_layout = go.Layout(
        yaxis= {'title': "Frequency"},
        xaxis= {'title': "Recency"},
        title='Segments'
    )
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)

It may be easier to use this code to replace all the code above:

`import seaborn as sns
RFM_pairplot = sns.pairplot(data=tx_user, vars=['Recency','Frequency','Revenue'], hue='Segment', plot_kws={"s": 20}, diag_kws={'bw': 0.1})

set diag_kws to avoid error`