how to mark points(using latitude and longitude) from pandas data frame using plotly python with satellite view

Question

i want to mark points(using latitude and longitude) from pandas data frame using plotly python with satellite view. sample df:

    device  GPSTime     GPSLat       GPSLng
    101    1614956574   16.94469    29.8267
    102    1615271467   16.94503    29.83
    103    1615271488   16.94553    29.83

i plot the data using Plotly but didn't get the satellite view. Is there any way to get a satellite view for this?

mycode:

import plotly.express as px 
fig = px.scatter_mapbox(dfL, lat="GPSLat", lon="GPSLng", zoom=15, height=500,width=1000,color="device")
fig.update_layout(mapbox_style="open-street-map") 
fig.show()

current view: enter image description here

But I need to plot these data on satalite image? Is there any way to get a satellite view for this?

Answer 1

First, if you want to use mapbox, you need to get the APIKey of mapbox . Once you have the APIKey, you can use the following code to draw the satellite image with the style specified.

import plotly.express as px

px.set_mapbox_access_token(open("mapbox_api_key.txt").read())
fig = px.scatter_mapbox(df,
                        lat=df.GPSLat,
                        lon=df.GPSLng,
                        hover_name="device",
                        height=500, width=1000,
                        zoom=15, mapbox_style='satellite')

fig.show()