Is there a way to put static labels next to points on a scatterplot in python?

I currently have a dataframe that looks something like this:

I want to visualize these over a map - and this the plotly code I have as of now:

import plotly.express as px

fig = px.scatter_mapbox(df, lat="Latitude", lon="Longitude", 
                        size="Count",
                        zoom=5,
                        mapbox_style="carto-positron",
                        text="Name",
                        opacity=0.4)

fig.show()

Now, using parameters like tooltip or hover_data make the Name of each place show up when the mouse hovers over it. But I'd like these to be static labels. I saw a very similar question but that only seems to deal with the .Scatter method - which has a parameter mode that scatter_mapbox does not have.

Annotating on a map is possible with a graph object. To create one, you will need to obtain a free Mapbox API token in advance; see here to obtain the API. To create the graph, go.Scattertermapbox() sets the mode for markers and text, and sets the size of markers and text decoration, respectively. For layout, we set the center, mapbox style and API key. If you need a legend, you will need to set the name of the data frame in a looping process. The reference has an example similar to your question.

import plotly.graph_objects as go

mapbox_access_token = open("mapbox_api_key.txt").read()

fig = go.Figure()

fig.add_trace(go.Scattermapbox(mode='markers+text',
                               lat=df['Latitude'],
                               lon=df['Longitude'],
                               marker=go.scattermapbox.Marker(
                                   size=df['Count'],
                                   color='blue',
                                   opacity=0.4
                               ),
                               text=df['Name'],
                               textfont=dict(size=12,color='red'),
                               textposition='bottom center'
                              )
             )

fig.update_layout(
    autosize=True,
    hovermode='closest',
    mapbox=dict(
        accesstoken=mapbox_access_token,
        style="light",
        bearing=0,
        center=dict(
            lat=df['Latitude'].mean(),
            lon=df['Longitude'].mean()
        ),
        pitch=0,
        zoom=5
    ),
)

fig.show()