Python 从 plotly imshow heatmap 的最后一行和列中删除色阶

理解到这个问题的目的是从色标中排除总数，我try 了各种方法，包括子图和叠加空白图和热图，但没有得到好的结果.最简单的方法是在快速热图中添加一个四边形和注释.数据以x，y的形式创建，带有分类变量.热图是用不包括总计的数据创建的，注释是用总计作为字符串创建的.

import plotly.graph_objects as go
import plotly.express as px
import numpy as np
import pandas as pd

data = np.random.randint(0,10,60).reshape(12,5)

cols = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday']
rows = ['Jan.','Feb.','Mar.','Apr.','May','June','July','Aug.','Sept.','Oct.','Nov.','Dec.']

df = pd.DataFrame(data, columns=cols, index=rows)
df['month_sum'] = df.sum(axis=1)
df.loc['week_sum'] = df.sum(axis=0)

fig = px.imshow(
    df.iloc[:-1,:-1].values,
    labels=dict(x="Day of Week", y="Year of Month", color="Value"),
    x=cols,
    y=rows,
    color_continuous_scale="Purples",
    aspect="auto",
    text_auto='auto'
        )

for i,r in enumerate(df['month_sum']):
    fig.add_shape(type='rect',
                  x0=4.5, y0=-0.5+i, x1=5.5, y1=0.5+i,
                  line=dict(
                      color='rgb(188,189,220)',
                      width=1,
                  ),
                  fillcolor='white',
                 )
    fig.add_annotation(
        x=5,
        y=i,
        text=str(r),
        showarrow=False
    )

for i,c in enumerate(df.loc['week_sum'].tolist()):
    if i == 5:
        break
    fig.add_shape(type='rect',
                  x0=-0.5+i, y0=12.5, x1=0.5+i, y1=11.5,
                  line=dict(
                      color='rgb(188,189,220)',
                      width=1,
                  ),
                  fillcolor='white',
                 )
    fig.add_annotation(
        x=i,
        y=12.0,
        text=str(c),
        showarrow=False
    )

fig.add_annotation(
    x=1.0,
    y=1.04,
    xref='paper',
    yref='paper',
    text='Month Total',
    showarrow=False,
)

fig.add_annotation(
    x=-0.16,
    y=0.02,
    xref='paper',
    yref='paper',
    text='Week Total',
    showarrow=False,
)

fig.update_xaxes(side="top")
fig.update_layout(
    autosize=False,
    width=600,
    height=600,
    coloraxis=dict(showscale=False)
                 )

fig.show()