How to plot bupar Precedence Matrix using Plotly in Python?

Question

I'm trying to plot a bupar Precedence Matrix as below using Plotly.

So far I tried to plot a scatter plot as below:

import plotly.express as px

fig = px.scatter(df, 
                 y="Antecedent", 
                 x="Consequent", 
                 size="Absolute_Frequency", 
                 color="Absolute_Frequency")

fig.update_traces(
    hovertemplate="<br>".join([
        "Antecedent: %{y}",
        "Consequent: %{x}"
    ]),
    name=""
)

fig.update_layout(
    template="plotly_white",
    # Figure title styling
    title= dict(
        text="Precedence Matrix",
        x=0.5,
        y=0.95,
        font=dict(
            family="Rockwell",
            size=20,
            color='#000000'
            )
        ),
    xaxis_title="Consequent",
    yaxis_title="Antecedent",
    font=dict(
        family="Rockwell",
        size=16),
    # Fig height
    height=600, 
    width=1200,
    # Turn off legend
    showlegend=False,
    hoverlabel=dict(
        bgcolor="white",
        font_size=16,
        font_family="Rockwell"
        )
    )

fig.show()

How to add the text annotations and create rectangles in plotly as per the bupar Precedence Matrix?

Data Prep

Antecedent	Consequent	Absolute_Frequency
register request	examine thoroughly	1
examine thoroughly	check ticket	2
check ticket	decide	6
decide	reject request	3
register request	check ticket	2
check ticket	examine casually	2
examine casually	decide	2
decide	pay compensation	3
register request	examine casually	3
examine casually	check ticket	4
decide	reinitiate request	3
reinitiate request	examine thoroughly	1
check ticket	examine thoroughly	1
examine thoroughly	decide	1
reinitiate request	check ticket	1
reinitiate request	examine casually	1

Answer 1

You are close: if you add the argument text="Absolute_Frequency" to px.scatter, and then update the traces: fig.update_traces(marker={'symbol': 'square'}, textfont_color='white', textposition='middle center') this should hopefully give you the desired chart.

Comment: I notice that in the original chart, the markers are all the same size. In the code you included, the markers are sized depending on their absolute frequency, meaning that the text is sometimes larger than the marker. If you want the markers to all be the same size, you can remove the argument size="Absolute_Frequency"

fig = px.scatter(df, 
                 y="Antecedent", 
                 x="Consequent", 
                 size="Absolute_Frequency", 
                 color="Absolute_Frequency",
                 text="Absolute_Frequency"
                 )

fig.update_traces(
    hovertemplate="<br>".join([
        "Antecedent: %{y}",
        "Consequent: %{x}"
    ]),
    name=""
)

fig.update_layout(
    template="plotly_white",
    # Figure title styling
    title= dict(
        text="Precedence Matrix",
        x=0.5,
        y=0.95,
        font=dict(
            family="Rockwell",
            size=20,
            color='#000000'
            )
        ),
    xaxis_title="Consequent",
    yaxis_title="Antecedent",
    font=dict(
        family="Rockwell",
        size=16),
    # Fig height
    height=600, 
    width=1200,
    # Turn off legend
    showlegend=False,
    hoverlabel=dict(
        bgcolor="white",
        font_size=16,
        font_family="Rockwell"
        )
    )

fig.update_traces(marker={'symbol': 'square'}, textfont_color='white', textposition='middle center')
fig.show()

EDIT: after you remove the argument size="Absolute_Frequency", you can change the marker size and set the font size to get something closer to the image you showed originally.

fig = px.scatter(df, 
                 y="Antecedent", 
                 x="Consequent", 
                 # size="Absolute_Frequency", 
                 color="Absolute_Frequency",
                 text="Absolute_Frequency"
                 )

fig.update_traces(
    hovertemplate="<br>".join([
        "Antecedent: %{y}",
        "Consequent: %{x}"
    ]),
    name=""
)

fig.update_layout(
    template="plotly_white",
    # Figure title styling
    title= dict(
        text="Precedence Matrix",
        x=0.5,
        y=0.95,
        font=dict(
            family="Rockwell",
            size=20,
            color='#000000'
            )
        ),
    xaxis_title="Consequent",
    yaxis_title="Antecedent",
    font=dict(
        family="Rockwell",
        size=16),
    # Fig height
    height=600, 
    width=1200,
    # Turn off legend
    showlegend=False,
    hoverlabel=dict(
        bgcolor="white",
        font_size=16,
        font_family="Rockwell"
        )
    )

fig.update_traces(
    marker={'symbol': 'square', 'size': 50}, 
    textfont_color='white', 
    textfont_size=14,
    textposition='middle center'
)
fig.show()