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

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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?

mapbox plotly-python plotly openstreetmap python
1 Answers

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()

enter image description here

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