如何在 plotly express (px.imshow) 的热图中不显示重复值？

Question

I'm trying to plot a matrix using a heatmap chart but I would like to avoid repeated values;

When using seaborn we can set a "mask" to avoid showing all values, but I can't find the equivalent on Plotly / Plotly Express;

I would like to see something like:

But at this moment, it is the below format:

Below is an MWE example of my data structure... Any reference or help to do this will be very welcome

import pandas as pd
import plotly.express as px

heatmap_data=pd.DataFrame(
    {'user1': {'user1': 1,
               'user2': 0.5267109866774764,
               'user3': 0.905914413030722},
    'user2': {'user1': 0.5267109866774764,
              'user2': 1,
              'user3': 0.5160264783692895},
    'user3': {'user1': 0.905914413030722,
              'user2': 0.5160264783692895,
              'user3': 1}
    })
fig = px.imshow(heatmap_data,  zmin=0, zmax=1, 
                text_auto=True, 
                color_continuous_scale="Plasma")
fig

Thank you in advantage

Answer 1

The plotly heatmap does not implement the functionality you would expect. Also, matrix diagrams such as scatter plots have the ability to hide the top half. See this for examples . So I take advantage of the fact that null values are not displayed and replace unwanted data with null values in the original data. The default style then remains, so we change the theme and hide the axis lines. Finally, the height of the color bar is adjusted.

import pandas as pd
import plotly.express as px

heatmap_data=pd.DataFrame(
    {'user1': {'user1': 1,
               'user2': 0.5267109866774764,
               'user3': 0.905914413030722},
    'user2': {'user1': 0.5267109866774764,
              'user2': 1,
              'user3': 0.5160264783692895},
    'user3': {'user1': 0.905914413030722,
              'user2': 0.5160264783692895,
              'user3': 1}
    })

heatmap_data.loc['user1','user2']=None
heatmap_data.loc['user1','user3']=None
heatmap_data.loc['user2','user3']=None

fig = px.imshow(heatmap_data,
                zmin=0,
                zmax=1,
                text_auto=True, 
                color_continuous_scale="Plasma",
                template='simple_white'
               )
fig.update_xaxes(showline=False)
fig.update_yaxes(showline=False)
fig.update_layout(autosize=False, width=400, coloraxis=dict(colorbar=dict(len=0.8)))
fig