Plot difference between two Plotly hexbin maps

I've seen posts relating to plotting the difference between two hexbin maps in matplotlib. I couldn't find anything executing the same process but for Plotly hexbin map box plots. If I have two separate hexbin subplots (t, y), is it possible to produce a single plot that subtracts the difference between t and y?

import pandas as pd
import plotly.express as px
import plotly.graph_objs as go
import plotly.figure_factory as ff
from plotly.subplots import make_subplots

data = pd.DataFrame({
   'Cat': ['t','y','y','t','t','t','t','y','y','y','t','y'],
   'LAT': [5,6,7,5,6,7,5,6,7,5,6,7],
   'LON': [10,11,12,10,11,12,10,11,12,10,11,12],
   })

data = pd.concat([data]*5)

df_t = data[data['Cat'] == 't']
df_y = data[data['Cat'] == 'y']

fig = make_subplots(
    rows = 2, 
    cols = 1, 
    subplot_titles = ('t', 'y'),
    specs = [[{"type": "choroplethmapbox"}], [{"type": "choroplethmapbox"}]],
    vertical_spacing = 0.05,
    horizontal_spacing = 0.05
    )

fig2 = ff.create_hexbin_mapbox(data_frame=df_t,
                           lat="LAT", lon="LON",
                           nx_hexagon=5,
                           opacity=0.5,
                           labels={"color": "Point Count"},
                           mapbox_style='carto-positron',
                          )

fig3 = ff.create_hexbin_mapbox(data_frame=df_y,
                           lat="LAT", lon="LON",
                           nx_hexagon=5,
                           opacity=0.5,
                           labels={"color": "Point Count"},
                           mapbox_style='carto-positron',
                          )


fig.add_trace(fig2.data[0], row=1,col=1)
fig.update_mapboxes(zoom=4, style='carto-positron')
fig.add_trace(fig3.data[0], row=2,col=1)
fig.update_mapboxes(zoom=4, style='carto-positron')

fig.update_layout(height=600, margin=dict(t=20,b=0,l=0,r=0))
fig.show()

intended output:

The bottom left bin for t has 15 points, while y has 5. So this will total 10. The middle bin has 10 points for both so will result in 0. The top right has 5 for t and 15 for y, coming to -10. But I'll set vmin to 0 to ensure no negative values.

from Plot difference between two Plotly hexbin maps