Add more projection options to Mapbox map layers in Python

[wybert]

Hi, I would like to see projection support in Mapbox map layers like, px.scatter_mapbox, such as 'globe' projection (which will make a tile-based 3d globe map). I noticed that Plotly is integrated with Mapbox-gl, and the Mapbox-GL support different projections, so it should be easy to have this option in Plotly. It looks like it's already supported in scatter_geo (see the doc)but not Mapbox layers.

See projections support in Mapbox-GL here. See what's looks like with projection here,

The code by the support the function should look like,

import pandas as pd
us_cities = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/us-cities-top-1k.csv")

import plotly.express as px

fig = px.scatter_mapbox(us_cities, lat="lat", lon="lon", hover_name="City", hover_data=["State", "Population"],
                        color_discrete_sequence=["fuchsia"], zoom=3, height=300)
fig.update_layout(
    mapbox_style="white-bg",
    mapbox_layers=[
        {
            "below": 'traces',
            "sourcetype": "raster",
            "sourceattribution": "United States Geological Survey",
            "source": [
                "https://basemap.nationalmap.gov/arcgis/rest/services/USGSImageryOnly/MapServer/tile/{z}/{y}/{x}"
            ]
        }
      ])
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0}, projection= 'globe')
fig.show()

the projection option can be configured to support more projections

[alexcjohnson]

duplicate of plotly/plotly.js#6591, I'll comment over there.