How to plot bupar Precedence Matrix using Plotly in Python?-CodePudding

I'm trying to plot a

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?

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()