如何在 Python 中使用 Plotly 绘制 bupar 优先矩阵

你很接近了:如果你将参数text="Absolute_Frequency"添加到px.scatter，然后更新traces:fig.update_traces(marker={'symbol': 'square'}, textfont_color='white', textposition='middle center')，这将有望为你提供所需的图表.

注释:我注意到在原始图表中，标记的大小都相同.在您包含的代码中，标记的大小取决于其绝对频率，这意味着文本有时比标记大.如果希望标记的大小都相同，可以删除参数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()

编辑:删除参数size="Absolute_Frequency"后，可以更改标记大小并设置字体大小，使其更接近最初显示的图像.

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()