Choropleth Map Plotly not Working!

📊 Plotly Python
1

Full Description (Images):

Hi there,

My name is Tony Zeidan and I am currently using the Plotly express API to make a choropleth map of Canada based on a hexagonal grid which is obtained from the Uber H3 (h3-py) library. I have managed to get the right resulting hexagonal grid and made a geo json from it.
When I use the Choropleth Mapbox method, I can only do it in Mercator projection and the result is as follows:

    dig = (px.choropleth_mapbox(
                    merged, 
                    geojson=geojson_obj, 
                    locations='h3_cell', 
                    color='count',
                    color_continuous_scale="Viridis",
                    range_color=(0,merged['count'].mean()),mapbox_style='carto-positron',
                    zoom=7,
                    center = {"lat": 65.469211, "lon": -136.713865},
                    opacity=0.7,
                    labels={'count':'# of fire ignitions '}))

The resulting map returns a correct result (a map with color coded hexagons based on count) but I need it in the Orthographic projection so I decided to use the plotly express Choropleth method instead.

    fig = px.choropleth(merged, geojson=geojson_obj, locations='h3_cell', color='count',
                           color_continuous_scale="Magma",
                           range_color=(0,merged['count'].mean()),
                           scope="north america",
                           center = {"lat": 65.469211, "lon": -136.713865},
                           labels={'count':'# of fire ignitions'}
                          )
    fig.update_geos(lataxis_showgrid=True, lonaxis_showgrid=True, projection_type='orthographic')

This results in an image of the globe being color coded one color, although when I hover over Canada it shows the correct hexagon cell ids (so they are present). Any advice would be helpful.