scatter_mapbox

scatter_mapbox is a type of plot in Plotly library that allows you to create a scatter plot on a Mapbox map. Mapbox is an open-source mapping platform that allows you to create various types of maps with different styles and features.

The scatter_mapbox plot in Plotly allows you to plot markers on a Mapbox map at specific latitudes and longitudes. You can customize the markers by changing their size, color, symbol, and opacity based on the data you want to represent.

To create a scatter_mapbox plot in Plotly, you need to provide the following information:

1. Latitude and longitude of each data point.
2. Data values to be represented by each marker (size, color, symbol, and opacity).
3. Mapbox token to access the Mapbox API.

Here is an example code snippet to create a scatter_mapbox plot in Plotly:

import plotly.graph_objects as go

fig = go.Figure(go.Scattermapbox(
        lat=['45.5017', '46.7111', '46.8530'],
        lon=['-73.5673', '-71.2428', '-71.2489'],
        mode='markers',
        marker=go.scattermapbox.Marker(
            size=14
        ),
        text=['Montreal', 'Quebec City', 'Laval'],
    ))

fig.update_layout(
    hovermode='closest',
    mapbox=dict(
        accesstoken='your-mapbox-access-token',
        style='streets',
        center=dict(
            lat=46.6,
            lon=-72.7
        ),
        zoom=5
    )
)

fig.show()

This code will create a scatter_mapbox plot with three markers at the specified latitudes and longitudes on a Mapbox map with a streets style. You can also customize the size and text of the markers and the center and zoom level of the map.